Field Chief Technology Officer (Field CTO)
J
JobgetherAI and Data Infrastructure
IndiaFull-TimeExecutive
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 10+ years
- Required Skills
- KubernetesPyTorchSparkTensorflowGenerative AIDistributed Systems
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.
- Deep architectural knowledge of Generative AI and Large Language Models (LLMs), including RAG and vector databases (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 and high-throughput storage.
- Expertise in modern open table formats, including Apache Iceberg, Apache Hudi, and Delta Lake.
- 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.
- Deep understanding of the AWS S3 API, RESTful APIs, and distributed systems architecture.
- Exceptional communication, presentation, advisory, and relationship-building skills.
Responsibilities
- 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.
View Full Description & ApplyYou'll be redirected to the employer's site
