Engineering Manager, Growth

As Engineering Manager, Growth at GitLab, you will build and enable 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, using experimentation to improve how users experience the product. You and your globally distributed team will run experiments on GitLab.com, improve onboarding and discoverability, and streamline the paths that connect users to existing product value, balancing technical guidance with people management throughout.

Responsibilities

• Hire, guide, and enable a high-performing Growth engineering team, creating an environment where people do their best work.
• Partner with Product Managers, Product Designers, Data counterparts, and other Engineering Managers to deliver improvements that increase user discovery, activation, and expansion.
• Own delivery across experiments and product improvements, turning learnings into measurable gains in conversion, engagement, and upgrade flows.
• Drive Growth's operating model through experiment ideation, ICE-based prioritization, hypothesis development, and results review, scaling winning changes and stopping 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, maintaining strong partnership and clear ownership boundaries.
• Drive the adoption of AI-native experimentation and workflows, identifying creative opportunities to accelerate user value delivery.

Qualifications

• 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.
• Experience working closely with Product, Design, and Data to deliver measurable outcomes through iteration and experimentation.
• Comfort in a data-informed environment: prioritizing opportunities, evaluating experiment results, and helping teams make evidence-based choices.
• Ability to deep dive into complex technical and product issues and translate them for technical and non-technical audiences.
• Experience managing remote, globally distributed teams in an all-remote, asynchronous environment.
• Experience with developer tools and product-led growth.