Full-Time

Senior AI Product Manager

MinIO

MinIO

201-500 employees

S3-compatible object storage for AI workloads

No salary listed

Remote in USA

Remote

Remote within the United States; US work authorization required.

Category
Product
Required Skills
Product Management
Machine Learning
Data Analysis

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Requirements
  • 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
  • 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
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

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, California

Founded

2014

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Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks named MinIO 2026 ISV Storage Partner of the Year in June.
  • AIStor Tables launched GA in February 2026, lowering storage costs up to 40%.
  • MemKV launched in May 2026, lifting GPU utilization above 90% in benchmarks.

What critics are saying

  • MinIO archived its community repository in April 2026, freezing upstream fixes.
  • Archived MinIO CE exposes deployments to CVEs and forces customers toward AIStor migration.
  • AWS S3 Tables, Databricks, and open-source rivals compress MinIO's storage moat fast.

What makes MinIO unique

  • MinIO AIStor unifies objects, tables, and memory for enterprise AI workflows.
  • MinIO embeds OpenSharing and Iceberg V3 directly into storage, cutting replication layers.
  • MinIO runs on-prem, sovereign, and hybrid infrastructure, preserving customer control and governance.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

Pre-IPO Stock Options

Paid Holidays

Flexible Time Off

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
The Register
Jul 29th, 2026
MinIO launches AIStor Memory to give AI agents persistent storage for multi-step workflows

MinIO has launched AIStor Memory, object storage software designed to give AI agents persistent memory across sessions. The product allows agents to retain context, resume interrupted work, and operate on enterprise data under existing governance controls. MinIO argues that as AI agents increasingly handle multi-step jobs spanning sessions, controlling the resulting organisational knowledge becomes essential. Co-founder AB Periasamy said knowledge generated by AI agents "becomes organisational memory, and organisational memory belongs on enterprise-controlled infrastructure." AIStor Memory integrates object storage, vector stores, metadata databases, and secrets management into a single platform. It mounts directly into existing sandboxes and works with current tools without modification. The software supports long-running workflows including software engineering, deep research, human-in-the-loop processes, and enterprise AI systems handling regulated data. MinIO emphasises that memory remains on customer-owned infrastructure, protected by customer-held keys.

Associated Press
May 13th, 2026
TuxCare launches support service for archived MinIO following community repository shutdown

TuxCare has launched Endless Lifecycle Support for MinIO following the archival of MinIO's community repository in February 2026. The service provides ongoing security patches, SBOM visibility and SLA-backed support for organisations running existing MinIO deployments. MinIO, a widely used S3-compatible object storage server, was archived by MinIO Inc on 13 February 2026, leaving the repository read-only with no further community updates or security patches. Several vulnerabilities have since been disclosed affecting the final community release, including CVE-2026-39414 and CVE-2026-34204. TuxCare's ELS for MinIO delivers security patches through RPM, DEB and Go binary packages whilst maintaining compatibility with existing infrastructure. The service supports virtual machines, bare-metal environments and on-premises deployments, helping organisations maintain operational continuity without forced migrations.

Yahoo Finance
May 13th, 2026
MinIO launches MemKV for AI inference, boosting GPU use from 50% to 90% and saving $2M yearly

MinIO has announced MemKV, a context memory store designed for AI inference workloads that delivers microsecond context retrieval at petabyte scale. Built for NVIDIA STX architecture, MemKV addresses the "recompute tax" caused when AI systems lose context and must repeat completed work. The company claims MemKV substantially reduces time-to-first-token at production concurrency. In a typical enterprise deployment with 128 GPUs and 128K-token context length, the technology increased GPU utilisation from approximately 50% to over 90%, resulting in $2 million in annual compute savings. MemKV is the second product in MinIO's portfolio alongside AIStor, extending the company's data foundation into the memory tier where inference runs. The system provides persistent, shared context across GPU clusters, breaking the traditional tradeoff between high-speed memory and scalable storage.

Yahoo Finance
Mar 17th, 2026
Four Inc. partners with MinIO to deliver AI-ready data infrastructure for US public sector

Four Inc. has been named the public sector technology provider for MinIO, the data foundation for enterprise analytics and AI. The partnership will make MinIO's AIStor cloud-native object storage platform available to government agencies through Four Inc.'s NASA SEWP V and ITES-SW2 contract vehicles. MinIO's software-defined platform unifies structured and unstructured data into a single namespace, designed to handle AI training pipelines and data-intensive workloads whilst meeting federal security standards. The system is built for exascale performance and can operate across edge, core and cloud environments. The collaboration combines Four Inc.'s public sector expertise with MinIO's data infrastructure capabilities. MinIO is backed by investors including AME Cloud Ventures, Dell Technologies, General Catalyst and Softbank Vision Fund 2.

Yahoo Finance
Mar 16th, 2026
MinIO AIStor supports NVIDIA STX reference architecture for AI data storage

MinIO has announced that MinIO AIStor will support object data stores for the NVIDIA STX reference architecture. The collaboration positions AIStor as a unified, high-performance datastore designed to power the full AI lifecycle, from large-scale model training to enterprise RAG and real-time agentic inference. Built on NVIDIA STX's rack-scale architecture, which includes Vera Rubin, BlueField-4 processor and Spectrum-X Ethernet networking, AIStor operates as an object-native data foundation for AI factories. Running locally on the BlueField-4 processor, AIStor is designed to saturate 800GbE, delivering full network bandwidth directly to AI workloads. The platform features a distributed namespace scaling to multiple exabytes, eliminating centralised metadata bottlenecks. MinIO is joining the NVIDIA STX ecosystem as a partner for AI data platforms.