About this role

Job Title: Talent Operations Manager Scale the human data engine behind frontier AI systems. Own onboarding, talent activation, and client success across high-velocity AI training deployments. Operate at the intersection of data, operators, and enterprise delivery. What You'll Own • Run large-cohort onboarding at scale (fast, clean, zero chaos). • Activate and manage distributed talent pools powering AI training + data ops. • Build and maintain high-trust enterprise client relationships. • Anticipate blockers before they surface — solve with speed and clarity. • Drive customer success outcomes across ongoing AI deployments. • Publish weekly performance + milestone reports (no noise, high signal). • Host community syncs / engagement rituals to keep operators sharp. • Partner with product + engineering to align talent ops with shifting model and client needs. • Continuously refine onboarding, QA, and retention systems using data.

Skills

Large Scale OnboardingStakeholder ManagementCross-functional CollaborationLeadership Skills

Required skills & qualifications

Elite written communicator.
Clear.
Structured.
Direct.
Proven operator in remote, distributed environments.
Deep ownership mindset — you don't "manage," youown.
Comfortable leading 100+ contributors without losing signal.
Thrives in ambiguity, velocity, and constant iteration.
Data-fluent — dashboards, KPIs, performance diagnostics.

Preferred qualifications

Experience in Human Data, RLHF, AI training pipelines.
Background working with enterprise AI or technical clients.
Built or scaled data ops / talent ops systems before.
Familiar with modern tooling (ATS, analytics, project ops, automation).

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