Salesforce Developer, Partnerships

Anthropic Limited
San Francisco, CA, United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$220,000.0 - $270,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Code Coverage Code Review Data Warehousing Cursor (Graphical User Interface Elements) DevOps Middleware Release Management
+11 more
Salesforce.Com Systems Architecture Apex Code Google Cloud Zapier Build Management Performance Monitor Integration Frameworks Salesforce Object Query Language (SOQL) Software Version Control Mulesoft

Job description

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., * 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 DevOps 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

Requirements

  • 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

  • 5+ years of hands-on Salesforce development experience
  • 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, Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Benefits & conditions

Pulled from the full job description

  • Parental leave
  • Flexible schedule, Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates’ AI Usage: Learn about our policy for using AI in our application process.

About the company

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., We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

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