Conviva Jobs In Foster City, CA

Conviva is the first and best place to understand and optimize digital customer experiences. Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry-capturing every aspect of customer experience and engagement across all devices and linking them to the performance of underlying services, in real-time and at a fraction of the cost of alternative solutions. Conviva computes quality of experience across all users and all devices, in real time. We combine user actions with app and system responses to give your technology, business, and operations teams AI-powered insights into any issues impacting user experience and engagement. Trusted by industry leaders like Disney, NBC, and the NFL, Conviva revolutionizes how businesses understand customer experience and engagement, maximizing satisfaction, conversion, and revenue. At Conviva, we're transforming the way companies understand and act on real-time performance and customer experience data. We're looking for a Solutions Consultant who thrives at the intersection of data, technology, and storytelling. In this customer-facing role, you'll empower our clients-media and entertainment giants-to unlock deeper insights, make smarter decisions, and become evangelists for Conviva's platform. You'll act as a trusted advisor to product managers, data scientists, and technical leaders-guiding them to real-time actionability, delivering training that builds product champions, and driving measurable outcomes across the digital experience lifecycle. What Success Will Look Like: * Drive customer outcomes that lead to successful renewals and expansions by aligning use case delivery with business goals and demonstrating ongoing value. * Lead onboarding and discovery to understand customer goals, map use cases, and drive time-to-value. * Deliver engaging, narrative-driven presentations that connect Conviva's platform to customer impact. * Train and enable users across roles-from engineering to executive-to build lasting platform expertise and trust. * Collaborate with Product, and Engineering to close feedback loops and influence roadmaps. * Leverage product analytics, observability metrics, and customer data to surface insights that drive growth and retention. * Actively identify expansion opportunities by understanding product usage trends and customer pain points. * Produce RCA reports, QBRs, and best practices documentation that reinforce Conviva's value proposition. Who You Are & What You've Done: * 5+ years in a customer-facing, technical consulting, technical account management, customer success or solutions engineering role in a SaaS environment. * Experience working with analytics platforms such as NPAW, MUX, Amplitude, Mixpanel, Quantum Metric, Content Square or Adobe Analytics * Strong communication and relationship-building skills-you know how to engage stakeholders at all levels. * Demonstrated success in helping customers turn data into action, ideally in a product-led analytics or observability context. * Passion for teaching, problem-solving, and continuous learning. * Approximately 20% travel required, based on business needs. Bonus Points For: * Background in media streaming, OTT, or video QoE platforms. * Experience with scripting (e.g., Python, JS) or integrating APIs. * Hands-on experience with statistical methods, SQL, or data visualization. * Familiarity with A/B testing frameworks or digital optimization tools. The expected salary range for this full-time position in the SF Bay Area is $125,000- $165,000 + equity + benefits. Compensation is determined by numerous factors such as your qualifications, experience, relevant education, and work location. Underpinning the Conviva platform is a rich history of innovation. More than 60 patents represent award-winning technologies and standards, including first-of-its kind-innovations like time-state analytics and AI-automated data modeling, that surfaces actionable insights. By understanding real-world human experiences and having the ability to act within seconds of observation, our customers can solve business-critical issues and focus on growing their business ahead of the competition. Examples of the brands Conviva has helped fuel streaming growth for include: DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision and Warner Bros Discovery. Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at **************** Join us to help extend our leadership position in big data streaming analytics to new audiences and markets!

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Mountain View, CA. We are looking for an Executive Assistant to provide administrative and organizational support to senior leaders. You will be responsible for skillfully interacting with management within and outside of the company, comfortably communicating with customers, vendors and visitors and flawlessly handling confidential and critical details. You will also be responsible for anticipating the needs of multiple managers and flexibly accommodating work schedules. Responsibilities • Coordinate meeting responsibilities (could include: logistics, action items, note taking, assist in preparing content, etc.) • Plan, organize and manage multiple calendars (resolve overlapping commitments and protect time for priorities) • Coordinate all travel arrangements • Manage logistics for special events such as team all-hands or off-sites • Prepare and submit expense reports and purchase requisitions in a timely manner • Understanding teams' budgets • Participate in special projects, as agreed with manager(s) • Maintain email distribution lists / aliases • Act as the point of contact between workplace services to meet facility needs for the team • May train and coach new AAs Basic Qualifications • 4+ years of experience working at the senior level in an administrative role Preferred Qualifications • Experience with project and budget management • Experience supporting multiple leaders of large teams • Advanced knowledge of MS Office (Outlook, Word, PowerPoint and Excel) and cloud-based applications (SharePoint) • Excellent communication, teamwork and organizational skills • Ability to professionally interact with senior leaders and anticipate their needs. • Thrives in a fast-paced, demanding environment • Ability to effectively manage time, prioritize tasks, and work within deadlines, even if ambiguous environments. • Demonstrates a proactive attitude and a willingness to take on additional project work • Adapts to changes quickly and can learn and adopt new technologies and be flexible with new systems, tools and processes • Demonstrates ability to be proactive, take initiative, exercise good judgment, discretion and confidentiality in all tasks Suggest Skills • Resourcefulness • Adaptability • Stakeholder Engagement • Critical Thinking You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $81,000 to $133,000 . Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Hiring Manager Description (Internal Visibility) LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Mountain View, CA. We are looking for an Executive Assistant to provide administrative and organizational support to senior leaders. You will be responsible for skillfully interacting with management within and outside of the company, comfortably communicating with customers, vendors and visitors and flawlessly handling confidential and critical details. You will also be responsible for anticipating the needs of multiple managers and flexibly accommodating work schedules. Responsibilities • Coordinate meeting responsibilities (could include: logistics, action items, note taking, assist in preparing content, etc.) • Plan, organize and manage multiple calendars (resolve overlapping commitments and protect time for priorities) • Coordinate all travel arrangements • Manage logistics for special events such as team all-hands or off-sites • Prepare and submit expense reports and purchase requisitions in a timely manner • Understanding teams' budgets • Participate in special projects, as agreed with manager(s) • Maintain email distribution lists / aliases • Act as the point of contact between workplace services to meet facility needs for the team • May train and coach new AAs Basic Qualifications • 4+ years of experience working at the senior level in an administrative role Preferred Qualifications • Experience with project and budget management • Experience supporting multiple leaders of large teams • Advanced knowledge of MS Office (Outlook, Word, PowerPoint and Excel) and cloud-based applications (SharePoint) • Excellent communication, teamwork and organizational skills • Ability to professionally interact with senior leaders and anticipate their needs. • Thrives in a fast-paced, demanding environment • Ability to effectively manage time, prioritize tasks, and work within deadlines, even if ambiguous environments. • Demonstrates a proactive attitude and a willingness to take on additional project work • Adapts to changes quickly and can learn and adopt new technologies and be flexible with new systems, tools and processes • Demonstrates ability to be proactive, take initiative, exercise good judgment, discretion and confidentiality in all tasks Suggest Skills • Resourcefulness • Adaptability • Stakeholder Engagement • Critical Thinking Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. This role will be hybrid in LinkedIn's Mountain View, CA campus. