Field Chief Technology Officer – Field CTO

Job not on LinkedIn

🔥 13 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🔴 Lead

👨‍💼 Chief Technology Officer (CTO)

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 for AI readiness and data democratization • Design and validate complex, large-scale architectures for enterprise customers • Guide 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 about object storage, generative AI, and modern analytics • Partner with enterprise sales and customer success teams on high-stakes deals • Unblock technical objections and provide strategic guidance during Proofs of Concepts and large-scale deployments • Serve as the voice of the customer to MinIO product and engineering teams • Distill market trends, customer pain points, and emerging AI/Analytics patterns into actionable product requirements

🎯 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 GPU data starvation and high-throughput storage solutions • 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 Data Lakehouse architectures and the evolution from traditional data warehouses • Strong command of Kubernetes, containerization, and cloud-native orchestration • Deep understanding of the AWS S3 API, RESTful APIs, and distributed systems design