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FivetranFivetranOakland, CA

Staff Product Manager

Own the end-to-end developer experience in dbt Cloud, including the Studio IDE, AI-powered Developer Agent, Cloud CLI, and VS Code Extension. Partner closely with the Fusion team to integrate AI capabilities, drive AI-native product development, and shape IDE/tooling strategy for analytics engineers and data practitioners.

227k – 283k
Hybrid5+ YOEProduct Management

About the role

Responsibilities

  • 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.

Success Metrics

  • 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.

Requirements

  • 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.

Nice-to-Haves

  • 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.

Skills

Product ManagementDeveloper ToolsIdesAi Coding AssistantsAgentic WorkflowsVs CodeCli ToolsUser ResearchSQLFusion PlatformLspTree-Sitter
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