Field Chief Technology Officer – Field CTO

🕒 September 9

🇬🇧 United Kingdom – Remote

⏰ Full Time

🔴 Lead

👨‍💼 Chief Technology Officer (CTO)

👻 Ghost score 36%

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MinIO

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

💼 Consulting

📦 Logistics

🤖 Artificial Intelligence

💰 $103.9G Series B on 2022-01

Consulting • Logistics • Artificial Intelligence

MinIO is a high-performance, open-source object storage server designed for AI scale. It focuses on providing a software-defined solution that can run on any infrastructure, offering enterprise-grade features such as replication, security, and IAM. MinIO's AIStor is designed to enable enterprises to consolidate their data into a single, private cloud with high compatibility with S3 protocols. The company aims to simplify data storage infrastructure with benefits like reduced costs and increased performance, particularly in AI and big data scenarios. MinIO also supports integrations with a variety of platforms and technologies, including VMware and Snowflake, and is widely deployed across distributed infrastructures for building modern data lakehouses and hybrid cloud architectures.

📋 Description

• Act as a trusted technical advisor to C-level executives at Fortune 500 companies • Articulate the strategic value of high-performance object storage for AI readiness and data democratization • Design and validate complex, large-scale architectures for enterprise customers • Guide integration of MinIO into AI/ML pipelines and modern data lakehouse ecosystems • Represent MinIO at industry conferences, webinars, and meetups • Write technical whitepapers, reference architectures, and blog posts about object storage, generative AI, and modern analytics • Partner with enterprise sales and customer success teams on high-stakes deals • Unblock technical objections and provide strategic guidance during Proofs of Concepts and large-scale deployments • Serve as the voice of the customer to MinIO product and engineering teams • Distill market trends, customer pain points, and emerging AI/Analytics patterns into actionable product requirements

🎯 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 GPU data starvation and high-throughput storage solutions • 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 Data Lakehouse architectures and the evolution from traditional data warehouses • Strong command of Kubernetes, containerization, and cloud-native orchestration • Deep understanding of the AWS S3 API, RESTful APIs, and distributed systems design

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