Who we are

Domino Data Lab powers model-driven businesses with its leading Enterprise AI platform trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino, enterprises worldwide can develop better medicines, grow more productive crops, build better cars, and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital and other leading investors. For more information, visit www.domino.ai

What we are building

At Domino, we are reimagining what it means to build and operate AI at scale. As the Principal Product Manager for our “AI Factory,” the set of product capabilities that provide a streamlined user experience for developing, 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.

Your impact will be:

• Define and execute a product strategy that positions Domino as the leader in helping customers build and operate Generative AI systems, working closely with engineering to bring these innovations to market
• 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

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, 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 have: Experience in the financial services industry

What we value

• We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
• We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
• We believe in individuals who seek truth and speak the truth and can be their whole selves at work
• We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

#LI-Remote

The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.