Chief Technology Officer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Field Chief Technology Officer (Field CTO) based in India.

• Act as a trusted technical advisor to C-level technology executives and senior engineering leaders at large enterprise organizations.
• Articulate the strategic value of high-performance object storage in supporting AI readiness, analytics, and data democratization initiatives.
• Design, validate, and communicate complex enterprise architectures supporting AI/ML pipelines and modern data lakehouse environments.
• Advise customers on integrating object storage into generative AI, RAG, analytics, and large-scale data workflows.
• Support enterprise sales and customer success teams on strategic opportunities, technical objections, Proofs of Concept, and complex deployments.
• Participate in industry conferences, webinars, meetups, and other technical forums as a technology ambassador and thought leader.
• Develop technical content such as whitepapers, reference architectures, blog posts, and presentations covering AI, object storage, and modern analytics.
• Monitor emerging AI, analytics, infrastructure, and data architecture trends and translate them into relevant customer and product insights.
• Serve as a key voice of the customer, communicating market needs, technical challenges, and opportunities to product and engineering teams.
• Help shape product strategy and roadmap priorities based on enterprise requirements and evolving technology patterns.

• 10+ years of experience in senior technical leadership roles such as Enterprise Architect, Chief Architect, VP of Engineering, Field CTO, or equivalent.
• Proven experience in customer-facing technical leadership, technical evangelism, or strategic consulting, with the ability to engage both highly technical audiences and C-level executives.
• Deep architectural knowledge of Generative AI and Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) architectures and vector databases such as Milvus, Qdrant, or Pinecone.
• Strong understanding of AI/ML data pipelines and frameworks such as PyTorch, TensorFlow, Ray, and Hugging Face.
• Knowledge of AI infrastructure bottlenecks, particularly GPU data starvation and the role of high-throughput storage in feeding AI workloads efficiently.
• Expertise in modern open table formats, including Apache Iceberg, Apache Hudi, and Delta Lake, and their integration with object storage.
• Strong knowledge of modern query engines and compute frameworks such as Trino, Presto, Apache Spark, Flink, or StarRocks.
• Solid understanding of the evolution from traditional data warehouses toward modern Data Lakehouse architectures.
• Strong command of Kubernetes, containers, and cloud-native orchestration technologies.
• Deep understanding of the AWS S3 API, RESTful APIs, and distributed systems architecture.
• Exceptional communication, presentation, advisory, and relationship-building skills.
• Ability to translate complex technical concepts into compelling business value for executive audiences.
• Strong strategic thinking, technical curiosity, and ability to operate effectively in high-stakes enterprise environments.

• Remote position based in Bengaluru, India.
• Opportunity to work with major enterprise organizations on advanced AI and analytics initiatives.
• High visibility as a technical advisor and industry thought leader.
• Exposure to cutting-edge technologies across generative AI, modern analytics, distributed systems, and cloud-native infrastructure.
• Opportunity to influence product strategy and engineering priorities through direct customer and market insights.
• Participation in industry conferences, technical events, webinars, and thought-leadership initiatives.
• Collaboration with senior technical, product, sales, and customer success teams.