2 months ago
Responsibilities
- Own the end-to-end product pipeline, including modeling customer demand and partnership opportunities and shaping the product roadmap.
- Work directly with AI researchers and organizational leaders to understand workflows, identify model capability gaps, and propose what to build next.
- Build reusable, robust technical infrastructure that precisely models entire organizational workflows as evaluation datasets and reinforcement learning environments.
- Manage the technical and relational sides of customer and partner lifecycles.
- Create tooling and systems that make each customer or partner onboarding process more repeatable and efficient.
- Advocate for customer and partner needs across the team and take ownership of outcomes.
Requirements
- Strong engineering foundation from a rigorous technical environment.
- Advanced proficiency in at least one modern programming language, such as Python or TypeScript, with experience writing and debugging production systems.
- Exceptional written and verbal communication skills, including the ability to work with senior researchers and non-technical executives.
- Track record of exceptional performance in academic, athletic, professional, or entrepreneurial pursuits.
- Comfort with ambiguity, intensity, and sustained effort when required.
- Willingness to travel.
Benefits
- In-person role in San Francisco.
- Competitive salary and meaningful equity.
- Free meals in the office.
- Healthcare benefits.
- 401(k).
- 15 days of paid time off per year.
- Relocation assistance.
- Opportunity to join a small, ambitious founding team.
Tech Stack
Categories
Forward Deployed
About Idler
Idler builds evaluation suites and on-demand, scalable reinforcement-learning environments used to measure and train AI models. Its platform helps AI labs and intelligent-systems teams generate custom tasks, automate environment infrastructure, and run reproducible evals. Privately held and founded in 2025 in San Francisco, it sells access to its SaaS platform and environments to research groups and companies building frontier models.