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. At LinkedIn, we're hiring a Business Operations Manager for planning and spend management function for our engineering infrastructure. This is a great opportunity to join a globally recognized company experiencing significant growth, and help contribute to the vision of creating economic opportunity for every member of the global workforce. With our successful core product offerings and expanding portfolio of innovative new products and features, our need for highly talented professionals has never been greater! The successful candidate will help the Infrastructure Business Engineering team gather, analyze, and organize information in effort to continuously identify ways to improve Linkedin's bottom line. They will help manage the budget, track industry and competitive trends, develop forecasting models and scenario analysis, examine performance, spot opportunities, identify threats, look for novel solutions, and develop creative action plans within Engineering. The candidate will focus on both long-term decisions and the prioritization of short-term actions. Responsibilities: • Partner with leadership to provide business solutions that enable scalable and cost-effective growth of LinkedIn's global infrastructure • Developing and maintaining detailed supply chain metrics and performance reports to identify areas for improvement and enhance operational efficiency. • Collaborating with project managers, procurement teams, and engineering staff to align supply planning processes with broader project objectives and timelines. • Forecasting demand for infrastructure materials and services by analyzing project timelines, historical data, and upcoming requirements to ensure supply meets project needs. • Managing inventory levels to maintain optimal stock while minimizing excess and obsolescence, ensuring availability of critical components without overstocking. • Proactively engage service owners to identify business needs and build business plans and cost models to understand financial impact and aid decision making • Help develop budget plans in partnership with FP&A and engineering managers • Partner with leaders to develop deep understanding of their technologies and business operations needs • Lead optimization initiatives, proactively supporting leaders in making optimized service total cost of ownership decisions • Drive transformational change to the way we manage business operations at LinkedIn through developing and implementing new solutions, systems, processes, and tools that focus on identifying and executing on cost optimization opportunities • Design, develop, and deploy operating framework to manage infrastructure business operations including all aspects of budget management with regular performance reviews • Lead monthly budget review process, collaborating with leadership to draw insights and develop appropriate action plans to meet budget targets • Refine and manage business operations metrics • Integrate budget with procure-to-pay processes and systems to ensure all purchases and payments link to plans, providing systematic way of cost transparency through automation Basic Qualifications: • B.S./B.A. in Engineering, Computer Science, Information Systems, or business field, or equivalent practical experience • 5+ years of experience implementing and/or managing business operations solutions and projects in global infrastructure industry • 3+ years of experience in management consulting, business strategy, financial planning & analysis, and/or budget management related to infrastructure operations Preferred Qualifications: • MBA or Master's degree in Engineering • Track record of exhibiting end-to-end ownership and efficient problem solving • Demonstrated ability to lead project teams, influence peers, senior management, and stakeholders, and deliver results in a cross functional environment • Proven track record of executing under tight deadlines and ensuring deliverable timelines are met • Working knowledge of financial concepts such as capital & operational expenses, depreciation & amortization, accrual, fixed assets, cost center, chart of accounts, etc. • Demonstrated technical understanding of infrastructure technologies such as datacenter, network, system, storage, voice & video, end-user computing, and enterprise IT systems • General knowledge of procure-to-pay process - purchase requisition & order, pricing & quotes, invoice & payments • Strong analytical, organizational, and written/verbal communication skills Suggested Skills: • Infrastructure Spend Management • Infrastructure Budget Management • Financial Planning • Supply Planning LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $127,000 to $207,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. Our team is responsible for architecting, designing, implementing, and maintaining robust network infrastructures for data centers and DCI optical networks. We ensure seamless connectivity, security, and reliability within campus and across global data center networks. We develop tools and automate processes to support our hypergrowth. As a Staff Network Engineer, you'll play a pivotal role as a technical leader and exemplar within our team. We seek an individual who crafts and implements technology solutions aligned with business and technical goals, stays abreast of cutting-edge networking research, fosters collaboration across teams, and adeptly balances competing priorities. In addition to leadership acumen, a successful Staff Network Engineer should demonstrate sufficient proficiency in both networking and software engineering. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based out of our Hillsboro, OR. Responsibilities: Review architectures, network designs, automated network provisioning and tools, and provide recommendations for continuous improvements in all aspects of the network, including network performance, capacity, reliability, and observability. Design, deploy, and operate a large-scale network for data center infrastructure and backbone across multiple geographical regions. Collaborate with cross-functional teams to align implementation with business objectives. Perform network maintenance and upgrades. Identify gaps and develop solutions to automate deployments and auto-remediate network faults. Network security and compliance. Participate in on-call rotation, resolve network outages, conduct post-mortems and remediation plans. Evaluate new platforms to address scaling challenges and drive requirements with OEMs/ODMs to support our technology stack. Basic Qualifications: Bachelor's degree in Computer Science or a related field, or equivalent experience 5+ years of proven hands-on industry experience in network and data center engineering in hyperscalers environment. Understanding of network protocols such as TCP/IP, BGP, MPLS, RDMA, network overlay technologies, and network-based Quality of Service (QoS). Experience with programming languages like Python, Go, or other scripting languages. Knowledge in Kubernetes, host networking, host TCP tuning. Knowledge in network congestion control solutions such as QoS, DCTCP/ECN, and eBPF. Knowledge in network management, configuration generation and provisioning systems and tools. Ansible, REST/gRPC, NETCONF, Jenkins, Puppet, YANG, OpenConfig, etc. Previous knowledge in hardware and software testing using IXIA or other testing platforms. Preferred Qualifications: Master's Degree in a technical discipline 10+ years of professional experience Experience in SONiC Experience in evaluating and deploying new HW platforms and SWs to solve DC growth and operational challenges. Experience in designing and deploying network infrastructure for HPC workloads. Suggested Skills: Network Protocols Kubernetes Network Design Network Engineering You will Benefit from our Culture: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is [$147000 to $240000]. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. This role will be based in Sunnyvale, San Francisco, Bellevue or New York City. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. As a Staff Engineer at LinkedIn, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our members' platform activities and industry trends to create personalized recommendations that are delivered to our members at the optimal moment. Responsibilities: • Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation solutions • Write production quality code and influence the next generation of LinkedIn's system • Collaborate with 10+ machine learning engineers to deliver impact on LinkedIn newsfeed • Build scalable AI innovations with foundation and infra partners Basic Qualifications: • Bachelor's degree in Computer Science or related technical field or equivalent practical experience • 4+ years of industry experience in software design, development, and algorithm related solutions. • 4+ years experience in programming languages such as Java, Python, etc. • 4+ years experience with machine learning, data mining, and information retrieval or natural language processing Preferred Qualifications: • 6+ years of relevant machine learning experience • MS or PhD in Computer Science or related technical discipline • Experience with machine learning, optimization algorithms, deep-learning techniques • Experience developing large scale systems • Experience with Spark, Tensorflow and Java. • Previous leadership or mentorship experience is preferred • Ability to diagnose technical problems, debug code, and automate routine tasks • Analytical approach coupled with solid communication skills and a sense of ownership • Track record of producing papers in conferences such as KDD, WWW, WSDM, and Patenting Innovations Suggested Skills: • Experience leading engineers to tackle a large-scale AI problem • Strong technical background & Strategic thinking • Experience in Machine Learning, Big Data and Deep Learning • Experience in GAI and/or LLMs You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000-$268,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn Data Science team is distributed in the US (Sunnyvale, Mountain View, San Francisco, New York), India and Dublin. We leverage science and engineering to maximize the power of data. Our work spans member engagement, growth, marketing, sales, operations, economic graph and more. With over one billion members around the world, a focus on member value, and a mix of B2B and B2C programs, a career in Data Science at LinkedIn offers countless ways to have an impact. