Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API @ 3
AWS
Azure
Communication @ 3
DevOps
GCP
Mulesoft @ 3
SQL @ 3
Salesforce @ 3
Workato @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
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 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
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- A collaborative office space
More jobs at Anthropic
Recruiter, Applied AI
Anthropic · San Francisco, United States
USD 175,000-240,000 per year
Staff Software Engineer, GTM Systems
Anthropic · San Francisco, United States
USD 320,000-405,000 per year
Evals Infrastructure Tech Lead / Manager
Anthropic · San Francisco, United States
USD 500,000-850,000 per year
Manager, IT Support
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 230,000-265,000 per year
Technical Program Manager, GTM Systems
Anthropic · San Francisco, United States, New York City, United States
USD 290,000-365,000 per year
Similar jobs
Senior Software Engineer
SentinelOne · United States
USD 132,000-182,000 per year
AI Success Manager, West
Glean · Mountain View, United States, San Francisco, United States
USD 140,000-200,000 per year
Director, Commercial Strategy & Operations
ClickHouse · United States
USD 225,000-275,000 per year
AI Engineer
Stripe · Chicago, United States
USD 126,600-235,300 per year
Principal ML Solutions Architect - Token Factory
Nebius · United States
USD 208,000-261,000 per year
ML Solutions Architect (Early Talent)
Nebius · United States
USD 102,000-126,000 per year
Ai Success Manager, West
Glean · United States
USD 140,000-200,000 per year
Forward Deployed Engineer, Ecosystem
Nebius · United States
USD 208,800-261,000 per year