gitlab
Senior Product Designer, AI
At a Glance
- Location
- Remote, Canada; Remote, US
- Work Regime
- remote
- Posted
- 2026-03-19T11:45:39-04:00
Key Requirements
Required Skills
Requirements
A strong portfolio showing how you think and iterate, not just what shipped, ideally including AI/ML products, agentic workflows, or natural language interfaces where user control, transparency, and trust were key considerations.
Experience designing for AI workflows.
You understand the unique challenges of multi-step, agentic, or automated processes and how to design for them effectively.
A high bar for craft.
Experience conducting research and translating findings into clear, well-reasoned design decisions.
Proven ability to work iteratively in agile product development, balancing speed with quality and making smart tradeoffs without losing sight of the longer-term vision.
Responsibilities
Own the design process – Drive end-to-end design across GitLab's AI suite, from early exploration to polished execution.
Create flows, wireframes, prototypes, and high-fidelity designs that reflect strong craft and clear thinking.
Know when AI is the right solution versus a traditional approach.
Ship and iterate – Break complex AI experiences into releases that fit GitLab's cadence without sacrificing quality.
Define success criteria upfront, use evidence to drive decisions, and work closely with PM, Engineering, and Technical Writing to get things over the line.
Set the craft bar – Set quality standards through strong visual and interaction design, and provide constructive feedback that raises the level of work around you.
Team
The AI Product Design team is part of GitLab's broader UX organization, focused exclusively on creating exceptional experiences for AI-powered features across our DevSecOps platform. Our designers partner closely with AI Product Management and Engineering, as well as collaborators from across the entire product, from code creation to security scanning.
The team faces fascinating challenges: How do you design collaboration between developers and AI agents? What does trust look like in AI-assisted code review? How do you make complex AI capabilities discoverable without overwhelming users? We're pioneering design patterns that the entire industry watches and learns from.
The broader UX team values collaboration, iteration, and user empathy. Check out our
Product Design team page
and
AI Powered group page