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Research Product Manager (RPM)

Abundant

San Francisco, CAFull-time$150–210K/yrPosted 3mo agoStill listed 3 days ago

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At a glance

Compensation
$150–210K/yr
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Abundant is an applied research lab focused on scaling reinforcement learning for safe and reliable agentic capabilities. The Research Product Manager role is a founding‑level position that designs and implements model capabilities, conducts literature reviews, runs experiments, and serves as the voice of model users, with ownership over data pipelines and research operations.

Skills & qualifications

RequiredNice to have

Skills

Deep Understanding of EvaluationsReinforcement LearningLarge Language ModelsAgentsResearch SkillsCoding AgentsCodexClaude Code

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off

Full job description

ABOUT ABUNDANT Abundant is an applied research lab focused on scaling reinforcement learning for safe and reliable agentic capabilities. We are an extremely talent-dense team of researchers, roboticists, founders, and operators whose work includes the Waymo Driver. THE ROLE Research PM (RPM) is a role unique to Abundant. RPMs are PMs of the model, unlike traditional PMs who own an application or a feature. RPMs design and implement model capabilities, either as part of an AI lab, data lab, or other research organization. This is a founding-level role with outsized ownership. WHAT YOU’LL DO

  • Co-design capabilities of the model: define areas of improvement for the model, along with the Researcher.

  • Perform literature review: headroom analysis, identifying recent work in academic and industry circles.

  • Run experiments and benchmarks: using our internal simulation stack and our open source tooling such as Oddish to define and hillclimb on the vertical.

  • Become the voice of the model user: Talk to individual users and/or enterprises, in order to deeply understand where models and agents are underperforming, turning these insights into evaluation and training data.

  • Work on data pipelines: internal tooling to support research operations.

WHO YOU ARE

  • Technically fluent: Deep understanding of evaluations, RL, and how LLMs and Agents work.

  • Research-oriented — Able to read papers and keep up with SOTA literature.

  • Extreme owner — You have extreme agency and a founder mentality; you are resourceful and scrappy.

  • Creative problem solver — You leverage creativity and research skills to design projects from the ground up.

  • Must be highly proficient with coding agents such as Codex or Claude Code.

COMPENSATION Base Salary $150,000 - $210,000 Cash Bonus Sizable performance bonus tied to project and company milestones Equity Meaningful early-stage grant Benefits Health, dental, vision + flexible PTO

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