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Careers at GitLab

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about.gitlab.comHQ: San Francisco, CA, USCEO: William Staples2580 employees

GitLab Inc., through its various operating entities, specializes in developing software solutions that facilitate the entire software development lifecycle. The company's operations span the United States, Europe, and the Asia Pacific regions. Its primary offering is GitLab, a unified DevOps platform. This single application is engineered to boost development speed, offering extensive visibility and precise command over every phase of the DevOps workflow. The platform's objective is to enable businesses to effectively plan, build, secure, and release software, thereby driving positive business results. Additionally, GitLab Inc. provides a range of associated training and expert consultation services. Founded in 2011, the enterprise was initially known as GitLab B.V. before officially adopting the name GitLab Inc. in July 2015. The firm's main offices are located in San Francisco, California.

Sector:Software Application

All Openings (121)

Ordered by most recently published

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 Backend Engineer on the GitLab Agent Observability team, you'll go beyond using AI tools and help define how we design, build systems that allow AI agents to interact with the full software delivery lifecycle, way beyond pure code creation. In this role you’ll contribute to the development of complex features and help establish architectural patterns both for how to interact with AI Agents across GitLab and how the resulting AI contributions manifest across GitLab. You’ll collaborate closely with engineers across the Agent Foundations stage and adjacent teams within AI engineering. This is a high-visibility area of the product at the intersection of GitLab's core platform and its AI strategy. What you'll do Develop, ship, and maintain features and improvements for Agent Observability and Interactions across both the GitLab monolith backend and the AI gateway in a secure, well-tested, and performant way. Collaborate with Product Management, UX, frontend, backend, and AI specialists to refine requirements and deliver high-quality, iterative product enhancements. Design, implement, and review GraphQL, REST APIs and related backend logic, ensuring reliability, scalability, and clear contracts with frontend clients. Improve and extend automated testing, including RSpec and other frameworks, to strengthen quality, reliability, and developer feedback loops. Share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and evidence-driven engineering across the team. Participate in Tier 2 on-call rotations to troubleshoot production issues, contribute to root cause analysis, and enhance observability and resiliency What you'll bring Experience building and maintaining production applications with Ruby on Rails, including work with background jobs, APIs, and data models. Comfortable working across the stack in a mature codebase. Familiarity with Python backends and/or Vue frontends a plus. Proficiency in designing or extending REST and/or GraphQL APIs with attention to scalability, maintainability, and backward compatibility. Strong practical experience working with AI tooling on a daily basis. Experience designing and shipping AI-powered backend features and integrations is a plus. SQL skills and familiarity with relational databases such as PostgreSQL, including writing efficient queries and understanding data modeling. Openness to learning, collaborating in an async-first, distributed team, and applying transferable skills from related technologies or domains. Clear written and verbal communication skills, including writing technical proposals and documentation, and collaborating effectively in a remote, asynchronous, cross-functional environment. About the team Agent Observability is a new functional team within the Agent Execution group. The team itself will initially consist of three engineers across AMER and EMEA timezones. The whole Agent Execution group consists of 8+ engineers. Beyond the Agent Observability team, Agent Execution consists of further teams focussed on agent tools and executing agents on GitLab’s runners. We’re partnering with teams both within the AI space as well as all over GitLab to ensure that the Duo Agent Platform can become the backbone of many AI features at GitLab. How GitLab Supports Full-Time Employees 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 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 .

