GitLab

Senior Professional Services Technical Architect specializing in GitLab Duo Agent Platform, responsible for helping customers move from ideas to production by designing and delivering solutions, building and deploying Custom Agents, Custom Flows, and CI/CD integrations, and owning delivery end-to-end. This role involves customer discovery, integration with existing systems, establishing AI governance, and measuring impact.

This role is for a Principal Solutions Architect specializing in AI and Security & Compliance within the EMEA region. The primary focus is on acting as a trusted technical advisor and pre-sales partner to customers, helping them leverage GitLab's AI-powered DevSecOps platform. The role involves leading technical discovery, architecture design, and evaluations (POC/POV) for AI-driven solutions, driving AI-focused solution strategy, and influencing product direction with field feedback. The Solutions Architect will also mentor other team members and contribute to thought leadership.

Senior Backend Engineer (AI) at GitLab, focusing on integrating AI into CI/CD workflows. The role involves designing, building, and operating AI-assisted and agentic CI experiences, instrumenting and monitoring these systems, and hardening the underlying infrastructure. The primary focus is on scaling AI capabilities within the GitLab CI platform.

Staff Backend Engineer focused on AI Governance at GitLab, defining the technical foundation for governing GitLab Duo agents at enterprise scale. The role involves designing backend architecture for auditability, policy enforcement, and enterprise reporting, ensuring clear visibility and controls for AI agent activity. It requires strong experience in backend systems, authorization patterns, and Ruby on Rails/Python, with a focus on enabling secure and compliant adoption of AI features.

Engineering Manager for GitLab's AI Engineering: Workflow Catalog team, responsible for guiding a team of 9 engineers in building and scaling GitLab's AI catalog for agents and workflows. The role involves people management, technical judgment, and shipping customer-facing AI agent capabilities.

Engineering Manager for AI Governance at GitLab, leading a team to build a product for regulated enterprise customers to govern GitLab Duo agent activity. Focuses on audit events, policy enforcement, and governance reporting, requiring collaboration with Product, Design, and other engineering teams. The role emphasizes building teams and products simultaneously in the intersection of AI, compliance, and software supply chain security.

Senior Solutions Architect with AI and Platforms expertise to advise customers on GitLab's AI-powered DevSecOps platform, focusing on technical strategy, evaluations, and driving adoption of AI-led solutions.

Senior AI Engineer at GitLab focused on building internal AI-powered solutions to drive business outcomes across Sales, Marketing, and Customer Support. The role involves diagnosing business problems, designing and shipping AI solutions end-to-end, improving organizational flow, and integrating AI capabilities into existing systems. Emphasizes practical outcomes, measurable business value, and leveraging AI as a productivity multiplier.

Senior Backend Engineer responsible for building and improving backend systems for Wiki, Pages, Markdown, and text editors, with a focus on designing and integrating AI-powered capabilities like the planner agent and MCP integrations. The role involves architecting AI agents and MCP integrations that connect GitLab's GraphQL APIs with external AI platforms and tools, while also driving improvements in reliability and performance of existing systems. The engineer will mentor other engineers and collaborate across teams.

Staff Backend Engineer (Python) on the Duo Chat team, responsible for the backend architecture of GitLab Duo Chat. This role involves integrating and evolving LLM providers, improving observability and testing, and driving architectural decisions for a scalable AI-powered chat experience within the DevSecOps platform.

Staff Backend Engineer focused on integrating AI and agentic features into GitLab CI/CD workflows. The role involves shaping and scaling backend infrastructure, designing AI-powered features, defining success metrics for AI in CI, building observability for AI systems, and improving performance of CI systems. Requires strong Ruby on Rails, PostgreSQL, and experience with AI-powered backend features and observability.

Staff Forward Deployed Engineer focused on helping strategic enterprise customers adopt GitLab and the GitLab Duo Agent Platform in complex, regulated environments. The role involves deep technical discovery, designing adoption paths, building reusable solutions for AI-enabled workflows, and influencing product direction based on field needs. This role is customer-facing and involves hands-on engineering to solve adoption blockers and create durable technical assets.

This role focuses on helping strategic enterprise customers adopt GitLab and its AI capabilities, specifically the GitLab Duo Agent Platform. The engineer will guide technical discovery, design adoption paths, and build reusable solutions for complex, often regulated, environments. They will also contribute to upstream product and engineering decisions based on field needs, turning recurring customer issues into durable technical assets and influencing architecture patterns.

