Field Chief Technology Officer (Field CTO)

Accountabilities:

• • 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.

  Requirements:

  • 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.

  Benefits:

  • 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.