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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.

Team Overview:

Creating economic opportunity for every member of the global workforce is LinkedIn’s core mission. At Talent Marketplace Matching team, we tackle foundational challenges that enable LinkedIn’s Talent Solutions ecosystem to fully harness the power of our rich and diverse talent data.

We build and evolve LLM and matching systems that enhance LinkedIn’s understanding of members, jobs, and skills to improve relevance quality across job products. The team works closely with partner orgs to advance semantic retrieval, generative AI and efficient foundation model adaptation, ensuring that LinkedIn’s talent data is leveraged effectively and responsibly to drive long-term business growth.

This is a high-visibility team building AI solutions that directly impact millions of members.

Location:

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.

This role will be based in Sunnyvale, CA.

Key Responsibilities:

As a senior AI Manager, you will lead a team of applied scientists and engineers to design and deliver scalable LLM and matching solutions that improve the relevance and quality of LinkedIn’s Talent Marketplace. You’ll combine people leadership, technical vision, and cross-functional collaboration to maximize team impact.

+ **Build and grow talent:** Attract, mentor, and develop a diverse and high-performing team of applied scientists and engineers. Foster an inclusive culture where people feel empowered to share ideas, take intelligent risks, and grow into technical leaders.

+ **Define clear direction:** Translate product and business needs into a focused technical roadmap. Connect daily team work to LinkedIn’s broader mission and long-term strategic priorities.

+ **Advance LLM and matching systems:** Guide the team in developing and improving hybrid retrieval systems, and domain-tuned LLM applications. Leverage LinkedIn’s unique data to ground model outputs, enhance job matching relevance, and improve end-to-end quality.

+ **Ensure scalability and efficiency:** Partner with infra and platform teams to optimize retrieval and serving efficiency, including embedding optimization, adaptive caching, and parameter-efficient fine-tuning.

+ **Promote alignment and collaboration:** Work across teams to identify shared opportunities, align on long-term goals, and drive consistent progress. Proactively address misalignments with clarity and empathy.

+ **Foster innovation and inclusion:** Create an environment that values curiosity, diverse perspectives, and open dialogue. Encourage the team to challenge assumptions, experiment responsibly, and continuously raise the technical bar.

Basic Qualifications:

+ 7+ years of relevant professional experience.

+ 3+ years of management experience.

+ Bachelors in Computer Science or other technical discipline, or related practical technical experience

Preferred Qualifications:

+ 10+ years of relevant work experience.

+ Prior experience leading teams of 10-20 individuals, including multiple Tech Leads.

+ PhD in Computer Science, Machine Learning, Statistics or related fields

+ Experience leading teams in machine learning, NLP, or retrieval systems.

+ Strong technical background in LLMs, retrieval architectures, and relevance optimization.

+ Familiarity with semantic search, vector databases, or efficient model adaptation.

+ Proven ability to connect technical strategy to business goals and communicate across disciplines.

+ Passion for developing talent and building highly collaborative teams.

Suggested Skills:

+ Team Management

+ AI System Design (Recommendation, Relevance, and Retrieval)

+ Technical Leadership

You will Benefit from our Culture:

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

Compensation: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $198,000 - $326,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.

Equal Opportunity Statement

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 at [email protected] 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. Examples of reasonable accommodations include but are not limited to:

+ Documents in alternate formats or read aloud to you

+ Having interviews in an accessible location

+ Being accompanied by a service dog

+ Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

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. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance ​

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement ​

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates ​

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.