Remote-First Capacity Planning Lead, Compliance Ops

Coinbase, Inc.

Montpelier (VT)

Hybrid

USD 109,000 - 128,000

Full time

14 days+

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Job summary

Coinbase, Inc. is seeking an L4 Capacity Planning Lead to join our Compliance Workforce Management team.

You will translate volume trends, staffing assumptions, and business inputs into actionable short- and mid-range capacity plans that help our compliance operation meet regulatory demand efficiently and cost-effectively. The ideal candidate brings deep WFM domain expertise, strong analytical fundamentals, and the ability to operate with ownership and precision in a fast-moving, AI-informed

Qualifications

  • 4+ years in Workforce Management with capacity planning.
  • Proficiency in Excel/Google Sheets and data analysis.
  • Experience with multiple channels and FTE/vendor planning.
  • Ability to model scenarios and translate outputs into actions.
  • Strong written and verbal communication.

Responsibilities

  • Own forecasts and short-range capacity plans across multiple queues.
  • Build and maintain capacity models using hybrid human–AI tooling.
  • Create multi-scenario staffing plans balancing SLAs and cost.
  • Partner with vendor management and BPO to meet targets.
  • Collaborate with Compliance Ops, Finance, and Recruiting on budgets.
  • Analyze forecast misses and improve forecasting methods.
  • Automate planning processes for accuracy and scalability.
  • Communicate risks and recommendations to stakeholders.
  • Use generative AI with human oversight for outputs.

Skills

Workforce Management
Forecasting
Excel/Sheets
Data analysis
Cross-functional communication
AI tooling awareness

Tools

Looker
SQL
WFM platforms (Assembled)

Job description

Coinbase, Inc. is seeking an L4 Capacity Planning Lead to join our Compliance Workforce Management team.

You will translate volume trends, staffing assumptions, and business inputs into actionable short- and mid-range capacity plans that help our compliance operation meet regulatory demand efficiently and cost-effectively. The ideal candidate brings deep WFM domain expertise, strong analytical fundamentals, and the ability to operate with ownership and precision in a fast-moving, AI-informed

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