View more...
Software EngineeringVia Greenhouse
Verified15 days ago

Director of Engineering, Security Factory

Remotefull timeExecutiveIsrael (Remote)
Apply Now

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 Director of Engineering, Security Factory , you will lead the engineering organization responsible for GitLab’s customer-facing security capabilities across our AI-powered DevSecOps platform. You’ll help shape how customers detect, prioritize, and remediate vulnerabilities across modern software workflows by guiding teams that build proprietary scanners, AI-driven detection engines, agentic remediation flows, and supporting security foundations. Reporting to the VP of Engineering, Sec section , you’ll set the engineering vision and roadmap for a distributed group of nine teams, including engineering managers, and create the conditions for strong delivery, sound technical direction, and healthy team growth. Some examples of our projects: Advanced proprietary scanners for Static Application Security Testing, Software Composition Analysis, Secret Detection, and related AI and machine learning detection engines Agentic security flows for autofix and guided remediation, plus research that strengthens AI security, threat intelligence, vulnerability management, and security foundations What you’ll do Set the engineering vision and multi-quarter roadmap across teams working on proprietary scanners, AI-driven security workflows, research functions, vulnerability management, and security foundations. Lead a distributed engineering organization of managers and individual contributors, with a focus on team performance, engagement, and career development. Drive architectural decisions for AI and machine learning detection engines, agentic remediation flows, and scalable scanning infrastructure. Partner with product management to define priorities, shape requirements, and deliver security capabilities for customers in regulated and security-conscious environments. Own the engineering delivery of GitLab’s proprietary application security scanners, agentic remediation workflows, and AI Security Research efforts. Represent the Security Factory stage in cross-functional planning, executive reviews, security disclosures, and customer conversations. Establish engineering standards for delivery, observability, incident response, scanner quality, and code quality. Contribute to GitLab’s transparent, async-first way of working through issues, merge requests, and the GitLab handbook. What you’ll bring Experience leading engineering organizations with multiple teams and managers in a distributed environment. Strong understanding of application security fundamentals, including Static Application Security Testing, Software Composition Analysis, secret detection, vulnerability management workflows, and software supply chain security. Experience building detection, analysis, or scanning systems in a software as a service or DevSecOps environment, including trade-offs across precision, recall, latency, and scale. Direct experience shipping a customer-facing AI or machine learning product feature tied to detection or remediation quality outcomes. Ability to partner closely with product management on roadmap planning, prioritization, and requirements in a product-led context. Strong written communication skills and comfort leading through clear documentation in a remote, async-first organization. Collaborative leadership style that supports teams, gives direct feedback, and aligns with GitLab’s values. Familiarity with agentic AI systems, AI agent orchestration, threat intelligence research, or open source security tooling is useful, and we welcome candidates with adjacent or transferable experience. About the team The Security Factory group builds the customer-facing security capabilities of GitLab’s AI-powered DevSecOps platform. The organization includes nine teams working across proprietary scanners, AI-driven detection, agentic remediation, research, vulnerability management, and security foundations, and it collaborates asynchronously across regions with product management and other cross-functional partners. The team is focused on improving detection quality, scaling security workflows for enterprise use, and strengthening how GitLab helps customers secure the software supply chain. For more on how this team works, see the Sec Engineering Handbook page. How GitLab Supports Full-Time Employees 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 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 .

