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Applied Compute

Custom AI models and enterprise agents

Field Marketing

Marketing Generalist & ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 8 years of experience in field, event, or account-based marketing supporting enterprise sales, including at least 2 years leading a team; experience at an infrastructure, developer tools, or AI company is ideal.
  • Wants to be hands-on and able to run programs directly while building the team as the organization grows.
  • Has field programs that produced measurable pipeline.
  • Has hands-on experience with account-based programs and using intent data to prioritize.
  • Can manage programs across several cities concurrently without details slipping.
  • Has fluency with Salesforce or HubSpot, Luma, and AI tools.
  • Is willing to travel.

Responsibilities

  • Own the field calendar by selecting events and formats, and managing each end to end, including budget, venue, invitations, staffing, and follow-up.
  • Run an account-based motion with sales to bring the right accounts into events, and plan the before, during, and after so each conversation has a next step.
  • Set pipeline targets for field programs, track conversion from invitation to opportunity, and evaluate which programs to repeat.
  • Travel to events, represent Applied Compute, and make decisions when plans change.
  • Share buyer feedback with product, sales, and marketing.
  • Create templates, playbooks, and CRM tracking to make field marketing repeatable.
  • Work with design on booths, signage, swag, and collateral that reflect the company.

Desired Qualifications

  • Has been the first field marketer at a fast-growing startup.
  • Has run joint programs with larger partners.
  • Is curious about AI and comfortable talking with engineers and researchers.

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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