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Salesforce Developer, Partnerships

Job in New York, New York County, New York, 10261, USA
Listing for: EngineersOfAI
Full Time position
Listed on 2026-10-18
Job specializations:
  • Software Development
    Salesforce Developer, Cloud Engineer - Software, Backend Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 190000 USD Yearly USD 120000.00 190000.00 YEAR
Job Description & How to Apply Below
Location: New York

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As a Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our Partnerships business: deal registration, partner attribution, co-sell, and cloud marketplace operations. You'll work both autonomously and collaboratively across Revenue Operations, Partnerships, and Finance to translate partner-channel requirements into scalable Apex, Flow, and integration solutions. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale.

Key responsibilities
  • Design and build Partnerships infrastructure in Salesforce, including deal registration workflows, channel-conflict detection, partner attribution, and partner account hierarchy
  • Develop and maintain Apex (triggers, services, selectors, batch/queueable), Lightning Web Components, and Flow automation following our house Apex standards and trigger framework
  • Build and own integrations between Salesforce and partner-ecosystem systems such as cloud marketplaces (AWS, GCP, Azure), PRM tools, and middleware
  • Configure partner-facing portals with appropriate sharing, visibility, and license-model design
  • Use Claude and our internal AI development tooling as a first-class part of your build and code-review workflow
  • Partner with Revenue Operations analysts to ensure data-model decisions support downstream partner performance reporting
  • Partner with Dev Ops on release management for your work: sandbox strategy, source control, peer review, and deployment via SFDX/metadata tooling
  • Ensure appropriate controls, test coverage, and documentation are in place for an effective control environment
  • Operate with ambiguity in a rapidly changing business, resolve problems independently, and propose solutions that scale
Minimum qualifications
  • Hands-on Salesforce development experience (Apex, SOQL, LWC, Flow) in a production org
  • Experience building or maintaining partner/channel functionality in Salesforce: deal registration, partner portals, attribution models, or co-sell opportunity management
  • Experience integrating Salesforce with external platforms via REST/Bulk APIs, middleware (Workato, Mulesoft, or similar), or direct callouts
  • Fluency with SFDX, source-controlled metadata, and a sandbox-to-prod release process with peer review
  • Active use of AI-assisted development tools (Claude, Copilot, Cursor, or similar) as part of how you write and review code, and the ability to speak to how you steer and verify their output
  • Basic SQL skills and comfort working alongside a data warehouse
  • Effective communication with sales, partnerships, finance, and engineering stakeholders
Preferred qualifications
  • Salesforce Platform Developer I and II certifications
  • Advanced Administrator or Application/System Architect certification
  • Deep understanding of Salesforce platform constraints: governor limits, bulkification, sharing and visibility, recursion control
  • Cloud-marketplace integration experience (AWS, GCP, Azure)
  • Familiarity with partner-specific integration platforms such as Workspan
  • Proven experience scaling Salesforce in a high-growth GTM environment
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