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, Growth at GitLab, you’ll focus on building and enabling a high-performing team that helps users discover, activate, and expand value in GitLab. Growth’s mission is full-funnel: linking acquisition, activation, engagement, retention, and monetization into measurable self-serve loops, while using experimentation to improve how users experience the product.
Your primary focus will be to hire, coach, and develop team members, and to create an environment where they can do their best work while delivering strong results. You’ll partner closely with Product, Design, Data, and Engineering stakeholders to translate business goals, user journey insights, and experiment learnings into product improvements that help users realize value faster.
You will foster a culture that challenges the status quo and leverages AI-native experimentation to find innovative solutions for our users.
You and your globally distributed team will work in an agile and asynchronous way, working across GitLab to run experiments on GitLab.com, improve onboarding and discoverability, and streamline the paths that connect users to existing product value. Growth teams work iteratively, operate across product areas, and use experimentation to make data-informed product choices.
In this role, you’ll balance technical guidance with people management. You’ll guide architecture and implementation discussions, help the team navigate tradeoffs, and ensure experiments and product changes are built carefully, measured well, and aligned with long-term product ownership. Because Growth often works across product boundaries, you’ll also help your team work effectively with counterpart groups and smoothly hand off or scale successful work where ongoing ownership belongs elsewhere.
Some examples of our projects:
Improving signup, onboarding, and activation experiences to help new users get to value faster
Running experiments and A/B tests on GitLab.com to improve discoverability, conversion, engagement, and upgrade flows
What you’ll do
Hire, guide, and enable a high-performing Growth engineering team, creating an environment where GitLab team members can do their best work and deliver strong results.
Partner closely with Product Managers, Product Designers, Data counterparts, and other Engineering Managers to define and deliver improvements that increase user discovery, activation, and expansion of value in GitLab.
Own delivery for your team, including planning, prioritization, and execution of work across experiments and product improvements, turning learnings into measurable gains in conversion, engagement, and upgrade flows.
Drive Growth’s operating model by guiding experiment ideation, ICE-based prioritization, hypothesis development, and review of results so the team can scale winning changes and stop low-impact work quickly.
Guide the technical design and implementation of experiments and growth-oriented product changes, ensuring they are measured well and tied to activation, conversion, and retention outcomes.
Work across Growth and other stage groups when work touches areas owned by other teams, helping your team move quickly while maintaining strong partnership and clear ownership boundaries.
Dive into technical discussions and reviews, helping unblock complex issues and translating technical and experimental tradeoffs into clear context for technical and non-technical stakeholders.
Foster strong async communication and healthy cross-functional operating rhythms with Product, Design, Analytics Instrumentation, Data, Customer Success, Sales, and other Growth counterparts to improve experiment execution and business outcomes.
Drive the adoption of AI-native experimentation and workflows, actively identifying creative opportunities to use AI to accelerate user value delivery.
What you’ll bring
Experience managing product, growth, or development teams, with a track record of building high-performing, values-aligned teams.
Strong technical background and the ability to guide fullstack engineering work, architecture discussions, and pragmatic delivery in a product environment. Growth teams use fullstack engineering to move efficiently across frontend and backend needs.
Experience working closely with Product, Design, and Data to deliver measurable outcomes through iteration, experimentation, and continuous improvement.
Strong cross-functional collaboration skills, especially in environments where work spans multiple product areas and stakeholder groups.
Comfort working in a data-informed environment, including prioritizing opportunities, evaluating experiment results, and helping teams make clear, evidence-based choices.
Ability to deep dive into complex technical and product issues and translate them into clear, actionable language for both technical and non-technical audiences.
Experience managing remote, globally distributed teams and working effectively in an all-remote, asynchronous environment.