4 hours ago
Remote, United KingdomStaff+
Responsibilities
- Advise enterprise C-suite executives on AI readiness, data democratization, and high-performance object storage.
- Design and validate large-scale customer architectures integrating MinIO with AI/ML pipelines and data lakehouse ecosystems.
- Support enterprise sales and customer success teams during high-stakes deals, proofs of concept, and deployments.
- Represent MinIO at conferences, webinars, and meetups and create whitepapers, reference architectures, and blog posts.
- Translate customer needs, market trends, and emerging AI and analytics patterns into product and engineering feedback.
Requirements
- 10+ years of experience in technical leadership roles such as Enterprise Architect, Chief Architect, VP of Engineering, or Field CTO.
- Experience in customer-facing or evangelist roles presenting to technical audiences and C-level business executives.
- Deep understanding of generative AI, LLMs, RAG workflows, vector databases, and AI/ML data pipelines.
- Strong knowledge of PyTorch, TensorFlow, Ray, Hugging Face, and the challenges of feeding data to GPUs.
- Expertise with Apache Iceberg, Apache Hudi, Delta Lake, object storage, Trino, Presto, Apache Spark, Flink, and StarRocks.
- Understanding of data lakehouse architectures and the transition from traditional data warehouses.
- Strong command of Kubernetes, containerization, cloud-native orchestration, the AWS S3 API, RESTful APIs, and distributed systems design.
Tech Stack
Categories
Solutions Engineering
About MinIO
MinIO builds high-performance, S3-compatible object storage and related data systems for enterprises running data lakes, analytics, and AI across on‑prem, edge, and cloud environments. It monetizes through enterprise subscriptions and support on top of its open-source software, and offers products such as AIStor and MemKV for AI and memory-centric workloads. Founded in 2014 and headquartered in Redwood City, California, it is privately held.