AI Operations Specialist

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 AI 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 AI 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. Da