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. As the Senior Manager of Data Science for the PSM (Product Service & Marketplaces comprising of LinkedIn Ads and LinkedIn Sales Solutions) team, you will lead an amazing team who are key to building data and intelligence into both Ads and Sales Solutions marketplaces comprising of marketing, sales, pricing, and customer success processes. This includes building a data foundation (e.g., metrics, targeting dimensions); applying statistical techniques such as A/B testing, and LTV estimation to measure Ads initiatives; applying machine learning to optimize the performance of key PSM process; and conduct in depth member and customer deep dive analysis to inform strategic decisions. You will lead a team to work closely with cross-functional teams such as product, engineering, AI, design, and user research, to develop and deliver insights, analyses, metrics and solutions with actionable recommendations to business partners. You will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through creative storytelling and timely actions. You'll be responsible for building a strong technology-driven culture, overseeing some of the most talented scientists, and helping them to pursue their passion and transform their careers. You will develop a strong bench of talent across people and technical leadership, and help the team find their voice to articulate how our trust teams can be Data First. Your growth will come from building and supporting strong leaders to whom you can effectively delegate, mentor for peak performance, define clear roles and accountability, communicate clear priorities and maximize cross-organizational alignment. Your long-term success will come not from a “command and control” style, but from “inspire and empower”. Responsibilities: • Define the strategic vision and roadmap to empower PSM growth by deepening our understanding of systems and marketplaces, enabling effective optimizations and data informed decisions. • Partner with our Marketing and Sales executive teams to align on goals, identify opportunities in our current state, as well as define where to build scalable technology and aligned methodology across lines of business. • Build strong collaboration and connective tissue with the other Line of Business Data Science teams and with key horizontal DS functions. • Be a role model and professional coach for data scientists and managers. Help them realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges (within and outside their team) to stretch their skills. • Analyze large-scale structured and unstructured data; develop deep-dive analysis and machine learning models to drive member value and customer success • Lead the team to deliver strong results by researching and building cutting edge, leverageable methodologies and solutions. • Align with relevant teams on prioritization. • Be an industry thought leader. Represent LinkedIn in relevant industry forums. Basic Qualifications: • BS or above degrees in a quantitative field - Computer Science, Operational Research, Statistics, Economics, or related fields • 7+ years of relevant industry or relevant academic experience in Data Science / Analytics working with data; 2+ years experience in managing a team • Experience with SQL/Relational databases and data visualization tools • Experience in one of the domains - product analytics, marketing analytics, or sales analytics • Experience in applied statistics Preferred Qualifications: • 10+ years of relevant work experience • 3+ years' experience in managing Data Science teams • MS/PhD degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields • Strong leadership with track records in building high performing Data Science teams, driving projects, applying strategic thinking, building thought leadership and influencing senior leaders and executives • Demonstrated ability to work with peers in engineering and product management across teams to set technical and product direction • Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives • Team player who understands the collaborative nature of this work with the ability to influence at C-suite level in a cross-functional environment • Experience managing through leads • Experience managing teams of 20+ data scientists/engineers • Extensive experience with Statistical inference, statistical modeling, experimentation, causal inference, and ML algorithms • Demonstrated ability to work with peers in Data Science or cross-functional teams • Experience telling stories with data and evangelizing a data driven culture Ability to work closely with tech leads to provide substantive guidance to more technically or analytically complex projects • Experience with manipulating massive-scale structured and unstructured data • Experience with Hadoop or other MapReduce paradigms, and associated languages such as Spark, Trino, etc. • Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, Python) • Proficiency in SQL and at least one programming language (e.g., R, Python, Scala) • Experience influencing strategy through data-centric presentations Suggested Skills: • People Leadership • Ads experience • Data Science / Analytics You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $162,000-$267,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role will be based in Mountain View, Bellevue, or San Francisco. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform,compute platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. Responsibilities: -Lead, coach and manage core team of engineers working on building the infrastructure. -Participate with senior management in developing a long-term technology roadmap for the team and company. -Have the ability to dive deep into technical discussions to challenge the status quo, and steer the team in the right direction/to push the envelope. -Communicate and collaborate effectively with stakeholders across engineering and business leadership. -Help the team realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges to stretch their skills. -Drive a culture of operational excellence. Lead the team into defining performance goals, metrics and building the infrastructure and tooling necessary to maintain a high quality bar and detect issues in real time. -Create an inclusive work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for quality. Basic Qualifications: -BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience. -1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training -5+ years of industry experience in software design, development, and large-scale software engineering -Experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages. -Hands on experience developing distributed systems, databases, large scale data systems and/or Backend API's Preferred Qualifications: -MS or PhD in Computer Science or related technical discipline -2+ years of hands-on software engineering/technical management and people management experience -7+ years industry experience in software design, development, and algorithm related solutions. -5+ years programming experience in languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages. -Experience in architecting, building, and running large-scale distributed systems -Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice -Experience with open-source project management and governance Suggested Skills: Distributed systems Backend Systems Infrastructure Java/Golang/Rust/Python You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $200,000 - $268,000 Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

