现场首席技术官（现场 CTO）
Field Chief Technology Officer (Field CTO)
MinIO 是企业 AI 的数据和内存基础。专为满足 AI 和分析所需的高速度、规模和经济性而构建，AIStor 和 MemKV 统一了数据栈的每一层，从代理和推理上下文内存到核心、边缘和云中的表和对象。77% 的财富 100 强企业信任 MinIO，MinIO 正在重新定义 AI 工厂、智能应用和自主代理如何安全地存储并释放其数据的全部价值。
我们正在寻找一位技术精湛、有远见且以客户为中心的现场首席技术官（Field CTO），作为我们的主要技术大使。在此职位上，您将架起 MinIO 工程创新与我们最大、最复杂的企业客户战略业务需求之间的桥梁。
作为现场首席技术官，您将与企业高管（CIO、CTO、CDO）进行一对一交流，并领导与高级工程师的架构讨论。对现代 AI 架构（LLMs、RAG、深度学习流水线）和现代分析数据系统（Iceberg、Delta Lake、Trino、Spark）有深入的、实际的理解是必须的。您不仅要推广 MinIO 的能力，还要作为值得信赖的顾问，帮助组织构建支持下一代工作负载的数据基础设施。
您将负责的工作
- 高管咨询与推广：作为财富 500 强企业的高管的可信技术顾问。在 AI 准备就绪和数据民主化的背景下，阐述高性能对象存储的战略价值。
- 架构领导力：为大型企业客户设计并验证复杂的、大规模的架构。指导他们将 MinIO 无缝集成到 AI/ML 流水线和现代数据湖屋生态系统中。
- 行业思想领导力：在主要行业会议、网络研讨会和聚会中代表 MinIO。撰写技术白皮书、参考架构和博客文章，聚焦对象存储、生成式 AI 和现代分析的交叉领域。
- 销售前与售后战略支持：与企业销售和客户成功团队紧密合作处理高风险交易。在 PoC 和大规模部署期间解决技术障碍并提供战略指导。
- 产品策略反馈循环：作为客户的声音向 MinIO 的产品和工程团队传递信息。将市场趋势、客户痛点和新兴的 AI/分析模式转化为可操作的产品需求。
您的技能
查看英文原文
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
We are seeking a highly technical, visionary, and customer-centric Field CTO to act as our premier technical ambassador. In this role, you will bridge the gap between MinIO’s engineering innovation and the strategic business needs of our largest, most complex enterprise customers.
As a Field CTO, you will engage in peer-to-peer conversations with enterprise C-suites (CIOs, CTOs, CDOs) and lead architectural discussions with principal engineers. A deep, hands-on understanding of modern AI architectures (LLMs, RAG, deep learning pipelines) and modern analytics data systems (Iceberg, Delta Lake, Trino, Spark) is mandatory. You will not only evangelize MinIO’s capabilities but also act as a trusted advisor, helping organizations architect their data infrastructure to support next-generation workloads.
What You Will Do
- 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.
- 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.
- 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.
- 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.
- 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.
Your Skills and Experience
- 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).
- 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.
Modern Analytics & Data Systems:
- 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.
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.
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.