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Senior TA Operations Specialist at Gitlab. Location Information: United States. GitLab Inc. is a company based on the GitLab open-source project. GitLab is a community project to which over 1,000 people worldwide have contributed. We are an active participant in this community, trying to serve its needs and lead by example. We have one . vision. : everyone can contribute to all digital content, and our mission is to change all creative work from read-only to read-write so that everyone can contribute.. We . value.  results, transparency, sharing, freedom, efficiency, frugality, collaboration, directness, kindness, diversity, boring solutions, and quirkiness. If these values match your personality, work ethic, and personal goals, we encourage you to visit our . primer.  to learn more. Open source is our culture, our way of life, our story, and what makes us truly unique.. Avoid the . confidence gap. ; you do not have to match all the listed requirements exactly to apply. Our hiring process is described in more detail in our . hiring handbook. .. Work remotely from anywhere in the world. Curious to see what that looks like? Check out our . remote manifesto. .. Own the end-to-end configuration of the TA tech stack including ATS stages, fields, picklists, scorecards, user access, and permissions. Manage all tools configuration, maintenance, and core setup across the technology ecosystem. Own all integrations across the TA stack including build, monitoring, and incident response. Design, build, and deploy end-to-end AI agents and automation workflows for recruiter-facing and enterprise TA use cases. Own automation architecture and workflow mapping across the TA infrastructure layer. Lead AI proposal triage, assessing feasibility, process impact, and candidate experience implications before approvals. Drive prompt engineering, model management, and ongoing performance monitoring for all deployed agents. Lead the TA systems roadmap, owning evaluation, RFPs, and tech stack planning for the TA team. Manage vendor relationships for all TA technologies. Lead legal and security reviews for AI tool proposals. Develop business cases for new AI tool investments. Own AI governance framework and policy for the TA function. Lead data privacy and security compliance reviews for AI tools. Build and deliver AI-specific enablement curriculum and adoption programs. Maintain all AI-specific documentation, playbooks, and SOPs. Contribute AI agent performance data to TA dashboards and own AI performance reporting. Experience owning and configuring enterprise ATS platforms and HR/TA tech stacks. Experience building and deploying AI agents or automation workflows in an enterprise environment. Strong understanding of prompt engineering, LLM behavior, and model performance monitoring. Experience managing integrations across platforms. Familiarity with AI governance, bias auditing, and compliance frameworks. Experience in recruiting operations, HR tech, or a related domain required. Pay range:. $104K - $147K