Senior Engineering Manager, Reinforcement Learning Environments (RLE)
ABOUT HANDSHAKE
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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
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- Build a massive, fast-growing business with billions in revenue
About the Role
We’re hiring a Senior Engineering Manager to lead our Reinforcement Learning Environments (RLE) team - the group building the interactive sandboxes where frontier models learn to complete real work.
RLE environments simulate end-to-end workflows across domains like software engineering, finance, and legal research, with realistic tools, constraints, and feedback loops. The platform generates high-signal interaction data researchers use to train and evaluate models for task completion, quality, and robustness.
This is a high-leverage role: the systems you lead directly shape what models can learn, how quickly new domains can launch, and how much researchers trust the signal. You’ll lead a team of ~9 engineers today and are expected to add leadership capacity (including managing an EM) as we scale.
Location: San Francisco, CA. This is an in-office role, 5 days/week (no remote/hybrid)
WHAT YOU’LL DO
- Lead, hire, and develop a high-performing team building RL environments and the platform behind them
- Own the RLE roadmap and execution in close partnership...