Synced from Greenhouse · Jul 22

AI Operations Specialist

GitLabRemote, United StatesPosted Jul 22, 2026
Operations ManagerRemoteMid
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Mirrored from GitLab's own Greenhouse careers system · refreshed hourly

$95k–$161k
Compensation
229
Other open GitLab roles
Jul 22
Posted
Greenhouse
Applicant system
Job descriptionReq 8638246002

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

The Tech Operations Specialist keeps the field organization's AI tooling running smoothly day to day. You will maintain a clear inventory of AI tools in use across the field, manage an index of use cases and field needs, track adoption and utilization, manage access requests, and keep the underlying data feeding these tools clean and well-organized. This is a detail-oriented, execution-focused role for someone who enjoys bringing order to a fast-moving tool landscape and wants to build a foundation in Tech operations.

This role reports to the Vice President, Enablement & AI.

What You’ll Do  

  • Tool Inventory & Consolidation: Maintain an up-to-date inventory of all AI tools used across the field org, identify overlap or redundancy, and support consolidation efforts to reduce tool sprawl.
  • Tool Adoption & Use Case Index: Formalize a library of field-adopted and -requested use cases for our AI tools, in coordination with the AI Transformation Owner, CRO.
  • Utilization & Tracking: Monitor usage of AI tools across teams, build simple reporting to track adoption trends, and flag underutilized or underperforming tools to stakeholders.
  • Comms & Enablement: draft internal announcements for tool rollouts and create micro-enablement programs to engage the field in AI tools.
  • Tool Access Requests/Management: Own the intake and processing of access requests for AI tools, ensuring provisioning is timely, accurate, and aligned with licensing and approval requirements.
  • AI Data Management: Support the organization, quality, and hygiene of data used by or generated from AI tools, working with relevant teams to keep gDrive/datasets accurate and properly maintained.

What You’ll Bring 

  • Early-Mid Level Experience: Some experience in enablement, sales/business operations, IT operations, or a similar coordination-heavy function; comfortable owning recurring operational processes.
  • Organized & Detail-Oriented: Strong attention to detail with the ability to track multiple tools, requests, and datasets simultaneously without things falling through the cracks.
  • Interest in AI Tooling: Genuine curiosity about AI tools and platforms, with willingness to learn the technical basics of how they're configured, accessed, and maintained. Act as an advocate for AI Adoption and best practices in the field.
  • Process-Minded: Comfortable following and improving structured processes (intake forms, access workflows, tracking dashboards) rather than needing to build strategy from scratch.
  • Collaborative: Able to work with enablement, IT, and field stakeholders to gather requirements and resolve access or data issues efficiently.
  • Data Comfort: Basic comfort working with spreadsheets, dashboards, or simple data tools to track utilization and maintain data quality.
  • GitLab Values Alignment: Ability to work in an all-remote, asynchronous environment, leaning heavily on transparency and collaboration as defined in the GitLab Handbook.

About the team

The Enablement & AI function is part of the CRO organization. Enablement is instrumental in helping GitLab grow at a more accelerated pace and achieve our ambitious revenue targets. The enablement organization comprises enablement leads serving the CRO business functions, a centralized content group, AI tech resources, and an operations team.

 

How GitLab will support you

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 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
$95,200$160,800 USD

How GitLab Supports Full-Time Employees

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.

View original posting on Greenhouse

What applying to GitLab usually looks like

Based on publicly available information, candidates applying through greenhouse typically begin with an online application and resume submission, sometimes accompanied by optional screening questions. GitLab's process, like many companies using this ATS, may include multiple stages such as an initial recruiter conversation, one or more interviews with hiring managers or team members, and potentially a skills-based or take-home exercise depending on the role. Communication is usually managed through automated status updates within the platform, and response times vary based on the position and volume of applicants. Candidates can generally expect the process to be structured but may experience variability in pacing. It is commonly advisable to prepare for both behavioral and role-specific technical questions, and to ensure application materials clearly reflect relevant skills, since greenhouse-based processes often emphasize structured evaluation criteria across candidates.

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