Lead the dbt product design team
You will manage and coach a team of product designers who work across dbt platform and CLI-based products. Designers own the full design process from problem definition and research to UX/UI and partnering with eng/PM through delivery. You will build a culture where designers feel supported, challenged, and empowered to do thoughtful, high-quality work for deeply technical users. You will set clear expectations, give actionable feedback, support career growth, and create the conditions for strong design craft.
You will define and drive UX strategy across dbt’s product experience. You will identify the highest-impact experience opportunities, connect design priorities to product outcomes, and partner with Product and Engineering leadership as a strategic peer in roadmap and product direction conversations.
Provide design direction for technical data products
You will set direction for design work across complex workflows used by technical practitioners. You do not need to be an engineer, but you do need enough technical fluency to understand the domain, evaluate tradeoffs, and partner credibly with engineering leaders. You should be comfortable discussing data workflows, ELT, analytics engineering, developer tools, and infrastructure-oriented product experiences.
Shape AI and agentic product experiences
You will lead design strategy for AI-powered and agentic experiences within dbt. This requires more than adding AI features to existing workflows. You will help the team design systems that make AI assistance understandable, useful, and safe for high-stakes technical work. As dbt builds experiences where both humans and AI agents interact with the same data infrastructure, you will also think about how product surfaces need to work for both personas.
Help integrate Fivetran and dbt Labs design
You will play an important role in co-creating a unified product experience and design culture. This is a change-leadership role. You will partner with the Director of Product Design to merge systems, processes, and culture. You will help designers navigate a new organizational context, build strong cross-functional relationships, and create clarity during a period of product and company evolution.
Build an AI-native design operating model
You will operationalize AI across the design lifecycle (from research synthesis and ideation to prototyping, documentation, and design QA). You will establish shared workflows, quality standards, and review practices that help the team move faster without compromising product quality or consistency. In partnership with the Director of Product Design and Product and Engineering leadership, you will also define cross-functional standards for when AI-generated work requires design review, ensuring clear expectations for human oversight, quality, and continuous improvement.