Domino Data Lab logo
Domino Data Lab

The Enterprise MLOps platform powering over 20% of the Fortune 100

Principal Product Manager, AI Factory

Product ManagerProduct ManagerFull TimeRemoteLeadTeam 201-500Since 2013H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

62 days ago

Salary

$250K - $300K / year

Seniority

Lead

5 yrs expEnglish

Job Description

• own the set of product capabilities that streamline the model development lifecycle: developing, training, deploying, and monitoring models and AI systems • 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

Job 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 have: Experience in the financial services industry.

Benefits

  • equity
  • company bonus or sales commissions/bonuses
  • 401(k) plan
  • medical, dental, and vision benefits
  • wellness stipends

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