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Role Description

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.

• Partner closely with Professional Services and Customer Success stakeholders, including Professional Services Engineers, Project Managers, Customer Success Managers, and Solution Architects.
• Measure and communicate impact using customer-aligned success criteria and analytics.
• Help codify repeatable deployment patterns and lessons learned into reusable assets and product feedback.
• Travel for customer site engagements and company onsite events.

Qualifications

• 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.

Requirements

• Conduct deep customer discovery to understand business goals, technical constraints, and organizational dynamics.
• 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 to meet enterprise requirements.
• Measure and communicate impact using DORA (DevOps Research and Assessment) metrics, AI Impact Analytics, and Value Stream Analytics.
• 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.

Benefits

• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental leave
• Home office support