Why This Job is Featured on The SaaS Jobs
This Technical Program Manager role sits at the intersection of platform building and data operations, an area increasingly central to modern SaaS products that embed AI capabilities. Work focused on synthetic and training data highlights a shift in the SaaS ecosystem where differentiated product outcomes depend as much on data pipelines and governance as on application features. The remit suggests involvement in foundational systems that influence how models and downstream product experiences evolve.
From a SaaS career perspective, the role builds durable program leadership skills around cross-functional delivery, prioritisation, and roadmap ownership in a highly technical domain. Managing acquisition and readiness of large datasets, alongside platform feature development, maps closely to the kinds of internal product platforms that many SaaS companies rely on as they scale usage, reliability, and iteration cadence. Experience coordinating researchers and engineers also translates to other SaaS environments where R&D and product delivery are tightly coupled.
This position is best suited to program leaders who prefer ambiguous problem spaces, can translate technical constraints into execution plans, and are comfortable being accountable for end-to-end outcomes rather than narrow project slices. It will likely appeal to professionals aiming to deepen expertise in data infrastructure and internal tooling while maintaining a broad view of product impact.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
In this role, you will:
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.
You might thrive in this role if you:
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.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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