View more...
Engineering ManagementVia Greenhouse
Verified15 days ago

Director of Engineering, Security Factory

Remotefull timeExecutiveUnited Kingdom (Remote)
Apply Now

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 Director of Engineering, Security Factory , you will lead the engineering organization responsible for GitLab’s customer-facing security capabilities across our AI-powered DevSecOps platform. You’ll help shape how customers detect, prioritize, and remediate vulnerabilities across modern software workflows by guiding teams that build proprietary scanners, AI-driven detection engines, agentic remediation flows, and supporting security foundations. Reporting to the VP of Engineering, Sec section , you’ll set the engineering vision and roadmap for a distributed group of nine teams, including engineering managers, and create the conditions for strong delivery, sound technical direction, and healthy team growth. Some examples of our projects: Advanced proprietary scanners for Static Application Security Testing, Software Composition Analysis, Secret Detection, and related AI and machine learning detection engines Agentic security flows for autofix and guided remediation, plus research that strengthens AI security, threat intelligence, vulnerability management, and security foundations What you’ll do Set the engineering vision and multi-quarter roadmap across teams working on proprietary scanners, AI-driven security workflows, research functions, vulnerability management, and security foundations. Lead a distributed engineering organization of managers and individual contributors, with a focus on team performance, engagement, and career development. Drive architectural decisions for AI and machine learning detection engines, agentic remediation flows, and scalable scanning infrastructure. Partner with product management to define priorities, shape requirements, and deliver security capabilities for customers in regulated and security-conscious environments. Own the engineering delivery of GitLab’s proprietary application security scanners, agentic remediation workflows, and AI Security Research efforts. Represent the Security Factory stage in cross-functional planning, executive reviews, security disclosures, and customer conversations. Establish engineering standards for delivery, observability, incident response, scanner quality, and code quality. Contribute to GitLab’s transparent, async-first way of working through issues, merge requests, and the GitLab handbook. What you’ll bring Experience leading engineering organizations with multiple teams and managers in a distributed environment. Strong understanding of application security fundamentals, including Static Application Security Testing, Software Composition Analysis, secret detection, vulnerability management workflows, and software supply chain security. Experience building detection, analysis, or scanning systems in a software as a service or DevSecOps environment, including trade-offs across precision, recall, latency, and scale. Direct experience shipping a customer-facing AI or machine learning product feature tied to detection or remediation quality outcomes. Ability to partner closely with product management on roadmap planning, prioritization, and requirements in a product-led context. Strong written communication skills and comfort leading through clear documentation in a remote, async-first organization. Collaborative leadership style that supports teams, gives direct feedback, and aligns with GitLab’s values. Familiarity with agentic AI systems, AI agent orchestration, threat intelligence research, or open source security tooling is useful, and we welcome candidates with adjacent or transferable experience. About the team The Security Factory group builds the customer-facing security capabilities of GitLab’s AI-powered DevSecOps platform. The organization includes nine teams working across proprietary scanners, AI-driven detection, agentic remediation, research, vulnerability management, and security foundations, and it collaborates asynchronously across regions with product management and other cross-functional partners. The team is focused on improving detection quality, scaling security workflows for enterprise use, and strengthening how GitLab helps customers secure the software supply chain. For more on how this team works, see the Sec Engineering Handbook page. How GitLab Supports Full-Time Employees 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 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 .