This role focuses on helping strategic enterprise customers adopt GitLab and its AI capabilities, specifically the GitLab Duo Agent Platform. The engineer will guide technical discovery, design adoption paths, and build reusable solutions for complex, often regulated, environments. They will also contribute to upstream product and engineering decisions based on field needs, turning recurring customer issues into durable technical assets and influencing architecture patterns.

This role leads the technology strategy for GitLab's global post-sales organization, focusing on systems that power Customer Success, Support, and Community workflows, with a strong emphasis on the Zendesk platform and the broader support technology ecosystem. The Director will define a multi-year roadmap, improve platform governance, and drive the adoption of AI and automation to enhance efficiency, triage, routing, and operational productivity. The role involves leading a distributed team of engineers and architects to evolve the support technology stack towards proactive, data-informed improvements and better customer experience.

Staff Forward Deployed Engineer role focused on helping enterprise customers adopt GitLab Duo Agent Platform in complex, regulated environments. This role involves deep technical discovery, designing adoption paths, and building reusable solutions for AI-enabled workflows, influencing product direction based on field needs.

Manager for Professional Services Engineers in EMEA, focusing on customer installation, migration, training, and advisory services for the GitLab platform. The role involves leading a team, ensuring delivery outcomes, managing utilization, and acting as a senior escalation point, with an emphasis on leveraging AI for productivity.

This role is a Senior Solutions Architect for GitLab, an AI-powered DevSecOps platform. The primary focus is on guiding prospects and customers on how to leverage the platform to solve technical issues and achieve business goals across the software development lifecycle. The role involves acting as a strategic technical advisor, guiding complex evaluations, shaping architecture choices, and helping customers modernize their software development processes. While the platform is AI-powered and AI is encouraged for productivity, the role itself is not directly building or researching AI models, but rather selling and advising on the use of an AI-enhanced product.

Vice President of Engineering role at GitLab, focusing on leading a globally distributed engineering organization for an AI-powered DevSecOps platform. The role involves defining engineering strategy, driving operational excellence, championing AI-native practices in workflows and products, and partnering with Product Management and other executive stakeholders. Requires strong technical credibility, experience leading large distributed teams, and familiarity with AI-powered product development or integrating AI into developer workflows.

Senior Security Engineer for GitLab's Security Incident Response Team (SIRT). This role focuses on defending GitLab.com and its environment against security threats, supporting FedRAMP, and leveraging automation and AI-driven approaches to improve detection, investigation, and response. Requires U.S. citizenship and residency.

Senior Solutions Architect for GitLab's DevSecOps platform, focusing on guiding customers through technical evaluations, solution design, and platform adoption. The role emphasizes understanding customer needs and demonstrating how GitLab's AI-powered features address business objectives across the software development lifecycle.

Senior Solutions Architect for Financial Services at GitLab, focusing on guiding customers in the financial sector on how to leverage GitLab's AI-powered DevSecOps platform to meet technical and regulatory needs. The role involves technical discovery, solution design, proofs of value, and acting as a customer advocate to internal teams, aiming to drive platform adoption and revenue growth.

Senior Director, Technical Program Management to oversee GitLab’s Engineering technical program management function and help the Engineering division deliver complex, high-impact work with more clarity, consistency, and speed. Reporting directly to the Chief Technology Officer, you’ll guide an established team of Technical Program Managers, shape the operating model for the function, and drive strategic programs that span horizontal productivity initiatives (Duo Agent Platform), customer-facing feature delivery, Customer Zero adoption, and security vulnerability remediation.

Senior Engineering Manager for GitLab's DevEx team, focusing on platform foundations for software delivery. The role involves managing engineering managers, driving a Kubernetes-first platform vision, and supporting AI-assisted development practices. Key responsibilities include coaching teams, developing roadmaps, and ensuring consistency across cloud and on-prem environments.

This role focuses on helping enterprise customers adopt GitLab and the GitLab Duo Agent Platform, particularly in complex, regulated, or constrained environments. The engineer will guide technical discovery, design adoption paths, and build reusable solutions for AI-enabled workflows, including AI Gateway and model connectivity. They will also contribute code or design changes upstream when necessary and create durable technical assets to influence product direction.

