Senior TA Operations Specialist
WFA Digital Insight
The demand for skilled TA operations specialists is skyrocketing, with a 25% growth in job postings over the past year. As companies adapt to the new landscape of remote work, the need for experts who can architect intelligent workflows and manage complex technical infrastructure has never been more pressing. With over 50 million registered users, Gitlab is at the forefront of this shift, and this role offers a unique chance to own the TA tech stack and drive innovation in AI-powered recruitment. Candidates should be prepared to demonstrate expertise in AI agent development, automation, and workflow mapping, as well as a deep understanding of the latest trends in recruitment technology.
Job Description
About the Role
As a Senior TA Operations Specialist at Gitlab, you will be at the center of the company's evolving Talent Acquisition strategy. You will own the full technology infrastructure that powers how Gitlab recruits at scale, from ATS configuration and integrations to AI agent development and automation. This is a highly technical role that requires a deep understanding of the TA tech stack and the ability to architect intelligent workflows.The successful candidate will serve as the lead TA AI liaison, ensuring that every AI tool and agent deployed meets the company's standards for security, compliance, and fairness. You will also be responsible for designing, building, and deploying end-to-end AI agents and automation workflows for recruiter-facing and enterprise TA use cases.
What You Will Do
- 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
- Design, build, and deploy end-to-end AI agents and automation workflows for recruiter-facing and enterprise TA use cases
- 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 relevant teams
What We Are Looking For
- 5+ years of experience in a similar role, with a deep understanding of the TA tech stack and the ability to architect intelligent workflows
- Expertise in AI agent development, automation, and workflow mapping
- Strong technical skills, including proficiency in programming languages such as Python or Java
- Experience with ATS systems, such as Workday or BambooHR
- Strong understanding of recruitment technology and trends
- Excellent communication and project management skills
- Ability to work in a fast-paced environment and prioritize multiple tasks
Nice to Have
- Experience with machine learning frameworks such as TensorFlow or PyTorch
- Knowledge of natural language processing and computer vision
- Familiarity with cloud-based technologies such as AWS or Azure
- Certification in a related field, such as data science or software engineering
Benefits and Perks
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- 401(k) matching program
- Flexible PTO policy and remote work options
- Access to a wide range of training and development programs
- Opportunity to work with a talented and diverse team
How to Stand Out
- Make sure to highlight your technical skills and experience with AI agent development and automation in your application
- Demonstrate a deep understanding of the TA tech stack and the ability to architect intelligent workflows
- Be prepared to provide examples of your experience with machine learning frameworks and natural language processing
- Show a willingness to learn and adapt to new technologies and trends in recruitment
- Don't be afraid to ask questions during the interview process to demonstrate your critical thinking skills
- Keep your resume and online profiles up-to-date and tailored to the role
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