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

Remote - US - Hybrid+ Equity3d ago

In Office C-level NA Cloud Computing Artificial Intelligence CTO VP of Engineering Apache Spark Product Marketing Milvus Qdrant Pinecone Hugging Face Ray Vector Kubernetes AWS Enterprise Sales Customer Success

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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. • 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). • Generative AI and Large Language Models (LLMs) • Strong knowledge of AI/ML data pipelines and frameworks (PyTorch, TensorFlow, Ray, Hugging Face). • AI/ML data pipelines • 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. • Open Table Formats • Proficiency with modern query engines and compute frameworks (Trino, Presto, Apache Spark, Flink, StarRocks). • modern query engines and compute frameworks • 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.

Responsibilities

• 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. • Executive Advisory & Evangelism: • 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. • Architectural Leadership: • 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. • Industry Thought Leadership: • 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. • Pre-Sales & Post-Sales Strategic Support: • 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. • Product Strategy Feedback Loop:

Benefits

• 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.