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Talent Operations Manager

micro1 is hiring Talent Operations Managers to scale the human data engine behind frontier AI systems. The role focuses on onboarding, talent activation, enterprise client success, and operational excellence across high-velocity AI training and data operations deployments.

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Salary

$50,000 - $70,000 / year

Department

Talent Operations

Experience

Senior Level

Responsibilities

Run large-cohort onboarding programs at scale with a focus on speed, quality, and operational consistency.
Activate and manage distributed talent pools supporting AI training and data operations.
Build and maintain high-trust relationships with enterprise clients.
Anticipate operational blockers and resolve issues quickly with clear, structured decision-making.
Drive customer success outcomes across ongoing AI training and data deployments.
Publish weekly performance and milestone reports focused on high-signal operational metrics.
Host community syncs and engagement rituals to maintain contributor performance and alignment.
Partner with product and engineering teams to align talent operations with changing model and client requirements.
Continuously improve onboarding, quality assurance, and retention systems using operational data.

Skills

Large-Scale OnboardingStakeholder ManagementCross-Functional CollaborationLeadershipTalent OperationsEnterprise Client SuccessData OperationsPerformance ManagementKPI AnalysisRemote Team Management

Requirements

Exceptional written communication skills with a clear, structured, and direct communication style.
Proven experience operating in remote and distributed environments.
Strong ownership mindset with the ability to independently drive operational outcomes.
Experience leading and coordinating 100+ contributors or similarly large distributed teams.
Ability to thrive in ambiguous, high-velocity environments with continuous iteration.
Strong data fluency with experience using dashboards, KPIs, and performance diagnostics.
Experience in human data, RLHF, or AI training pipelines is preferred.
Background working with enterprise AI or technical clients is preferred.
Experience building or scaling data operations or talent operations systems is preferred.
Familiarity with modern ATS, analytics, project operations, and automation tools is preferred.

Benefits

Remote-first full-time opportunity
Equity compensation eligibility
Performance-based bonus eligibility
Up to 100% reimbursement for health-insurance premiums
Paid time off
401(k) plan with company match
Opportunity to work on frontier AI training and data operations
Opportunity to scale distributed talent and enterprise AI operations

Responsibilities

Run large-cohort onboarding programs at scale with a focus on speed, quality, and operational consistency.

Activate and manage distributed talent pools supporting AI training and data operations.

Build and maintain high-trust relationships with enterprise clients.

Anticipate operational blockers and resolve issues quickly with clear, structured decision-making.

Drive customer success outcomes across ongoing AI training and data deployments.

Publish weekly performance and milestone reports focused on high-signal operational metrics.

Host community syncs and engagement rituals to maintain contributor performance and alignment.

Partner with product and engineering teams to align talent operations with changing model and client requirements.

Continuously improve onboarding, quality assurance, and retention systems using operational data.

Requirements

Exceptional written communication skills with a clear, structured, and direct communication style.

Proven experience operating in remote and distributed environments.

Strong ownership mindset with the ability to independently drive operational outcomes.

Experience leading and coordinating 100+ contributors or similarly large distributed teams.

Ability to thrive in ambiguous, high-velocity environments with continuous iteration.

Strong data fluency with experience using dashboards, KPIs, and performance diagnostics.

Experience in human data, RLHF, or AI training pipelines is preferred.

Background working with enterprise AI or technical clients is preferred.

Experience building or scaling data operations or talent operations systems is preferred.

Familiarity with modern ATS, analytics, project operations, and automation tools is preferred.

Benefits

Remote-first full-time opportunity

Equity compensation eligibility

Performance-based bonus eligibility

Up to 100% reimbursement for health-insurance premiums

Paid time off

401(k) plan with company match

Opportunity to work on frontier AI training and data operations

Opportunity to scale distributed talent and enterprise AI operations