Sales Planning Analyst

About Cirrascale Cloud ServicesCirrascale Cloud Services provides high-performance cloud infrastructure purpose-built for deep learning, generative AI, and large-scale AI inference workloads. We specialize in dedicated GPU cloud solutions tailored to the unique needs of startups, research labs, and enterprise AI teams. Our mission is to accelerate AI innovation by combining powerful hardware with white-glove service and flexible, custom-built environments.Position OverviewThis role runs the capacity planning function in Revenue Operations to assist the sales teams for GPU inventory, data center space, and power, owns the backstop program that unlocks new capacity, and operates the business management office cadence that keeps demand, supply, and commitments reconciled.The role is the single point of integration across five forecasts: Sales, Sales Engineering, Operations, Finance, and Customer Success. No other role sees the full picture, which is what makes the integrated view possible.Capacity is the binding constraint on growth. Deals are sized and quoted against inventory and sites that may not yet be secured, lead times that move, and power that has to be contracted before it can be sold. This role exists to make that constraint visible early, plan against it deliberately, and run the programs that relieve it.This is a foundational business management office role in Revenue Operations. It reports to the Head of Revenue Operations and partners closely with Sales, Sales Engineering, Alliances, Finance, Customer Success, Operations, and the data center and infrastructure teams. It is a senior individual contributor role: the work is owned end to end, with influence rather than direct authority across the functions it touches.Key ResponsibilitiesIntegrated Forecast and S&OPOwn the integrated capacity forecast: the single reconciled view assembled from five independent inputs, each owned by a different function.Sales forecast (Sales). Pipeline, committed bookings, and expected close timing translated into capacity demand by product, quantity, and dateTechnical forecast (Sales Engineering). System configurations, power draw, network and infrastructure requirements behind what Sales is quotingData center forecast (Operations). Site availability, rack and space capacity, energization timelines, and deployment throughputFinance forecast (Finance). Capital allocation required to meet the plan, timing of capital deployment, and funding constraintsCustomer forecast (Customer Success). Where existing customers are placed, upcoming renewals, expirations, expansions, and capacity that will free up or need to be heldResponsibilities against those inputs:Establish the cadence, templates, data definitions, and submission deadlines that make each function's forecast comparable and combinableReconcile the five views into one integrated plan, and resolve the conflicts between them rather than passing them upward unresolvedIdentify where the forecasts disagree and quantify the consequence: Sales expects delivery in a quarter Operations cannot energize, or Finance has not allocated capital for the capacity Sales has already quotedMaintain the integrated forecast as the single source of truth for capacity planning, used by Sales, Operations, Finance, and leadership alikeRun the recurring S&OP review where the five functions align on one plan, with a documented decision logTrack forecast accuracy by input, feed variance back to each owning function, and drive accuracy improvement over timeProgram ManagementOwn end-to-end program plans, milestones, and dependency maps for multi-team initiatives spanning capacity, supply, systems, and process workDefine program scope, success metrics, and decision points up front, and drive programs from definition through delivery and retrospectiveIdentify risks, blockers, and resourcing gaps early, and drive them to resolution rather than reporting themRun the planning cadences, working sessions, and decision logs that keep multi-team programs moving and accountableProvide clear, candid status reporting on programs, decisions, and risks to Revenue Operations and executive leadershipManage change into the field and the business: plan communications, timing, and rollout so new processes are adopted rather than worked aroundFollow through after launch to confirm each program had its intended effect, and retire or simplify processes that no longer serve their purposeBackstop ProgramOwn the backstop program end to end: the process by which investment-grade partners vouch for the debt behind new data center and GPU capacityBuild and run the backstop flywheel: pipeline of candidate partners, qualification criteria, deal structure patterns, and the repeatable process that turns a partner conversation into secured capacityMaintain the backstop pipeline as a tracked, forecastable asset with stage definitions, expected capacity unlocked, and timingPartner with Alliances and the CRO on partner-facing backstop conversations, and with Finance on the structures that make a backstop bankableReport backstop status, risk, and capacity implications into the executive cadenceCapacity Demand PlanningBuild and own the medium-range demand forecast for GPU capacity, data center space, and power, driven by the sales pipeline, quote flow, and committed contracts rather than trend linesTranslate the quote and opportunity pipeline into resource requirements by product family, site, quarter, and power envelopeDistinguish clearly between forecast, plan, and allocation, and hold the organization to that distinctionQualify significant incoming capacity against the demand forecast before commitment: right product, right site, right quarter, and the supporting envelope of power, space, and network to actually deliver itModel scenarios and sensitivities so leadership can see what a slipped site or a pulled-forward deal does to the planSupply, Site, and Lead Time ReconciliationReconcile demand against orders, inventory on hand, inbound supply, and vendor lead times, and flag the