Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Compliance @ 3
LLM @ 7
Performance Monitoring @ 7
Prompt Engineering @ 7
Security
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
GitLab's Talent Acquisition team is evolving, and this role owns the technology infrastructure that powers recruiting at scale. The Senior TA Operations Specialist serves as the technical authority across the TA technology stack, including ATS configuration, integrations, AI agent development, automation, governance, security, compliance, and fairness.
Responsibilities
Systems, Tool Configuration, and Infrastructure
- Own end-to-end configuration of the TA technology stack, including ATS stages, fields, picklists, scorecards, user access, and permissions.
- Manage configuration, maintenance, and core setup across the TA technology ecosystem.
- Own integrations across the TA stack, including development, monitoring, and incident response for integration failures.
- Serve as the primary escalation point for integration errors and outages.
AI Agent and Automation Development
- Design, build, and deploy end-to-end AI agents and automation workflows for recruiter-facing and enterprise Talent Acquisition use cases.
- Own automation architecture and workflow mapping across the TA infrastructure layer.
- Lead AI proposal triage by assessing feasibility, process impact, and candidate experience implications before approval.
- Drive prompt engineering, model management, and ongoing performance monitoring for deployed agents.
Tools Ownership, Roadmap, and Planning
- Lead the TA systems roadmap, including evaluation, RFPs, and technology stack planning.
- Manage vendor relationships for 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, and Enablement
- Own the AI governance framework and policy for the Talent Acquisition function, including bias auditing and fairness reviews for 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 curricula and adoption programs for recruiters and TA stakeholders.
- Author and maintain AI-specific documentation, playbooks, and standard operating procedures in the TA knowledge library.
- Contribute AI agent performance data to TA dashboards and own AI performance reporting.
Requirements
- Demonstrated experience owning and configuring enterprise ATS platforms and HR or TA technology 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.
- Curiosity about emerging recruiting technology and the ability to bring forward new ideas.
- Experience in recruiting operations, HR technology, or a related domain.
Team
The TA Operations team consists of TA Technology and Process & Enablement functions. Together, they own the tools, systems, data, processes, and programs that power recruiting across GitLab. The Technology team owns ATS configuration and integrations, AI agent development, vendor management, and governance.
Benefits
- Benefits supporting health, finances, and well-being.
- Flexible paid time off.
- Team Member Resource Groups.
- Equity Compensation and Employee Stock Purchase Plan.
- Growth and Development Fund.
- Parental Leave.
All GitLab roles are remote, although some roles may have specific location-based eligibility requirements.