Staff Product Manager, AI Factory

Domino Data Lab is a company that builds software to help enterprises deliver mission-critical AI systems. The Staff Product Manager will be responsible for driving the strategy and vision of the platform, focusing on advancing product capabilities and empowering customers to manage cutting-edge AI systems efficiently.

Responsibilities:

• Own a set of product capabilities within our platform
• Drive the strategy and vision that elevates our platform’s capabilities
• Advance 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)
• Strengthen the Platform and Cloud layers — how customers deploy, host, secure, and administer Domino across SaaS and customer-managed environments
• 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

Requirements:

• 5+ years of product management experience, delivering enterprise software tailored to data scientists or similar personas (ML/AI engineers, quantitative researchers, etc.)
• 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
• 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
• Familiarity with DS/AI workflows and ecosystems, or an ability to quickly build empathy for technical users like data scientists and ML engineers
• Experience in the financial services industry or public sector