View more...
Engineering ManagementVia Greenhouse
Verified15 days ago

Director of Product Management, Agentic Software Delivery

Remotefull timeExecutiveUnited States (Remote)
Apply Now

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 Director, Product Management: Agentic Software Delivery, you'll own one of GitLab's most strategic sections, spanning Continuous Integration, Artifact Management, Continuous Deployment, and Observability. You'll lead senior and principal product managers and be accountable for adoption, retention, and revenue across build, package, deploy, and monitor. Today, these are separate stages with a human making the call at each handoff. As agents take on more coding, pipeline, and deployment work, you'll set the three-year vision for how much of that judgment the system can make safely and how quickly a production signal can turn into a fix without waiting for a human to notice it first. You'll define how customers move from today's manual checkpoints toward agent-driven software delivery at a pace that fits their risk tolerance. In your first year, you'll bring four connected roadmaps into one coherent strategy, establish how investment is allocated and reallocated, deepen partnerships with Engineering and go-to-market leaders, and give customers a credible path for managing software delivery at scale. What you’ll do Own the strategy, three-year vision, and business outcomes for GitLab's Agentic Software Delivery section, with a clear point of view on how artificial intelligence is changing software delivery. Lead and develop senior and principal product managers across Continuous Integration, Artifact Management, Continuous Deployment, and Observability, helping them grow as independent decision-makers. Establish the frameworks, standards, and operating rhythm that support consistent, high-quality product decisions without unnecessary escalation. Own section-level key performance indicators and adoption funnels, using the results to reallocate investment or stop work that isn't paying off. Evaluate major strategic bets, partnerships, and build, buy, or partner decisions, and develop the business cases that support them. Partner with Engineering leadership on platform investment, architectural direction, and trade-offs across the section, while connecting build, package, deploy, and monitor into one coherent customer experience. Drive pricing, packaging, go-to-market strategy, migration, and adoption with Product Marketing, Sales, Pricing, Customer Success, and Solutions Engineering across free, commercial, and enterprise offerings. Represent the section with GitLab's senior leadership, key enterprise customers, partners, and industry audiences, while modeling AI-native product management across discovery, synthesis, prototyping, roadmap exploration, and concept development. What you’ll bring Experience leading product managers, including developing senior and principal talent, hiring, and addressing performance directly. A track record of owning a portfolio across multiple product areas and being accountable for adoption, retention, and revenue, not only roadmap delivery. Product management depth in one or more relevant areas, such as continuous integration and continuous delivery pipelines, artifact or package management, release management, or observability. Sound judgment about where to invest and where to stop, including experience making and defending build, buy, or partner decisions with a business case. Technical fluency to work with engineers and architects on pipeline design, artifact workflows, deployment strategies, and observability signals such as logs, metrics, and traces. Experience shaping pricing and packaging for technical products across free, commercial, and enterprise offerings. Experience working with technical customers in developer tools, DevOps, or software delivery environments where engineers and engineering leaders are primary users. Executive-level communication and influence. Practical use of AI tools in product management workflows, along with a thoughtful view of how AI and agentic workflows are changing software delivery. We welcome candidates whose experience may come from different but transferable product and leadership paths. About the team The team brings together senior product leaders across GitLab's software delivery platform and works closely with Engineering, Design, and go-to-market partners so customers experience these capabilities as one connected system. The team helps customers manage today's delivery complexity while shaping how AI-powered and AI-native workflows influence the next generation of software delivery. As part of GitLab's all-remote organization, the team collaborates asynchronously across regions with a focus on transparency, written communication, and clear decision-making. 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 $203,200 — $345,600 USD How GitLab Supports Full-Time Employees 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 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 .

View more...
Software EngineeringVia Greenhouse
Verified15 days ago

Engineering Manager, Agent Foundations: Agent Execution

Remotefull timeMid-LevelUnited States (Remote)
Apply Now

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 Engineering Manager for the Agent Execution group , you'll lead more than 10 engineers who build foundations for AI agents to run safely and effectively across GitLab. You'll give the group clarity, remove obstacles, and help teams move quickly while protecting what matters. You'll contribute to design reviews on sandboxing and agent observability, work alongside staff engineers, and use modern AI coding tools and agent harnesses in your work. What you’ll do Lead the Agent Tools, Agent Observability, and Runner Execution teams across frontend, backend, and AI engineering, with each team anchored by a staff engineer. Grow the group by hiring, onboarding, coaching, and developing engineers at every level. Partner with product and UX to turn ambiguous problems into shipped milestones and make prioritization tradeoffs explicit. Contribute substantively to technical design for running agents safely and effectively at scale. Establish practical standards for the group's use of AI tools, including tool selection and configuration. Coach engineers through ambiguity in a fast-changing technical space. Represent the group across GitLab's AI organization and with the teams that depend on the GitLab Duo Agent Platform. What you’ll bring Experience managing distributed engineering teams and working through technical leads and staff-level engineers. Technical judgment developed through hands-on engineering experience and fluency with modern AI coding tools and agent harnesses. Ability to guide teams in applying AI to software engineering workflows and technical decision-making. Experience delivering results in fast-paced environments with ambiguous requirements. A commitment to coaching and developing engineers in a positive, inclusive team environment. Experience building and deploying AI products; working with sandboxing, container isolation, infrastructure security, observability systems, or reliability engineering; or using Python, Ruby, Go, or TypeScript is helpful. About the team We’re building the product and infrastructure that make GitLab an effective environment for running agents across the software development lifecycle. Our three teams, Agent Tools, Agent Observability, and Runner Execution, work on areas ranging from GitLab's Model Context Protocol (MCP) server and configurable network access to agent sandboxing and transparent agent interactions across GitLab. We’re distributed across three continents and partner with teams throughout GitLab to help the GitLab Duo Agent Platform become the backbone of GitLab's AI features. A Senior Engineering Manager currently leads our group on an interim basis and will support your onboarding and remain a close partner afterward. This is an opportunity to lead a consequential group as AI changes how software is built. 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 $152,800 — $172,800 USD How GitLab Supports Full-Time Employees 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 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 .

