Senior Developer Advocate
Listed on 2026-02-28
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IT/Tech
AI Engineer, Data Science Manager, Data Analyst, Data Scientist
About Us
dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.
As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including Astra Zenica, Sky, Nasdaq, Volvo, Jet Blue, and Safety Culture.
We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:
- Reliable, high-quality data is the fuel that propels AI-powered data engineering.
- AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.
- We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.
dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.
About the TeamThe Developer Experience (DX) team at dbt Labs is a team of dbt experts on the forefront serving dbt developers and of building the next generation of dbt workflows. We partner across our internal product and go-to-market teams, as well as across the dbt Community. We operate using the PRIME framework:
Prototype, Represent, Ideate, Maintain, and Enable.
This is a senior, high-impact role focused on helping make dbt the best place for practitioners to build agentic data workloads. You will help dbt practitioners succeed with AI agents, think authoring agent skills, building reference implementations, creating enabling content, and representing the practitioner perspective as AI reshapes how data teams work. This is a dynamic and quickly change space, and as such the nature of the role will be dynamic as well.
Making dbt exceptional for agentic workflows is a focus of the entire company and the broader engineering organization. You will be joining that effort as part of the DX team, working closely with the Director of Community, DX & AI and alongside product, engineering, and go-to-market partners who are all invested in this space. Your work will shape the way that dbt users, developers and companies worldwide approach the agentic transition.
We're looking for someone who can hit the ground running — shipping meaningful work within their first two weeks.
What You Will DoThis role covers a broad charter of activities - in a given week or month you will be operating across several focus areas.
Build & Prototype- Design, build, and prototype agent workflows on top of dbt
- Create working prototypes that validate product direction and accelerate engineering iteration
- Develop evaluation frameworks and benchmarks to measure and improve agent performance on data and analytics engineering tasks
- Build tooling and example repositories that showcase AI-augmented dbt workflows
- Author technical content for the dbt Developer Blog, Guides, and documentation that makes complex AI concepts actionable for practitioners
- Create and curate deliverables (Agent Skills, MCP tools, emerging tools) that encode dbt best practices into formats consumable by AI coding agents
- Develop enablement resources for internal teams and the dbt Community
- Contribute to product launches as a subject matter expert
- Serve as a Community voice for dbt's AI capabilities across Community Slack, Git Hub, and public forums
- Collect and synthesize community feedback on AI features, surfacing insights to Product and Engineering
- Bring the practitioner perspective into product design reviews
- Identify and flag sharp edges, regressions, or gaps in the experience
- Maintain and triage dbt open source repository (dbt-agent-skills, dbt MCP) and related open source projects
- Monitor adoption, performance, and the evolving AI…
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