Principal Product Manager, Feed Relevance

This role will be based in Mountain View / 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.

At LinkedIn our mission is to connect the worlds professionals to make them more productive and successful. The Feed team sits at the heart of that mission helping members discover ideas connect with voices and find opportunity. As a Principal Product Manager on the Feed Relevance team youll shape how cutting-edge machine learning and foundation models connect hundreds of millions of professionals to what matters most helping define the future of relevance trust and engagement on LinkedIn.

Were looking for a Principal Product Manager to lead the next generation of AI-driven ranking and recommendation systems that power the LinkedIn Feed. This is a senior individual contributor role for a proven product leader who can define bold strategy influence across disciplines and deliver at massive scale.

In this role youll shape how we apply machine learning and foundation models to improve relevance member value and ecosystem health. Youll partner deeply with AI Research Engineering Data Science and Infrastructure teams to build end-to-end ranking systems from problem framing and feature strategy to model evaluation and member experience optimization.

Youll 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.

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.
• Translate member experience goals and business outcomes into clear model objectives and success metrics ensuring alignment between algorithmic decisions and product strategy.
• Drive the prioritization definition and delivery of new features model improvements and system capabilities that advance LinkedIns Feed ranking quality and personalization.
• Lead cross-functional product development from requirements and design (PRDs policy alignment evaluation frameworks) through to experimentation and launch.
• Partner with AI platform and applications teams to scale model training inference and evaluation infrastructure that supports rapid iteration and continuous learning.
• Use data and experimentation to guide decision-making defining hypotheses running A/B tests and synthesizing insights to inform model and product improvements.
• Stay ahead of the competitive landscape in AI-driven relevance and personalization identifying opportunities to differentiate LinkedIns Feed experience.
• Communicate strategy priorities and outcomes clearly to executive stakeholders and cross-functional partners shaping how LinkedIns Feed evolves to deliver trusted high-value engagement.

Qualifications :

Basic Qualifications

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

Preferred Qualifications

• 10 years of experience in product management
• Understanding of machine learning ranking algorithms and recommender systems with experience applying them to large-scale Feed or content relevance products.
• Experience in delivering complex ML-driven systems end-to-end from problem definition and data strategy to model deployment evaluation and iteration.
• Ability to translate model and system performance into clear member value business impact and ecosystem health outcomes.
• 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.
• Prior experience building or evolving Feed Search or Discovery systems that drive trust relevance and meaningful member engagement.

 Suggested Skills

• Applied AI/ML
• Feed Ranking & Relevance
• Recommender Systems
• Generative AI

LinkedIn is committed to fair and equitable compensation practices.   

The pay range for this role is $185000 to $299000.  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 Information :

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No

Employment Type :

Full-time