Senior Product Manager, RL Environments — Handshake AI

About Handshake
Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.

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

Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions

Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others

Build a massive, fast-growing business with billions in revenue

About the Role
Handshake AI builds the training data that frontier labs use to push their models forward. A growing share of that work is in reinforcement learning: realistic, end-to-end environments where models can be evaluated and trained against real-world workflows. We’re hiring a Senior Product Manager to own the product surface that turns environment creation from a bespoke, weeks-long lift into a repeatable factory.

Today, building a single RL environment is a substantial cross-team effort involving dozens of manual steps across operators and engineers, and depends on tribal knowledge across data sourcing, de-identification, synthetic data generation, tool building, packaging, and quality assurance. Frontier labs are asking for environments across many verticals at once, and the manual model doesn’t scale. Your job is to make it scale: design and ship the platform that compresses lead time, replaces hand-built workflows with self-serve tooling, and lets a small team of operators turn out high-quality environments for any vertical our customers prioritize.

You’ll sit at the bridge between Operations and Engineering. Operators are running data pipelines locally, manually de-identifying datasets, manually QA’ing tools, and chasing customer deliveries. You’ll translate that work into a product roadmap, partner with our engineering leads on architecture and execution, and keep our research, GTM, and customer-facing teams aligned on what good looks like.

This is a high-leverage, 0→1 role inside a fast-moving research-adjacent product space. You’ll work cross-functionally with Forward Deployed Engineering, Operations, Research, Design, and GTM, and your work will directly determine how many environments Handshake can ship, how fast, and at what quality bar.

What you’ll own

The Environment Factory. The end-to-end product experience for building and shipping an RL environment. Today this is a manual playbook; you’ll define and ship the platform that lets operators run many environments in parallel, with most steps in-product rather than off-platform.

Tooling, packaging, and delivery. Drive the roadmap for the tool registry, environment packaging, and customer delivery so labs receive a portable, deployable environment that runs reliably in their own infrastructure. Reduce time-to-deliver and the rate of last-minute rework on the day of delivery.

Quality at the frontier-lab bar. Own the leveling framework for environment quality (currently L1–L5 by vertical and persona) and the roadmap that gets priority verticals from L1 to L4+. Define and ship the QA tooling that turns environment, task, and rollout QA from a manual review into a productized check.

Operator tooling. Operators are your primary users. Build the dashboards, in-product workflows, and self-serve flows that replace the manual work they do today from data transformation to environment QA to delivery cutoffs.

Goals and metrics. Define and track targets including: environment lead time, environments delivered per quarter, % of in-platform vs. off-platform steps in environment creation, e…