Note: The job is a remote job and is open to candidates in USA. MinIO is the industry leader in high-performance object storage, powering production infrastructure for many Fortune 500 companies. They are seeking a Senior AI Product Manager to lead product strategy and execution, focusing on growth, customer engagement, and competitive differentiation in the AI and analytics space.
Responsibilities
- 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
Skills
- 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
- Real comfort with pricing and packaging decisions — if you've owned or co-owned them, not just commented on them, that's a big plus
- Background in storage, analytics, databases, or data infrastructure
- If you have been an AI/ML Engineer with deep expertise in the data infrastructure stack we would love to talk to you
- Experience with open-source-adjacent commercial products and the unique GTM motions they require
- Prior experience at a high-growth infrastructure company
Benefits
- Health Care Plan (Medical, Dental & Vision)
- 401K with 3% Contribution
- Pre-IPO Stock Options
- At least 12 Public Holidays
- Flexible Time Off
Company Overview
Company H1B Sponsorship