Full-Time
Enterprise Account Executive
MinIO
201-500 employees
S3-compatible object storage for AI workloads
No salary listed
Bengaluru, Karnataka, India
Remote
Bachelor's, MBA
 Sales & Account Management (1) |
|---|
Get referred to MinIO
See people who can refer or advise you
- The candidate must have at least 7 years of enterprise sales experience with consistent quota attainment of $1.5 million or more and average deal sizes of $250,000 or more.
- The candidate must have strong knowledge of storage, data infrastructure, data lakehouse, artificial intelligence and machine learning, and high-performance computing environments.
- The candidate must be able to engage technical stakeholders and translate technical concepts into business impact.
- The candidate must have a history of building co-selling strategies with channel and alliance partners.
- The candidate must be skilled at leading transformation sales by shaping buyer thinking and providing unique customer insights.
- The candidate must be able to sell against legacy storage solutions and displace entrenched vendors with a differentiated value proposition.
- The candidate must have demonstrated success in fast-paced, entrepreneurial startup environments.
- The candidate must be skilled at teaching, tailoring, and challenging customer perspectives to unlock new opportunities.
- The candidate must have deep relationships with decision-makers and influencers within the territory.
- The candidate must have presentation, negotiation, and relationship-building skills with technical and executive stakeholders.
- The candidate must have a Bachelor of Arts or Bachelor of Science degree in computer science, engineering, business, or a related field.
- The Enterprise Account Executive will actively prospect and identify enterprise opportunities, use their network and creative outreach to generate pipeline, and close high-value deals.
- The Enterprise Account Executive will articulate how MinIO delivers transformational outcomes for data infrastructure, artificial intelligence and machine learning, and high-performance computing, and translate technical capabilities into business value.
- The Enterprise Account Executive will own the full sales cycle from lead to close, focusing on opportunities of $250,000 or more and annual quota attainment of $1.5 million or more.
- The Enterprise Account Executive will position MinIO against traditional storage vendors by demonstrating the advantages of cloud-native, S3-compatible object storage for modern workloads.
- The Enterprise Account Executive will educate prospects about artificial intelligence infrastructure optimization and data architecture modernization and lead them toward strategic transformation.
- The Enterprise Account Executive will build business cases and return-on-investment models that include quantified benefits, risk mitigation, and financial justification.
- The Enterprise Account Executive will build and execute partner-led co-selling strategies with channel and alliance partners to expand territory coverage and accelerate deals.
- The Enterprise Account Executive will partner with Solutions Engineering, Product, and Marketing to deliver tailored solutions, ensure successful proofs of concept, and create a seamless customer experience.
- The Enterprise Account Executive will maintain disciplined pipeline management, accurate forecasting, and clear account strategies that support predictable and scalable revenue growth.
- An MBA is preferred.
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
Get referred to MinIO
See people who can refer or advise you
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.
Help us improve and share your feedback! Did you find this helpful?
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.