Senior TA Operations Specialist

Job description

About this role

Talent Acquisition at GitLab is evolving  and you'll be at the center of it. As a Senior TA Operations Specialist, you own the full technology infrastructure that powers how GitLab recruits at scale. That means everything from ATS configuration and integrations to AI agent development and automation — you're the technical authority across the entire TA tech stack. This isn't a 'run the tools' role. You'll architect intelligent workflows, maintain the systems recruiters depend on every day, and build the AI layer that makes those systems smarter over time. You'll serve as the lead TA AI liaison,  ensuring every AI tool and agent we deploy meets our standards for security, compliance, and fairness. If you're energized by the challenge of owning complex technical infrastructure while simultaneously pushing what's possible with AI, and you want to do it at a company that ships fast and trusts you to lead then  this role is built for you.

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

Qualifications and 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