Field Chief Technology Officer – AI, Modern Data Analytics

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🕒 May 5

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Illumination Systems Arizona

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1937

👥 B2C

🛍️ eCommerce

🛒 Retail

B2C • eCommerce • Retail

Illumination Systems Arizona is a company based in Arizona currently preparing its online presence, as indicated by its 'Under Construction' webpage. Alongside this, the site provides related searches for services such as mortgage rates and vacation packages, suggesting a focus on consumer services in the local area.

📋 Description

• 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.

🎯 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 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