Principal AI Product Manager

New
M
MinIOAI data infrastructure
Remote, USFull-TimePrincipal
Salary not disclosed
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Job Details

Experience
8+ years in product management, with at least 3 years on infrastructure, data, or AI/ML products sold to technical buyers
Required Skills
Product Management

Requirements

  • Have 8+ years of product management experience.
  • Have at least 3 years working on infrastructure, data, or AI/ML products sold to technical buyers.
  • Demonstrate fluency in modern AI and analytics stacks, including how training and inference pipelines consume storage and the relevant tradeoffs.
  • Understand how data platform teams make build-versus-buy decisions.
  • Have worked closely with field teams on revenue-generating deals and seller enablement.
  • Have partnered with Marketing on narratives and presented at external conferences or webinars.
  • Use data to test hypotheses and write clearly and rigorously.
  • Have a record of effective partnership with engineering and technically credible prioritization.
  • Bring experience in storage, analytics, databases, or data infrastructure.
  • Have experience with open-source-adjacent commercial products and their go-to-market motions.
  • Prior experience at a high-growth infrastructure company is relevant.

Responsibilities

  • Set growth strategy for AI products, including target markets, buyers, competitive positioning, and sequencing of bets.
  • Engage inference platform teams, data platform leads, and decision-making buyers; join strategic deals and run win/loss analysis.
  • Partner with Marketing on product positioning, AI narratives, and published content.
  • Build sales assets and support important deals so Field teams can lead inference- and lakehouse-buyer conversations.
  • Make pricing and packaging decisions across MinIO portfolio products and AI and Analytics motions.
  • Track the AI training and inference competitive landscape and shape product differentiation.
  • Develop partner go-to-market motions for AI.
  • Use customer signal, pipeline data, and competitive insight to influence product direction.
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