Talent Operations Manager

Re:Build Manufacturing

10h•$160,000 - $190,000

About The Position

Re:Build seeks a hands-on Recruiting Operations Manager to architect and build our AI-enabled talent acquisition function. Your most important qualification is expert-level experience deploying reliable AI workflows that deliver measurable results, not just using AI tools or creating demonstrations. We have budget, internal resources, and support from our Digital Innovation Group. Our technology environment includes but does not have to be limited to Greenhouse ATS, Clay, LinkedIn Recruiter, Textio, and Criteria.

Requirements

Personally delivered multiple AI-enabled workflows into sustained use, including recruiting applications, with measurable results.
Production experience with conversational agents, trusted knowledge sources, connected systems, multi-step tasks, and human escalation.
Hands-on fluency with APIs, webhooks, structured data, automation platforms, and AI-assisted development; able to build independently and guide technical partners.
Strong recruiting operations, analytics, and change-management expertise, with the judgment to distinguish technology needs from process or capacity issues.

Nice To Haves

Experience with our tools, manufacturing, engineering, skilled-trades, or multi-business recruiting is valuable. Exact-tool experience does not replace demonstrated AI implementation expertise.

Responsibilities

Own the roadmap from workflow design and prototyping through deployment, adoption, and improvement. Determine when to configure, integrate, buy, or build.
Deploy hiring-team and candidate-facing agents for requisition intake, process guidance, scheduling, and updates, with authorized system actions and human handoffs.
Own system configuration, integrations, data quality, documentation, and vendor performance; reduce administrative work and unnecessary tools.
Partner with Finance on workforce planning. Track on-time hiring against fill dates set at requisition opening, recruiter capacity, user experience, costs, and AI impact.
Partner with recruiters, hiring leaders, Digital Innovation, and IT to build practical AI capabilities and turn prototypes into adopted, supported workflows.
Establish testing, monitoring, access controls, data protection, accessibility, and fairness safeguards, preserving human accountability for hiring decisions.