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About the Role

This role 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 role is absolutely critical to LinkedIn’s business and is essential in helping our members achieve their goals.

Responsibilities

• 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, state-of-the-art embeddings, etc.
• Develop a deep understanding of model behavior and failure modes while balancing relevance, latency, inference cost, and member value, evaluate experiments and make launch decisions, monitor ranking and search health, triage member feedback.
• Collaborate across LinkedIn’s consumer and customer businesses, align leadership around priorities, communicate strategy, progress, and key decisions.
• Build in a full-stack, AI-native builder way: write evals & golden sets instead of multi-page PRDs, embrace probabilistic thinking (reasoning in distributions, error rates, confidence levels), prototype at the speed of prompting rather than waiting for full engineering cycles.

Requirements

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

Skills

• Applied AI Fluency
• Responsible AI Implementation
• Large-scale Data Analysis
• Technical Storytelling

Location

• New York
• San Francisco
• Mountain View

Work Type

• Hybrid

Experience Level

• 7+ years of experience in product management or equivalent role
• 8+ years of experience in product management or equivalent role

Education Level

• BS/BA Degree in a technology related field OR equivalent experience

Salary/Compensations

• $187,000 to $305,000

Benefits

• Annual performance bonus
• Stock
• Benefits

About the Company

• LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce.
• Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day.
• We're also committed to providing transformational opportunities for our own employees by investing in their growth.
• We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.
• Join us to transform the way the world works.

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.
• If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.
• Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process.
• LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
• Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
• As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.