Senior AI Engineering Manager, Hirer AI; Agentic AI

Company Description

Linked In 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:

This Senior AI Engineering Manger will lead two high-impact and high visibility teams in Enterprise AI, our Hirer AI and Learning AI teams. These teams both had significant impact on key customer-facing products, collaboration across many areas including our Foundational AI / Core AI teams, and alignment to one of our top engineering initiatives for 2026 with a key agentic product.

Enterprise AI works on a wide range of technical solutions including LLM fine-tuning, content generation, LLM-as-a-judge, prompt engineering, embedding-based retrieval, and search/ranking.

This leader will have one Manager and multiple Technical Leads reporting to them, with total scope of 20+ engineers. The work will include a mix of people leadership, technical strategy, enterprise-level collaboration, and strategic decision making.

It is a newly-created role due to the growth of this team, and we are looking to hire a proven leader who has prior experience with Agentic AI solutions.

Location:

At Linked In, 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 Linked In 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 part of the Enterprise AI team, you will engage with highly experienced and passionate AI Engineers and a brilliant cross functional team, all laser-focused on creating the best platform to connect all individuals in the global workplace to all the global opportunities! In this setup, there is immense opportunity to create impact to millions of Linked In users in connecting with the best possible opportunities.

• 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 Linked In’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 Linked In’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:

• 3+ years of management experience, leading team(s) of direct reports.
• 7+ years of relevant professional experience in AI/ML Engineering and/or leadership of AI/ML Engineering teams.
• Bachelors in Computer Science or other technical discipline, or related practical technical experience

Preferred Qualifications

• At least four years of prior experience leading high-performance AI Engineering teams,…