---
title: 'Sr. AI Product Manager at MinIO'
canonical: 'https://feeny.ai/job/sr-ai-product-manager-minio-united-states-fvdyqj2c9fgg'
type: 'job'
last_seen: '2026-09-15'
---

# Sr. AI Product Manager at MinIO

- **Company:** MinIO
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-06-04
- **Last confirmed live:** 2026-09-15
- **Apply:** https://job-boards.greenhouse.io/minio/jobs/5239488008

## Job description

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."

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
- 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

What We Offer:

- Health Care Plan (Medical, Dental & Vision)
- 401K with 3% Contribution
- Pre-IPO Stock Options
- At least 12 Public Holidays
- Flexible Time Off

## Equal Opportunity Policy (EEO)

MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

## About MinIO

## Company Overview
- **One-liner**: MinIO provides high-performance, S3-compatible object storage purpose-built for AI, analytics, and cloud-native workloads.
- **Entity Type**: Private (Series B; total funding $126.3M, last round $103M raised ~4 years ago)
- **Headquarters**: Redwood City, California, United States
- **Founded**: 2014
- **Founders**: Garima Kapoor, Anand Babu “AB” Periasamy, Harshavardhana

## Core Business
- **Primary industry**: Data Infrastructure / Object Storage
- **Target customers**: B2B, Enterprise (77% of the Fortune 500 use MinIO), AI/ML teams, analytics platforms
- **Mission**: Remove every barrier between organizations and their data, enabling secure, sovereign, AI-ready infrastructure.

## Products & Services
- **[MinIO AIStor](https://www.min.io/)**: High-performance object store with native S3 compatibility, consistent sub-10ms latency, exabyte-scale scalability, and 99.999999999% durability. Designed for AI training, inference, and analytics. Includes zero-touch operations, self-healing architecture, and 40% lower TCO.
- **Context Memory for AI Inference**: Purpose-built memory layer that delivers 95%+ GPU utilization, 50% lower cost per token, and average savings of $2M per 100 GPUs.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: $126.3M total funding raised (Series B, last round $103M)
- **Notable Investors/Partners**: Investors listed on company site but not named in public summaries; strategic partner Databricks (named 2026 ISV Storage Partner of the Year)
- **Growth Signals**:
  - 77% of the Fortune 500 use MinIO
  - 32.9K+ GitHub stars, 53.3K+ community members, 1.4K+ contributors
  - Peak throughput of 19.2 TiB/s
  - Awarded 2026 Databricks ISV Storage Partner of the Year
  - Expanding globally with open roles in South Korea, Saudi Arabia, France, and across the US

## Competitive Advantages
- **Unmatched performance**: Sub-10ms latency and ability to saturate any hardware (drive IOPS to network throughput)
- **Limitless scalability**: Single flat namespace scales across clusters, data centers, and clouds to exabyte level
- **Enterprise-grade reliability**: 11 nines durability, self-healing, zero-touch operations
- **Ecosystem integration**: Native support for PyTorch, Iceberg, and all major AI frameworks; richest S3 API support
- **Cost efficiency**: 40% lower total cost of ownership compared to legacy storage

## Strategic Focus
- Accelerating AI transformation with a data foundation that unifies edge, core, and cloud environments
- Enabling zero-copy hybrid data architectures for analytics and agentic computing
- Deepening partnerships with AI/ML platforms (e.g., Databricks, NVIDIA) and expanding into new geographies

## Why Work Here
- **Culture**: Described as “hackers” who are problem solvers, kind, and minimalist. Emphasis on empathy, open discourse, rapid prototyping, data-driven change, and going above and beyond for customers.
- **Work environment**: Remote-first, globally distributed. Offices in Redwood City, CA (hybrid for some roles).
- **Benefits**: Medical, vision, dental insurance; paid maternity and paternity leave; $25,000 basic life insurance; long-term disability; unlimited vacation plus 12 paid holidays; 401(k) with match.
- **Diversity**: Hiring focused solely on talent and qualifications, regardless of background or demographics.
- **Engineering culture**: Strong open-source community (32.9K GitHub stars), rapid prototyping, and minimal overhead in product and process.

## Sources
1. [MinIO Careers Page](https://www.min.io/careers)
2. [MinIO Official Site](https://www.min.io/)
3. [MinIO Job Board (Greenhouse)](https://job-boards.greenhouse.io/minio)
4. [MinIO About Page](https://www.minio.io/about)
5. [CB Insights Company Profile](https://www.cbinsights.com/company/minio)

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