People Operations Manager

📋 Description

• Architect and continuously improve the end-to-end People Ops and TA operational stack, embedding AI agents and agentic workflows as the default execution layer across onboarding, offboarding, employee lifecycle changes, and the recruiting funnel.
• Design and deploy AI agents to own routine operational work end-to-end, including onboarding task orchestration, compliance documentation, offer letter generation, interview scheduling, and tier-1 employee queries.
• Use AI to manage and monitor multi-country HR compliance across our six operating regions, building agentic checks that flag risk, surface regulatory changes, and keep our entity-level obligations current without manual tracking.
• Build AI-powered reporting and analytics across the People and TA function, producing real-time dashboards, hiring funnel insights, and operational health metrics that the VP of People and pillar leads can act on without requesting them.
• Run our HRIS, ATS, and broader People tech stack as an integrated, AI-augmented system, evaluating new tools through the lens of agent-readiness and API-first design rather than feature lists.
• Use AI to support the TA function with a focus on pipeline forecasting, recruiting data integrity, and funnel reporting, partnering with hiring managers to embed AI into how they track and interpret hiring data.
• Own benefits administration and vendor management across our US entity, using AI to streamline open enrollment, automate eligibility tracking, and surface utilization insights that inform future benefits strategy.
• Leverage AI to deliver a seamless, high-quality employee experience at scale, anticipating friction points across the lifecycle and deploying agents or workflows to resolve them before they become tickets.
• Drive AI-led process documentation and knowledge management across People Ops, ensuring every workflow is documented in a way that is both human-readable and agent-executable.
• Partner with Finance, IT, and Legal using AI-augmented workflows for cross-functional operations, including headcount planning, system access provisioning, and contract and policy management.
• Coach and uplift the broader People team on AI fluency, agent design, and operational automation, modeling what an AI-forward People Ops function looks like in practice.
• Own AI governance for the People function, ensuring our use of agents and AI tools is compliant, ethical, and aligned with how we handle sensitive employee and candidate data.

🎯 Requirements

• 5+ years of progressive experience across People Operations or HR Ops, with at least some leadership or team lead experience.
• Prior SaaS or high-growth tech experience is essential. You understand how a global, multi-entity People function operates and what breaks at scale.
• Deep, hands-on fluency with AI tools, agent builders, and agentic workflows. You've personally built, deployed, and maintained agents that own real operational work, not just experimented with them.
• Strong technical instincts: comfortable with APIs, integrations, automation platforms (Zapier, Make, n8n, or similar), and prompt engineering as core craft, not adjacent skills.
• Multi-country HR Ops experience strongly preferred but not essential, ideally across some combination of the US, UK, Australia/NZ, Canada, and the Philippines.
• Proven ability to redesign operational processes from the ground up rather than incrementally improve them, with a clear bias toward automation over headcount.
• Working knowledge of US benefits administration, including open enrollment, carrier management, and compliance (ACA, ERISA basics).
• Working knowledge of HR compliance across multiple jurisdictions, with the judgment to know when AI can own a compliance task and when a human must.
• Data fluency: you build operational dashboards, you read funnel metrics natively, and you use AI to go deeper and faster than the tools alone allow.
• A systems thinker who can hold the full operational picture across People Ops, TA, and Benefits simultaneously, and design how they interlock.
• Player-coach mindset: senior enough to operate independently, willing to build and ship the work yourself, with the trajectory and appetite to grow a pillar as we scale.
• Unquestioned integrity, high EQ, and discretion with sensitive employee and candidate data.
• Genuine excitement about where AI is taking the People function, and a strong point of view on what an AI-native HR operation should look like.