Sr. Manager, Capacity Planning

Together AI•San Francisco, CA

6h•Remote

About The Position

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.

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 Haves

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

Responsibilities

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