Staff Product Manager, AI Factory

About the role

At Domino, we are seeking a Staff Product Manager to lead the strategic direction of our platform, focusing on enhancing our offerings to help customers build, deploy, and manage cutting-edge AI systems more efficiently.

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).
• Strengthening 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.
• Bonus if you bring familiarity with DS/AI workflows and ecosystems, or an ability to quickly build empathy for technical users like data scientists and ML engineers.
• 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.

Qualifications

• Nice to have: Experience in the financial services industry or public sector.

Skills

• Strategic thinking and commercial acumen.
• Experience in product management for enterprise software.
• Understanding of AI/ML ecosystems and workflows.
• Ability to engage with the broader AI/ML community.
• Strong technical proficiency in computer science or a related field.
• Experience in enterprise sales and customer interactions.

Benefits

• Annual US base salary range: $225,000—$300,000 USD.
• Equity.
• Company bonus or sales commissions/bonuses.
• 401(k) plan.
• Medical, dental, and vision benefits.
• Wellness stipends.

Pay

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.

Schedule

Flexible work schedule to accommodate the needs of the role and the team.