We are seeking Capacity Planning Lead to join Coinbase's Consumer (CX) Workforce Management team. This role is central to translating volume trends, staffing assumptions, and business inputs into actionable short- and medium-range capacity plans that help our consumer support operation meet customer 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 planning environment. You'll work at the intersection of forecasting, operations, and cross-functional stakeholder collaboration to ensure CX is always staffed to deliver a high-quality customer experience.
What you’ll do
- Own forecasts and short-range capacity plans across multiple consumer support queues and markets, translating volume, AHT, and shrinkage trends into staffing requirements and coverage plans
- Use hybrid human–AI tooling to build and maintain capacity models that reflect the growing complexity of our support channels and workforce structure
- Create multi-scenario staffing plans that model trade-offs between Customer Experience/Service Levels, Employee Experience, Operational Flexibility, and Cost Effectiveness
- Partner with vendor management and BPO partners to ensure staffing targets and contractual SLAs are met at the interval level
- Collaborate with CX Operations, Finance, and Recruiting to align capacity plans with headcount budgets, growth targets, and business priorities
- Analyze drivers of forecast misses and continuously improve forecasting methodology using statistical and data-driven approaches
- Automate and streamline planning processes to reduce manual effort and increase the accuracy and scalability of outputs
- Clearly communicate capacity risks, dependencies, and staffing recommendations to operational stakeholders and WFM leadership
- Utilize generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
Required skills and experience
- Minimum 4 years of relevant experience in Workforce Management, with demonstrated expertise in capacity planning and forecasting
- Proven ability to build and maintain capacity models, with strong proficiency in Excel and/or Google Sheets; experience with WFM platforms (e.g., Assembled or comparable)
- Experience working across multiple support channels and planning for both FTE and vendor/BPO workforces
- Ability to work with large datasets to identify trends, model scenarios, and translate quantitative outputs into clear operational recommendations
- Strong analytical skills with a data-driven approach to workforce decision-making
- Excellent written and verbal communication skills, with the ability to clearly convey capacity risks and staffing plans to operational and cross-functional stakeholders
- Highly flexible and adaptable to the evolving needs of a high-growth, fast-paced organization
- Nice to haves: Experience with BI tools such as Looker; SQL experience; familiarity with agentic or AI-assisted planning tools; experience in tech or fintech
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
- Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
- Annual base salary range (excluding equity and bonus):
- ₹2,755,300—₹2,755,300 INR
