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Forward Deployed Engineer

Idler· Engineering
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Hybrid (San Francisco)Full-timePosted 1mo ago

About the role

Forward Deployed Engineers are customer/partner-facing technical experts who own the end-to-end system turning partners’ real work into evals & RL environments. Role involves collaborating with researchers, managing partnerships, building robust tooling and infrastructure, and shaping the product roadmap.

Responsibilities

  • Own the end to end product pipeline — maintain a clear, complete model of customer demand and partnership opportunities, and directly shape the product roadmap.
  • Manage both the technical AND relational sides of the customer and partner lifecycles — build tooling to manage relationships and advocate for customers’ and partners’ needs.
  • Build systems rather than one-off solutions — onboardings should be easier over time through reusable tooling.

Qualifications

  • Strong engineering foundation from a rigorous technical environment.
  • Advanced in at least one modern programming language (Python, TypeScript, or similar), with experience writing and debugging production systems.
  • Extraordinary literacy, as evidenced by written and verbal communication; able to engage with senior researchers and non-technical executives.
  • Track record of exceptional performance in academics, athletics, professional work, or entrepreneurship.
  • High tolerance for ambiguity, intensity, and sustained effort when needed.
  • Willingness to travel.

Skills

Required:Programming (Python, TypeScript, or similar)CommunicationSystem design / infrastructureRelationship management

Benefits

  • Competitive salary + meaningful equity
  • Healthcare
  • 401(k)
  • 15 days of PTO per year
  • Relocation assistance
  • Free meals in office
Last updated Oct 14, 2026. Interested? Apply on the company site.
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About Idler

Scale AI for reinforcement learning environments.

Idler builds reinforcement learning environments that teach AI models to code at expert human levels. We create training environments based on real-world coding scenarios that prepare models for the complex challenges they'll face in production.

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