View more...
Engineering ManagementVia Greenhouse
Verified15 days ago

Engineering Manager, Build

Remotefull timeMid-LevelUnited Kingdom (Remote)
Apply Now

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. Summary: Lead the Build team within GitLab Delivery, accountable for the strategy, execution, and operational excellence of the systems that turn GitLab source code into secure, verified, and distributable artifacts for Self-Managed and other delivery targets. The role owns the build platform foundations that make component delivery faster, more consistent, and more self-service for development teams, while ensuring artifacts are reliable for customers to install and operate. Key Responsibilities: Lead the Build team roadmap across UBT, TUBE, and the broader build platform. Own delivery of GitLab distributable artifacts, including packages, container images, and cloud marketplace images. Drive a build-once, deploy-everywhere model across Omnibus, CNG, and future delivery targets. Lead centralized dependency management and coordinated dependency updates across components. Ensure supply chain security through SBOMs, provenance, vetted dependencies, and compliant build isolation. Create self-service onboarding paths with standard CI templates, documentation, and paved paths. Improve build quality and consistency through unified build environments and validation. Establish observability, dashboards, and metrics for build pipelines and platform impact. Partner across Delivery and adjacent teams to unblock onboarding and reduce coordination overhead. What you'll bring: Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps A history of building and managing high-performing, accountable team cultures, including managing out when necessary Comfort driving complex projects to completion without relying on a dedicated TPM Experience leading distributed and remote teams effectively How GitLab Supports Full-Time Employees 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 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 .

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Engineering ManagementVia Greenhouse
Verified15 days ago