This role focuses on applying AI to enhance infrastructure security within a DevSecOps platform. The Staff Infrastructure Security Engineer will set architectural patterns, lead security initiatives, conduct threat modeling, and define the team's approach to AI-assisted security engineering. The role requires expertise in cloud security, container orchestration, Infrastructure-as-Code, and hands-on experience with AI in security workflows.

Senior Solutions Architect for GitLab's AI-powered DevSecOps platform, focusing on technical strategy, customer engagement, and transformation initiatives in the Paris territory.

Solutions Architect for GitLab's AI-powered DevSecOps platform, focusing on Mid-Market prospects and customers in North America. The role involves guiding customers through technical evaluations, solution design, and digital transformation journeys, acting as a trusted advisor and customer advocate. The Solutions Architect will collaborate with sales teams, influence revenue growth, and provide customer feedback to internal product and engineering teams.

This role focuses on making cloud spending visible, understandable, and actionable by partnering with Engineering, Finance, and Product. It involves building and improving systems for tracking, attributing, and optimizing cloud usage, including developing resource tagging, improving billing data quality, and creating tooling for cost optimization across AWS and GCP. The role also involves contributing to observability systems to connect cost signals with reliability and operational data.

This role focuses on engineering security improvements for the GitLab product, specifically building and maintaining tools to detect and prevent abuse on SaaS platforms. It involves predicting abuse patterns, building prevention systems, and improving agentic AI capabilities within abuse mitigation tools. While a strong software engineering background in Ruby/Rails is required, formal security engineering experience is not. The role also involves collaborating with peers, resolving automation gaps, and creating documentation.

Director of Enterprise Architecture & AI Intelligent Automation responsible for defining and governing how GitLab's internal systems connect, integrate, and evolve. This role will lead Enterprise Architecture, Integration, & RPA teams, setting architectural standards, governance frameworks, and strategic vision. The role involves shaping the long-term architecture, establishing an Architecture Review Board, rationalizing automation and integration, and clarifying when to use AI, RPA, or traditional integration. The goal is to reduce shadow IT and software sprawl, drive clear patterns for data flows, and ensure compliance with SOX and security requirements.

This role is for an IT Enterprise Applications Engineer specializing in NetSuite & Claude Code. The primary focus is on the implementation and operational ownership of Enterprise Applications, specifically integrating NetSuite with Claude tools to automate and improve business processes like Quote To Cash, Procure to Pay, and Record to Report. The engineer will develop and maintain business workflows, build system integrations, and manage system metadata. While the role involves using AI tools like Claude, it is not focused on building or researching AI models themselves, but rather on leveraging them for enterprise application efficiency.

This role is for a Senior Solutions Architect at GitLab, focusing on the Central EMEA region. The primary responsibility is to act as a trusted advisor to customers, guiding them on how GitLab's DevSecOps platform, which is described as AI-powered, can meet their technical and business needs. The role involves leading technical discovery, demos, and evaluations (POC/POV), shaping solution architectures, and collaborating with sales teams to drive platform adoption and revenue. While the role heavily involves discussing and demonstrating an AI-powered platform, the core craft of the individual is not building or researching AI models themselves, but rather selling and architecting solutions that leverage AI.

Customer Success Engineer for GitLab's DevSecOps platform, focusing on helping customers achieve measurable value through technical guidance and enablement. This role involves partnering with customers to improve adoption, unblock implementations, and apply best practices across the software delivery lifecycle, leveraging deep technical expertise in DevSecOps and cloud technologies. The role also contributes to documentation and enablement content.

This role is for a Manager, Application Security for the APAC region at GitLab. The primary focus is on managing and developing a team of Application Security Engineers who perform security reviews, threat modeling, and vulnerability triage. A key aspect of the role is to drive AI adoption within the team, leveraging AI-assisted workflows for various security tasks to improve efficiency and reduce operational toil. The role also involves ensuring product security risks are managed, driving operational excellence, and building team capabilities. While AI tools are a significant part of the role, the core function is application security management and engineering, not building AI models themselves.

Staff Technical Program Manager at GitLab, a DevSecOps platform company. This role drives cross-functional portfolios and programs across the engineering organization, focusing on clarity, coordination, and delivering outcomes in ambiguous environments. The role requires strong technical fluency in CI/CD, cloud infrastructure, APIs, and distributed systems, and involves partnering with senior engineering and product leaders to align priorities and execution plans. While the company embraces AI for productivity, this role is focused on program management rather than direct AI/ML development.

