Research Product Manager (RPM)

What we're looking for: We need someone with 0-5 years of experience in AI/ML research or technical product management who is deeply technical, research-minded, and comfortable navigating ambiguity at a fast-paced early-stage startup. You should be fluent in LLM evaluations, benchmarks, and coding agents, with a track record of shipping technical projects end-to-end. Bonus points if you have founder experience or have worked at AI data companies or frontier labs like Anthropic, OpenAI, or similar.

What you'll do: Co-design model capabilities by identifying gaps in frontier models, running headroom analyses, and defining areas of improvement alongside researchers at top AI labs Run experiments and benchmarks using internal simulation infrastructure and open-source tooling (e.g., Oddish) to evaluate model performance and hillclimb on specific verticals Translate customer requirements into action — take vague asks from partner labs, break them into research questions, and organize internal teams to hit aggressive delivery timelines Design and manage data curation pipelines — recruit and coordinate external domain experts, or work with research engineers to build synthetic data generation pipelines Perform literature reviews — stay current with SOTA research, read papers, and implement insights into practical training data and evaluation frameworks Own the full project lifecycle from research scoping through weekly data delivery, incorporating customer feedback and iterating rapidly over 1-3 month project cycles Bridge research and operations — communicate technical findings to non-technical contributors and translate user/enterprise pain points into evaluation and training data