gap before it hits a customer commitmentMaintain the capacity data layer: the canonical view of what is ordered, what is racked, what is allocated, and what is genuinely available to sellRun the plan-versus-reality loop on a fixed cadence: diff planned allocations against actual deployment and utilization, surface stale or unrecorded allocations, and drive variance toward zeroChase discrepancies to ground, since a miscounted rack or an unassigned site today becomes a missed delivery date laterClose the data gaps that prevent accurate planning, including site assignment and power requirements at time of quoteAllocation and Sales SupportOperate the allocation process: who gets which capacity, in what sequence, and on what basis when demand exceeds supplySupport the sales teams directly on capacity questions: what can be sold, from which site, on what timeline, and at what power envelopeSupport deal-level capacity commitments in partnership with Deal Desk and Sales, confirming that what is being sold can be delivered on the promised timelineBring a defensible framework to prioritization decisions across segments, deal sizes, and strategic accounts, and make the tradeoffs visible rather than resolving them informallyEscalate capacity conflicts early with a recommendation, not just a flagBusiness Management Office CadenceRun the operating rhythm for capacity: the recurring reviews where demand, supply, backstop progress, and constraints are reconciled with Sales, Operations, and FinanceBuild and maintain the capacity views and dashboards that planning, procurement, and leadership run on, refreshed automatically rather than rebuilt by handProduce executive and board-ready reporting on capacity position, constraint risk, and backstop pipelineDocument process, decision rights, and data definitions to an auditable standard so the function survives handoff and scaleCross-Functional ExecutionAct as the bridge between commercial teams who sell capacity and the technical teams who deliver it, translating requirements in both directionsDrive coordination across Sales, Sales Engineering, Revenue Operations, Operations, Finance, Alliances, and Customer SuccessPartner with Revenue Operations and the data teams to systematize capacity data capture at the point of quoteInfluence without authority and build alignment across teams with competing prioritiesRequired Qualifications7+ years of experience spanning capacity planning, demand or supply planning, technical program management, or business operations in a hardware-intensive or infrastructure environmentExperience running an S&OP or integrated business planning process across multiple functions, reconciling independently owned forecasts into a single planDemonstrated experience leading complex, cross-functional programs from definition through delivery, including programs with a significant systems or data componentDirect experience planning capacity for large-scale technical infrastructure: cloud, neocloud, data center, HPC, or a comparable internal platformProficiency with core program management practices and tooling: building plans, tracking dependencies, running planning cadences, and managing riskDemonstrated ability to build the model yourself rather than specify it for someone else, with advanced Excel required and SQL strongly preferredTrack record building models that survive contact with messy source data, and reconciling relentlessly so the numbers tie out or the variance is explainedWorking understanding of data center resource classes and why headline chip count is rarely the binding constraintAbility to translate an analysis into an action: order now, shift that, escalate thisStrong written and verbal communication, including the ability to distill technical and operational detail for sales and executive leadershipTrack record of influencing without authority and building alignment across teams with competing prioritiesBachelor's degree in a technical, financial, or operational field, or equivalent practical experiencePreferred ProfileData center or colocation delivery experience: power and space planning, site acceptance, energization timelines, and vendor managementExperience with GPU or accelerator fleets, including procurement lead times and hardware generation transitionsFamiliarity with capacity commitments, reserved capacity structures, or private offers with cloud and neocloud providersExposure to project or asset financing, debt structures, or partner-backed capital arrangementsExperience building a program management framework or a programs function in a rapidly scaling organizationProficiency with program management tooling such as Jira, Confluence, or equivalentComfortable operating in a high-growth environment with evolving processes and cross-functional ambiguityPrefers simple, inspectable models to clever opaque ones, and instruments their own forecast errorAutomates refreshes rather than rebuilding by handOperates with autonomy: takes scope without being asked and drives it to resolution without waiting for perfect informationCompensation and BenefitsWe are committed to supporting the people who help us grow. We offer a competitive compensation package that includes base salary, performance bonuses and stock option opportunities.The base salary range for the Sales Planning Lead is $145,000 to $185,000. This pay range reflects the broad, minimum to maximum, pay range for this job for the location for which it has been posted. Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data.Our benefits package includes comprehensive medical, dental, vision coverage, 401(k) with company match, generous paid time-off and professional development support.Why Join Cirrascale?Join a growing team that's pushing the boundaries of AI infrastructure. At Cirrascale, you’ll contribute to projects powering next-generation AI applications while working with top-tier hardware in a collaborative and innovative environment. From custom deployments to hands-on customer support, every role here plays a part in enabling breakthroughs in AI.Apply