Senior TA Operations Specialist - Gitlab - Etätyö - Globaali

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. An overview of 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. 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 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 What you'll bring 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 About the team 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. US Salary Range $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 Parental Leave 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. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process. Please note that the ad does not specify a specific remote work mode, so default to Onsite.