Drimva

Meta

People Service Delivery Manager

$178K–$250K

Menlo Park, CA · Manager · Full-time · Posted Sep 30, 2026

Experience
12+ years for large-scale, global transformation or continuous-improvement initiatives; other experience requirements are stated without specific years.
Education
Bachelor's degree in a technical, business, or operations discipline, or equivalent experience.

About the job

Leads Meta’s People Service Delivery Operations, scaling employee support through team leadership, operational transformation, and technical and AI-enabled workflow solutions.

What you'll do

  • Lead and develop the People Service Delivery Operations team, with clear goals, accountability, and sustained service outcomes.
  • Own large-scale operational programs from planning through launch, and set technical direction for tools and systems that improve people-operations workflows.
  • Drive responsible AI, automation, risk management, and cross-functional implementation to improve efficiency and employee experience.

What they ask for

  • 12+ years of experience managing large-scale, global transformation or continuous-improvement initiatives, with demonstrable business results.
  • Experience building and scaling operational teams and designing or operating HR processes across multiple employee-lifecycle stages.
  • Bachelor's degree in a technical, business, or operations discipline, or equivalent experience.
  • Experience with responsible AI practices and integrating AI tools to optimize or redesign workflows; comfortable with TypeScript and React.

Nice to have

  • Experience building internal tooling or automation for HR, payroll, benefits, leaves, accommodations, or other operational functions.
  • Ongoing AI skill development, such as prompt/context engineering or agent orchestration.

Pay

$178,000/year to $250,000/year (base salary); bonus and equity amounts not specified.

Tools

TypeScript, React

AI focus

Drive responsible AI-enabled operational improvements, including automation, workflow optimization, knowledge management, and case deflection; apply governance, risk assessment, bias mitigation, and quality and accuracy reviews.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)