Senior Product Design Manager AI @ GitLab
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Job Details
Overview
GitLab is an open-core software company that develops an AI-powered DevSecOps Platform used by over 100,000 organizations. The mission is to enable everyone to contribute to the software that powers our world. As the Senior Product Design Manager AI, you will shape the future of AI-powered developer tools at GitLab.
Role Responsibilities
You will lead and mentor a team of 5 AI Product Designers while working closely with Product Management, Engineering, UX Research, and Technical Writing teams. Key responsibilities include:
- Setting and executing the design strategy for AI products.
- Establishing design standards and best practices for AI-powered experiences.
- Guiding user research and usability testing for complex AI interactions.
- Collaborating with cross-functional teams to integrate AI into developer tools.
- Presenting design strategies and outcomes to executive leadership.
Projects You Will Work On
Examples include Duo Workflow, Duo Chat, and AI-powered code suggestions and review tools that enhance the software development lifecycle.
Qualifications
The ideal candidate has experience in product design and managing design teams. You should have a record of leading design for AI/ML products, a strong understanding of DevSecOps and SDLC, and proven skills in cross-functional collaboration.
Team & Culture
You will join GitLab’s UX organization, fostering a culture of user-centered design thinking and continuous knowledge exchange, where every voice is valued.
Benefits & Compensation
GitLab offers flexible paid time off, equity compensation, home office support, and many other benefits. The base salary for US residents ranges from $155,000 to $240,000 USD.
Key Skills/Competency
AI, Product Design, DevSecOps, UX, User Research, Engineering, Design Strategy, Mentorship, Collaboration, Innovation
How to Get Hired at GitLab
🎯 Tips for Getting Hired
- Research GitLab's culture: Study GitLab's mission, values, and recent news.
- Customize your resume: Tailor it to highlight AI product design experience.
- Prepare project examples: Highlight leadership in AI/ML product projects.
- Practice interview insights: Focus on design strategy and team management.