Give every AI agent access to your enterprise's knowledge. AIStor delivers persistent memory and AI-ready data for training, inference, and intelligent agents. Backed by General Catalyst and SoftBank VF.
About the role
This is the senior product role on a small, high-leverage product team. You'll own key pieces of the product line — from how we position it, to how we price it, to how the field sells it. You'll work closely with engineering and be the person Marketing and Field teams looks to for the answer to "why us, why now”.
What they're looking for
- 8+ years in product management, with at least 3 years on infrastructure, data, or AI/ML products sold to technical buyers
- 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
More about this role
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
This is the senior product role on a small, high-leverage product team. You'll own key pieces of the product line — from how we position it, to how we price it, to how the field sells it. You'll work closely with engineering and be the person Marketing and Field teams looks to for the answer to "why us, why now”.
We need a product leader who lives close to customers and to revenue, who can hold a deeply technical conversation with multiple stakeholders - from technical buyers to executives, and who treats GTM as a first-class part of the product — not something that happens after the product is "done."
- 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...
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