Handshake

Handshake

Senior Product Manager, RL Environments — Handshake AI

San Francisco, CA · Senior · Contract

Sponsorship not specifiedDetected 63 days ago
Machine LearningData EngineeringProduct ManagementProduct StrategyResearchLeadership

About the role

  • 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.
  • Frontier labs are asking for environments across many verticals at once, and the manual model doesn't scale.
  • You'll sit at the bridge between Operations and Engineering.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • The end-to-end product experience for building and shipping an RL environment.
  • 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+.
  • 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.

Requirements

  • Familiarity with data pipelines, de-identification, synthetic data generation, or large-scale data QA.

Nice to have

  • 5+ years as a product manager shipping production code with engineering teams, ideally on platform, infrastructure, or developer-tools products.

Skills

  • Operators are running data pipelines locally, manually de-identifying datasets, manually QA'ing tools, and chasing customer deliveries.
  • Experience as a PM on developer tools or developer platforms, where the bar for power-user UX is high.

Compensation

  • 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching

Benefits

  • Handshake delivers benefits that help you feel supported and thrive at work and in life.
  • The below benefits are for full-time US employees.
  • 🎯 Ownership: Equity in a fast-growing company
  • 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching
  • 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching
  • 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
  • 📚 Growth: $2,000 learning stipend, ongoing development
  • 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days
  • Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers http://joinhandshake.com/careers.
  • Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions
  • Build a massive, fast-growing business with billions in revenue
  • Background in reinforcement learning, frontier model training data, evaluations, or model post-training workflows.
  • 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office

Company info

  • Team outings & referral bonuses
  • Experience at a marketplace, gig platform, or human-data company; or exposure to AI/ML data pipelines or annotation workflows.
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This listing is sourced directly from Handshake's careers page and normalized into a canonical job model.