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Cirrascale Cloud Services

Public IaaS for AI, multi-GPU

Academy Leader

Sales OperationsConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 5 years in revenue roles, including quota-carrying experience.
  • At least 2 years building or running enablement, onboarding, or sales development programs, with tangible examples of programs built.
  • Strong comfort with technical infrastructure concepts and the ability to explain topics such as bare metal versus managed clusters without a script.
  • A genuine teaching instinct and passion for developing others.
  • Demonstrated curriculum and assessment design skills, including rubrics that produce consistent scoring across assessors.
  • Proven ability to lead with and without formal authority across direct and dotted-line teams.
  • Working fluency in a modern pipeline stack, including CRM, sequencer, conversation intelligence, and data providers.

Responsibilities

  • Take the Academy from charter to live program by establishing the cohort calendar, session content, facilitator guides, and Academy playbook of record.
  • Own the four certification gates, each with a written rubric, named assessor, pass threshold, and remediation path.
  • Build a shared core curriculum and branch it into three motion-specific tracks: AI CSP, Public Sector, and Enterprise.
  • Recruit, train, and develop faculty from all three benches, and work with their managers to ensure teaching hours are honored.
  • Translate GPU and accelerator infrastructure into field-ready language, covering bare metal versus managed, training versus fine-tuning versus inference, interconnect, storage throughput, cluster sizing, and total cost of ownership against hyperscalers.
  • Build and maintain the competitive section of the playbook against hyperscalers and specialty AI clouds.
  • Partner with Marketing and Solutions Engineering to deliver field-ready messaging within two weeks of every launch, accelerator release, and partner program.
  • Run weekly live call blocks, message review sessions, objection labs, and recorded call reviews with scorecards.
  • Maintain a published office hours schedule and serve as a hands-on resource for reps ahead of critical calls.
  • Coach, certify, develop, and deliver performance reviews for direct reports; influence the development of the TSR and BDR benches in partnership with their managers.
  • Partner with RevOps to instrument the funnel, measure which sessions drive results, and continuously refine the program.
  • Own program outcomes, including time to first qualified meeting and full ramp by cohort; certification pass rates, time in gate, and remediation outcomes; meeting-to-opportunity conversion and opportunity quality; and new-hire retention through promotion to Account Executive.

Desired Qualifications

  • Experience selling, marketing, or enabling in AI infrastructure, HPC, data center, or cloud; conversance in GPUs, interconnect, and inference economics.
  • Experience applying AI tooling to enablement, such as call analysis at scale, AI practice tools, or automated scorecards.
  • A track record of building an enablement program from the ground up.
  • Public sector, research, or higher education selling experience; familiarity with public sector procurement dynamics.

About the Company

Cirrascale Cloud Services

Public IaaS for AI, multi-GPU

Cirrascale Cloud Services provides dedicated AI-focused cloud infrastructure (public and private bare-metal IaaS) with flat-rate monthly pricing and no data transfer fees. Its Cirrascale AI Innovation Cloud gives access to AI accelerators from NVIDIA, Cerebras, AMD, and Qualcomm, enabling development, training, fine-tuning, and deployment on high-performance hardware with fast networking and scalable storage, plus managed services for setup and access control. It differentiates itself by offering specialized multi-GPU/bare-metal cloud with predictable pricing and no data transfer fees for large-scale operators, startups, researchers, and Fortune 500 clients. The goal is to help customers build and run AI models quickly and at scale using ready-to-use infrastructure and optional hands-on management, reducing the need for in-house DevOps and hardware management.

Company size
51-200
Company stage
Early VC
Total funding
$59.1M
Headquarters
San Diego, CA
Founded
2010

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