Teams at Redpanda Data

Build and ship end-to-end analytics features for Redpanda’s Agentic Data Plane, including audit logs, transcripts, and agent network capabilities. Work across React, Go, SQL storage, PostgreSQL, streaming, Kubernetes, infrastructure, and data-serving layers. Collaborate directly with customers, iterate rapidly based on feedback, and support high-volume event storage, aggregation, and querying in a globally distributed engineering team.

Leads high-stakes enterprise technology engagements from scoping through delivery. Manages customer and internal stakeholders, project plans, resourcing, risks, escalations, scope, and executive communications. Partners with sales and solutions engineering on handoffs, ensures success criteria are documented, and develops repeatable program playbooks. Requires technical fluency in distributed systems, streaming, and data infrastructure without hands-on coding responsibilities.

Build production-grade AI agents, integrations, data pipelines, and infrastructure directly within strategic customers’ environments. Own technical delivery from design through deployment, documentation, training, and handoff. Collaborate closely with customer engineering teams, work effectively in unfamiliar codebases, and provide technical feedback to Redpanda Product and Engineering. The role requires customer-facing communication, production software expertise, and travel of 30–50% during active engagements.