GitLab

Senior Customer Success Operations Analyst

GitLab

USD 87k–187k

Canada, United States🏆 Great Place to Work 2025Full TimeCustomer Support
📍 Canada, United StatesPosted January 21, 1970

Job Description

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 a Senior Customer Success Operations Specialist at GitLab, you'll play a central role in helping our Customer Success organization scale with clear systems, reliable data, and effective operational processes. You'll oversee Gainsight and related Customer Success architecture while partnering closely with Customer Success, Strategy and Operations, and other go-to-market teams to enable how we engage customers across their journey. In this role, you'll help shape operational best practices, improve how teams use data to make decisions, and deliver reporting that supports both current priorities and future business needs. You'll do this in GitLab's all-remote, values-driven environment, where documentation, iteration, and cross-functional work help teams move with clarity and purpose.

What you’ll do

  • Oversee Gainsight and related Customer Success systems architecture to support scalable team workflows.
  • Guide cross-functional initiatives that improve Customer Success operations and strengthen alignment with broader go-to-market teams.
  • Deliver data views and reporting that map to current business needs while helping the organization prepare for future needs.
  • Influence the maturity of Strategy and Operations delivery through the development and testing of best practices.
  • Partner with stakeholders to refine operational issues, improve processes, and support effective deployments.
  • Help improve reporting formats, operational workflows, and system usage to increase efficiency and visibility.
  • Work cross-functionally with senior stakeholders to define data needs clearly and translate them into actionable operational solutions.
  • Contribute to documentation and operational clarity so processes are easy for teams to understand and use in an asynchronous environment.

What you’ll bring

  • Experience supporting Customer Success organizations through operations, systems, or program ownership.
  • Experience building and maintaining tools such as Gainsight, Salesforce, Mavenlink, and/or other Customer Success and Professional Services systems.
  • Strong data analysis skills and the ability to connect business questions to practical system, process, and reporting solutions.
  • Relevant ownership of program management and/or operations work across multiple stakeholders and priorities.
  • Strong business acumen across go-to-market teams and strategies.
  • Strong skills in data systems, reporting, and visualization.
  • Ability to work cross-functionally with senior stakeholders to facilitate clear definitions of data needs and desired outcomes.
  • Comfort working in an all-remote, asynchronous environment with a high level of ownership, iteration, and trans