Join to apply for the manager, analytics engineering (go-to market) role at gitlabjoin to apply for the manager, analytics engineering (go-to market) role at gitlabget ai-powered advice on this job and more exclusive features.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 rolethe 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 domanage, 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 reviewsdesign 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-makingplayer/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 analyticsunderstand 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 objectivesbuild and maintain robust data pipelines that integrate complex gtm data sources (crm, marketing automation, financial systems, sales tools) into unified, reliable operational reporting frameworkspartner closely with finance, marketing, and sales leadership to translate evolving business requirements into scalable data model specifications that support forecasting, performance tracking, and operational excellencemanage 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 analysisimplement the dataops philosophy specifically for gtm data workflows, ensuring data accuracy, consistency, and governance standards that meet the stringent requirements of financial and operational reportingcontinuously 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 operationswhat you’ll bringshare our values, and work in accordance with those values5+ years hands on experience in a data analytics/engineering/science role2+ years hands on experience performing quantitative analysis to tackle business problems with a focus on feature and usage metrics to increase conversion and retention1+ years hands on experience creating dimensional models composed of facts and dimensions1+ years leading or managing a team of 3 or more data analysts/engineers/scientistsdemonstrate ability to understand and communicate end-to-end data systems: from compute to elt to reporting to analysisexceptional experience creating and developing partnerships with internal team members towards delivery of impactful analytics solutionsexperience defining and executing project plans at the day, week, and month time spansdemonstrably deep understanding of sql and relational databases (we use snowflake)experience working with large quantities of raw, disorganized datahow gitlab will support youbenefits to support your health, finances, and well-beingall remote, asynchronous work environmentflexible paid time offteam member resource groupsequity compensation & employee stock purchase plangrowth and development fundparental leavehome office supportthe 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 usdcountry 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.seniority levelseniority levelmid-senior levelemployment typeemployment typefull-timejob functionjob functionresearch, analyst, and information technologyindustriesit services and it consulting and software developmentreferrals increase your chances of interviewing at gitlab by 2xsign in to set job alerts for “analytics manager” roles.mexico city metropolitan area 2 months agodata engineering manager bilingue (100% remoto)project manager - drive flawless product launches with precision & teamworkwe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of ai.
#j-18808-ljbffr