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About the Role
The way data practitioners write, debug, and ship dbt code is changing fast — and you'll be the person shaping what that experience looks like at the frontier of AI-assisted development.
As the Product Manager for Developer Experience, you will own the end-to-end developer workflow in dbt Cloud: the Studio IDE, Developer Agent (our AI coding assistant), the Cloud CLI, and the dbt VS Code Extension. Together, these surfaces are the primary daily touchpoint for tens of thousands of data practitioners worldwide — from seasoned analytics engineers writing complex SQL to newer practitioners who rely on AI to help them move faster and with more confidence.
This role sits at the intersection of developer tooling and leading-edge AI. You will work in close partnership with the Fusion team — the engine powering dbt's next-generation compilation, intelligence, and platform capabilities — to ensure that our developer surfaces fully leverage Fusion's capabilities and that developer needs are represented in the Fusion roadmap. The tight feedback loop between Developer Experience and Fusion is core to how dbt Cloud will evolve, and you'll be a key architect of that relationship.
This is a role for someone who has thought deeply about what makes IDEs and developer tools great, and who is excited to reimagine those workflows in an era where AI can lower the floor for new practitioners while raising the ceiling for experts.
In This Role, You Will
- Own the developer experience roadmap across Studio IDE, Developer Agent, Cloud CLI, and the VS Code Extension — from near-term iteration to long-term vision.
- Partner deeply with the Fusion team to align on capabilities, surface Fusion-powered intelligence (SQL comprehension, compute, context) through developer-facing UX, and co-define the boundary between platform and product.
- Lead AI-native product development for Developer Agent — defining what a best-in-class AI coding assistant looks like for the full spectrum of dbt users, from expert analytics engineers to practitioners who are newer to code. This includes agentic workflows, context-aware suggestions, natural language interactions, and guided development experiences that meet users where they are.
- Drive IDE and tooling strategy informed by a deep understanding of modern development environments — think about what VS Code, Cursor, and other leading IDEs get right, and translate those instincts to the dbt Cloud context.
- Define and execute cross-functional collaboration with engineering, design, and GTM teams to ship high-quality developer experiences on a predictable cadence.
- Build tight feedback loops with the dbt community and enterprise customers to continuously improve developer tools, with particular attention to power users and technical practitioners.
- Conduct market and user research to understand the competitive landscape for developer tooling and AI-assisted development, and bring sharp external perspective into the roadmap.
- Align developer experience investments to broader company goals, product-led growth metrics, and the Fusion platform strategy.
What Success Looks Like
- Developer satisfaction and engagement metrics (activation, session depth, feature adoption) trending up across Studio, Canvas, CLI, and Developer Agent.
- Developer Agent is a differentiated, well-regarded AI coding experience for data practitioners — not just a feature, but a product.
- The Studio IDE and Canvas deliver a cohesive, fast, and intelligent development workflow powered by Fusion capabilities.
- Strong, trust-based execution partnership with the Fusion team: shared roadmap visibility, clear API contracts, and coordinated shipping.
- The Cloud CLI is a first-class product that developers actively choose, not a fallback.
You're a Good Fit If You Have
- 5+ years of product management experience, with meaningful time spent on developer tools, IDEs, or technical platforms.
- Direct experience managing IDE or developer environment products — you have an informed point of view on what makes development tools excellent and where modern IDEs fall short.
- Demonstrated engagement with AI-powered development tools — you've used, studied, and formed strong opinions about AI coding assistants (Copilot, Cursor, Devin, etc.) and how they change the development experience.
- A strong technical foundation that allows you to work fluently with engineering partners, reason about system architecture, and contribute meaningfully to technical decisions.
- Experience conducting user research and translating developer feedback into prioritized, scoped product work.
- Excellent written and verbal communication — you can write a crisp spec, give a compelling demo, and synthesize complex tradeoffs for diverse audiences.
- Comfort working asynchronously as part of a distributed, remote team.
You'll Have an Edge If You Have
- Hands-on experience with dbt or similar SQL-first transformation frameworks.
- Prior experience building or shipping AI agent features (agentic UX, multi-step LLM workflows, context management).
- Familiarity with LSP (Language Server Protocol), tree-sitter, or other IDE infrastructure primitives.
- Experience with CLI tooling and developer workflow automation.
- Background in open source software development or strong engagement with developer communities.
- Knowledge of modern data warehouses (Snowflake, BigQuery, Databricks, Redshift, etc.) and the analytics engineering ecosystem.
