Director, Capacity Planning

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. What You’ll Be Doing & Why It Matters Salesforce is seeking a high-impact Capacity Planning Director to drive multi-million dollar, strategic infrastructure decisions that directly safeguard and power our global platform health. Capacity Planners scope, analyze, and forecast the massive infrastructure demand supporting our diverse product portfolio at global scale. In this executive-facing leadership role, you will work across functions, leveraging deep technical expertise and advanced forecasting to influence and inform executive decision-making. This leader will work closely with senior product owners, engineering leads, and technical service teams across Salesforce. You will synthesize disparate data streams to establish custom models, directly shaping multi-million dollar capital allocation and infrastructure investments. Partnering with top-level executive leadership, you will evaluate architectural frameworks, product and design roadmaps, go-to-market strategies, and user growth models to ensure long-term capacity health and operational efficiency. In this role, you will manage both financial and availability risk across software and hardware. You will need the ability to dive deep technically with relevant engineering teams and ask probing questions. It is also critical that you can context switch and operate both at the tactical, short-term execution level and the longer term, multi-year, strategic level. Deep strategic knowledge of public cloud infrastructure (AWS, GCP, Azure) and multi-substrate architectural boundaries is essential to drive high-stakes trade-offs and portfolio-wide resource planning. The role requires comfort with data-driven storytelling, strategic acumen, and the ability to build trust at the highest organizational levels. As a steward of Salesforce’s long-term infrastructure investment strategy, your vision and leadership will influence critical multi-million dollar business outcomes. Core Responsibilities & Scope • Enhance a trusted capacity planning data foundation that reconciles service demand, infrastructure utilization, cloud reservations, supplier availability, and cost, with clear metric definitions, ownership, and automated quality checks. • Lead the development and validation of demand forecasts and scenario models that quantify uncertainty, capacity shortfall risk, and the cost of excess capacity. Track forecast accuracy and bias, and use actual results to improve planning assumptions. • Manage a team of 3-5 capacity planners who manage reservations for various subsets of service owners across multiple IaaS providers. • Establish a trusted capacity planning data foundation that reconciles service demand, infrastructure utilization, cloud reservations, supplier availability, and cost, with clear metric definitions, ownership, and automated quality checks. • Lead the development and validation of demand forecasts and scenario models that quantify uncertainty, capacity shortfall risk, and the cost of excess capacity. Track forecast accuracy and bias, and use actual results to improve planning assumptions. • Apply AI assistants and agent workflows to automate data investigation, variance analysis, scenario preparation, and executive reporting. Measure improvements in planning cycle time and analytical quality, with human review of consequential recommendations. • Develop the team’s SQL, Python, statistical modeling, and AI capabilities through coaching, reusable analytical methods, and peer review. • Apply AI assistants and agent workflows to automate data investigation, variance analysis, scenario preparation, and executive reporting. Measure improvements in planning cycle time and analytical quality, with human review of consequential recommendations. • Develop the team’s SQL, Python, statistical modeling, and AI capabilities through coaching, reusable analytical methods, and peer review. Minimum Requirements • Candidate should have 7+ years of experience in operations, business intelligence, strategy, capacity planning, financial modeling, analytics or similar positions in a related field • Strong analytical skills with experience consolidating complex datasets across various unconnected systems and platforms to tell a clear story. • Fundamental knowledge of systems infrastructure and how services interact with the underlying hardware • Experience building statistical models • Proven track record using data to influence, advise, and align C-suite and board-level executives at large public companies on complex, high-stakes infrastructure and financial investments • Experience presenting data in a consistent and repeatable manager to various stakeholders • Attention to detail with a focus on data quality • BA/BS in Statistics, Economics, Business, Operations, or Computer Science/Engineering is preferred. Equivalent degree, or experience is equally acceptable. • Proficiency with SQL, Python, Claude skills/MCP and prompt engineering experience • Experience in capacity management, planning, forecasting and scheduling is a plus Preferred Qualifications • SQL and Python: Hands-on proficiency writing SQL with joins, aggregations, a