Engineering Manager, Data Foundations

Remotefull timeMid-LevelUnited States (Remote)
Apply Now

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 Engineering Manager at GitLab, you’ll manage and grow a high-performing engineering team within the Data Foundations group, working on a core data platform that ingests, processes, persists, and queries data streams generated across GitLab. We are looking for a leader who can leverage AI to drive non-linear productivity gains across the platform, accelerating our ability to deliver value to our customers. We’re looking for someone with deep distributed systems knowledge. You’ll need to be comfortable going well beyond people management and into the architecture of high-throughput, multi-component data systems: ingestion, buffering, enrichment, replication, storage, querying, backpressure handling, isolation, and production operations across multiple deployment models. You’ll partner closely with Product, Design, Infrastructure, Data, and other Engineering teams to evolve a platform that lives inside the product, keeps external services to a minimum, and runs across GitLab.com, Dedicated, Self-Managed, and Cells-based deployments. In addition to Data Insights Platform, this role will take on classic search scope as the team joins the Data Foundations organization. You’ll help lead architecture and execution across both GitLab’s analytics platform and classic search capabilities, balancing platform depth with customer-facing impact. You’ll help lead architecture and execution across both GitLab’s analytics platform and classic search capabilities, balancing platform depth with customer-facing impact. In this role, you’ll balance technical guidance with people management. You’ll hire, coach, and develop engineers while also helping drive architecture and execution across a platform built around stateless ingesters, Siphon CDC replication, NATS/JetStream buffering, enrichment pipelines, ClickHouse-backed storage, and a Query API that interfaces with the GitLab Rails monolith. In Data Foundations, we build the engineering systems that make platform data reliable, scalable, and available to product teams across GitLab, and you’ll help guide that work. What you’ll do Hire, manage, and enable a high-performing Data Insights Platform engineering team, creating an environment where team members can do their best work and deliver strong results. Partner closely with product managers, product designers, and peer engineering managers to define and deliver the roadmap for Data Insights Platform (DIP) and related Platform Insights initiatives such as Siphon , Query API integrations, classic search initiatives, and self-service reporting foundations. Own delivery for your team, including planning, prioritization, execution, and operational follow-through across architecture work, platform improvements, and production readiness, with clear accountability for roadmap milestones and delivery outcomes. Guide the technical design of distributed data-path components, including ingestion, buffering, enrichment, exporting, and querying, and shape architecture choices on sharding, partitioning, component-specific scaling, failure recovery, and tenant isolation across SaaS, Dedicated, self-managed, and Cells deployments, with a strong focus on reliability, throughput, operability, and maintainability. Help the team design safe and scalable integrations with the GitLab monolith, including gRPC/Protobuf-based query paths and clear ownership boundaries between DIP and product teams building user-facing GraphQL or REST endpoints. Drive a high bar for security, privacy, and governance in how platform data is handled, including authentication, authorization, encryption, and safe handling of data with different privacy classifications. Improve operational maturity across the platform, including observability, metrics, logging, readiness, capacity planning, performance monitoring, and clear runbooks for managed environments, with a focus on improving availability, throughput, latency, and time to recovery. Collaborate asynchronously across teams and functions to help GitLab land customer-facing reporting capabilities on top of a strong, scalable data foundation. Lead the design and evolution of the platform with a focus on modular architecture, ensuring systems are extensible and ready for AI-driven integrations. What you’ll bring Experience managing platform, infrastructure, or data systems teams at scale, with a track record of building high-performing, values-aligned teams. Deep distributed systems expertise, including strong judgment on service boundaries, asynchronous pipelines, backpressure, fault tolerance, horizontal scalability, and operating multi-component systems in production. Strong technical background in backend and platform engineering, with the ability to guide architecture for high-throughput event pipelines and data systems. Experience with technologies and patterns relevant to this space, such as change data capture, event streaming or messaging systems, OLAP data stores, query-serving layers, and service-to-service APIs. Ability to hire, develop, and coach team members while still contributing technical guidance on complex architecture and delivery tradeoffs. Strong cross-functional collaboration skills, especially when ownership is split between platform teams and feature teams consuming common infrastructure or APIs. Experience building or operating systems across multiple deployment models, with sound judgment about the tradeoffs between GitLab.com, Dedicated, self-managed, and cell-based environments. Strong written communication skills and the ability to work effectively in an all-remote, asynchronous environment. Familiarity with search, indexing, and query-serving systems is a strong plus. A deep passion for reliability, customer outcomes, and engineering and operational excellence, with a proven track record of instilling these values in high-performing teams. About the team In Data Foundations, we enable customers to self-serve reporting with scalable architecture. Our vision is to build a comprehensive dashboards-as-a-service framework that uses AI and relies on scalable data infrastructure. Data Insights Platform is one of our central initiatives, and we play a key role in advancing self-service reporting across GitLab. This is the foundational layer every reporting and intelligence surface at GitLab depends on — from product dashboards to Software Engineering Intelligence to the GitLab Knowledge Graph. In addition to Data Insights Platform, the team’s scope will include classic search as part of the broader Data Foundations organization.This brings together foundational analytics and search capabilities that help customers generate insights from product data and find relevant information across GitLab. We partner closely with product teams to turn DIP’s real-time insights, Postgres-to-ClickHouse replication, event routing, and downstream exports into dashboards, agent experiences, and customer-facing reporting. The scale expectations are real: we handle very large event volumes, with current and projected usage in the hundreds of millions of events per day. For more on how we work, see: Platform Insights Group Data Insights Platform architecture blueprint Data Insights Platform Querying API 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 $152,800 — $259,200 USD How GitLab Supports Full-Time Employees 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 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 .

