Research Product Manager (RPM)

Abundant

San Francisco, CAFull-time$150–210K/yrPosted 2mo agoStill listed 3w 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 hiring a Research Product Manager (RPM). Abundant seeks a Research Product Manager to design and implement model capabilities, conduct literature reviews, run experiments, and translate user insights into evaluation data, while owning data pipelines and collaborating with researchers. The role demands technical fluency in evaluations, reinforcement learning, LLMs, and agents, and a strong research orientation.

Key focus areas include 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, and Run experiments and benchmarks using internal simulation stack and open source tooling such as Oddish.

Important skills include Model Capabilities Design, Literature Review, Headroom Analysis, A/B Testing, Benchmarking, and Oddish.

Skills & qualifications

RequiredNice to have

Skills

Model Capabilities DesignLiterature ReviewHeadroom AnalysisA/B TestingBenchmarkingOddishUser UnderstandingData Pipeline WorkTechnical FluencyEvaluationsRLLLMsAgentsResearch-OrientedExtreme OwnershipFounder MentalityResourcefulnessScrappyCreative Problem SolverCodexClaude Code

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Paid Time Off

Full job description

ABOUT ABUNDANT

As the need for scaling data becomes the core bottleneck to progress, moving from general knowledge to domain expertise, and from chatbots to agents. Abundant is solving this by designing and operating simulation infrastructure where next-generation models learn to reason and solve complex problems.

Our team is composed of high-impact former founders, ML engineers, roboticists, and data leads from companies like Waymo and Google, with experience deploying models at 1B user scale. We partner with a majority of the top AI labs, frontier startups, and F500 enterprises to enable AGI, ASI, and physical intelligence.

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.