LinkedIn

LinkedIn

Principal Product Manager, AI Feed Relevance

Mountain View, CA, United States · Principal · Contract

Sponsorship not specified$185k-$299kDetected 115 days ago
AlgorithmsMachine LearningData ScienceLLMsA/B TestingProduct ManagementProduct StrategyPRDsResearch

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 88%

Of 120 labor certifications old enough to have been used, 15 expired without the employer filing the next step. Median time from filing to decision: 493 days.99% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

233 transfer filings in the last year, covering 1907 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • 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.

Responsibilities

  • 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.
  • 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.

Requirements

  • BS/BA Degree in a technology related field OR equivalent experience
  • 8+ years of experience in product management or equivalent role

Nice to have

  • 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

Skills

  • Join us to transform the way the world works.

Compensation

  • As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Benefits

  • Partner with AI platform and applications teams to scale model training, inference, and evaluation infrastructure that supports rapid iteration and continuous learning.

Company info

  • At LinkedIn, our mission is to connect the world's professionals to make them more productive and successful.
  • Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer.

Equal opportunity

  • 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.

Visa & Work Authorization

  • in, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class
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This listing is sourced directly from LinkedIn's careers page and normalized into a canonical job model.