Senior TA Operations Specialist

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

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