Handshake Post Jobs (NOW HIRING)

Job Summary:
Handshake is the career network for the AI economy, and they are seeking a Senior Product Manager to own the product surface for building and shipping reinforcement learning environments. This role involves designing a platform to streamline the environment creation process, working closely with cross-functional teams to enhance efficiency and quality in product delivery.
Responsibilities:
• 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, environment quality level by vertical, QA pass rate on environments/tasks/rollouts, tool registry coverage, and operator time per environment.
• Cross-functional partnership. Work with Engineering on architecture and execution, with Operations on workflow and pain points, with Research on what environments need to support post-training and verifier work, with Design on operator UX, and with GTM and customer teams on what verticals to prioritize and how to package what we build.
Qualifications:
Required:
• 5+ years as a product manager shipping production code with engineering teams, ideally on platform, infrastructure, or developer-tools products.
• A track record building tools for internal users (operations, forward deployed engineers, data teams, or similar) where reducing manual work and supporting power users is the core of the job.
• Comfortable owning a product surface with many moving parts and dependencies (data pipelines, environment runtimes, tooling, QA, packaging) and sequencing roadmap work to unblock the biggest bottleneck next.
• Strong product instincts in ambiguous, fast-iterating spaces. You can scope a problem from a Slack thread to a PRD to a shipped feature in hours, not days, and you don’t wait for a rigid spec before moving.
• Data-informed and action-oriented. You use lead time, throughput, quality scores, and operator pain to prioritize, and you move quickly once the signal is clear.
• Comfortable acting as the connective tissue between Operations and Engineering, translating ops pain into engineering work, and engineering tradeoffs back into ops-readable plans.
Preferred:
• Background in reinforcement learning, frontier model training data, evaluations, or model post-training workflows.
• Experience as a PM on developer tools or developer platforms, where the bar for power-user UX is high.
• Familiarity with data pipelines, de-identification, synthetic data generation, or large-scale data QA.
• 0→1 experience standing up new product surfaces inside a fast-moving research-adjacent org without a fully formed playbook.
• Experience at a marketplace, gig platform, or human-data company; or exposure to AI/ML data pipelines or annotation workflows.
Company:
Handshake is a college career network that helps students and recent graduates find their next opportunity. Founded in 2014, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.