Staff Solutions Architect, AI Subject Matter Expert - GitLab

GitLab is the intelligent orchestration platform for DevSecOps, trusted by more than 50 million registered users and over 50% of the Fortune 100 to ship better, more secure software faster.

We embrace AI as a core productivity multiplier, expecting all team members to incorporate AI into their daily workflows. Join us as a Staff Solutions Architect specializing in AI and help shape the future of software development.

Role Overview

As a Subject Matter Expert (SME), you will be the deepest technical voice in the field for AI and competitive opportunities, helping our top enterprise customers make critical technical decisions on GitLab's most complex and high-value prospects. You will work directly with Product and Engineering teams to channel customer feedback into product roadmaps and mentor the wider Solutions Architecture team through reusable assets, enablement, and coaching.

What You’ll Do

• Act as the technical authority for your product group on prioritized opportunities, from discovery and architecture through trials and Proof of Value (PoV) evaluations.
• Lead technical deep dives, workshops, and executive briefings that connect product capabilities to business outcomes and differentiate GitLab from competitors.
• Design and improve standardized PoV templates with clear, repeatable success criteria.
• Equip account teams for product launches by building demos, talk tracks, and turning early customer wins into reference stories.
• Serve as the escalation point for Account SAs and Post-Sales SAs on complex product questions, integrations, and objections.
• Provide 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 in a customer-facing pre-sales context.
• Experience winning technical decisions on large enterprise opportunities through structured PoC or PoV evaluations.
• Hands-on experience with Git, CI/CD, containers, Kubernetes, and at least one major cloud provider.
• Ability to lead whiteboard sessions with engineers and present business cases to executives.
• Strong written communication skills to distill complex technical topics into clear playbooks.
• Comfort working asynchronously across time zones with Sales, Product, and Engineering.