Technical Program Manager, Synthetic Data

OpenAI • San Francisco, CA

6d • Hybrid

About The Position

About the Team
The Foundations TPM Team is responsible for providing the training data to advance our models’ intelligence and expand their capabilities. We build and manage some of the largest datasets in the world — spanning trillions of tokens across modalities and languages. Our work directly shapes what our models learn and teaches them new skills that hundreds of millions of people use.
About the Role
As a Foundations TPM, you’ll work directly with researchers to create the datasets we need to achieve AGI. You’ll work with researchers to understand what data we need and drive our efforts to acquire it. You’ll also lead the development of our data platform to power both human researchers and AI agents to search, filter, and curate massive datasets for training.
We’re looking for people who want to push the frontier of AI through better data and build the next generation of tooling for working with internet-scale pipelines and training datasets.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

Nice To Haves

• You’ve led large and ambitious technical programs that had a major impact.
• Are fluent in infrastructure, data, or AI/ML, and love working shoulder-to-shoulder with researchers and engineers.
• You have excellent communication skills - you are able to articulate problems clearly and drive decision making in the face of ambiguity.

Responsibilities

• Lead end-to-end programs to acquire and deliver high-impact data and training environments, collaborating closely with our research, crawling, partnership, and human data teams.
• Drive the end-to-end creation of mission-critical training datasets for major model training runs.
• Own the data platform roadmap and lead the development of new features — proposing, prioritizing, and iterating on features that unlock research velocity.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed