Senior Ops Lead - High-Impact AI Data Projects (Equity)

Mercor

London

On-site

NOK 1,129,000 - 1,882,000

Full time

14 days+
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Benefits offered by this job

Proximity bonus
Meals stipend
Gym membership
Laundry reimbursement
Wellness reimbursement
Private medical insurance
Pension

Job summary

Mercor is an AI data company building the layer between human expertise and frontier models. We operate in-person five days a week in San Francisco, NYC, or London offices.

As an SPL, you will drive multi-million-dollar projects, build deep client relationships with researchers at top AI labs, and orchestrate the work of 1,000+ contributors. This hands-on operations role rewards grit, fast iteration, and high-impact execution, with performance incentives and meaningful equity.

Qualifications

  • Experience in consulting, finance, startups, or other operationally intense environments.
  • Strong analytical and communication abilities; proven track record of managing complex projects.
  • Customer-facing experience with high-profile clients.
  • Excited by gritty process optimization and large-scale execution.

Responsibilities

  • Design and manage end-to-end data pipelines, from customer specifications to final delivery.
  • Diagnose bottlenecks, restructure workflows, and improve quality and cost-efficiency.
  • Source, vet, train, and performance-manage domain experts.
  • Maintain high execution standards across all stages of production.

Skills

Operational experience
Analytical skills
Client management
Process optimization

Job description

Mercor is an AI data company building the layer between human expertise and frontier models. We operate in-person five days a week in San Francisco, NYC, or London offices.

As an SPL, you will drive multi-million-dollar projects, build deep client relationships with researchers at top AI labs, and orchestrate the work of 1,000+ contributors. This hands-on operations role rewards grit, fast iteration, and high-impact execution, with performance incentives and meaningful equity.

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