LinkedIn is seeking an AI Engineering Manager to lead their Enterprise AI team, responsible for $7B+ LOBs across Hirer, Learning, and Enterprise Jobs verticals. This is a pivotal role at the world's largest professional network, where you'll drive innovation in AI-powered recruiting and learning solutions.
The position offers an exciting opportunity to work on cutting-edge projects including GenAI powered tools, AI-assisted search, and automated inMails. You'll be leading LinkedIn's #1 priority project - the Hiring Assistant, which aims to revolutionize recruiting workflows. The role involves working with state-of-the-art technologies, including collaboration with OpenAI, and developing advanced search and recommendation models.
As a manager, you'll lead a team of 6-10 exceptional AI Engineers, working closely with cross-functional teams to drive innovation in talent matching, learning recommendations, and job connections. The role combines technical leadership with people management, requiring both deep AI expertise and strong leadership skills.
The position offers competitive compensation ($164,000-$268,000) and comprehensive benefits, including equity, health coverage, and performance bonuses. Based in Sunnyvale, CA, this hybrid role allows for flexible work arrangements while maintaining strong team collaboration.
Key responsibilities include defining AI engineering best practices, participating in technical discussions, and mentoring team members. You'll be at the forefront of applying AI to solve real-world problems in professional networking, learning, and career development.
The ideal candidate brings 5+ years of ML experience, management experience or Staff-level AI engineering background, and a strong technical foundation. This role offers the opportunity to make a significant impact on how millions of professionals connect with opportunities and develop their careers.
Join LinkedIn to shape the future of professional networking and career development through AI innovation. You'll work with cutting-edge technology while leading a talented team in a collaborative, impact-driven environment.