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Senior Manager Global Capacity and Operational Planning

United States, San Francisco 204000.00 - 255000.00 USD / Year · Job Posted May 05, 2026
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Job Description

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community Support org handles tens of millions of interactions yearly, engaging with Airbnb customers by phone, messaging, chat, or social media channels. The group handles hundreds of issues across categories including Cancellations, Account Issues, Refunds, Payments, Reservations, Extenuating Circumstances, Booking & Listing issues, Safety & Claims. The organization is globally distributed with offices in San Francisco, Dublin, Montreal, Seattle, Singapore, Manila, Gurgaon and an extensive partner network serving all regions.

Job Responsibility

  • Lead demand forecasting and long-term planning strategy across multi-channel contact center operations for Global Operations team
  • Own short-term, mid-term, and long-term demand forecasting across all Global Operations teams and channels
  • Design, develop, and maintain statistically robust demand forecasting models using time series and machine learning techniques
  • Perform trend, seasonality, and variance decomposition
  • detect structural breaks, outliers, and demand anomalies
  • Quantify forecast uncertainty through confidence intervals, error distributions, and bias analysis
  • Lead scenario modeling for peak demand periods, product launches, growth initiatives, and unplanned demand events
  • Continuously assess model performance using statistical accuracy metrics
  • Establish model governance standards
  • Research, prototype, and implement new forecasting and optimization techniques
  • Perform scenario planning and sensitivity analysis to quantify trade-offs between service levels, cost, and utilization
  • In partnership with Analytics and Data Engineering team, design and build scalable planning data pipelines, dashboards, and automate forecasting and capacity models
  • Use SQL and Python to extract, transform, and analyze large-scale operational datasets
  • Present forecast assumptions, methodologies, risks, trade-offs, and recommendations in clear, executive-ready formats
  • Align cross-functional stakeholders to embed planning outputs into execution and operational decision-making
  • Identify and implement process improvements, automation, and best practices in demand and capacity planning
  • Lead, mentor, and develop planning analysts
  • Review and approve forecasting and capacity models
  • Set clear goals, high performance expectations, and career development paths for the team
  • Foster a culture of data-driven decision-making, accountability, and continuous improvement

Requirements

  • 12+ years of experience in demand forecasting, capacity planning, workforce analytics, or applied analytics
  • 5+ years of people management experience
  • Bachelor’s degree in Mathematics, Statistics, Operations Research, Engineering, Economics, Data Science, or a related quantitative field
  • Strong foundation in probability, statistics, and optimization
  • Hands-on experience building and validating forecasting models (time series analysis, exponential smoothing, ARIMA, regression, hypothesis testing) and capacity models (Erlang, queueing theory, service-level and utilization modeling)
  • Advanced analytical skills with strong proficiency in Excel, Google Sheets, SQL, Python and data visualization tools such as Tableau
  • Strong business acumen with the ability to balance cost efficiency and customer experience outcomes
  • Excellent communication, executive presentation, and stakeholder influence skills
  • ability to explain complex analytical concepts to non-technical audiences
  • Comfortable operating in fast-paced, ambiguous, and highly dynamic environments
  • Strong understanding of contact center metrics (AHT, ASA, service level, shrinkage, occupancy)

Nice to have

  • Experience supporting large-scale, multi-site, or global contact center environments
  • Experience with WFM tools (e.g., NICE, Verint, Aspect) or planning platforms (e.g., Anaplan)

What we offer

  • Bonus
  • Equity
  • Benefits
  • Employee Travel Credits

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