Principal Product Manager, AI Factory

Domino Data Lab

1d•Remote

About The Position

At 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. At 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.

Requirements

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, and have a clear point of view on the future of AI and data science
Strategic thinker with commercial acumen: You excel at crafting product strategies that align with both customer needs and broader market trends, always with a focus on driving business growth
Expertise in DS/AI workflows and ecosystems, with a comprehensive understanding of the tools, platforms, and methodologies that power modern machine learning and AI
High standards for product quality: You have a strong sense of taste and are discerning when it comes to design and user experience, ensuring that everything we ship is of exceptional quality
Strong technical proficiency: With a background in computer science or a related field, you’re comfortable working closely with engineers, brainstorming approaches, and discussing technical trade-offs
Enterprise customer intuition: You bring strong communication skills and practical judgment when engaging with enterprise clients, having collaborated on enterprise sales and customer interactions in the past

Nice To Haves

Experience in the financial services industry

Responsibilities

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).
Lead the development of the next generation of MLOps capabilities, ensuring that Domino continues to offer cutting-edge solutions for the AI lifecycle
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