Sr. AI Product Manager

What You Will Do:

• Growth strategy for AI — where we play, who we sell to, how we win, and the sequencing of bets that gets us there
• The customer and buyer motion — being in front of inference platform teams, data platform leads, and the buyers who decide. Joining strategic deals. Running the win/loss loop and feeding it back into strategy.
• Positioning and narrative — partnering with Marketing on how the AI stories land in market, what we publish, and how a first-time buyer encounters MinIO
• Field partnership — building the assets sellers actually use, supporting the deals that matter, making sure the field can run an inference-buyer or lakehouse-buyer conversation confidently
• Pricing and packaging — how MinIO portfolio products are packaged, how the AI and Analytics motions are priced differently if they should be, and how we capture value as workloads grow
• Competitive intelligence — knowing the AI training inference competitive landscape, and shaping how we differentiate
• Partner GTM for AI — the AI ecosystem is partner-heavy, and unlocking it is part of the role
• Influence on the product — through customer signal, pipeline data, and competitive insight you will be the most informed external voice in the room to influence direction.
• Your Skills and Experience:
• 8+ years in product management, with at least 3 years on infrastructure, data, or AI/ML products sold to technical buyers
• Demonstrated fluency in modern AI and analytics stacks — you don't need to have trained a foundation model, but you should be conversant in how training and inference pipelines actually consume storage, key tradeoffs and why it matters, and how data platform teams make build/buy decisions
• A track record of working closely with field teams on real revenue — you've sat in on deals, you've built enablement that sellers actually used, you've changed a deal's outcome with a well-timed product conversation
• Partnership with marketing on crafting compelling narratives, presented at external conferences, webinars
• Strong analytical instincts — you reach for data to test your hypotheses, not to confirm them
• The ability to write clearly and think rigorously in writing. Most of the work that compounds in this role is written
• Excellent partnership with engineering — you've earned engineers' trust before by being technically credible and by making prioritization defensible