Product Manager, Real-World Data & Datasets

Mercor; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Performance bonus

Equity grant

Relocation bonus

Housing bonus

Meal stipend

Equinox membership

Laundry reimbursement

Wellness reimbursement

Health insurance

Job summary

Mercor, based in San Francisco, seeks a Product Manager for Real World Data to shape how datasets are built, packaged, and delivered for frontier AI tasks. You will own the end-to-end product lifecycle, working with researchers, engineers, and sales to define what data is valuable at each training stage.

You will collaborate across teams to ensure datasets meet market needs, while maintaining high quality standards and driving measurable impact on model performance.

Qualifications

• 3+ years as a product manager with SWE/ML/DS exposure preferred.
• Ability to own outcomes end-to-end and drive initiatives.
• Strong technical fluency and comfort building MVPs to validate direction.

Responsibilities

• Build new dataset/product lines by partnering with research and environments teams.
• Own the roadmap with sellable datasets based on lab feedback and demand.
• Lead product discovery across pre-training, mid-training, and post-training stages.
• Define packaging and positioning for datasets and determine target customers.
• Set quality standards for dataset structure, documentation, and delivery.
• Improve time to value by tightening scoping, sampling, and quality review.

Skills

Product management

Roadmap planning

User research

Stakeholder management

Technical fluency

Tools

SQL

Python

ML basics

Job description

Mercor, based in San Francisco, seeks a Product Manager for Real World Data to shape how datasets are built, packaged, and delivered for frontier AI tasks. You will own the end-to-end product lifecycle, working with researchers, engineers, and sales to define what data is valuable at each training stage.

You will collaborate across teams to ensure datasets meet market needs, while maintaining high quality standards and driving measurable impact on model performance.