---
title: 'Field Chief Technology Officer (Field CTO) – AI & Modern Data Analytics at MinIO'
canonical: 'https://feeny.ai/job/field-chief-technology-officer-field-cto-ai-modern-data-analytics-minio-san-byfyfzjq88fe'
type: 'job'
last_seen: '2026-09-08'
---

# Field Chief Technology Officer (Field CTO) – AI & Modern Data Analytics at MinIO

- **Company:** MinIO
- **Location:** San Francisco Bay Area, CA
- **Posted:** 2026-05-05
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/minio/jobs/5204947008

## 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.

We are seeking a highly technical, visionary, and customer-centric Field CTO to act as our premier technical ambassador. In this role, you will bridge the gap between MinIO’s engineering innovation and the strategic business needs of our largest, most complex enterprise customers.

As a Field CTO, you will engage in peer-to-peer conversations with enterprise C-suites (CIOs, CTOs, CDOs) and lead architectural discussions with principal engineers. A deep, hands-on understanding of modern AI architectures (LLMs, RAG, deep learning pipelines) and modern analytics data systems (Iceberg, Delta Lake, Trino, Spark) is mandatory. You will not only evangelize MinIO’s capabilities but also act as a trusted advisor, helping organizations architect their data infrastructure to support next-generation workloads. This role is Bay Area, CA based

## What You Will Do

- 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.

Required Qualifications

- 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.

AI & Machine Learning Architectures:

- 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.

Modern Analytics & Data Systems:

- 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 the evolution from traditional data warehouses to modern Data Lakehouse architectures.

Infrastructure & Cloud-Native Tech:

- Strong command of Kubernetes, containerization, and cloud-native orchestration.
- Deep understanding of the AWS S3 API, RESTful APIs, and distributed systems design.

## 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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