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As a Senior Manager of Capacity Engineering focused on the Infrastructure org, you will play a critical leadership role in shaping Dropbox’s long-term infrastructure and cost efficiency strategy. You’ll lead a high-impact team responsible for planning, forecasting, and optimizing capacity across our hybrid cloud and on-prem environments.
Impact Areas: You will own key areas including strategic capacity planning, infrastructure cost optimization, and cross-functional alignment with finance, engineering, and product. Your leadership will directly impact Dropbox’s ability to scale efficiently, improve gross margin, and maintain reliability at massive scale.
What You Will Gain: You will drive strategic initiatives and influence high-stakes decisions across Dropbox’s infrastructure stack. This role offers extensive exposure to senior leadership, the opportunity to lead a high-performing team, and a platform to shape foundational systems that support 700M+ users. You’ll operate in a dynamic, collaborative environment with strong visibility and the ability to deliver measurable business impact.
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Responsibilities- CapEx Optimization and Infra Cost Strategy: Own and optimize a capital budget. Drive long-term strategies that align infrastructure investments with Dropbox’s gross margin goals, balancing reliability and cost across global workloads.
- Hybrid Infrastructure Planning: Shape the strategic direction of Dropbox’s hybrid cloud footprint. Lead public vs. private cloud trade-off decisions, grounded in TCO models and long-term infrastructure lifecycle analysis.
- Forecasting and Demand Planning: Build and refine multi-year capacity forecasts that translate product and user growth into infrastructure requirements. Guide decisions across build-vs-buy, lifecycle management, and risk mitigation.
- Infra Cost Strategy and Visibility: Partner with finance and infrastructure leadership to improve cost observability and efficiency. Lead initiatives to reduce total cost of ownership (TCO) across cloud and on-prem environments.
- Tooling and Automation: Oversee the design and adoption of planning and optimization tools, including automation pipelines and dashboards that enable real-time capacity insights and agile planning.
- Cross-Functional Alignment: Act as the connective tissue between infrastructure, product, engineering, finance, Supply Chain and data center operations to ensure technical and financial alignment across planning cycles.
- Team Leadership: Manage and grow a high-performing team with expertise in capacity engineering, forecasting, and infrastructure automation. Foster a culture of ownership, rigor, and continuous improvement.
- BS or MS degree in Computer Science, Operations Research, Industrial Engineering, or Mechanical Engineering or equivalent technical experience
- 15+ years of experience in capacity planning, supply chain optimization, and manufacturing operations, with 5+ years in cross-functional leadership roles.
- Proven track record leading large-scale capacity planning efforts, multi-year infrastructure strategies, and cost optimization initiatives across hybrid environments.
- Strong command of global forecasting cycles, demand-supply alignment, S&OP, and financial modeling.
- Demonstrated ability to drive infrastructure utilization and cost efficiency through close partnership with engineering, finance, product, and operations.
- Skilled in translating complex data into actionable insights for executive stakeholders.
- Experienced in building and scaling planning systems and automation to improve visibility, agility, and operational effectiveness.
- Excellent executive communication and stakeholder management skills, with a history of delivering high-impact global programs.
- Background in operations research, optimization, or industrial engineering applied to infrastructure or manufacturing systems.
- Hands-on experience managing infrastructure forecasting and capacity planning across hybrid environments.
- Experience working in high-scale technology environments (e.g., hyperscalers, logistics platforms, or hardware-focused teams).
- Familiarity with or willingness to engage with public cloud cost modeling, data center supply chain systems, and TCO analysis frameworks.
- Strong executive communication and a proven ability to translate technical complexity into actionable business insights.
