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Sr. Manager, Capacity Planning

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Together AI

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Location:
United States , San Francisco

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Category:
IT - Administration

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Contract Type:
Not provided

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Salary:

230000.00 - 260000.00 USD / Year
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Job Description:

This role owns the intersection of customer demand and compute supply: forecasting how much capacity we need, deciding which products/services get allocated capacity, and building the systems to make those decisions repeatable. You will work across GTM, Strategic Finance, and Infrastructure Engineering to turn demand planning into a structured, data-driven function, directly impacting revenue per GPU and how efficiently we scale our compute fleet.

Job Responsibility:

  • Run demand forecasting in partnership with GTM and Strategic Finance, translating customer pipeline and usage data into the capacity signals that drive supply planning decisions
  • Create demand planning model based on existing utilization and growth metrics
  • Define Supply Plan to deliver on demand forecast
  • Partner with Strategic Finance on capital allocation inputs, providing the demand and utilization data that informs capacity investment decisions and revenue modeling
  • Own capacity allocation decisions, matching demand to available compute resources and making trade-off recommendations
  • Design and build allocation tooling and dashboards, defining requirements, working with engineering or using low-code tools to automate tracking of customer commitments, capacity utilization, and reallocation workflows
  • Define and maintain capacity health metrics (fleet utilization, revenue per GPU, committed vs. available capacity) and reporting that gives leadership and GTM visibility into allocation status and risks

Requirements:

  • 7+ years of experience in capacity planning, demand planning, revenue operations, supply chain or infrastructure strategy within cloud, AI/ML, or a high-growth technology environment, with a track record of building or scaling a planning function
  • Experience partnering with GTM teams to translate pipeline and usage data into capacity or supply planning decisions
  • Strong quantitative skills: able to build and own forecasting models, utilization analyses, and scenario planning frameworks in SQL and spreadsheets
  • Python is a plus
  • Experience designing or improving operational workflows such as allocation systems, intake processes, or cross-functional planning cadences
  • Ability to synthesize competing inputs (customer commitments, infrastructure timelines, financial targets) into clear allocation recommendations under constraints
  • Ability to drive alignment across engineering, finance, and go-to-market stakeholders
  • Strong written and verbal communication skills, with the ability to present complex trade-offs clearly to senior leadership

Nice to have:

  • Experience at a cloud provider, AI infrastructure company, or hyperscaler working on capacity allocation, fleet planning, or compute economics
  • Experience running or contributing to a deal desk process, including capacity checks, pricing approvals, or custom configuration reviews
  • Familiarity with GPU workload characteristics (training vs. inference, model size, throughput/latency trade-offs) and how they influence resource planning
  • Background in building dashboards or lightweight tooling to operationalize planning workflows
What we offer:
  • competitive compensation
  • startup equity
  • health insurance
  • other benefits
  • flexibility in terms of remote work

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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