Staff Solutions Architect, AI Subject Matter Expert - GitLab

About GitLab

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact.

An Overview of This Role

As a Subject Matter Expert (SME), you'll be the deepest technical voice in the field for one product group, helping customers make technical decisions on GitLab's most important opportunities, roughly the top 10% by size or complexity.

You'll specialize in one product group. In AI & Competitive, you'll focus on GitLab Duo Agent Platform, agentic workflows, AI-native development, competitive displacement including GitHub, and migrations.

Your success will be measured by technical win rate and bookings on SME-engaged opportunities, product-category commit attainment and consumption growth in your region, and Proof of Value (PoV) conversion rate, evaluation cycle time, and time from technical win to production use.

What You’ll Do

• Act as the technical authority for your product group on prioritized opportunities, from discovery and architecture through trials and PoV evaluations.
• Lead technical deep dives, workshops, and executive briefings that connect product capabilities to business outcomes and explain how GitLab differs from competing solutions.
• Design and improve standardized PoV templates with clear, repeatable success criteria.
• Equip account teams for product launches with Product Management and Product Marketing by building demos, talk tracks, and turning early customer wins into reference stories.
• Serve as the escalation point for Account SAs and Post-Sales Solutions Architects on complex product questions, integrations, and objections.
• Bring structured field feedback, competitive insights, and customer requirements to Product Management and Engineering.
• Build reference architectures, demo environments, competitive battlecards, PoV playbooks, and enablement content.

What You’ll Bring

• Substantial experience in technical pre-sales, solutions architecture, consulting, or software engineering, with deep, hands-on expertise in production AI-assisted development, working prototypes, and competitive evaluations.
• Practical expertise in agentic and AI-assisted development workflows across planning, coding, testing, security, and delivery.
• Experience winning technical decisions on large, complex enterprise opportunities through structured Proof of Concept (PoC) or PoV evaluations.
• Hands-on experience with Git, CI/CD, containers, Kubernetes, and at least one major cloud provider.
• The ability to lead a whiteboard session with engineers and present the business case to executives in the same meeting.
• Strong written communication, including the ability to turn complex topics into clear playbooks.
• Comfort working asynchronously across time zones with Sales, Product, and Engineering.