Principal Product Manager, AI Feed Relevance

Mountain View, CA, United States · Principal · Contract

Sponsorship not specified$185k-$299kDetected 28 days ago

AlgorithmsMachine LearningData ScienceLLMsA/B TestingProduct ManagementProduct StrategyPRDsResearch

About the role

Join us to transform the way the world works.
This role will be based in Mountain View / San Francisco, CA, Bellevue, WA, 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.

Partner with PMs, Applied Research, Data Science, and Infrastructure Engineering to define and execute a comprehensive AI roadmap for Feed Relevance, balancing innovation with measurable member impact.
Drive the prioritization, definition, and delivery of new features, model improvements, and system capabilities that advance LinkedIn's Feed ranking quality and personalization.
Lead cross-functional product development, from requirements and design (PRDs, policy alignment, evaluation frameworks) through to experimentation and launch.
Communicate strategy, priorities, and outcomes clearly to executive stakeholders and cross-functional partners, shaping how LinkedIn's Feed evolves to deliver trusted, high-value engagement.
Documents in alternate formats or read aloud to you
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.
We're looking for a Principal Product Manager to lead the next generation of AI-driven ranking and recommendation systems that power the LinkedIn Feed.

10+ years of experience in product management
Experience in delivering complex ML-driven systems end-to-end, from problem definition and data strategy to model deployment, evaluation, and iteration.
Demonstrated success defining and executing AI product strategy in partnership with Applied Research, Engineering, and Data Science teams.
Experience collaborating with AI platform and infrastructure teams to scale experimentation, feature development, and model training capabilities.
Strong expertise in A/B testing, causal inference, and multi-objective optimization within ranking or recommendation contexts.
Ability to communicate and simplify complex ML concepts and influence at the executive and cross-functional level.
Suggested Skills
Feed Ranking & Relevance

Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

In this role, you'll shape how we apply machine learning and foundation models to improve relevance, member value, and ecosystem health.
You'll operate at the intersection of AI innovation and product impact, helping to set the vision for how members engage with content, conversations, and creators on LinkedIn.
Partner with AI platform and applications teams to scale model training, inference, and evaluation infrastructure that supports rapid iteration and continuous learning.

At LinkedIn, our mission is to connect the world's professionals to make them more productive and successful.

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.

in, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class

This listing is sourced directly from LinkedIn's careers page and normalized into a canonical job model.