Field Chief Technology Officer - Field CTO
Jobtailor
- Act as a trusted technical advisor to C-level executives at Fortune 500 companies and 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 customers in integrating 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 PoCs 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 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
Core Competencies
Demonstrates extensive expertise in designing and validating large-scale architectures for AI readiness, with a strong focus on object storage and data lakehouse ecosystems. Proven ability to communicate complex technical concepts to C-level executives and guide enterprise customers through AI/ML integration.
Highest-signal resume keywords
- Technical Leadership
- Generative AI Expertise
- AI/ML Data Pipelines
- Object Storage Integration
- Customer-Facing Evangelism
ATS Optimization Keywords
Hard Skills
- Generative AI
- Large Language Models
- AI/ML Frameworks
- Open Table Formats
- Kubernetes
- AWS S3 API
- Distributed Systems Design
- Data Lakehouse Architectures
- High-Throughput Storage Solutions
- Modern Query Engines
Soft Skills
- Strategic Guidance
- Technical Presentation
- Customer Advocacy
Industry Keywords
- C-Level Engagement
- Data Democratization
- AI Readiness
- Market Trends
- Customer Pain Points
Tools & Technologies
- MinIO
- PyTorch
- TensorFlow
- Ray
- Hugging Face
- Apache Iceberg
- Apache Hudi
- Delta Lake
- Trino
- Apache Spark
Vacancy posted 1 day ago
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