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MinIO

S3-compatible object storage for AI workloads

Field Chief Technology Officer

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-timeCalifornia, USA

About the Job

Requirements

  • At least 10 years of experience in technical leadership roles, such as Enterprise Architect, Chief Architect, VP of Engineering, or Field CTO.
  • Demonstrated customer-facing or evangelist experience, including presenting to technical audiences and C-level business executives.
  • Deep architectural understanding of generative AI and large language models, including Retrieval-Augmented Generation workflows and vector databases such as Milvus, Qdrant, and Pinecone.
  • Strong knowledge of AI/ML data pipelines and frameworks, including PyTorch, TensorFlow, Ray, and Hugging Face.
  • Understanding of AI hardware bottlenecks, including GPU data starvation and how high-throughput storage addresses it.
  • Expertise in open table formats, including Apache Iceberg, Apache Hudi, and Delta Lake, and their integration with object storage.
  • Proficiency with modern query engines and compute frameworks, including Trino, Presto, Apache Spark, Flink, and StarRocks.
  • Solid grasp of the 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

  • Act as a trusted technical advisor to C-level executives at Fortune 500 companies and 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, guiding 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 on object storage, generative AI, and modern analytics.
  • Partner with enterprise sales and customer success teams on high-stakes deals, resolve technical objections, and provide strategic guidance during proofs of concept and large-scale deployments.
  • Represent the customer perspective to MinIO product and engineering teams, translating market trends, customer pain points, and emerging AI and analytics patterns into actionable product requirements.

About the Company

MinIO

S3-compatible object storage for AI workloads

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, CA
Founded
2014

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