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Engineering ManagementVia Greenhouse
Verified15 days ago

Engineering Manager, Dedicated Integrations Team

On-sitefull timeMid-LevelBengaluru, India
Apply Now

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. 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 We're looking for a technical engineering manager to lead a team building and operating large-scale distributed systems. The ideal candidate combines deep technical expertise with strong operational instincts and a passion for building high-performing teams. What you’ll do Enable effective execution with Quality and Speed, in partnership with the team’s Product Manager Ensure 3+ 9s availability of Dedicated infrastructure, ensuring security and automating for maximum scalability and number of tenants. Provide clear direction, meaningful feedback and foster an environment where meaningless toil gets ruthlessly automated and Devops ownership is enforced. Continuously improved owned artifacts in a direction of optimizing platforms for self-service ownership of production for feature implementers. Recruitment, onboarding and development of excellent and productive team members. Be a role model for the team: provide Proof of concepts, agentic mindset and extreme simplification of processes and removal of human toil. Show and Tell, not only Tell. Role model Incident Management best-practices, lead in fast resolutions, escalations and train and codify best practices to the whole of GitLab Data driven approach to prioritization, impact quantification and management of risk and technical debt.Able to use AI to demonstrate concepts and translate technical complexity to drive stakeholder decisions. What you’ll bring Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps A history of building and managing high-performing, accountable team cultures, including managing out when necessary Comfort driving complex projects to completion without relying on a dedicated TPM Experience leading distributed and remote teams effectively About the team The Enterprise Platform team focuses on delivering the infrastructure and operational capabilities that let large, security-conscious customers run GitLab on their own terms. Within that group, the Dedicated team builds and operates GitLab Dedicated, our single-tenant SaaS offering that gives customers full data and source code isolation, private networking, and data residency in the AWS region of their choice — all deployed and maintained by GitLab with zero infrastructure overhead for the customer. We work asynchronously across regions and partner closely with Cell Infrastructure, Security, Compliance, and the Duo Agent Platform teams to extend agentic AI capabilities and multi-cloud support into single-tenant environments without compromising isolation guarantees. How GitLab Supports Full-Time Employees 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 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 .

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Engineering ManagementVia Greenhouse
Verified15 days ago

Engineering Manager - Git & Gitaly Operations

On-sitefull timeMid-LevelBengaluru, India
Apply Now

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 This role is not a typical infrastructure operations role. As Manager, Engineering, Git & Gitaly Operations, you'll lead the team responsible for the infrastructure layer underneath Git at GitLab: the open source Git project itself, Gitaly, GitLab's Git storage and remote procedure call layer, and the services that make Git perform at enterprise scale. Git and Gitaly are core to GitLab. If they go sideways in production, they affect everything downstream, including continuous integration, code review, and deployments. This role starts with genuine subject matter expertise in Git technologies and extends to reliable operation across GitLab's deployment models: Self-Managed, GitLab Dedicated, and SaaS. You'll build and develop a team with deep platform expertise and strong operational judgment. You'll partner across engineering groups to shape how Git and Gitaly operations evolve as the platform grows. What you’ll do Build and lead a team with deep platform expertise in Git and Gitaly, hiring and developing engineers who can operate this infrastructure layer with strong operational judgment. Own production reliability for Git and Gitaly across GitLab's full deployment footprint. Drive incident management, root cause investigation, and postmortems with the technical depth to distinguish a Git internals problem from a generic infrastructure problem. Design and operate Git and Gitaly service models that work across Self-Managed, GitLab Dedicated, and SaaS, with a clear view of which elements are common and which must differ between them. Maintain cloud-agnostic architecture and tooling decisions, avoiding designs that assume a single hyperscaler's primitives. Partner with the teams that own each deployment model so operational practices stay coherent rather than fragmenting into separate playbooks. Apply distributed systems fundamentals, including consistency, replication, and failure domains, to Gitaly's storage and replication model. Own elastic storage and compute strategy for Git repository data, including capacity planning, autoscaling, and consumption-based provisioning for GitLab's largest self-managed and SaaS customers. What you’ll bring Familiarity with GitLab's product and deployment models, and how Git and Gitaly support repository operations across self-managed, dedicated, and SaaS environments. Hands-on subject matter expertise in Git internals, including how the protocol, object model, and storage layer behave under load and at scale, not only familiarity with Git usage. Strong distributed systems fundamentals, including consistency, replication, failure handling, and horizontal scalability. Experience running production infrastructure across multiple deployment models, such as self-managed, dedicated or single-tenant, and multi-tenant SaaS, or a credible path from adjacent experience to it. Experience with elastic storage and compute, and consumption-based system design for variable, unpredictable load. People management experience, ideally leading site reliability engineering-style or platform operations teams. Direct experience with Gitaly, libgit2, JGit, or another Git implementation's internals is advantageous. Experience operating cloud-agnostic infrastructure across multiple hyperscalers or on-premises environments is advantageous. About the team The Git & Gitaly Operations team owns the Git infrastructure layer that powers GitLab and works at the intersection of Git internals, distributed systems, storage, and production operations. We expect the Git & Gitaly Operations team to go deep on one of GitLab's most critical platforms. The work requires technical depth, strong operational discipline, and the ability to solve complex reliability and scaling challenges in Git and Gitaly. How GitLab Supports Full-Time Employees 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 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 .

