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As a Senior Product Designer at dbt Labs, you’ll play a critical role in shaping the future of data discovery, metadata management, and analytics governance for the modern data stack. You will lead design efforts for our Catalog and Insights products, creating intuitive experiences that make complex data relationships understandable and actionable for analytics engineers, data practitioners, and business users alike.
Job Responsibility:
Lead the design for high-impact initiatives such as: Enhanced Search: Re-imagining how users find and filter data assets across large organizations
Catalog as Governance Interface: Designing accessible, intuitive tools for data classification and compliance
BI Integration & Extended Lineage: Visualizing data flow from source to dashboard
Cost Insights: Helping data teams understand and optimize warehouse spend
Conduct user research and apply insights to guide design decisions
Prototype, test, and iterate quickly to validate solutions with real users
Collaborate closely with PMs, engineers, and other designers to deliver cohesive, accessible experiences
Contribute to our design system and help improve design consistency across products
Mentor junior designers and participate in team critiques to strengthen our design culture
Requirements:
5+ years of product design experience creating complex B2B or enterprise tools
A strong portfolio that clearly communicates your design process, decisions, and outcomes
Experience working in an iterative design process with rapid prototyping and testing
The ability to conduct your own user research and apply insights directly to your design work
Strong collaboration skills and a low-ego approach to teamwork
The ability to manage ambiguity and prioritize effectively
Familiarity with the modern data ecosystem or experience working with data-focused teams
Nice to have:
Experience designing interfaces for data discovery or catalog systems (metadata browsing, lineage visualization, data asset search)
An understanding of data governance concepts such as ownership, sensitivity, and classification
Familiarity with enterprise data ecosystems and how analysts, engineers, and governance teams collaborate
A basic understanding of front-end development principles (HTML, CSS)
Experience with product analytics tools, dbt, or data engineering workflows
Awareness of accessibility best practices for technical products
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