AI Engineering Manager - Foundational Data LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Team Overview: LinkedIn's Core AI organization stands as the innovation epicenter, addressing the fundamental AI challenges and the force behind LinkedIn's next-generation AI-driven member experiences. Our mission spans across the entire marketplace, leveraging our expertise in data curation, algorithm development, and robust infrastructure to spearhead AI innovations. We are dedicated to creating a transformative impact on all LinkedIn products, establishing the platform as a leader in the AI realm. You will be leading a team of data infra and machine learning engineers to build a foundational data platform that combines and unifies all textualized member profile, activity and graph data across LinkedIn into a canonical format in a privacy and policy compliant manner with capabilities of massive scale data preparation, nearline and offline serving, quality control and data selection. You will be responsible for ensuring high quality, privacy aware data for next generation machine learning training and evaluation. Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA. Responsibilities: Provide direct leadership for a team of 5-10 engineers. Collaborate closely with various other teams (Product, Applications, Infrastructure, Vertical AI teams, etc.) to align on initiatives, leveraging existing solutions, and ensure optimal collaboration. Participate in key technical and design discussions with Technical Leads in the team. Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments. Attract world class talent and provide technical guidance, career development, and mentoring to team members. Basic Qualifications: 5+ years of related industry experience in software design, development, and algorithm related solutions 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training BA/BS in Computer Science or other technical discipline, or related practical technical experience Hands on experience in data engineering, data modeling and machine learning Preferred Qualifications: 2+ years of experience as an Engineering Manager 7+ years of hands on experience in data engineering or a related discipline MS or PhD in Computer Science, Machine Learning, Statistics or related fields Experience building enterprise grade distributed systems and/or data platforms Suggested Skills: Engineering Management Technical Leadership Distributed Systems Data Engineering You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. -- Compensation Disclosure: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000 - $268,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement: We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. About the team LinkedIn's members entrust us with their information every day and we take their security seriously. Our core value of putting our members first powers all the decisions we make, including how we manage and protect the data of our members and customers. Information Security at LinkedIn is dedicated to protecting and securing business-critical member data and company assets. Our core mission is to empower LinkedIn to create a secure and thriving platform for every member of the global workforce. The Product Security team strives to proactively safeguard our products, applications, and infrastructure by identifying, assessing, and mitigating security and privacy risks. We are dedicated to protecting our members by researching evolving threats and attack vectors, identifying vulnerabilities and providing security consultation to minimize potential risks. We invest significantly in automation and focus on high impact engineering projects that detect security risks. Responsibilities: • Research threats and attack vectors that impact LinkedIn's applications and infrastructure. • Assess new and existing applications and system deployments for vulnerabilities and design flaws and prioritize remediation efforts based on risk. • Devise and bolster defenses through secure-by-default frameworks, architectures, and processes. • Engage with Product, Infrastructure and Engineering teams to build threat models, design secure systems, perform security penetration tests and secure code reviews at a recurring cadence. • Build, maintain and enhance source code scanning capabilities to detect security vulnerabilities. • Maintain and build improvements to systems supporting supply chain assurance. • Design and implement custom solutions that can identify and help mitigate security vulnerabilities at scale. • Engage in quarterly purple team activities focused on breaking and hardening critical systems in the LinkedIn ecosystem. • Evaluate new products and technologies, including potential acquisitions. • Respond to external vulnerability researcher inquiries and vulnerability reports. • Educate and advocate for security improvement throughout the LinkedIn ecosystem through mentorship and coaching. Basic Qualifications • Bachelor's degree in Information Security, Cybersecurity, Computer Science, or a related field, or equivalent experience • 4+ years' experience and in-depth knowledge of application security, authentication and security protocols, cryptography, supply chain security and mobile security. • 4+ years' experience in various security assessment methodologies such as threat modeling, design reviews, penetration testing and vulnerability assessment. • Experience designing and implementing tooling that detects and mitigate security vulnerabilities • Experience with programming languages such as Java, GoLang or Python Preferred Qualifications • Master's degree in Information Security, Cybersecurity, Computer Science, or other related technical disciplines. • 5+ years' experience and in-depth knowledge of application security, authentication. and security protocols, cryptography, supply chain security and mobile security. • Experience with security research, bug bounty and CTF competitions • Experience with codeql, semgrep and GitHub integration workflows • Ability to work across teams and communicate concisely and clearly to stakeholders Suggested Skills: -Application and Infrastructure Security -Penetration Testing of applications, cloud infrastructure, and systems components -Software development using Python, Go or Java -Threat modeling and risk assessments You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $121,000 to $198,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Technology leaders collaborate, maintain balance, commit and achieve results - all while upholding immense pride in their quality of work. Our leaders value their craft and inspire their team to do the same. They balance product and technology strategy to put members first. They are responsible for attracting, retaining, engaging and developing their teams while also leading and inspiring them to achieve the goals of LinkedIn. Engineering leaders are champions of LinkedIn to their coworkers, their networks and the tech community. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. Job Description As a Distinguished Engineer in the LinkedIn Marketing Solutions team (LMS), you will lead technology vision and development for the largest B2B Advertising Network in the world. You will help us define the technology vision for the AI-first transformation of not only the ads products, but the ads stack as well. You will partner with engineering leaders across LinkedIn, to drive the core technical agenda for the organization. You will build advertising platforms and products that impact the lives of over 1 Billion+ members and hundreds of thousands of advertising customers around the world. The successful candidate will be a strong thought leader in the technology space, with the ability to build and execute at scale, inspiring and guiding a large team of engineers solving big problems. LinkedIn Marketing Solutions is the largest and fastest growing scaled B2B Advertising Platform in the world. Some of the things that this team works on: Ad Serving Platform, Tracking Platform, Audiences and Targeting Platform, Marketing Identity Platform. Measurements and Analytics platforms like Customer Data Platform, Engagement Data Platform, Reporting Platform, and DMP Integrations. Analytics products like Website Analytics, Audience Engagement, Sales Impact, etc. Full funnel of advertising like Brand, Consideration, and Performance Advertising consisting of products like Sponsored Messaging, Video/Image/Text Ads, Document Ads, CTV Ads, etc. Demand Platforms and Experiences like Campaign Manager, Business Manager, and API Partner Ecosystem. Advertiser Demand Growth, Advertiser Comms, and Data Foundations. AI, Generative AI, and big data. LinkedIn Audience Network for off-site inventory of our vast network of publishers and partner exchanges. Responsibilities: Possess a strong understanding of the advertising industry and its trends and provide domain expertise to the team. Help define business strategy and technical strategy and drive alignment cross functionally. Head cross team/cross functional discussions and drive alignment on product/technology strategy. Help build highly scalable systems and applications to enable the organization to achieve its goals. Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. Establish a culture that values diverse viewpoints while navigating complex decisions. Qualifications: Basic Qualifications 10+ years of software development experience 4+ years experience in large distributed systems B.A./B.S. degree in Computer Science or related field Preferred Qualifications Masters degree or higher in Computer Science or related field. Relevant advertising industry experience. Experience of technical leadership guiding and mentoring top engineering and operations talent. Excellent verbal and written communication skills. Suggested Skills: * AI/ML expertise * Technical Leadership * Ads domain expertise LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $238,000 to $390,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock and benefits. For additional information, visit: ************************************* Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. As part of our world-class software engineering team, you will be at the forefront of revolutionizing how our systems and applications perform and operate. You will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform, etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry-standard open-source infrastructure products like Kubernetes, GRPC, and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. Responsibilities: - Develop strategy, build a roadmap and execute for the infrastructure team. - Coach, mentor, develop career and grow talent within the team. - Identify problems and opportunities & deliver impact by driving innovation while building and shipping software at scale. - Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. - Work closely with partners regularly to help define a roadmap. - Resolve conflicts between teams within the organization to get alignment and build team culture. - Manage teams to scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, review code, and deliver with speediness and quality. Basic Qualifications • BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience. • 3+ years of experience in software engineering/technical management and people management. • 7+ years of industry experience in software design, development, and large-scale software engineering • Experience programming in object-oriented and/or functional programming languages like Java, Scala, C++, Python, Golang • Hands on experience developing distributed systems, databases, large scale data systems Preferred Qualifications - MS or PhD in Computer Science or related technical discipline - 4+ years of experience in hands-on software engineering management and people management - 10+ years of industry experience in software design, development, and large-scale software engineering - 2+ years of experience managing first line manager Suggested Skills: - Technical Leadership - People Management - Stakeholder Management - Storage You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $191,000 - $315,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in our Mountain View, CA campus. At LinkedIn, we're hiring a Senior Software Engineer to develop and manage infrastructure business operations software and data systems from concept through its production life-cycle. This is a great opportunity to join a globally recognized company experiencing significant growth, and help contribute to the vision of creating economic opportunity for every member of the global workforce. With our successful core product offerings and expanding portfolio of innovative new products and features, our need for highly talented professionals has never been greater! The successful candidate will lead, build, and manage development and operations of software/data/process solutions to transform data center infrastructure engineering and operations, specifically, hardware forecasting, power capacity planning, financial planning and management, sourcing/procurement/supply-chain management, hardware fulfillment and asset life-cycle management. The candidate will focus on both long-term decisions and the prioritization and execution of short-term actions. Responsibilities: · Drive Strategy and Vision: Develop the vision and define strategic roadmaps for transforming data center infrastructure operations, leading initiatives to improve business efficiency and operations. · Analyze and Innovate: Evaluate the current state of systems, identify gaps and opportunities for improvement, and design high-impact solutions. Collaborate with stakeholders to align objectives, plan development, prioritize features, and execute with precision. · Champion Customer Success: Advocate for customer outcomes, ensuring that solutions deliver measurable ROI and tangible business benefits. · Architect and Build Distributed Systems: Design and develop distributed applications, making architectural decisions that balance synchronous and asynchronous design patterns. Write high-quality code, ensuring timely delivery with a focus on performance and reliability. · Develop Scalable Applications: Build multi-tier, user-centric applications that are scalable, high-performing, and reliable, ensuring 24x7 uptime for mission-critical systems. · Design Backend Systems and APIs: Create robust data models, schemas, and APIs to support seamless backend operations, ensuring efficient data flow and system integration. · Create Reusable UI/UX Components: Develop and maintain a consistent, reusable UX/UI pattern library to standardize common workflows such as search, list, CRUD operations, reporting, and analytics across applications. · Ensure Code Quality and Best Practices: Deliver high-quality software that is thoroughly unit tested, code reviewed, and regularly integrated into the development pipeline for continuous integration. · Provide Technical Leadership: Lead by example, establishing and driving best engineering practices to plan, initiate, and execute large-scale, cross-functional projects. · Improve Engineering Productivity: Identify and champion opportunities to enhance engineering efficiency and productivity through process improvement, tool development, and knowledge sharing. · Mentor and Develop Team Members: Mentor junior engineers, guiding them on coding standards, design patterns, and operational best practices to foster growth and improve team capability. · Support Production Systems: Provide on-call and production support for deployed systems, ensuring operational stability and addressing issues promptly. Basic Qualifications: · Bachelor's Degree in Computer Science, Engineering or related technical discipline, or equivalent practical experience · 2+ Years of experience in large scale full-stack software development such as: -Database design and development -API development and integration -Distributed systems development -Version control and software development collaboration tools Preferred Qualifications: Database Design and Development · Strong knowledge of database design, data models, schema creation, and optimization. · Expertise in relational, document-oriented and time series databases such as MySQL, PostgreSQL, Redis, Couchbase, Cassandra, MongoDB) · Experience with data migration, ETL processes, and database scaling for large datasets. API Development and Integration · Experience designing, building, and maintaining RESTful APIs or GraphQL services. · Strong understanding of API security, authentication (OAuth, JWT), and performance best practices. · Experience in integrating third-party APIs and services. · Proficiency in back-end languages (e.g., Python, Go, Node.js, Java) for building scalable services. UI/UX Development · Proficiency with front-end technologies such as HTML5, CSS3, JavaScript (ES6+), TypeScript, and modern JavaScript frameworks (e.g., React, Angular, Vue.js). · Experience with responsive design, cross-browser compatibility, and web accessibility. · Understanding of design principles and experience collaborating with UI/UX teams to implement intuitive user interfaces. · Familiarity with front-end state management (e.g., Redux, Vuex) and component-based architecture. Distributed Systems Development · Experience building and deploying distributed, scalable, and fault-tolerant systems. · Familiarity with microservices architecture, event-driven design, and message brokers (e.g., Kafka, RabbitMQ). · Understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). · Experience with load balancing, caching, and scaling strategies to ensure high availability and performance. Version Control and Collaboration Tools · Proficiency with Git and experience in collaborative workflows (e.g., GitFlow, Pull Requests). · Experience using issue tracking, CI/CD pipelines, and task management tools (e.g., JIRA, GitHub). Familiarly with LLM Application Stack · LLMs (GPT, Llama, Gemini) · Vector databases (Qdrant, ElasticSearch) · Embedding models (Hugging Face, MixedBread) · Orchestration tools (LlamaIndex, LangChain) Suggested Skills: · Full Stack Development · API Development · UI/UX Development · Database design and development LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $121,000 - $198,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. The Product Application Infrastructure (PAI) team's mission is to build reliable, efficient, and intuitive world class tools and infrastructure that amplify productivity of product engineers that create our suite of member facing frontend applications. The PAI-API team owns the company-wide frontend API architecture and libraries that power our core member facing experiences. We support hundreds of application engineers building the data models and APIs that our frontend clients use. These engineers make 3,000+ commits each quarter across massive codebases of over 2 million lines of code. The ideal candidate will be excited for the challenge to transform and think critically on many computer science disciplines including user and developer experience, user-centric applications, business logic, scaling performance, and 24x7 reliability. They will also play a critical role in helping their team build, maintain, monitor, and deploy our frontend API stack. Responsibilities: You will manage the performance and career development of a small team of engineers, and own significant parts of LinkedIn products that require design, architecture, and coding. You will participate with senior management in developing a long-term technology roadmap. You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship. You will work with peers across teams to support and leverage a shared technical stack. You will manage teams to scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, review code, and deliver with speediness and quality. You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. You will produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration. Basic Qualifications: BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience. 