dbt Labs

This role focuses on building and scaling an AI program for Go-to-Market (GTM) automation at dbt Labs. The engineer will design, implement, and deploy AI agents and capabilities to improve GTM productivity, automate tasks like account research and outreach, and drive revenue growth. The role involves full lifecycle ownership from identifying inefficiencies to shipping and iterating on AI solutions, using tools like Clay, Glean, Claude, and LLM APIs.

Product Manager for Developer Experience at dbt Labs, focusing on AI-assisted development tools like the Developer Agent, Studio IDE, Cloud CLI, and VS Code Extension. The role involves owning the roadmap, partnering with the Fusion team, leading AI-native product development, and driving IDE strategy in collaboration with engineering, design, and GTM teams. Success is measured by developer satisfaction, engagement, and the success of the Developer Agent as a product.

Staff Software Engineer role focused on building autonomous and assisted agents that operate across the Analytics Development Life Cycle (ADLC). The agents will reason over enterprise context, act on data products, and improve the system over time through decision memory. Responsibilities include designing and implementing agents for various ADLC stages, orchestrating agent workflows, integrating with existing systems, and encoding governance policies.

Manager for the AI Platform Team, responsible for building the Agentic Platform that powers internal AI features and external AI integrations. The role involves architecting the "Agent-First" Experience, defining dbt MCP Strategy, and bridging platform and product for agentic use cases. Requires experience in people management, agentic architectures, APIs, and software engineering fundamentals in an AI context.