远程工作雷达

高级总监,收入分析

Senior Director, Revenue Analytics

职能支持限定地区(需当地身份)
公司GitLab
薪资未公开
工作地点Remote, United States
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2026-08-06
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote, United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

GitLab 是 DevSecOps 的智能编排平台。GitLab 帮助组织提高开发人员生产力,提升运营效率,降低安全和合规风险,并加速数字化转型。超过 5000 万注册用户,超过 50% 的财富 100 强企业* 信任 GitLab 快速交付更优质、更安全的软件。

我们产品中内置的原则也体现在团队的工作方式中:我们拥抱 AI 作为核心的生产力倍增器,所有团队成员都需将 AI 融入日常工作中,以推动效率、创新和影响力。GitLab 是职业加速、创新繁荣、每个人的声音都被重视的地方。我们的高性能文化由价值观和持续的知识共享驱动,使团队成员在与行业领袖合作解决复杂问题的过程中实现自身潜力。与我们共同创造未来,构建改变世界软件开发方式的技术。

*Fortune 500® 是 Fortune Media IP Limited 的注册商标,经许可使用。声明基于 GitLab 数据。财富 100 强指的是 2025 年 6 月发布的 2025 年财富 500 强榜单中排名前 20% 的公司。财富和 Fortune Media IP Limited 与 GitLab 没有隶属关系,也不认可或推荐 GitLab 的产品或服务。

职位概述

作为高级总监,收入分析,您将领导一支高绩效的分析专业团队,负责 GitLab 销售和客户体验数据及分析的战略愿景和执行。您将作为高管领导层的关键业务合作伙伴,利用数据塑造 GitLab 的市场进入策略、客户体验和整个客户生命周期的收入增长。

该职位结合战略思维与卓越的运营管理。您将与销售策略、客户成功、专业服务、收入运营、市场营销、财务和企业数据与分析部门紧密合作,提供推动业务成果的洞察。

您将负责的工作

  • 领导和发展收入分析团队,制定分析标准并建立可扩展的能力以支持 GitLab 的增长。
  • 支持现场的 AI 自助服务计划,通过认证的数据集,与企业数据协调语义层和指标定义。
  • 领导团队通过 AI 工具和解决方案以及传统 BI 解决方案生成洞察。
  • 负责整个 GitLab 的分析路线图
查看英文原文

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 Senior Director, Revenue Analytics, you'll lead a high-performing team of analytics professionals and own the strategic vision and execution for sales and customer experience data and analytics across GitLab. You'll serve as a key business partner to executive leadership, using data to shape GitLab's go-to-market strategy, customer experience, and revenue growth throughout the customer lifecycle.

This role combines strategic thinking with operational excellence. You'll partner closely with Sales Strategy, Customer Success, Professional Services, Revenue Operations, Marketing, Finance, and Enterprise Data & Analytics to deliver insights that drive business outcomes.

What you’ll do

  • Lead and develop the Revenue Analytics team, setting analytics standards and building scalable capabilities to support GitLab's growth.
  • Support AI self-serve initiatives within the Field through certified data sets, coordination with Ent Data on semantic layers and metric definitions.
  • Lead a team building insights via AI tooling and solutions along with legacy BI solutions.
  • Own the analytics roadmap across sales, customer success, and professional services to improve sales productivity, retention, services utilization, and revenue performance.
  • Develop and support forecasting, pipeline, capacity, and predictive models to improve forecast accuracy, conversion, velocity, resource allocation, and revenue planning.
  • Build customer lifecycle analytics for onboarding, product adoption, engagement, churn risk, expansion, NRR, and GRR to improve customer outcomes.
  • Provide strategic leadership on the metrics, insights, and data necessary to help the GTM functions migrate to a consumption-based business model.
  • Create executive artifacts to be used on recurring basis, integrated reporting, attribution models, and strategic analyses that connect acquisition, post-sale, and services performance.
  • Partner with executive leaders and teams across Revenue Operations, Marketing, Finance, Product, Professional Services, and Enterprise Data & Analytics to turn business questions into clear recommendations.
  • Establish data governance and reporting frameworks that improve data quality and provide reliable insights for executive, board, and external reporting.

What you’ll bring

  • Experience leading analytics teams and developing team members in sales, customer, revenue operations, business intelligence, or consulting environments.
  • Knowledge of business-to-business software-as-a-service business models, sales processes, and revenue metrics across the customer lifecycle.
  • Experience with consumption-based metrics and business models.
  • Ability to develop strategic analytics roadmaps, translate complex data into clear insights, and influence executive-level decisions.
  • Experience with customer success analytics, including health scoring, churn prediction, NRR and GRR analysis, segmentation, and expansion analytics.
  • Experience with sales and professional services analytics, including forecasting, revenue planning, utilization, project profitability, and services-led growth metrics.
  • Ability to work with large, complex datasets to develop analytical frameworks that inform resource allocation, capacity planning, and customer outcomes.
  • Advanced proficiency with AI tools (Claude, OpenAI, Gemini), Business Intelligence tools (Tableau, Hex, Omni), Structured Query Language (SQL), data modeling, statistical analysis, and predictive modeling for customer analytics.
  • Familiarity with customer data platforms, product analytics tools such as Gainsight or Pendo, services management systems, and other business intelligence platforms is a plus.

About the team

The Revenue Analytics team are full-stack analytics business partners who work with stakeholders to turn data into clear insights that help leaders make informed decisions. Members of this team are able to take questions and needs from leadership and create solutions based on analytic engineering, understanding data structure best practices, business intelligence and data visualization work, ad hoc analytics, project management, and AI implementation.  They work to define the best solutions by providing the right data in the right format at the right time in a platform agnostic manner. In this role, you'll shape how we operate, develop our capabilities, and ensure our work supports measurable business outcomes.

The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. 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, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. 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.

United States Salary Range
$203,200—$345,600 USD

How GitLab Supports Full-Time Employees

  • Benefits to support your health, finances, and well-being
  • Flexible Paid Time Off
  • Team Member Resource Groups
  • Equity Compensation & Employee Stock Purchase Plan
  • Growth and Development Fund
  • Parental Leave

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.

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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