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Thanks to products like Duo Enterprise, and Duo Workflow, customers get the benefit of AI at every stage of the SDLC. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier. All team members are encouraged and expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact across our global organisation.
An overview of this role
As an Engineering Manager on the Personalization Platform team, you'll be leading architecture and building the systems that empower our feature teams to run their own A/B tests, gather analytics, and implement personalized experiences for GitLab users. You'll work at the intersection of data, experimentation, and product development. You‘ll have the opportunity to lead a team of talented engineers pushing a core part of GitLab to the forefront of our industry. You will have your engineers’ well-being as top priority as you create the conditions for a world-class team delivering impactful results for our customers. You will collaborate with counterparts to establish predictable delivery of Product outcomes and dig into your technical expertise around git and software engineering to drive technical strategy while mentoring your engineers through their careers. All while continuing to seek opportunities to enhance productivity and efficiency of the team’s efforts. As necessary, you’ll drive hiring efforts to capture top-tier talent shaping the team to better support the company’s objectives and goals.
What you’ll do
- Manage team activities and ensure project delivery.
- Support engineers' professional growth and skill development.
- Create detailed project plans for epics.
- Execute agile project management processes.
- Foster empathy and address team concerns.
- Recruit globally-distributed talent and conduct interviews.
- Cultivate a psychologically safe team environment.
- Implement process improvements to boost productivity.
- Conduct regular 1:1 meetings and provide feedback.
- Implement scalable infrastructure for experimentation and personalization across GitLab's platform.
- Build intuitive tools that enable product teams to design, deploy, and analyze their own A/B tests without engineering bottlenecks.
- Collaborate with the data analytics team to implement statistical methodologies for accurate experiment evaluation.
- Create documentation and training resources to help teams effectively utilize the platform.
- Partner with product teams to understand their experimentation needs and continuously improve the platform.
What you’ll bring
- Proficiency in using GitLab for project management and collaboration.
- Advanced knowledge of git beyond the basic usage.
- Strong negotiation skills to achieve consensus across departments.
- Demonstrated leadership experience with current technical competency.
- In-depth technical expertise in at least one core language, framework, or technology (Ruby / Go).
- Familiarity with various functional areas within the team's domain.
- Additional experience relevant to the role's specialty.
- Excellent written and verbal communication skills.
- Alignment with organizational values and principles.
- Experience building internal tools or platforms for experimentation, analytics, or personalization.
- Familiarity with A/B testing methodologies and statistical analysis.
- Experience with event tracking, data pipelines, and analytics systems.
- Experience with feature flagging systems and progressive rollouts.
About the team
You'll be joining GitLab's Growth Engineering team during an exciting transformation as we build out our new Personalization Platform. Our team is focused on re-investing in GitLab's product-led growth motion by creating self-service capabilities that help customers discover, try, and adopt our products with minimal friction. We're tackling key challenges like improving our analytics infrastructure, enhancing trial experiences across deployments, and building a robust personalization stack that will allow feature teams to run their own experiments. As part of our FY26 strategy, we're organizing into focused sub-teams around Conversion, Adoption, and Personalization Platform, with this role specifically supporting the platform that will empower teams across GitLab to make data-driven decisions. We're a collaborative group working closely with stakeholders from Marketing, Sales, Developer Relations, and Product teams to drive measurable business outcomes while maintaining GitLab's commitment to an excellent customer experience.
How GitLab will support you
- Benefits to support your health, finances, and well-being
- All remote, asynchronous work environment
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental leave
- Home office support
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.
The base salary range for this role’s listed level is currently for residents of listed locations only. 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, and alignment with market data. 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.
California/Colorado/Hawaii/New Jersey/New York/Washington/DC/Illinois/Minnesota pay range
$131,600—$282,000 USD
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.
