Research Product Manager

Success Matcher Recruitment; San Francisco (CA); On-site; USD 150,000 - 240,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

Equity

In-office in San Francisco

Job summary

Success Matcher Recruitment is representing a seed-stage AI data research lab in San Francisco seeking a Research Product Manager. You will co-design model capabilities with researchers, address long-horizon performance gaps, and drive experimental benchmarks using internal stacks and open-source tools.

The role combines product leadership with hands-on ML experimentation, requiring a CS degree or ML background, and experience running ML experiments.

Qualifications

• Hands-on experience with RL training data, synthetic data generation, or simulation environments.
• Ability to diagnose model failure modes and build targeted training data solutions.
• Strong CS/ML fundamentals with ability to read code and understand model architecture.
• Experience running ML experiments and interpreting benchmarking data.
• High drive and adaptability for an early-stage, fast-moving meritocracy.

Responsibilities

• Co-design model capabilities with researchers and diagnose performance gaps.
• Architect synthetic data pipelines and simulation environments using our client's engine to address model weaknesses.
• Execute experiments and benchmarks using internal simulation stacks and open-source tooling.
• Engage directly with researchers at 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.

Skills

RL training data

Synthetic data generation

Model evaluation/benchmarking

Code literacy

Fast-moving startup mindset

Education

CS degree / ML background

Job description

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.