Full-Time

Field Chief Technology Officer

Field CTO, AI & Modern Data Analytics

MinIO

MinIO

201-500 employees

S3-compatible object storage for AI workloads

No salary listed

Remote in USA

Remote

Category
Data & Analytics (1)
Required Skills
LLM
Kubernetes
Pinecone
Tensorflow
Pytorch
Apache Spark
Docker
RAG
REST APIs
Requirements
  • 10+ years of experience in technical leadership roles (e.g., Enterprise Architect, Chief Architect, VP of Engineering, or previous Field CTO)
  • Demonstrated experience in a customer-facing or evangelist capacity, successfully presenting to both highly technical audiences and C-level business executives
  • Deep architectural understanding of Generative AI and Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) workflows and vector databases (e.g., Milvus, Qdrant, Pinecone)
  • Strong knowledge of AI/ML data pipelines and frameworks (PyTorch, TensorFlow, Ray, Hugging Face)
  • Understanding of hardware bottlenecks in AI, specifically the challenge of feeding data to GPUs (GPU data starvation) and how high-throughput storage solves this
  • Expertise in Open Table Formats (Apache Iceberg, Apache Hudi, Delta Lake) and their integration with object storage
  • Proficiency with modern query engines and compute frameworks (Trino, Presto, Apache Spark, Flink, StarRocks)
  • Solid grasp of evolution from traditional data warehouses to modern Data Lakehouse architectures
  • Strong command of Kubernetes, containerization, and cloud-native orchestration
  • Deep understanding of the AWS S3 API, RESTful APIs, and distributed systems design
Responsibilities
  • Executive Advisory & Evangelism: Act as a trusted technical advisor to C-level executives at Fortune 500 companies. Articulate the strategic value of high-performance object storage in the context of AI readiness and data democratization.
  • Architectural Leadership: Design and validate complex, large-scale architectures for enterprise customers. Guide them in integrating MinIO seamlessly into their AI/ML pipelines and modern data lakehouse ecosystems.
  • Industry Thought Leadership: Represent MinIO at major industry conferences, webinars, and meetups. Write technical whitepapers, reference architectures, and blog posts focusing on the intersection of object storage, generative AI, and modern analytics.
  • Pre-Sales & Post-Sales Strategic Support: Partner closely with enterprise sales and customer success teams on high-stakes deals. Unblock technical objections and provide strategic guidance during Proof of Concepts (PoCs) and large-scale deployments.
  • Product Strategy Feedback Loop: Serve as the "voice of the customer" to MinIO’s product and engineering teams. Distill market trends, customer pain points, and emerging AI/Analytics patterns into actionable product requirements.

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

Simplify Jobs

Simplify's Take

What believers are saying

  • Agentic AI adoption accelerating demand for unified structured and unstructured data stores.
  • Government sector expansion via Four Inc. partnership accessing NASA SEWP V contracts.
  • Hybrid cloud data access without replication costs addresses enterprise on-premises exascale pain.

What critics are saying

  • AWS S3 Tables erodes MinIO's 40% cost advantage within 12–18 months via pricing power.
  • AGPL v3 licensing blocks Fortune 500 adoption as competitors offer permissive alternatives.
  • NVIDIA STX ecosystem lock-in enables NVIDIA to bundle competing storage or acquire vendor.

What makes MinIO unique

  • First to integrate Apache Iceberg V3 Catalog REST API natively into object storage platform.
  • MemKV microsecond context retrieval increases GPU utilization from 50% to 90% in production.
  • Cash flow positive with 149% ARR growth over two years without dilutive funding.

Help us improve and share your feedback! Did you find this helpful?

Your Connections

People at MinIO who can refer or advise you

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

3%

2 year growth

3%
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.

CNBC
Mar 3rd, 2026
MinIO partners with Databricks to eliminate cloud replication costs while remaining cash flow positive

MinIO co-CEO Garima Kapoor has announced a partnership with Databricks that enables direct data reads from on-premise infrastructure, eliminating the need for costly cloud replication. The company specialises in object storage solutions. Kapoor revealed that MinIO is cash flow positive and has not touched its 2022 funding round. She noted that AI coding tools have made every engineer "100 times" more productive at the company. The partnership addresses a key challenge for enterprises managing data across hybrid cloud environments by allowing seamless access without duplicating storage costs.

The Associated Press
Mar 3rd, 2026
MinIO launches AIStor table sharing for on-prem Databricks data access

MinIO has launched AIStor Table Sharing, enabling enterprises to share on-premises data directly with Databricks for real-time analytics without data movement. The capability natively integrates Databricks' Delta Sharing open protocol into MinIO's object storage. The feature addresses challenges enterprises face when massive datasets remain on-premises due to scale, performance, cost and data sovereignty requirements. Previously, making such data available to Databricks required complex pipelines and duplicate datasets, causing delays and increased costs. Built on AIStor Tables with Iceberg V3 support, the solution works with both Delta and Apache Iceberg tables. It allows data to be accessed where it lives whilst maintaining governance and security. AIStor Table Sharing is now generally available with MinIO AIStor across manufacturing, financial services, energy, retail and logistics sectors.

PR Newswire
Feb 19th, 2026
QBO Cloud and MinIO partner to deliver enterprise object storage for AI and analytics workloads

QBO Cloud, which converts bare metal into cloud platforms, has announced a collaboration with MinIO to deliver enterprise-grade object storage for AI and analytics workloads. The partnership combines QBO Cloud's agility with MinIO's high-performance object storage platform, AIStor. The joint solution enables customers to deploy S3-compatible object storage on QBO Cloud's infrastructure, designed for compliance and cost efficiency. The integration allows organisations to manage data across environments whilst simplifying governance and accelerating development cycles. "Our collaboration with MinIO gives customers the freedom to deploy object storage that's cloud-native, high-performance, and cost-efficient," said Jason Dance, co-founder and COO of QBO Cloud. The solution is available immediately through both companies' partner channels.