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training 5+ years of industry experience in software design, development, and large-scale software engineering Experience programming in object-oriented and/or functional programming languages (like Java/Python/C/C++/Scala/etc.) Preferred Qualifications: MS or PhD in Computer Science or related technical discipline 2+ years of hands-on software engineering/technical management and people management experience 7+ years industry experience in software design, development, and algorithm related solutions. 5+ years programming experience in languages such as Java, C/C++, C#, Python, Go, etc. Experience in the design, development, and operations of performant, highly available, scalable applications Knowledge of data modeling and querying principles Understanding of common performance patterns and anti-patterns in distributed systems Successful track record of managing small teams of engineers to deliver multiple projects on time and with quality Active involvement in the creation and execution of technical strategies and roadmaps Hire and retain world-class engineers by providing career growth, mentoring, and high impact projects, while taking intelligent risks to improve the way work is done Suggested Skills: Technical Leadership Communication Software Design Cross-organizational collaboration You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 - $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform,compute platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. Responsibilities - You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. - You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind. - You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance - You will effectively communicate with the team, partners and stakeholders. - You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team - You will work closely with the open-source community to participate and influence cutting edge open-source projects (e.g., Apache Iceberg) - You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale - You will diagnose technical problems, debug in production environments, and automate routine tasks Basic Qualifications - BA/BS Degree in Computer Science or related technical discipline, or related practical experience. - 4+ years of industry experience in software design, development, and algorithm related solutions. - 4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages - Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs Preferred Qualifications - BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience - Experience in architecting, building, and running large-scale distributed systems - Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice - Experience with open-source project management and governance Suggested Skills - Distributed systems - Backend Systems Infrastructure - Java/Golang/Rust/Python You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000 - $255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA. The Director of Site Health SRE is a key leadership role within LinkedIn's engineering organization. In this position, you will lead a team dedicated to ensuring the overall health of the site by swiftly responding to and mitigating member-facing incidents, while also facilitating clear communication with leadership across the company. You will also oversee the site's ability to handle traffic surges, whether from planned or unplanned events, and manage the development of the incident lifecycle management platform and related tools. The Director will drive efforts to enhance transparency, accountability, and continuous improvement across LinkedIn's technology stack, with a focus on scalability, reliability, and performance. Roles and Responsibilities: Define and own the roadmap for robust self-serve platforms to manage incident life cycle to triage and mitigate incidents quickly to minimize member impact. Lead incident response and post-incident reviews to identify root causes and implement preventive measures. Develop and maintain incident management processes and procedures to ensure timely resolution of issues and minimize impact on customers. Partner with stakeholders to drive reliability best practices including ensuring adherence to Service Level Objectives (SLOs), continuous improvement of SLOs and maintaining a culture of accountability. Define and own the roadmap of bringing observability to critical user journeys for LinkedIn's products to help capture and improve the experience of LinkedIn's members/customers. Develop and implement comprehensive metrics, tools, and dashboards to track operational performance, identify trends, and measure the effectiveness of engineering wide reliability Initiatives. Deliver key insights, executive level reporting across the cross-functional engineering teams to enable the right business decisions around improving quality and reliability of our services and products. Work with product and platform teams to ensure adequate capacity is provisioned to support current and future business needs of LinkedIn's site for sudden spikes in traffic and run periodic exercises to ensure that LinkedIn's services can survive likely failures of their dependencies. Build a reliability first culture across engineering to Influence and drive architecture and design decisions with Site Up as the #1 Priority. Develop and hire a high-performing team of SREs and Site Operations teams across multiple global locations. Basic Qualifications BA/BS degree in Computer Science or a related field 10+ years in Engineering leadership focused on dev/ops based roles leading teams of engineers of size 40+ 5+ years in experience with reliability engineering, operating systems at large scale 4+ years of building software to simplifying operations and reducing toil in managing large scale infrastructure Preferred Qualifications A background in hands-on development in programming/scripting languages such as Python, Go Java or Ruby. Experience attracting, retaining, and developing top engineering talent throughout the industry. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. The ability to balance business needs, a sense of urgency, conflicting constraints, and shipping high quality and pragmatic solutions in a fast-moving and quickly-growing company. Suggested Skills: -Site Reliability Engineering (SRE) -Leadership -Large scale infrastructure LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $203,000 to $333,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

pstrongspan class="TextRun SCXW31207188 BCX0" data-contrast="auto" lang="EN-US"span class="NormalTextRun SCXW31207188 BCX0"Conviva is the first and best place to understand and /spanspan class="NormalTextRun SCXW31207188 BCX0"optimize/spanspan class="NormalTextRun SCXW31207188 BCX0" digital customer experiences. Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry-capturing every aspect of customer experience and engagement across all devices and linking them to the performance of underlying services, in real-time and at a fraction of the cost of alternative solutions. Conviva computes quality of experience across all users and all devices, in real time. We combine user actions with app and system responses to give your technology, business, and operations teams AI-powered insights into any issues impacting user experience and engagement. Trusted by industry leaders like Disney, NBC, and the NFL, Conviva revolutionizes how businesses understand customer experience and engagement, maximizing satisfaction, conversion, and revenue. /span/span/strong/p p /p pspan style="font-size: 12pt;"span class="TextRun SCXW184310957 BCX0" data-contrast="auto" lang="EN-US"span class="NormalTextRun SCXW184310957 BCX0"We are looking for a strong Data Scientist with strong foundation in Machine Learning and Algorithms/strong to help drive our AI Initiatives and contribute to the development of our Real-Time Performance Analytics Platform.strong /strong This is a hands-on, technically deep role ideal for individuals with a background in Computer Science or Statistics and a passion for building scalable, intelligent systems. /span/span/span/p pspan style="font-size: 12pt;"span class="TextRun SCXW184310957 BCX0" data-contrast="auto" lang="EN-US"span class="NormalTextRun SCXW184310957 BCX0"You'll work on developing and deploying advanced ML 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data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="1"Develop innovative approaches for predictive modeling, anomaly detection, and automating alerting using time series and other complex datasets. /li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="1"Support AI initiatives, including designing AI-driven alerts and contributing to AI roadmaps. /li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="1"Work with time series data and other complex datasets to develop predictive and anomaly detection models. span 