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Research Product Manager

Success Matcher Recruitment · San Francisco, United States

Mixed hiring record · median 53 days open

5555

Hiring signal

Stale

Open 72 days · How we score

All reasons
  • Open 72 days
  • 31% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board
  • Publishes a salary range

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Research Product Manager at Success Matcher Recruitment. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Position Title

Research Product Manager

Salary

$150,000 - $210,000 base (flexible up to $240,000 for exceptional candidates) + performance bonus + equity

Location

San Francisco, CA (In-Office)

No of Headcount Needed

3

Relocation Package

N

Visa Sponsorship

Y (OPT, H1B transfers, new H1B, TN supported)

Our client is a Y Combinator-backed, seed-stage AI data research lab building the data layer for reinforcement learning. Often described as the "NVIDIA of training data," they build synthetic data pipelines and simulation environments that enable frontier AI models to learn and reason. Instead of writing traditional application PRDs or managing feature backlogs, you will act as the PM of the model itself—co-designing capabilities alongside elite AI researchers.

Key Responsibilities

  • Co-design model capabilities alongside researchers and diagnose performance gaps in long-horizon coding, cybersecurity, and ML chip design.
  • Architect synthetic data pipelines and simulation environments using our client's proprietary engine to address model weaknesses.
  • Execute experiments and benchmarks using internal simulation stacks and open-source tooling.
  • Engage directly with researchers at top AI labs and Fortune 500 enterprises to identify where state-of-the-art models fail in real-world scenarios.
  • Influence the product roadmap, go-to-market strategy, and overall research direction based on evaluation metrics.

Requirements

  • Hands-on project experience with RL training data, synthetic data generation, or simulation environments.
  • Proven ability to diagnose model failure modes and build targeted training data solutions.
  • Strong technical fundamentals (CS degree, ML background, or equivalent) with the ability to read code and understand model architecture.
  • Direct experience running ML experiments and interpreting benchmarking data.
  • High drive and adaptability suited for an early-stage, fast-moving meritocracy.

Compensation & Benefits

  • $150,000 - $240,000 base salary + performance bonus + meaningful early-stage equity.
  • Full health, dental, and vision coverage.
  • Flexible PTO.

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