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Anthropic

Salesforce Developer

San Francisco, CA | New York City, NY | Seattle, WAFrom $345kmidAdded 3 days ago

About this role

Design and build Salesforce quote-to-cash infrastructure at Anthropic, including CPQ extensions, pricing automation, and integrations with billing systems like Stripe and NetSuite. You'll develop Apex, Lightning Web Components, and Flows while leveraging AI-assisted coding tools as a core part of your workflow.

What you'll do

  • Develop Apex triggers, services, Lightning Web Components, and Flow automation following house standards
  • Design quote-to-cash infrastructure including product catalog, pricing models, quoting, approvals, and order lifecycle
  • Build custom pricing and quote-calculation logic extending Salesforce CPQ and enabling agentic selling
  • Create and maintain integrations between Salesforce and billing/provisioning systems (Stripe, Metronome, NetSuite)
  • Support product and pricing launches by modeling catalog and SKU changes across downstream systems
  • Collaborate with RevOps, Finance, Deal Desk, and Product teams to translate requirements into scalable solutions

What they're looking for

  • Apex programming (triggers, services, batch/queueable classes)
  • SOQL and Lightning Web Components
  • Salesforce CPQ and quote-to-cash configuration and customization
  • REST/Bulk APIs and middleware integration (Workato, Mulesoft)
  • SFDX, source control, and metadata-driven deployment
  • AI-assisted development tools (Claude, Copilot, Cursor)
  • SQL and data warehouse fundamentals
  • Salesforce platform constraints and governor limits
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Anthropic

Anthropic builds Claude, an AI assistant, and is hiring for engineering roles across infrastructure, data systems, and security that support both AI research operations and the company's internal technology needs. The company seeks infrastructure engineers, systems integrators, data scientists, and security specialists to build production-scale systems for training data pipelines, financial operations, developer productivity measurement, research infrastructure, and server firmware security.

Website
anthropic.com
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Likely interview questions

  • Walk us through a complex CPQ implementation where you extended the platform with custom code—what challenges did you face with calculation performance or bulk amendments?
  • How do you use Claude or similar AI tools in your development workflow, and what techniques do you use to verify the output quality?
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