6-month contract role maintaining an established Workforce Management (WFM) function during leadership leave. Validate AI demand forecasts, build staffing schedules, manage BPO capacity, co-own labor cost models with Finance, and deliver hiring recommendations amid high-growth.
Salary not listed
Remote4+ YOERevenue Operations
About the role
Key Responsibilities
Workforce Management & Capacity Planning
Run demand forecasting and capacity planning using AI model outputs - validate projections, apply bias corrections, and translate forecasts into interval-level staffing plans. Inputs include demand trends, seasonality, product launches, and marketing activity.
Maintain, update, and improve existing staffing models (headcount-to-volume alignment, SLA modeling, scenario planning) as inputs change.
Build and distribute weekly schedules; coordinate with Team Leads on shift coverage, gaps, and real-time adjustments.
Drive resource planning for new initiatives, including shift coverage for new channels, skill-based routing changes, and staffing implications of product or geographic launches.
Own BPO forecast and capacity planning: translate volume projections into vendor capacity needs and flag misalignment early.
Process contractor invoices on cadence.
Manage schedule publishing and headcount updates.
Operational Optimization
Co-own the monthly Finance labor cost model review, prepare inputs, flag variances, maintain the rolling forecast.
Work with Product, Engineering, Marketing and Support teams to stay ahead of feature rollouts and changes that will impact volume or staffing needs, and feed those inputs into the forecasting and planning cycle.
Deliver hiring plan recommendations tied to volume projections, attrition trends, and batch hiring constraints.
Track and report on OKRs: prepare leadership updates, maintain KR tracking, flag risks to targets.
Stakeholder & System Coordination
Serve as the primary WFM point of contact for Ops leadership, Finance, and cross-functional partners during the engagement.
Collaborate with Data Science on predictive model refinement and operational dashboard development.
Own and scale CRM systems, processes, analytics, and forecasting for Cape's go-to-market engine. Hands-on with Salesforce data modeling, pipeline reporting, deal desk, and cross-functional enablement for Business Development, Ops, and Finance teams. Requires 4+ years RevOps/SalesOps experience, strong Salesforce and analytical skills.
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Salary not listed
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