Senior TA Operations Specialist
GitLab · United States
- Hybrid
- Full-time
- $147,000 / year
- United States
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Job highlights
- Owns TA tech stack and AI integration.
- Architects intelligent workflows and automation.
- Develops and deploys AI agents.
- Manages vendor relationships and roadmap.
- Ensures AI governance and compliance.
About the role
Senior TA Technology Specialist at GitLab
GitLab is seeking a Senior TA Technology Specialist to manage and evolve the technology infrastructure that powers their global recruitment efforts. This role is central to optimizing how GitLab attracts and hires talent at scale, with a strong emphasis on integrating AI into talent acquisition workflows.
About This Role
As the technical authority for GitLab's Talent Acquisition (TA) tech stack, you will own the configuration, integration, and maintenance of all TA systems, including the Applicant Tracking System (ATS). You will architect intelligent workflows, build and deploy AI agents and automation, and serve as the lead TA AI liaison, ensuring all AI tools meet security, compliance, and fairness standards. This is a hands-on role focused on architectural design and technical ownership, not just tool operation.
What You'll Do
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 tool configurations, maintenance, and core setup across the technology ecosystem.
- Own all integrations across the TA stack, including build, monitoring, and incident response.
- 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.
- 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.
- Manage vendor relationships for all TA technologies.
- Lead legal and security reviews for AI tool proposals.
- Develop business cases for new AI tool investments.
Governance, Compliance & Enablement
- Own the AI governance framework and policy for the TA function, including bias auditing and fairness reviews.
- Lead data privacy and security compliance reviews for AI tools.
- Build and deliver AI-specific enablement curriculum and adoption programs.
- Author and maintain all AI-specific documentation, playbooks, and SOPs.
- Contribute AI agent performance data to TA dashboards and own AI performance reporting.
What You'll Bring
- Demonstrated experience owning and configuring enterprise ATS platforms and HR/TA tech stacks.
- Hands-on experience building and deploying AI agents or automation workflows.
- Strong understanding of prompt engineering, LLM behavior, and model performance monitoring.
- Experience managing integrations across platforms and resolving failures.
- Familiarity with AI governance, bias auditing, and compliance frameworks.
- Genuine curiosity about emerging recruiting technology.
- Experience in recruiting operations, HR tech, or a related domain is required.
About The Team
The TA Operations team at GitLab is responsible for the tools, systems, data, processes, and programs that support recruiting. The Technology side of the team focuses on ATS, integrations, AI development, vendor management, and governance, ensuring recruiters have the support they need today and tomorrow. This is a small team with a significant scope, offering substantial ownership and impact.
Compensation and Benefits
The US base salary range for this role is $104,000—$147,000 USD annually, not including bonuses, equity, or benefits. GitLab offers comprehensive benefits supporting health, finances, and well-being, including flexible PTO, Team Member Resource Groups, Equity Compensation, ESPP, a Growth and Development Fund, and Parental Leave.
Equal Opportunity and Remote Work
GitLab is a remote-first company committed to equal opportunity and affirmative action. All roles are remote, though some may have location-based eligibility requirements. We encourage candidates from all backgrounds to apply, even if you don't meet every qualification. GitLab is committed to a workplace free from discrimination and harassment.
Key skills/competency
- Senior TA Technology Specialist
- Talent Acquisition Technology
- ATS Configuration
- AI Agent Development
- Automation Workflows
- Prompt Engineering
- LLM Behavior
- Integration Management
- AI Governance
- Recruiting Operations
Skills & topics
- Senior TA Technology Specialist
- Talent Acquisition
- ATS
- AI
- Automation
- Prompt Engineering
- LLM
- Recruiting Operations
- HR Tech
- GitLab
How to get hired
- Tailor your resume: Highlight experience with enterprise ATS, AI agent development, and integration management.
- Showcase AI expertise: Detail your understanding of prompt engineering, LLM behavior, and governance frameworks.
- Emphasize operational skills: Mention experience in recruiting operations, HR tech, and vendor management.
- Demonstrate AI curiosity: Convey your passion for emerging recruiting technologies and proactive idea generation.
- Apply strategically: Clearly articulate how your technical skills will drive TA efficiency and innovation at GitLab.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the Senior TA Technology Specialist role at GitLab?
- The primary focus is to own and evolve the entire technology infrastructure for Talent Acquisition at GitLab, including ATS configuration, integrations, and the development and governance of AI agents and automation to enhance recruitment processes.
- What level of experience is required for AI development in this role?
- The role requires hands-on experience building and deploying AI agents or automation workflows in an enterprise environment, along with a strong understanding of prompt engineering, LLM behavior, and model performance monitoring.
- How does GitLab approach AI governance and compliance for TA tools?
- GitLab has an AI governance framework and policy for the TA function, which includes bias auditing, fairness reviews, and data privacy/security compliance reviews for all AI tools, conducted in partnership with Legal and Security teams.
- Is this a remote position, and are there location-specific requirements?
- Yes, all roles at GitLab are remote. While the company hires globally, some roles may have specific location-based eligibility requirements, which the Talent Acquisition team can clarify after the initial application process.
- What is the expected salary range for a Senior TA Technology Specialist in the US?
- The listed base salary range for residents of the United States is $104,000 to $147,000 USD annually. This range is determined by factors including experience, skills, and geographic location, and does not include bonuses, equity, or benefits.
- What are the key technical skills needed for this Senior TA Technology Specialist position?
- Key technical skills include enterprise ATS configuration, HR/TA tech stack management, AI agent/automation development, prompt engineering, LLM behavior understanding, integration management, and familiarity with AI governance and compliance.
- How does GitLab encourage applications from candidates who may not meet every qualification?
- GitLab welcomes interest from candidates with varying levels of experience and encourages everyone excited about the role to apply. They believe recruiters can assess applications effectively, even if not every single qualification is met.
- What is the role of AI in the Talent Acquisition team at GitLab?