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Applied Compute

Custom AI models and enterprise agents

Strategic Partnerships Lead - Cloud

Business Development & PartnershipsPosted on Nov 9
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Prior professional experience in strategic partnerships, alliances, or business development at an AI lab, cloud provider, infrastructure company, or enterprise software company, with a track record of closed partnerships that produced measurable revenue.
  • Experience structuring and negotiating complex commercial agreements, including co-sell, resale, referral, marketplace, and capacity arrangements.
  • Existing relationships with partner, alliances, and business development teams at hyperscalers.
  • Enough technical depth to engage confidently in conversations about model training, inference, and infrastructure, and to work directly with engineers on integrations.
  • Strong commercial judgment to identify partnerships that will move the business, decline others, and structure deals that work for both sides.

Responsibilities

  • Source, structure, and close partnerships with hyperscalers and other large strategic counterparties.
  • Negotiate commercial terms, co-sell motions, marketplace listings, and capacity arrangements that provide distribution and leverage.
  • Run co-selling, co-marketing, and account-mapping motions to convert partner relationships into qualified opportunities, and work those opportunities alongside account executives.
  • Build agreements, enablement materials, and tracking to make partnerships repeatable as the ecosystem grows.
  • Manage ongoing relationships with executive sponsors and day-to-day counterparts at each partner.
  • Measure partner-sourced and partner-influenced pipeline, revenue, and capacity, then use the results to decide where to invest, pull back, and pursue new partnerships.

Desired Qualifications

  • Experience building a partner or channel program from scratch at an early-stage company.
  • Familiarity with hyperscaler marketplace programs, co-sell incentives, and partner-funded programs.
  • Experience working with systems integrators on enterprise AI deployments.

About the Company

Applied Compute

Custom AI models and enterprise agents

Applied Compute creates customized AI capabilities for enterprises by building proprietary AI models and in-house AI agents, a concept they call Specific Intelligence. Its products train on a company’s own data and are fine-tuned for specific workflows, delivered via a vertically integrated platform that includes training infrastructure, an agent platform, and developer tools on a GPU cluster, with engineers embedded inside customer teams to accelerate deployment. The company differentiates itself by focusing on proprietary data, maintaining its own tech stack, and embedding its engineers with customers to deliver deeply integrated solutions that are hard for competitors to copy. Its goal is to give enterprises a competitive edge by deploying production-ready AI agents and models that fit seamlessly into business operations and processes.

Company size
11-50
Company stage
Series C
Total funding
$510M
Headquarters
San Francisco, CA
Founded
2025

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