An overview of this role

As an AI Subject Matter Expert at GitLab, you will help shape how teams apply AI across the future of core DevOps. We designed this role for someone who combines deep technical credibility with a practical point of view on how AI can improve the software development lifecycle, from planning and coding through delivery and operations. You will work closely with customers, internal teams, and product-aligned stakeholders to bring clarity to emerging use cases, guide technical strategy, and turn ideas into grounded, real-world approaches.

We are looking for someone who doesn't just talk about possibilities, but who regularly experiments, develops informed perspectives, and can explain the tradeoffs behind modern software development patterns. Your work will help GitLab link AI innovation to the day-to-day realities of developers and platform teams.

Some examples of our projects:

• Exploring how AI can improve core DevOps workflows across the software development lifecycle
• Advising on practical approaches to automated and AI-assisted software delivery

What you’ll do

• Serve as GitLab's AI subject matter expert for core DevOps, bringing technical depth and practical guidance to customer and internal conversations.
• Partner with customers and field teams to map AI use cases to real software development lifecycle challenges and recommend approaches that improve developer productivity, delivery speed, or operational reliability.
• Develop and share informed perspectives on the future of AI in software development, including emerging concepts such as more automated delivery workflows.
• Engage with product-aligned teams to ensure your domain expertise reflects how GitLab organizes and evolves its platform capabilities.
• Evaluate and discuss architectural tradeoffs such as monoliths versus microservices and monorepos versus polyrepos in the context of AI-enabled development.
• Draw on hands-on experience with modern DevOps tooling and automation, including areas such as continuous integration and continuous delivery, to inform strategic discussions.
• Collaborate asynchronously with teammates across regions to share findings, align recommendations, and keep customer and product work moving forward.
• Contribute to a streamlined interview and collaboration culture that values clear communication, iteration, and practical results.

What you’ll bring

• Significant experience in software development, DevOps, platform engineering, solutions architecture, or a closely related technical field.
• Deep interest and hands-on experimentation in how AI is changing the software development lifecycle, especially in core DevOps workflows.
• Strong technical foundation in modern software delivery practices, including automation, continuous integration and continuous delivery, and cloud-native or platform-oriented environments.
• Ability to speak thoughtfully about architectural and operational tradeoffs, including Kubernetes, monolithic versus microservices architectures, and monorepo versus polyrepo approaches.
• Experience guiding technical strategy with customers, internal stakeholders, or engineering teams in a way that is practical rather than purely theoretical.
• Clear communication skills with the ability to explain complex technical ideas to different audiences.
• Comfort working effectively with minimal oversight as a manager of one in a remote, asynchronous environment while staying closely aligned with a global team.
• Openness to candidates from different backgrounds, including practitioners, senior solutions architects, or technical experts with transferable expertise in AI and DevSecOps.

About the team

The AI subject matter expert joins a small global team within GitLab's Solutions Architecture organization that provides deep domain expertise aligned to GitLab's product areas. We are built to link fast-moving AI innovation with the realities of customer environments and modern software delivery. Rather than staying at a high level, we focus on practical technical depth and help translate emerging ideas into useful guidance.

This role is specifically aligned to core DevOps, alongside peers focused on other areas such as platforms and security and compliance. We work across regions and collaborate closely with product-aligned functions, making this a strong fit for someone who enjoys working across technical boundaries while staying grounded in hands-on knowledge. Our challenge is to keep pace with rapid change in AI while remaining clear, credible, and useful to the people building and operating software every day.

For more on how GitLab works, see the GitLab Handbook.

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