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MinIO

S3-compatible object storage for AI workloads

Principal AI Product Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • At least 8 years of product management experience, including at least 3 years working on infrastructure, data, or AI/ML products sold to technical buyers.
  • Demonstrated fluency in modern AI and analytics stacks, including how training and inference pipelines consume storage, key tradeoffs, and how data platform teams make build-versus-buy decisions.
  • A track record of working closely with field teams on revenue, participating in deals, creating seller-used enablement, and influencing deal outcomes through product conversations.
  • Experience partnering with Marketing on narratives and presenting at external conferences or webinars.
  • Strong analytical instincts and use of data to test hypotheses.
  • Ability to write clearly and think rigorously in writing.
  • Experience partnering effectively with engineering teams, earning engineers' trust through technical credibility and defensible prioritization.
  • Background in storage, analytics, databases, or data infrastructure.
  • Experience with open-source-adjacent commercial products and their go-to-market motions.
  • Prior experience at a high-growth infrastructure company.

Responsibilities

  • Own key parts of the product line, including positioning, pricing, packaging, and field selling.
  • Set AI growth strategy, including target markets and buyers, competitive approach, and sequencing of strategic bets.
  • Engage with inference platform teams, data platform leads, and decision-makers; join strategic deals and run win/loss analysis to inform strategy.
  • Partner with Marketing on AI product positioning, published content, and the first-time buyer experience.
  • Build sales assets, support important deals, and help field teams conduct inference- and lakehouse-buyer conversations.
  • Determine product packaging and whether AI and Analytics go-to-market motions should be priced differently; capture value as workloads grow.
  • Track the AI training and inference competitive landscape and shape differentiation.
  • Develop partner go-to-market opportunities in the AI ecosystem.
  • Influence product direction using customer feedback, pipeline data, and competitive insight.

Desired Qualifications

  • Experience owning or co-owning pricing and packaging decisions.
  • Experience as an AI/ML Engineer with deep expertise in the data infrastructure stack.

About the Company

MinIO

S3-compatible object storage for AI workloads

MinIO provides high-performance, S3-compatible object storage designed for large-scale workloads in AI, machine learning, data lakes, and databases. It delivers a software-defined storage solution that can run on any cloud or on-premises infrastructure, offering encryption, data protection, governance, and immutable storage with active-active, multi-site replication for mission-critical environments. It differentiates itself through a dual-licensing model (open-source GNU AGPL v3 plus a commercial enterprise license), enabling both free use and paid enterprise features and support. Its goal is to give organizations a secure, scalable, and flexible object storage platform that works across heterogeneous infrastructure and meets regulated workloads.

Company size
201-500
Company stage
Series B
Total funding
$146.3M
Headquarters
Palo Alto, CA
Founded
2014

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