Full-Time
Partner Manager
Central
Updated on 8/18/2026
MinIO
201-500 employees
S3-compatible object storage for AI workloads
No salary listed
Remote in USA
Remote
Bachelor's
 Business & Strategy (1) |
|---|
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- A bachelor's degree in Business, Engineering, Marketing, or a related field is required.
- At least 5 years of proven experience in channel partner management within the technology and storage industry, with deep experience in software-defined services, is required.
- A deep understanding of the United States market and channel dynamics is required.
- Excellent communication and interpersonal skills are required.
- Strong analytical and strategic thinking abilities are required.
- The ability to work collaboratively in a fast-paced and dynamic environment is required.
- Identify, recruit, and onboard new channel partners to expand MinIO's market presence.
- Nurture and develop existing channel relationships for mutual growth and success.
- Grow the partner-led opportunity pipeline and achieve partner-attached annual recurring revenue targets.
- Collaborate with internal teams to align channel strategies with overall business objectives.
- Develop and implement strategic plans to drive joint marketing, sales, and product initiatives with channel partners.
- Provide training and resources to channel partners to enhance their understanding of MinIO's solutions and optimize their sales capabilities.
- Collaborate with partners on go-to-market strategies and co-selling opportunities.
- Track key performance indicators to measure the success of channel partnerships.
- Analyze data and feedback to identify areas for improvement and optimize partner performance.
- Maintain an accurate pipeline and forecast of partners' MinIO business opportunities.
- Foster open communication between MinIO and channel partners to ensure a seamless and productive relationship.
- Coordinate cross-functional teams to address partner needs and resolve issues promptly.
- Collaborate closely with the sales and customer-facing teams to drive partner-attached opportunities to closure.
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'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
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%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.
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.
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.
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.
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.