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 Deploy 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. Travel up to 50% for customer site engagements and company onsite events to support delivery, onboarding, and stakeholder alignment. What you'll bring Demonstrated experience leading customer-facing technical engagements, from discovery through production rollout, with ownership of outcomes. Proficiency in Python, with experience building and operating production-grade applications and integrations. Experience delivering with GitLab CI/CD, including pipeline design, YAML configuration, and using GitLab APIs (REST and GraphQL). Hands-on experience with infrastructure as code (for example, Terraform or Ansible) and deploying solutions into enterprise environments. Working knowledge of large language model (LLM) capabilities and limitations, including prompt engineering and building agentic workflows (such as Custom Agents and Custom Flows). Experience with Docker, container orchestration concepts, and runner configuration in secure environments. Familiarity with DevSecOps practices, including security controls, access management, and compliance requirements that impact deployment design. Strong written and verbal communication skills, with the ability to partner closely with customer stakeholders and translate business goals into technical plans in a remote, asynchronous environment. About the team GitLab's Professional Services organization within Customer Success helps customers get value from the GitLab Duo Agent Platform. We're a remote, asynchronous team that works closely with customer-facing colleagues to support successful deployments. We focus on turning what we learn in the field into reusable assets, clearer documentation, and product feedback that helps improve GitLab Duo Agent Platform for future customers. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $164,880 — $247,320 USD How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .