Research Product Manager (RPM)
About The Position
Our client is a Y Combinator-backed AI research company building simulation environments and synthetic-data pipelines for reinforcement learning and next-generation model training. The company works with leading AI labs, frontier startups, and Fortune 500 enterprises and has raised $5M. This Research Product Manager is a research-first product role focused on the model itself, not a traditional application backlog. You will work with researchers at frontier AI labs to identify capability gaps, design evaluations and training-data programs, run experiments, and manage delivery from research scoping through weekly data releases.
Requirements
- 0 to 5 years of experience in AI/ML research, technical product management, research engineering, or another deeply technical role.
- Fluency in LLM evaluations, benchmarks, coding agents, and modern model-development workflows.
- Strong Python skills and comfort with data, experiments, and technical tooling.
- Demonstrated ability to ship technical projects end to end.
- Research-minded judgment, curiosity, and comfort with open-ended questions.
- Excellent communication and project leadership across technical and non-technical collaborators.
- High ownership, urgency, and comfort working in an early-stage environment.
- Ability to work five days per week on-site in San Francisco.
Responsibilities
- Co-design model capabilities by identifying gaps and running headroom analyses.
- Run experiments and benchmarks using simulation infrastructure and evaluation tooling.
- Translate ambiguous partner requests into research questions, project plans, and aggressive milestones.
- Design data-curation programs using domain experts and synthetic-data generation.
- Conduct literature reviews and implement state-of-the-art research in practical evaluation frameworks.
- Own one-to-three-month projects from scoping through weekly delivery, feedback, and iteration.
- Bridge research and operations across researchers, customers, and external contributors.
Benefits
- Sizable performance bonus tied to project and company milestones.
- Meaningful early-stage equity.
- Health, dental, and vision coverage.
- Flexible paid time off.
- Direct access to frontier AI researchers and substantial ownership over model-development programs.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
