Principal Product Manager - AI Content Understanding & Feed Relevance

This role will be based in Mountain View or San Francisco. As a Principal Product Manager on the Feed Relevance team, you will shape how cutting-edge machine learning and foundation models connect hundreds of millions of professionals to what matters most. 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. The role focuses on AI-powered content understanding and quality systems that shape the LinkedIn Feed, and partners with AI Research, Engineering, Data Science, and Trust & Safety teams.

Responsibilities

Define and execute the AI product strategy for content understanding and quality across LinkedIn Feed; Lead the development of large-scale ML and foundation model-powered systems that understand content topics, intent, quality, credibility, and professional value; Drive the evolution of content quality and recommendation policies that amplify valuable, authentic content while reducing low-quality, misleading, or harmful content; Translate member experience goals and business outcomes into clear model objectives, evaluation frameworks, and success metrics; Partner with Applied Research and Infrastructure Engineering to advance scalable content understanding capabilities; 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 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; Stay ahead of advances in AI, content understanding, and recommendation systems; Communicate product strategy, priorities, tradeoffs, and outcomes clearly to executive stakeholders and cross-functional partners

Requirements

BS/BA degree in a technology-related field or equivalent practical experience; 8+ years of experience in product management or an equivalent role

Nice to have

MS degree in Computer Science, Machine Learning, or a related technical field; 10+ years of experience in product management, including experience leading complex AI/ML-driven products at scale; Deep understanding of machine learning, ranking algorithms, and recommender systems; Experience developing or leveraging content understanding systems, including content classification, semantic understanding, embeddings, LLMs, multimodal models, or content quality assessment; Proven track record of delivering complex ML-driven systems end-to-end; Experience translating content quality, trust, and safety objectives into scalable product policies; Strong understanding of the tradeoffs between relevance, engagement, content quality, creator incentives, and long-term ecosystem health; Demonstrated ability to define and execute AI product strategy in close partnership with Applied Research, Engineering, Data Science, and Infrastructure teams; Experience working with large-scale AI systems, including model evaluation, human labeling, training data quality, and inference efficiency; Strong expertise in experimentation, A/B testing, causal inference, and multi-objective optimization within ranking or recommendation systems; Exceptional communication and cross-functional leadership skills; Passion for building AI-powered experiences that help members discover trustworthy, relevant, and professionally valuable content

Benefits

Annual performance bonus, stock, benefits and/or other applicable incentive compensation plans