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Engineering ManagementVia Greenhouse
Verified15 days ago

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 Manager, Engineering, Nonlinear Productivity (Friction Elimination & Solutions), you’ll help GitLab break the linear relationship between headcount and engineering output. In this role, you’ll oversee the initiative’s forward-scanning work, reviewing GitLab’s software development lifecycle and code-generation workflows to spot recurring friction, test durable fixes, and identify internal solutions that could become customer-facing products. You’ll report to the Senior Manager or Director, Nonlinear Productivity and work at the intersection of engineering, developer productivity, AI-assisted development, and product. You’ll build a data-backed view of where technical interventions can have the highest leverage, test solutions through prototypes, drive validated fixes into internal adoption, and help build the case for productizing the strongest outcomes. What you’ll do Survey GitLab’s internal software development lifecycle and code-generation workflows to identify structural friction early, and build a data-backed view of where technical interventions will have the highest leverage. Evaluate build, buy, and adapt options for each opportunity, including emerging agentic and AI tooling, with a clear view of cost, risk, and durability. Stand up prototypes and review architecture directly to test whether a proposed fix moves a target metric and represents a durable solution before GitLab makes broader engineering investment. Hire and manage a small, high-caliber team, or operate as a hands-on working manager, with a focus on talent density over headcount. Drive validated fixes from prototype to internal adoption by partnering with affected teams so solutions are relied on, used, and maintained. Build the technical and business case for productizing internal fixes that prove durable, in partnership with product. Document reusable learnings so successful internal fixes don’t remain tribal knowledge. Report impact through changes in key metrics and progress on turning internal fixes into products, including a clear account of what didn’t work. What you’ll bring Ability to use GitLab. A track record of identifying and shipping technical fixes for developer productivity, continuous integration and continuous delivery, or platform friction, including problems you found before they were assigned. Comfort operating with high ambiguity and no existing backlog, building the roadmap rather than executing one handed down. People management experience, including in a small-team or working-manager capacity. Technical depth to evaluate and prototype solutions directly, not only direct others toward them. Product judgment to assess whether an internal tool could hold up for paying customers. Familiarity with agentic or AI-assisted development tooling. Experience moving an internal tool toward an external, customer-facing product is advantageous. About the team The Nonlinear Productivity team improves how GitLab engineers, and increasingly agents, build, review, and ship code. We test and scale durable technical fixes that improve our internal engineering output. Career ladder In this role, you can progress to Senior Manager, Nonlinear Productivity, with an expanded mandate across the full set of team metrics we use to track improvement. Additional details about our process can be found on our hiring page . How GitLab Supports Full-Time Employees 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 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 .

View more...
Engineering ManagementVia Greenhouse
Verified15 days ago

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