134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559**************59737":0,"335559738":0,"335559739":0,"335559**************59991":360}"="" data-ccp-props="{" /span/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="1"Develop proof-of-concept (POC) code and implement ML solutions that improve product capabilities. span 134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559**************59737":0,"335559738":0,"335559739":0,"335559**************59991":360}"="" data-ccp-props="{" /span/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="1"Process and analyze large-scale data usingspan data-contrast="auto" /spanspan data-contrast="auto"Ray/spanspan data-contrast="auto" /spanspan data-contrast="auto"and /spanspan data-contrast="auto"Spark./spanspan data-contrast="auto" /span/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="1"Collaborate with cross-functional teams, including engineering and product teams, to integrate models into production systems. span 134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559**************59737":0,"335559738":0,"335559739":0,"335559**************59991":360}"="" data-ccp-props="{" /span/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="1"Stay up to date with industry trends in AI, machine learning, and data science to bring innovative ideas to the team. span 134233117":false,"134233118":false,"201341983":0,"335551550":1,"335551620":1,"335559**************59737":0,"335559738":0,"335559739":0,"335559**************59991":360}"="" data-ccp-props="{" /span/li /ul p /p pstrongspan data-contrast="auto"Who You Are and What You've Done:/span/strongspan 134233117":false,"134233118":false,"335559**************59739":240}"="" data-ccp-props="{" /span/p ul li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"span data-contrast="auto"PhD in Computer Science, Statistics or a related technical field; or MS in Computer Science/Statistics with 3/spanspan data-contrast="auto"+ years of experience in applied ML or data science roles. /span/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"Strong foundation in machine learning, statistical modeling, and algorithms with experience in predictive modeling and data analysis. span 134233117":false,"134233118":false,"335559738":0,"335559739":0}"="" data-ccp-props="{" /span/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"Proficiency in coding and programming for data science applications (e.g., Python,span data-contrast="auto" /spanspan data-contrast="auto"Scala, or similar languages) /span/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"Ability to develop POC code and implement ML models into scalable solutions. span 134233117":false,"134233118":false,"335559738":0,"335559739":0}"="" data-ccp-props="{" /span/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"Thrive in fast-pace, ambiguous environments and effectively collaborate across teams. span 134233117":false,"134233118":false,"335559738":0,"335559739":0}"="" data-ccp-props="{" /span/li /ul pspan 134233117":false,"134233118":false,"335559738":0,"335559739":0}"="" data-ccp-props="{" /span/p pstrongspan data-contrast="auto"What Would Make You Stand Out (Bonus Points): /span/strongspan data-contrast="auto" /spanspan 134233117":false,"134233118":false,"335559738":0,"335559739":0}"="" data-ccp-props="{" /span/p ul li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="6" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"span data-contrast="auto"Experience with real-time data processing and analytics. /span/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="6" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"Familiarity with time series analysis and forecasting techniques. span 134233117":false,"134233118":false,"335559738":0,"335559739":0}"="" data-ccp-props="{" /span/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="6" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"Background in building AI-powered alerts, anomaly detection, or similar AI driven applications. span 134233117":false,"134233118":false,"335559738":0,"335559739":0}"="" data-ccp-props="{" /span/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="6" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"Familiarity with cloud-based ML deployment and MLOps best practices. span 134233117":false,"134233118":false,"335559738":0,"335559739":0}"="" data-ccp-props="{" /span/li /ul p /p pspan style="font-size: 10pt;"em The expected salary range for this full-time position is $160,000 - $200,000 + equity + benefits. Compensation is determined by numerous factors such as your qualifications, experience, relevant education or training, and work location./em/span/p p /p pstrongspan data-ogsb="rgb(248, 248, 248)" data-ogsc="rgb(29, 28, 29)"Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at /spana data-ogsc="" href="https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.conviva.com%2Famp;data=05%7C01%7Cjbuensuceso%40conviva.com%7C5c889bdfeeca4c2c9eeb08dbf11614c1%7C75766b278a5a442999ef7e601b358b73%7C1%7C0%7C**********66525933%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7Camp;sdata=P51AR%2Bp5HbZTXjQCRffQLQ6IwFJnbMmJiLddDt7A5JA%3Damp;reserved=0"span data-ogsb="rgb(248, 248, 248)"************************** data-ogsb="rgb(248, 248, 248)" data-ogsc="rgb(29, 28, 29)". Join us to help extend our leadership position in big data streaming analytics to new audiences and markets! /span/strong/p

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Team Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. Linkedin's Production Hardware Engineering and Capacity team is looking for an experienced capacity planning resource that will be part of a team to support the company's data center footprint globally. The role will require working with the Production, Infrastructure, and Business Engineering and Operations teams. Responsibilities: • Partner with internal Engineering customers to understand their long-term growth trajectories and create plans to meet their compute resource needs. • Perform data analysis for existing capacity headroom and build forecast demand pipeline. • Work with our Data Center Engineering and Infrastructure Business Operations partners to develop a new capacity take-down schedule. • Work with our Hardware Evaluation team to identify the impact of new technology on data center capacity. • Define metrics and create tools to scale capacity planning with LinkedIn's growth. • Track infrastructure capacity orders, delivery, and spare hardware pool sizes for all products within our data centers. • Perform Quarterly infrastructure capacity analysis and review with Service Engineers, Application Owners and Management. • Proactively identify data center capacity-related concerns and work with systems, network, and operations engineering teams to find resolutions. • Work with our Infrastructure Development team to build tools for automation of the capacity planning process that can be utilized for more effective hardware allocation. • Convert hardware forecast into cabinet configurations using power balancing and topology requirements to best utilize data center power and space capacity. • The position may require some travel Basic Qualifications: • BA/BS Degree in Computer Science, Engineering or related technical discipline, or equivalent practical experience • 5+ years of capacity planning, production planning or operations planning in large Data Center environments with at least 2+ years of experience in a leadership position • Experience with data center facilities operations, power infrastructure, cooling infrastructure, and physical space requirements. • Experience with building and managing models for business forecasting, variance analysis, and problem solving. Preferred Qualifications: • 10+ years of capacity planning, production planning or operations planning in large Data Center environments • Experience working with a trouble ticketing system (Jira or equivalent) • Advanced knowledge of data analytics and data modeling tools • Strong communication and presentation skills working with cross-functional teams • Strong operational understanding of BMS, CMDB, and DCIM tools Suggested Skills: • Data Center capacity planning • Data Center production planning • Data Center operations planning You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $149,000 - $247,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

