Build reliable infrastructure for an agent-first data platform—ETL pipelines, Trino clusters, and systems that let AI agents spin up infrastructure autonomously.

Build the semantic layer and guardrails that let AI agents query enterprise data correctly, enabling trustworthy AI-generated analytics.

Own EU-hours on-call and reliability for an agentic data platform—observability, incident response, capacity planning, and chaos engineering.

Design end-to-end interfaces for AI-powered enterprise data analytics, shaping how humans and AI agents collaborate on complex data problems.

Build across the entire stack—frontend, backend, infrastructure—for an agentic data lakehouse powering enterprise analytics.

Build a greenfield OLAP lakehouse for the agentic era, optimizing query execution for AI-driven workloads at enterprise scale.