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, JetBlue, and SafetyCulture.
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 Team
The 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.
About the Role
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 Do
This 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
Ship & Enable
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
Represent & Advocate
Serve as a Community voice for dbt's AI capabilities across Community Slack, GitHub, 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 & Steward
Maintain and triage dbt open source repository (dbt-agent-skills, dbt MCP) and related open source projects
Monitor adoption, performance, and the evolving AI agent ecosystem
Contribute code and design reviews with an eye toward developer ergonomics
What We Are Looking For
Required
5+ years of experience in analytics engineering, data engineering, or a closely related field with hands-on dbt expertise
Demonstrated experience building with and for AI coding agents
Strong data and software engineering fundamentals, including comfort with Python and SQL and the ability to contribute to open source codebases
Excellent written and verbal communication skills with a track record of creating technical content (blog posts, documentation, talks, tutorials)
Deep familiarity with the dbt Community, its norms, and its pain points
Ability to work autonomously and context-switch across prototyping, writing, community engagement, and code review
Strong product sense and the ability to translate user needs into concrete product feedback and design recommendations
Excitement about helping define the next era of dbt workflows using dbt
Nice to Have
Background in developer relations, developer experience, or developer advocacy at a developer tools company
Deep fluency with the rapidly evolving AI agent ecosystem — you stay on top of how agents, tooling, and workflows are changing week to week
Contributions to open source projects in the dbt ecosystem (packages, adapters, community tools)
Experience designing and running benchmarks or evaluations for AI/LLM performance
Public speaking experience at data or developer conferences (e.g., Coalesce, dbt Community events)
Experience with the dbt Fusion engine, including familiarity with its architecture, capabilities
Compensation & Benefits
Salary:We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs' total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, Austin), an alternate range may apply, as specified below.
The typical starting salary range for this role is: $137,000 - $175,600 USD
The typical starting salary range for this role in the select locations listed is: $152,000 - $190,000 US
Equity Stake
Benefits - dbt Labs offers:
Unlimited vacation (and yes we use it!)
401k w/3% guaranteed contribution
Excellent healthcare
Paid Parental Leave
Wellness stipend
Home office stipend, and more!
*Equity or comparable benefits may be offered depending on the legal limitations
If you’re passionate about building well-designed, high-impact software, we’d love to hear from you!
dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.
dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. RSUs or comparable benefits may be offered depending on the legal or country limitations.
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