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Shared by 
2 days ago
Requirements and responsibilities
We’re looking for an experienced Talent Operations Manager to help scale the human data engine behind frontier AI systems. This role sits at the intersection of talent operations, client success, onboarding, and AI deployment, making it ideal for professionals who thrive in fast-paced, high-growth environments.Key RequirementsExperience managing large-scale onboarding and talent operationsStrong stakeholder management and client relationship skillsProven success leading distributed and remote teamsExcellent written communication and reporting abilitiesStrong cross-functional collaboration skillsExperience managing large contributor networks (100+ contributors preferred)Data-driven mindset with experience tracking KPIs and performance metricsStrong ownership mentality and problem-solving abilitiesNice to HaveExperience with Human Data, RLHF, or AI training operationsExperience supporting enterprise AI or technical clientsBackground in scaling talent operations or data operations teamsFamiliarity with ATS platforms, analytics tools, automation, and project management systemsExperience working in high-growth startup environmentsKey ResponsibilitiesLead large-scale onboarding initiatives with speed, quality, and operational excellenceActivate and manage distributed talent pools supporting AI training operationsBuild and maintain strong relationships with enterprise clients and stakeholdersDrive customer success outcomes across ongoing AI deploymentsPublish performance reports, milestone updates, and operational insightsOrganize engagement programs and community initiatives for contributor networksPartner with Product and Engineering teams to align talent operations with business goalsContinuously improve onboarding, quality assurance, and retention processes using dataThis is an excellent opportunity for operations leaders who enjoy building scalable systems, managing talent at scale, and driving success across AI-focused programs.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)