Research Product Manager (RPM)

Abundant; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health, dental, vision + flexible PTO

Job summary

Abundant in San Francisco seeks a founding-level Research PM to design and implement model capabilities within an AI/data lab framework. This role carries significant ownership and requires a deep technical fluency across evaluations, RL, LLMs, and agent systems.

You will co-design capabilities, run benchmarks with our internal stack and Oddish, review current literature, engage with enterprise users, and help build data pipelines and evaluation tooling to advance model performance.

Qualifications

• Technically fluent with evaluations, RL, and how LLMs and Agents work.
• Research-oriented: able to read papers and keep up with SOTA literature.
• Extreme owner: founder mentality; resourceful and scrappy.
• Creative problem solver: design projects from the ground up.

Responsibilities

• Co-design capabilities of the model.
• Perform literature reviews to identify relevant work.
• Run experiments and benchmarks using our internal stack and Oddish.
• Become the voice of the model user by gathering feedback from users and enterprises.
• Work on data pipelines and internal tooling to support research operations.

Skills

Technical fluency

Research oriented

Extreme ownership

Creative problem solving

Coding agents (Codex/Claude Code)

Tools

Oddish

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.

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