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Jobs(38,923)/Senior Data Scientist Role(480)/GitLab (224) - Senior TA Operations Specialist
GitLab

GitLab - Senior TA Operations Specialist

Remote - USA$104k - $147k+ Equity1w ago
RemoteSeniorNAArtificial IntelligenceSoftwareSenior Data ScientistRecruiterGovernanceTeam ManagementPerformance ManagementVendor ManagementReportingDocumentation

Requirements

• Demonstrated experience owning and configuring enterprise ATS platforms and HR/TA tech stacks including stages, fields, integrations, and user access management • Hands-on 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 — including diagnosing and resolving integration failures • Familiarity with AI governance, bias auditing, and compliance frameworks • A genuine curiosity about emerging recruiting technology — you bring ideas before you're asked • Experience in recruiting operations, HR tech, or a related domain required • The TA Operations team at GitLab is built around two complementary functions: TA Technology, and Process & Enablement. Together, we own the tools, systems, data, processes, and programs that power recruiting across the company. • The Technology side of the house owns everything from ATS configuration and integrations to AI agent development, vendor management, and governance — with a mandate to maintain what recruiters depend on today while building what they'll need tomorrow. We're a small team with a large scope, which means you'll have real ownership and real impact from day one. • 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.

Responsibilities

• Systems, Tool Configuration & Infrastructure • 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 when integrations fail; serve as the primary point of escalation for integration errors and outages • AI Agent & Automation Development • 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 are granted • Drive prompt engineering, model management, and ongoing performance monitoring for all deployed agents • Tools Ownership, Roadmap, & Planning • Lead the TA systems roadmap — owning evaluation, RFPs, and tech stack planning for the TA team • Manage vendor relationships for all TA technologies • Own tools configuration, maintenance, and integrations • Lead legal and security reviews for AI tool proposals in coordination with the ATO and Enterprise AI teams • Develop business cases for new AI tool investments and support Process & Enablement in evaluating non-AI tool needs • Governance, Compliance & Enablement • Own AI governance framework and policy for the TA function — including bias auditing and fairness reviews for all AI tools and agents • Lead data privacy and security compliance reviews for AI tools in partnership with Legal and Security • Build and deliver AI-specific enablement curriculum and adoption programs for recruiters and TA stakeholders • Author and maintain all AI-specific documentation, playbooks, and SOPs within the TA knowledge library • Contribute AI agent performance data to TA dashboards and own AI performance reporting

Benefits

• $104,000 - $147,000 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 • 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. • Country Hiring Guidelines:

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