[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.
Responsibilities
- 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
- 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
- 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
- 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
- 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
Skills
- 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 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
Benefits
- Health Care Plan (Medical, Dental & Vision)
- 401K with 3% Contribution
- Pre-IPO Stock Options
- At least 12 Public Holidays
- Flexible Time Off
Company Overview
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