Senior Professional Services, Forward Deployed Engineer

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. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Professional Services Forward Deployed Engineer at GitLab, you'll be an embedded GitLab Duo Agent Platform expert who helps customers move from ideas to production. You'll work directly with customer teams as a consultative partner, running in-depth discovery to understand their environment and priorities, then designing and delivering solutions that connect business goals to architecture and implementation. This is a deeply technical, customer-facing role where you'll build and deploy Custom Agents, Custom Flows, and CI/CD integrations. You'll own delivery end-to-end, from prototype through production support. You'll partner closely with Professional Services and Customer Success stakeholders, including Professional Services Engineers, Project Managers, Customer Success Managers, and Solution Architects. You'll also measure and communicate impact using customer-aligned success criteria and analytics, and you'll help codify repeatable deployment patterns and lessons learned into reusable assets and product feedback. This role reports to the Senior Manager, Technical Architects, and you'll travel for customer site engagements and company onsite events. Some examples of our projects • Leading customer discovery and defining a prioritized GitLab Duo Agent Platform use case roadmap tied to clear success criteria • Designing and delivering production-ready GitLab Duo Agent Platform implementations, including Custom Agents, Custom Flows, and CI/CD integrations • Building rapid prototypes to demonstrate the art of the possible with agentic AI and iterating based on customer feedback • Integrating the GitLab Duo Agent Platform with customer systems and workflows using GitLab APIs, pipeline configuration, and infrastructure as code • Establishing AI governance and security controls (for example, role-based access control, model selection policies, and enterprise compliance requirements) • Measuring and communicating impact using DORA (DevOps Research and Assessment) metrics, AI Impact Analytics dashboards, and Value Stream Analytics, then translating what we learn into reusable patterns and product feedback What you'll do • Conduct deep customer discovery to understand business goals, technical constraints, and organizational dynamics, and translate them into clear problem statements and a prioritized use case plan for GitLab Duo Agent Platform. • Partner with customer stakeholders across engineering, security, compliance, and business teams to align on success criteria, milestones, and adoption strategy for AI workflows in production. • Design, build, and deploy production-ready GitLab Duo Agent Platform solutions, including Custom Agents, Custom Flows, and CI/CD integrations that map to validated customer use cases. • Embed with customer engineering teams to deliver hands-on implementations end-to-end, from prototype to production rollout, troubleshooting, and optimization. • Configure and integrate platform foundations such as runners, network access, runtime sandboxing, GitLab APIs (REST and GraphQL), and AI governance controls (for example, role-based access control and model policies) to meet enterprise requirements. • Measure and communicate impact using DORA (DevOps Research and Assessment) metrics, AI Impact Analytics, and Value Stream Analytics, and use those insights to guide iteration and expansion of successful use cases. • Codify repeatable deployment patterns, reusable assets, and lessons learned, contributing back to GitLab through documentation, accelerators, and product feedback informed by field experience. •