pstrongspan class="TextRun SCXW31207188 BCX0" data-contrast="auto" lang="EN-US"span class="NormalTextRun SCXW31207188 BCX0"Conviva is the first and best place to understand and /spanspan class="NormalTextRun SCXW31207188 BCX0"optimize/spanspan class="NormalTextRun SCXW31207188 BCX0" digital customer experiences. Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry-capturing every aspect of customer experience and engagement across all devices and linking them to the performance of underlying services, in real-time and at a fraction of the cost of alternative solutions. Conviva computes quality of experience across all users and all devices, in real time. We combine user actions with app and system responses to give your technology, business, and operations teams AI-powered insights into any issues impacting user experience and engagement. Trusted by industry leaders like Disney, NBC, and the NFL, Conviva revolutionizes how businesses understand customer experience and engagement, maximizing satisfaction, conversion, and revenue. /span/span/strong/p p /p pspan data-contrast="auto"At Conviva, we're transforming the way companies understand and act on real-time performance and customer experience data. We're looking for a /spanstrongspan data-contrast="auto"Solutions Consultant/span/strongspan data-contrast="auto" who thrives at the intersection of data, technology, and storytelling. In this customer-facing role, you'll empower our clients-media and entertainment giants-to unlock deeper insights, make smarter decisions, and become evangelists for Conviva's platform./spanspan 134233117":false,"134233118":false,"335559**************59739":240}"="" data-ccp-props="{" /span/p pspan data-contrast="auto"You'll act as a trusted advisor to product managers, data scientists, and technical leaders-guiding them to real-time actionability, delivering training that builds product champions, and driving measurable outcomes across the digital experience lifecycle./spanspan 134233117":false,"134233118":false,"335559**************59739":240}"="" data-ccp-props="{" /span/p p /p pspan style="font-size: 12pt;"strong What Success Will Look Like:/strong/span/p ul li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"span data-contrast="auto"Drive customer outcomes that lead to successful renewals and expansions by aligning use case delivery with business goals and demonstrating ongoing value./span/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"Lead onboarding and discovery to understand customer goals, map use cases, and drive time-to-value./li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"Deliver engaging, narrative-driven presentations that connect Conviva's platform to customer impact./li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"Train and enable users across roles-from engineering to executive-to build lasting platform expertise and trust./li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"Collaborate with Product, and Engineering to close feedback loops and influence roadmaps./li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"Leverage product analytics, observability metrics, and customer data to surface insights that drive growth and retention./li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"Actively identify expansion opportunities by understanding product usage trends and customer pain points. /li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="2"Produce RCA reports, QBRs, and best practices documentation that reinforce Conviva's value proposition.span 134233117":false,"134233118":false,"335559**************59739":240}"="" data-ccp-props="{" /span/li /ul p /p pspan style="font-size: 12pt;"strong Who You Are amp; What You've Done:/strong/span/p ul li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="3"span data-contrast="auto"5+ years in a customer-facing, technical consulting, technical account management, customer success or solutions engineering role in a SaaS environment./span/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="3"Experience working with analytics platforms such as NPAW, MUX, strongspan data-contrast="auto"Amplitude, Mixpanel, Quantum Metric, Content Square or Adobe Analytics/span/strong/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="3"Strong communication and relationship-building skills-you know how to engage stakeholders at all levels./li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="3"Demonstrated success in helping customers turn data into action, ideally in a strongspan data-contrast="auto"product-led analytics /span/strongspan data-contrast="auto"or observability context./span/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="3"Passion for teaching, problem-solving, and continuous learning./li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="3"Approximately 20% travel required, based on business needs.span 134233117":false,"134233118":false,"335559**************59739":240}"="" data-ccp-props="{" /span/li /ul pspan style="font-size: 12pt;"strongspan data-contrast="auto"Bonus Points:/span/strongspan 134233117":false,"134233118":false,"335559**************59739":240}"="" data-ccp-props="{" /span/span/p ul li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="4"span data-contrast="auto"Background in media streaming, OTT, or video QoE platforms./span/li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="4"Experience with scripting (e.g., Python, JS) or integrating APIs./li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="4"Hands-on experience with statistical methods, SQL, or data visualization./li li 335552541":1,"335559**************59**************69226":"symbol","469769242":[8226],"469777803":"left","469777804":" ","469777815":"hybridmultilevel"}"="" data-aria-level="1" data-aria-posinset="1" data-font="Symbol" data-leveltext=" " data-list-defn-props="{" data-listid="4"Familiarity with A/B testing frameworks or digital optimization tools.span 134233117":false,"134233118":false,"335559**************59739":240}"="" data-ccp-props="{" /span/li /ul p /p pem The expected salary range for this full-time position in the SF Bay Area is $125,000- $165,000 + equity + benefits. Compensation is determined by numerous factors such as your qualifications, experience, relevant education, and work location. /em/p p /p pstrong Underpinning the Conviva platform is a rich history of innovation. More than 60 patents represent award-winning technologies and standards, including first-of-its kind-innovations like time-state analytics and AI-automated data modeling, that surfaces actionable insights. By understanding real-world human experiences and having the ability to act within seconds of observation, our customers can solve business-critical issues and focus on growing their business ahead of the competition. Examples of the brands Conviva has helped fuel streaming growth for include: DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision and Warner Bros Discovery. /strong/p pstrong Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at a href="****************************************** Join us to help extend our leadership position in big data streaming analytics to new audiences and markets! /strong/p

LinkedIn's vision is to create economic opportunities for every member of the global workforce. It was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are seeking an exceptional Director of Engineering to lead the Flagship Search organization at LinkedIn. This is a rare opportunity to drive the technical and organizational vision behind the next generation of search products, transforming how millions of professionals discover connections, knowledge, and opportunities. As the engineering leader for Search, you will oversee a team responsible for designing and implementing state-of-the-art search technology stack, building intuitive, personalized, and scalable search experiences. You will lead the integration of cutting-edge AI/ML techniques and large language models (LLMs) into our relevance, retrieval, and ranking systems. In addition to deep technical expertise, this role requires strong people leadership, operational excellence, and the ability to partner closely with Product, AI, Infrastructure, and other cross-functional leaders to deliver business impact at scale. Responsibilities Lead the Search Organization: Manage and grow a high-performing engineering team to execute on an ambitious product and technical roadmap. Set Technical Vision: Shape the future of LinkedIn Search by combining AI, LLMs, and systems innovation to deliver highly relevant and personalized member experiences. Architect for Scale: Guide the team in building scalable, high-availability infrastructure to handle billions of queries reliably and efficiently. Drive Product Strategy: Partner closely with product, design, and AI teams to align technical investments with member and business needs. Foster a High-Performance Culture: Champion engineering best practices, quality, operational rigor, and innovation across the team. Talent Development: Recruit, mentor, and grow top engineering talent, fostering an inclusive environment where individuals can do their best work. Cross-Functional Leadership: Influence and collaborate across multiple teams and stakeholders to drive complex, high-impact initiatives forward. Stay Ahead of Trends: Monitor emerging technologies and industry trends to ensure LinkedIn Search remains an industry leader. Basic Qualifications 10+ years of experience building AI-powered consumer products at scale, with at least 5 years in engineering leadership roles. Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields Proven experience leading and scaling engineering teams to deliver consumer-facing search products. Technical foundation in relevance algorithms, retrieval systems, personalization, and search infrastructure. Preferred Qualifications Hands-on experience integrating AI/ML and large language models into production search systems. Track record of influencing technical and product strategy at an organizational level. Deep understanding of building robust, scalable systems to handle high-velocity, large-scale data and query loads. Strong leadership and people development skills, with a passion for building inclusive, high-performing teams. Ability to thrive in ambiguous, high-stakes environments and drive clarity and execution across complex initiatives. Suggested Skills: * People Leadership * Search experience * AI/ML experience You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $218,000 to $357,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. 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