Senior Product Marketing Manager, Handshake AI

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. Now, we are bringing the same capabilities to grow the Enterprise business.

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.

We're now bringing that same rigor to the enterprise. Handshake AI moves enterprise agents from pilot to production, in a repeatable way, through quality infrastructure such as evals and rubrics, simulations, safety and security testing, and model optimization that encodes an organization's own expertise into durable, sovereign IP the customer owns, at the optimal cost. We work with Fortune 500 leaders to close the gap between AI pilots and production-grade deployment.

You'll be the end-to-end product marketing owner for Handshake AI's frontier lab business, the connective tissue between research, product, sales, and the market. You'll translate deep technical work into positioning that lands with researchers and lab leadership, then arm sales with everything they need to close and grow those relationships. This is a build-from-scratch seat: you'll set the GTM playbook for a business growing faster than almost anything in AI.

• Experience in the human data or AI training data field

• Background partnering directly with researchers, scientists, or other technical stakeholders

• Experience marketing to enterprise B2B buyers — ideally in AI/ML infrastructure, data, or a related technical category, with exposure to Fortune 500 sales cycles