Research Product Manager (RPM)

abundant

$150K — $210K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years in a research-focused PM role
  • Strong technical expertise in evaluations, reinforcement learning, and LLMs
  • Experience with coding agents like Codex or Claude Code
  • Ability to stay current with state-of-the-art research
  • Demonstrated ownership mentality and resourcefulness
  • Creative problem-solving skills

Responsibilities

  • Co-design capabilities for model improvements alongside a researcher
  • Conduct literature review to analyze recent trends and developments
  • Run experiments and benchmarks using simulation tools and open source software
  • Gather user insights to identify performance gaps in models and agents
  • Support research operations by developing data pipelines

Benefits

  • Health, dental, and vision insurance
  • Flexible paid time off (PTO)
Full Job Description
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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