Principal Product Manager, AI Factory - Domino Data Lab

Who we areAt Domino, we build software that helps the world’s most sophisticated enterprises deliver mission-critical AI systems. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy models — while managing costs, risk, and security. Our customers — like Johnson & Johnson, GSK, Bristol Myers, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or defending our country. Backed by Sequoia Capital and other leading investors we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it.

What we are buildingAt Domino, we are reimagining what it means to build and operate AI at scale. As the Principal Product Manager for our “AI Factory,” you’ll own the set of product capabilities that streamline the model development lifecycle: developing, training, deploying, and monitoring models and AI systems.

Domino has long been a trailblazer in the data science and MLOps space, offering an integrated, end-to-end product experience — from development and experimentation to model publishing and operationalization. As the industry’s MLOps maturity increases, and as Gen AI creates new challenges for building and deploying AI systems maturity, we are advancing our product to meet the emerging needs of our customers.

Your mission? To define and execute the next chapter of Domino’s “AI Factory.” You'll be responsible for driving the strategy and vision that elevates our platform’s capabilities, empowering our customers to build, deploy, and manage cutting-edge AI systems with greater ease and efficiency.

What your impact will beSome specific focus areas will include:

• Advancing our novel Governance feature set to integrate model validation/review into the model development lifecycle. Drive breakthrough innovations (e.g., automated model documentation) as well as modern implementations of longstanding industry requirements (e.g., attestation, periodic revalidation).
• Evolve our platform to better support Generative AI models and advanced AI systems
• Expand and enhance our MLOps capabilities, enabling customers to streamline their AI workflows
• Increase integration and coherence across our platform, accelerating the time it takes for AI projects to move from inception to production

What we look for in this role

• 5+ years of product management experience, delivering enterprise software tailored to data scientists or similar personas (ML/AI engineers, quantitative researchers, etc.)
• Deeply plugged into the AI/ML ecosystem, with a passion for engaging the broader community. You’re comfortable speaking at conferences, contributing to discussions, an