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HomeCompaniesAbundantResearch Product Manager (RPM)

Research Product Manager (RPM)

Abundant · San Francisco · On Site · Deleted · $150,000–$210,000 / year · Ashby

Job facts

FieldValue
CompanyAbundant
TitleResearch Product Manager (RPM)
Normalized title-
Department / teamResearch / Research
LocationSan Francisco, CA, United States
Work modelOn Site
Employment typeFull Time
Salary$150,000–$210,000 / year
Statusdeleted
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-06-04 / 2026-06-02

Related slices

PageWhat it containsOpen
Company jobsActive postings from Abundant.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Research.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAbundant
Source0553fd37-9447-4f8b-8317-cd30950edc29
ATS providerAshby

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

Full job record

Job ID97a7c5813c3334efa6533d384379b993ea04c058
Org ID344761a1-a219-4f2e-8c10-59d48e9efe17
Source ID0553fd37-9447-4f8b-8317-cd30950edc29
Board ID0553fd37-9447-4f8b-8317-cd30950edc29
Providerashby
Provider Job Key29a78fe0-e392-47b0-81f4-5a540f2c36aa
TitleResearch Product Manager (RPM)
Normalized Title
Statusdeleted
Activeno
Location TextSan Francisco
DepartmentResearch
TeamResearch
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary RawCOMPENSATION Base Salary $150,000 - $210,000 Cash Bonus Sizable performance bonus tied to project and company milestones Equ
Salary Min150,000
Salary Max210,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.ashbyhq.com/abundant/29a78fe0-e392-47b0-81f4-5a540f2c36aa
Apply URLhttps://jobs.ashbyhq.com/abundant/29a78fe0-e392-47b0-81f4-5a540f2c36aa/application
First Seen At2026-05-29 05:25:12Z
Last Seen At2026-06-02 13:14:46Z
Last Checked At2026-06-04 12:53:22Z
Last Changed At2026-06-04 12:53:22Z
Inactive At2026-06-04 12:53:22Z
Source Posted At
Source Updated At
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=ashby/board=abundant/date=2026-06-02/2026-06-02T13-14-40-572Z-3809c906e0e72a9cb00bf909a7edc2075dea24965c23cff5294c4f3311940cab.json
Event Fields
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  "last_changed_at": "2026-06-04T12:53:22.940Z",
  "active_status": "deleted"
}
Parsed Structured
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  "launch_scope": {
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  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": "on_site",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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  "team": "Research",
  "title": "Research Product Manager (RPM)",
  "jobUrl": "https://jobs.ashbyhq.com/abundant/29a78fe0-e392-47b0-81f4-5a540f2c36aa",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/abundant/29a78fe0-e392-47b0-81f4-5a540f2c36aa/application",
  "isListed": true,
  "isRemote": false,
  "location": "San Francisco",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Research",
  "publishedAt": null,
  "workplaceType": "OnSite",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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