Workplace
On-site
Employment
Full-Time
Published
Jul 29, 2026
Closes
No date supplied
The role
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. ABOUT THE ROLE As a Staff Forward Deployed Engineer, you'll define and drive the technical strategy for how Handshake delivers engineered solutions to our most strategic customers, including leading AI labs. You'll operate as a trusted technical partner to both customers and internal leadership—owning the vision for how forward-deployed engineering scales as a function, while remaining deeply hands-on in solving our hardest deployment challenges. Your work will directly shape product direction, influence platform architecture, and set th
Requirements
Department: Engineering; Team: HAI Engineering