Talent Operations Manager

Lead and scale the human data engine that powers frontier AI training. This role owns onboarding, talent activation, and client success for high-velocity AI training deployments, operating at the intersection of data, distributed operators, and enterprise delivery.

• Run large-cohort onboarding at scale, delivering fast, clean, zero chaos activations.
• Activate and manage distributed talent pools that power AI training and data operations.
• Build and maintain high-trust enterprise client relationships, driving customer success across ongoing AI deployments.
• Anticipate blockers before they surface, and resolve issues with speed and clarity.
• Publish weekly performance and milestone reports, focused on high signal with no noise.
• Host community syncs and engagement rituals to keep operators sharp and aligned.
• Partner with product and engineering teams to align talent operations with evolving model and client needs.
• Continuously refine onboarding, QA, and retention systems using data, dashboards, and KPIs.

• Elite written communicator, clear, structured, and direct.
• Proven operator in remote, distributed environments, with a deep ownership mindset.
• Comfortable leading 100 plus contributors while maintaining signal and quality.
• Thrives in ambiguity, high velocity, and continuous iteration.
• Data fluency, including dashboards, KPIs, and performance diagnostics.
• Required skills include large scale onboarding, stakeholder management, cross functional collaboration, and leadership skills.
• Preferred experience includes human data, RLHF, AI training pipelines, working with enterprise AI or technical clients, and building or scaling data ops or talent ops systems.
• Familiarity with modern tooling such as applicant tracking systems, analytics platforms, project operations tools, and automation.

• Employment type, full-time.
• Location, remote.
• Role operates across high-velocity AI training deployments and requires coordinating large distributed teams and enterprise stakeholders.

• Listed compensation, $70, 000 to $110, 000 per year.
• Company notice lists a national base pay range of $50, 000 to $70, 000 USD for this full-time position.
• All employees are eligible for equity compensation, and may also receive performance based bonuses subject to role and company policies.
• The company provides a comprehensive benefits package, including up to 100 percent reimbursement for health insurance premiums, paid time off, a 401(k) plan with company match, and additional benefits for a remote first workforce.

• All qualified applicants will receive consideration without regard to race, color, religion, sex including pregnancy, sexual orientation, or gender identity, national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable law.
• All employees are eligible for equity, and potential performance based bonuses as described under Compensation.
• If you need assistance or a reasonable accommodation during the application process, contact support@micro1.ai.

The hiring process uses artificial intelligence tools to assist in candidate screening and assessment, designed to complement human decision making. If you need accommodations during the process, contact support@micro1.ai. Information in this posting about responsibilities, qualifications, compensation, and benefits is provided for informational purposes and does not constitute a binding offer. The company reserves the right to amend or withdraw job details.