It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
The Role
Cash App is looking for a Workforce Management Long-Range Planner to lead strategic forecasting that ensures we’re prepared to meet customer demand today and in the years ahead. You’ll own the demand side of the WFM equation, developing and refining forecasts of support needs 1 to 36 months out. Your work will guide staffing strategy across internal and partner teams and serve as the foundation for short-range and real-time planning.
In this role, you'll translate complex data into actionable outlooks, drive cross-functional alignment on forecast assumptions, and proactively flag where upcoming gaps may impact service. You’ll ensure interval-level requirements are accurate, so our teams can confidently deploy the right resources at the right time.
This role is ideal for someone who is both strategic and hands-on - comfortable operating independently, influencing stakeholders, and continuously improving the planning process.
You Will
- Forecast future demand: Own and evolve long-range forecasts of intraday support needs across all channels and segments, covering a 1-36 month horizon.
- Generate interval-level requirements: Translate forecasted volume and handle time into accurate interval-level staffing requirements that downstream teams can plan against.
- Drive monthly staffing requirements: Produce and maintain internal and vendor production hour orders that reflect business needs, partner constraints, shrinkage assumptions, and scenario inputs.
- Model business impacts: Assess how changes in product, policy, staffing, or process will affect support demand and scenario-based ROI analyses to recommend proactive adjustments.
- Tell a clear planning story: Summarize inputs, tradeoffs, and decisions in a clear and compelling way for Operations, Finance, Vendor Management, and Real-time Planning.
- Improve forecasting tools and processes: Partner with Engineering, Data Science, and WFM peers to improve automation, accuracy, and scalability of long-range forecasts.
- Maintain forecast integrity: Ensure forecast inputs (volume, handle time, shrinkage, events) are vetted, up to date, and reflect the best available understanding of future conditions.
- Maintain financial impacts and overlays to long range plan: Build and sustain a dynamic financial overlay model that maps headcount and capacity forecasts to budget line-items quantifying staffing cost drivers, tracking forecast-to-budget variances,, and translating workforce metrics into P&L outcomes to inform strategic investment decisions.
- Operate with expert level of autonomy: Operate with minimal instruction on day-to-day tasks, relying on professional expertise and autonomy. Demonstrates initiative and adaptability in handling evolving priorities and assignments to meet performance and operational objectives.
You Have
- 4+ years of experience in Workforce Management, with at least 2 years focused on long-range forecasting or capacity planning
- Proven ability to build, explain, and improve statistical and operational forecasts across multiple time horizons in short turn around timing
- Experience producing and refining interval-level staffing requirements
- Proficiency in R, Python, or similar statistical tools; and strong skills in Excel/GSheets
- Intermediate to advanced SQL skills; ex