Manager, Analytics Engineering (Go-To Market)

Remote, Americas

GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits 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, 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.

An overview of this role

The Manager, Analytics Engineering (GTM) sits at the intersection of Business Strategy, Analytics Engineering, and Data Engineering and is responsible for leading a team that brings robust, efficient, and integrated data products to life. The Manager, Analytics Engineering (GTM) speaks the language of business teams and technical teams, able to translate data insights and analysis needs into data models powered by the Enterprise Data Platform. The successful Manager, Analytics Engineering (GTM) is able to blend business acumen with technical expertise and transition between business strategy and data development. In this role, the incumbent will have an opportunity to drive impact on a large scale by leading a team that delivers trusted data that is used by Senior Leadership to power GTM analytics at GitLab (Finance, Marketing and Sales).


What You’ll Do  

  • Manage, lead, and develop a high-performance Analytics Engineering team specializing in GTM data across Finance, Marketing, and Sales domains, including day-to-day assignments, bi-weekly milestone planning, 1-1s, quarterly objectives, and annual reviews
  • Design and oversee the development of comprehensive data models that power critical operational reporting for Finance, Marketing, and Sales teams, enabling real-time business performance monitoring and decision-making
  • Player/Coach that can both lead a team of expert data modelers and make hands-on contributions to GTM data model development, ensuring accurate revenue recognition, campaign attribution, and sales pipeline analytics
  • Understand the big picture of GitLab's go-to-market strategy and demonstrate how your team's data models support revenue growth through prioritization, planning, and strategic solutioning aligned with business objectives
  • Build and maintain robust data pipelines that integrate complex GTM data sources (CRM, marketing automation, financial systems, sales tools) into unified, reliable operational reporting frameworks
  • Partner closely with Finance, Marketing, and Sales leadership to translate evolving business requirements into scalable data model specifications that support forecasting, performance tracking, and operational excellence
  • Manage operational components of the GTM Data Platform to ensure critical business metrics and operational reports are available per established SLOs, supporting month-end close, sales forecasting, and marketing ROI analysis
  • Implement the DataOps philosophy specifically for GTM data workflows, ensuring data accuracy, consistency, and governance standards that meet the stringent requirements of financial and operational reporting
  • Continuously develop and enhance the Data Team Handbook's GTM data modeling standards, operational reporting best practices, and cross-functional collaboration processes to support GitLab's scaling go-to-market operations

What You’ll Bring 

  • Share our values, and work in accordance with those values
  • 5+ years hands on experience in a data analytics/engineering/science role
  • 2+ years hands on experience performing quantitative analysis to tackle business problems with a focus on feature and usage metrics to increase conversion and retention
  • 1+ years hands on experience creating dimensional models composed of facts and dimensions
  • 1+ years leading or managing a team of 3 or more data analysts/engineers/scientists
  • Demonstrate ability to understand and communicate end-to-end data systems: from compute to ELT to Reporting to Analysis
  • Exceptional experience creating and developing partnerships with internal team members towards delivery of impactful analytics solutions
  • Experience defining and executing project plans at the day, week, and month time spans
  • Demonstrably deep understanding of SQL and relational databases (we use Snowflake)
  • Experience working with large quantities of raw, disorganized data

How GitLab will support you

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

$106,400 - $228,000 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.

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