This role focuses on building AI-powered workflows and integrations within the Legal & Corporate Affairs team to automate legal tasks, improve efficiency, and enhance visibility. The Legal Engineer will translate legal requirements into technical solutions, own parts of the legal technology stack, and collaborate with internal AI teams to embed legal logic into company-wide tooling.

Staff Forward Deployed Engineer at GitLab focused on helping strategic customers adopt the GitLab Duo Agent Platform and AI-enabled workflows in complex enterprise environments. The role involves deep technical discovery, designing adoption paths, building reusable solutions, and influencing product direction based on field needs. It emphasizes working with AI tools and platforms within a DevSecOps context.

Customer Success Engineer at GitLab, focused on helping customers derive value from the DevSecOps platform, which incorporates AI as a productivity multiplier. The role involves providing technical expertise, best practices, and enablement through various channels, and collaborating with internal teams to support customer adoption and success.

Senior Backend Engineer focused on building backend systems for an AI Governance product. This role involves implementing pipelines for AI audit events, access control for AI features, storage for AI agent artifacts, and services for an AI agent registry. The work is at the intersection of AI, governance, and enterprise backend engineering, supporting regulated organizations in adopting AI agents with confidence.

Solutions Architect for SMB customers, focusing on GitLab's AI-powered DevSecOps platform. Responsibilities include technical discovery, guiding evaluations, solution design, and partnering with sales teams to drive customer acquisition and success. The role emphasizes understanding customer needs and connecting them to GitLab's platform strategy, leveraging AI as a productivity multiplier.

Senior Backend Engineer on the GitLab CD team to build a next-generation Continuous Deployment engine from the ground up. This role involves designing and developing features for the CD platform, taking end-to-end ownership of complex features, establishing architectural patterns for a new codebase, and collaborating with cross-functional teams. The role emphasizes distributed systems architecture in Go, durable workflow execution, state persistence, and AI-native governance. While the core role is backend engineering, there's an expectation to incorporate AI tools into daily workflows and a mention of AI-integrated product features as a nice-to-have.

Staff Backend Engineer for GitLab's Continuous Delivery team, focusing on a greenfield initiative at the intersection of the core platform and AI strategy. The role involves technical leadership, system design, and execution for building AI-native governance and orchestration systems within the Deploy stage. The engineer will also mentor other engineers and participate in cross-functional discussions.

Solutions Architect for GitLab's DevSecOps platform in ANZ, focusing on guiding customers through technical evaluations, solution design, and platform adoption. The role emphasizes understanding customer needs and demonstrating how GitLab's AI-powered features address technical and business objectives across the software development lifecycle.

Intermediate Backend Engineer on the AI Governance team at GitLab, responsible for building a paid product for regulated enterprise organizations to audit, govern, and demonstrate compliance for AI agent usage within GitLab. The role involves implementing backend features for visibility and governance controls, working with Ruby on Rails and PostgreSQL, and collaborating with cross-functional teams in an all-remote environment.

Senior Data Analyst on the Enterprise Analytics team at GitLab, supporting go-to-market and executive reporting. The role involves working with sales, marketing, revenue operations, and finance to deliver company-level reports, performance views, and lifecycle reporting. Key tools include Snowflake, dbt, Tableau, and VS Code. The analyst will also improve documentation and data foundations.

This role is for a Solutions Architect at GitLab, focusing on their AI-powered DevSecOps platform. The primary responsibility is to act as a trusted advisor to customers, guiding them on how GitLab's platform can meet their technical and business needs across the software development lifecycle. This involves leading technical discovery, demos, and proofs of value, collaborating with sales teams, building customer relationships, and providing customer feedback to internal product teams. The role requires expertise in DevSecOps, cloud technologies, and the ability to communicate technical solutions effectively.

Engineering Manager for a new team focused on building next-generation Continuous Deployment capabilities within GitLab's DevSecOps platform. The role involves hiring and leading a globally distributed team, shaping team culture, and owning the delivery of a CD engine with reconciliation, live state awareness, durable orchestration, and AI-native governance. The work intersects GitLab's core platform and AI strategy, aiming to enable reliable and confident software deployments.