Principal Product Manager, Search at LinkedIn NY

Linked In is seeking a Principal Product Manager, Search to join its team in New York, NY. This full-time role offers the chance to shape AI-powered search at a scale that impacts hundreds of millions of members globally. As the platform navigates the biggest transformation of work in our lifetime, this position sits at the intersection of artificial intelligence innovation and economic opportunity creation — connecting every professional to the right people, knowledge, and opportunities.

The successful candidate will own the end-to-end AI ranking for people and company search, helping members quickly find the professionals and organizations most relevant to their goals. This is a true AI Product Manager role: you will treat evaluations as the product itself, develop a deep understanding of model behavior and failure modes, and make thoughtful trade-offs across relevance, latency, inference cost, and member value.

The work location is hybrid, performed both from home and from a Linked In office on select days, as determined by the business needs of the team. The role may also be based in San Francisco or Mountain View.

• Own the end-to-end ranking for people and company search, from understanding member intent and retrieving candidates to ranking relevant, high-quality, and trusted results.
• Define and execute the ranking strategy across query and content understanding, lexical and embedding-based retrieval, and multi-stage ranking; advance next-generation search using multimodal LLMs, model distillation and fine-tuning, and state-of-the-art embeddings.
• Develop a deep understanding of model behavior and failure modes while balancing relevance, latency, inference cost, and member value; evaluate experiments, make launch decisions, monitor ranking and search health, and triage member feedback.
• Collaborate across Linked In's consumer and customer businesses, align leadership around priorities, and communicate strategy, progress, and key decisions.
• Build in a full-stack, AI-native way: write evals and golden sets instead of multi-page PRDs, embrace probabilistic thinking, and prototype at the speed of prompting rather than waiting for full engineering cycles.

Basic Qualifications:

• BS/BA degree in a technology-related field or equivalent experience.
• 7+ years of experience in product management or an equivalent role.

Preferred Qualifications:

• 8+ years of experience in product management or an equivalent role.
• 5+ years of experience building industry-leading, large-scale search products.
• Demonstrated experience in AI intuition, evals, technical fluency, data fluency, failure analysis, prototyping, product judgment, systems thinking, economics, and iteration velocity.

Suggested

Skills:

Applied AI Fluency, Responsible AI Implementation, Large-scale Data Analysis, and Technical Storytelling.

Linked In is committed to fair and equitable compensation practices. The pay range for this role is $187,000 to $305,000. Actual compensation packages are based on several factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The total compensation package may also include an annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans.

• Showcase your AI-native building approach: Rather than relying solely on polished PRDs, highlight instances where you wrote evals, constructed golden sets, or prototyped using prompting techniques to validate product hypotheses before committing engineering resources.
• Demonstrate systems thinking with quantitative rigor: Pr…