Senior TA Operations Specialist

GitLab

2d•$104,000 - $147,000•Remote

About The Position

Talent Acquisition at GitLab is evolving, and you'll be at the center of it. As a Senior TA Technology Specialist, you will own the full technology infrastructure that powers how GitLab recruits at scale. This includes everything from ATS configuration and integrations to AI agent development and automation. You will be the technical authority across the entire TA tech stack. This role involves architecting intelligent workflows, maintaining the systems recruiters depend on daily, and building the AI layer that makes those systems smarter over time. You will serve as the lead TA AI liaison, ensuring every AI tool and agent deployed meets standards for security, compliance, and fairness. This role is for individuals energized by the challenge of owning complex technical infrastructure while simultaneously pushing what's possible with AI, at a company that ships fast and trusts its employees to lead.

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

Responsibilities

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
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
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
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