Talent Operations Manager | Remote

Talent Operations Manager | Remote

Posted Today by Crossing Hurdles

Negotiable
Undetermined
Remote
EMEA

Summary: The Talent Operations Manager is responsible for overseeing large-cohort onboarding processes and managing distributed talent pools for AI training and data operations. This remote role requires building strong relationships with enterprise clients and driving successful outcomes in AI deployments. The manager will also publish performance reports and resolve issues proactively to ensure smooth operations. Proven experience in remote environments and strong communication skills are essential for success in this position.

Key Responsibilities:

  • Run large-cohort onboarding at scale, ensuring a fast and organized process.
  • Activate and manage distributed talent pools that support AI training and data operations.
  • Build and maintain strong relationships with enterprise clients to foster trust.
  • Anticipate potential blockers and resolve issues swiftly and effectively.
  • Drive successful customer outcomes across ongoing AI deployments by monitoring performance.
  • Publish weekly performance and milestone reports that provide clear insights.

Key Skills:

  • Proven experience operating in remote and distributed environments.
  • Elite written communication skills that are clear and structured.
  • Deep ownership mindset, taking full responsibility for their work.
  • Comfortable leading large teams of over 100 contributors.
  • Data-fluent, with experience in dashboards, KPIs, and performance diagnostics.

Salary (Rate): £70,000.00/year

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:

Position: Talent Operations Manager

Type: Full-time

Compensation: $70K - $110K/yr

Location: Remote

Role Responsibilities

  • Run large-cohort onboarding at scale, ensuring a fast and organized process.
  • Activate and manage distributed talent pools that support AI training and data operations.
  • Build and maintain strong relationships with enterprise clients to foster trust.
  • Anticipate potential blockers and resolve issues swiftly and effectively.
  • Drive successful customer outcomes across ongoing AI deployments by monitoring performance.
  • Publish weekly performance and milestone reports that provide clear insights.

Requirements

  • Have proven experience operating in remote and distributed environments.
  • Possess elite written communication skills that are clear and structured.
  • Demonstrate a deep ownership mindset, taking full responsibility for their work.
  • Be comfortable leading large teams of over 100 contributors.
  • Be data-fluent, with experience in dashboards, KPIs, and performance diagnostics.

Application Process

  • Easy Apply on LinkedIn
  • Check email for next steps
  • Participate in resume evaluation & interview stage