Six Figure Work

Research Product Manager (RPM)

Abundant

Company websiteabundant.ai (Abundant, opens in new tab)

Base salary $150K  to $210K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (47 min ago) · observed since

About this job

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

Source: Abundant on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($150,000) is above 22% of the 937 Product roles in California listed on this site; 25 others list the same floor. Their median floor is $176,800; the middle half runs from $150,300 to $205,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 2 other live Abundant roles with the nearest advertised base floor
Chart as a table
This range next to 2 other live Abundant roles with the nearest advertised base floor
RolePublished base
Research Product Manager (RPM) (this listing)$150K - $210K
Member of Technical Staff, Alignment$250K - $450K
Member of Technical Staff, Research$250K - $450K

Same $100K to $400K scale as every card. All Abundant roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-07-07
Where this pay comes from

Location as the employer wrote it: San Francisco

$150,000 - $210,000

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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