Senior Developer Experience Advocate

dbt Labs

About The Position

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.

Requirements

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 Haves

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

Responsibilities

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, 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 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