[Remote] Field Chief Technology Officer (Field CTO) – AI & Modern Data Analytics

Note: The job is a remote job and is open to candidates in USA. MinIO is a pioneering, high-performance, Kubernetes-native object storage suite. They are seeking a highly technical, visionary, and customer-centric Field CTO to act as their premier technical ambassador, bridging the gap between engineering innovation and the strategic business needs of enterprise customers.ResponsibilitiesAct 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 democratizationDesign and validate complex, large-scale architectures for enterprise customers. Guide them in integrating MinIO seamlessly into their AI/ML pipelines and modern data lakehouse ecosystemsRepresent 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 analyticsPartner 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 deploymentsServe 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 requirementsSkills10+ 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 executivesDeep 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 thisExpertise in Open Table Formats (Apache Iceberg, Apache Hudi, Delta Lake) and their integration with object storageProficiency 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 architecturesStrong command of Kubernetes, containerization, and cloud-native orchestrationDeep understanding of the AWS S3 API, RESTful APIs, and distributed systems designBenefitsHealth Care Plan (Medical, Dental & Vision)401K with 3% ContributionPre-IPO Stock OptionsAt least 12 Public HolidaysFlexible Time OffCompany OverviewMinIO delivers unmatched enterprise performance, scale, agility and economics for AI data, agentic computing, and analytics. It was founded in 2014, and is headquartered in Redwood City, California, USA, with a workforce of 201-500 employees. Its website is https://www.min.io.Company H1B SponsorshipMinIO has a track record of offering H1B sponsorships, with 3 in 2025, 5 in 2024, 1 in 2023, 5 in 2022, 2 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.