Salesforce Developer, Partnerships

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.

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 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

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

• 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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

$220,000—$270,000 USD

Logistics

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.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

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.