Ai Product Designer Jobs (NOW HIRING)

You'll be at the forefront of shaping the future of AI-powered developer tools at GitLab. As a Senior Product Designer on the AI Product Design team, you'll help build the next generation of intelligent software development experiences, bringing rigorous design craft to some of the hardest interaction problems in the industry.

You'll own the design process end-to-end: from ambiguous early exploration through to polished, shipped experiences. You'll design intuitive interfaces for AI agents, create seamless chat experiences for developers, and establish design patterns that make advanced AI capabilities feel natural and accessible, iterating continuously as the product and technology evolve together.

Some examples of our projects:

• Duo Workflow (AI agents across the SDLC)
• Duo Chat (AI-powered DevSecOps assistant)
• AI-powered code suggestions and review tools

• 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. 
• Define strategic direction - Bring validated user evidence and a strong point of view to roadmap discussions before direction is set. Use journey maps, storyboards, and design explorations to connect day-to-day work to a longer-term vision.
• Enable the broader team - Help designers across the product understand and apply AI capabilities effectively in their own areas. Contribute AI-specific patterns to Pajamas Design System that others can build on, and share knowledge that raises the design quality of AI experiences across GitLab.
• Mentor and grow - Guide other designers in developing their skills, participate in hiring by interviewing candidates and evaluating portfolios, and share what you know generously.

• 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. You care deeply about the details of interaction and visual design, and help others raise their standards too.
• 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.
• Experience designing in complex enterprise contexts, with working knowledge of Git, HTML/CSS, accessibility best practices, and design systems.
• Excellent communication skills. You can simplify complexity, articulate design rationale clearly, and bring people along through your process.

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 page to learn more.