Teams at Vectara

Own and improve infrastructure for a deploy-anywhere AI platform across AWS, GCP, and on-premises environments. Build Terraform and Helm infrastructure, manage Kubernetes clusters, CI/CD pipelines, GitOps workflows, observability, and ML inference workloads. Contribute to backend services in Java and Python, support enterprise deployments, improve reliability and scalability, and participate in on-call operations.

Serve as the technical sales and customer-facing expert for an AI platform. Responsibilities include conducting product demonstrations, supporting proofs of concept, advising on architecture and development, planning professional services projects, tuning retrieval and agentic pipelines, responding to RFPs, supporting customer adoption, and communicating product feedback internally. The role requires strong AI, cloud, on-premise, application development, storytelling, and enterprise customer engagement experience.

Lead product strategy and execution for Vectara’s enterprise AI platform. Own the roadmap, customer discovery, competitive intelligence, packaging, pricing, product definition, and market positioning. Coordinate Product, Engineering, ML, Sales, Marketing, and Field Engineering to deliver successful launches and customer outcomes. Represent the company in customer meetings, analyst relations, and field marketing events while translating market needs into differentiated product initiatives.