Principal Product Manager - AI Content Understanding & Feed Relevance

This role will be based in Mountain View 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.

At LinkedIn, our mission is to connect the world’s professionals to make them more productive and successful. The Feed team sits at the heart of that mission, helping members discover ideas, connect, and find opportunity. As a Principal Product Manager on the Feed Relevance team, you’ll 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.

We’re looking for a Principal Product Manager to lead the next generation of AI-powered content understanding and quality systems that shape 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, you’ll shape how we leverage machine learning, large language models, and foundation models to understand the content shared on LinkedIn and translate that understanding into more relevant, valuable, and trustworthy recommendations. You’ll drive systems that identify high-quality content, surface meaningful professional insights, and reduce the distribution of low-quality or harmful content, balancing member value, engagement, and long-term ecosystem health.

You’ll partner deeply with AI Research, Engineering, Data Science, and Trust & Safety teams to develop and scale content understanding capabilities that power Feed ranking and recommendations. Beyond content understanding, you’ll have opportunities to influence the broader evolution of LinkedIn’s recommendation systems and deliver meaningful improvements to how millions of members discover content, conversations, and professional perspectives.

Responsibilities:

• Define and execute the AI product strategy for content understanding and quality across LinkedIn Feed, partnering with PMs, Applied Research, Engineering, Data Science, and Trust & Safety to deliver measurable improvements in relevance, member value, and ecosystem health.
• Lead the development of large-scale ML and foundation model-powered systems that understand content topics, intent, quality, credibility, and professional value, translating these insights into actionable signals for ranking and recommendation systems.
• Drive the evolution of content quality and recommendation policies that amplify valuable, authentic content while reducing low-quality, misleading, or harmful content, balancing short-term engagement with long-term member trust and ecosystem health.
• Translate member experience goals and business outcomes into clear model objectives, evaluation frameworks, and success metrics, ensuring alignment between AI capabilities, recommendation quality, and product strategy.
• Partner with Applied Research and Infrastructure Engineering to advance scalable content understanding capabilities, including LLM-based classification, content representations, model evaluation, and efficient inference at LinkedIn scale.
• Lead cross-functional product development, from problem definition and requirements through experimentation, policy alignment, model deployment, and launch.
• Use data, experimentation, and qualitative insights to identify opportunities, evaluate model and policy performance, and continuously improve content quality and Feed relevance.
• Collaborate with Feed ranking and personalization teams to integrate content understanding signals into end-to-end recommendation systems, influencing how content is retrieved, ranked, and distributed to members.
• Stay ahead of advances in AI, content understanding, and recommendation systems, identifying opportunities to leverage emerging technologies to differentiate LinkedIn’s Feed experience.
• Communicate product strategy, priorities, tradeoffs, and outcomes clearly to executive stakeholders and cross-functional partners, influencing the broader direction of LinkedIn’s AI-powered recommendations.

Department: Product
Function: Product Management
Experience Level: Mid-Senior Level