Senior TA Operations Specialist
Own TA technology infrastructure including ATS configuration, integrations, AI agent development, and automation. Lead governance, compliance, and roadmap for recruiting tech stack.
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
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