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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 are looking for backend / platform software engineers to join our Product Foundations org. We build foundational primitives that help accelerate product development across Anthropic. Some examples of what we own and maintain are our core sampling pipeline, our rate limiting platform, and our RAG platform.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the platform efforts where they'll have the greatest impact and growth potential:
Billing Platform: We build and operate the billing infrastructure that powers all of Anthropic's products - enabling revenue collection across different pricing models, subscriptions, and multi-entity operations for global compliance. You'll work on distributed systems that need to be both fast and correct: real-time tracking, revenue reconciliation across payment providers, and ledger systems that ensure accuracy at scale. This is production-critical infrastructure where data consistency matters, and you'll collaborate closely with finance, product, and accounting teams to build the foundation that scales our business. If you've built billing platforms or payment systems, that will be a big plus.
Product Platform: We provide a set of stable, powerful, and easy to use shared product capabilities leveraged by the Claude.ai, API and other internal product and research teams. You’ll work on our core platform components like rate limiting, LLM sampling and multimodal processing. Our mandate includes developing reusable components, improving system performance, and creating scalable abstractions that accelerate product development across the organization while maintaining high standards for reliability and security.
Accounts Platform: We build and maintain the critical infrastructure that powers identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience.
Claude Execution: We build the infrastructure that enables Claude to safely interact with the outside world through the use of tools. Our team owns the platform that provides secure, isolated execution environments as well as the infrastructure that connects Claude to external services via the Model Context Protocol (MCP). You'll work on challenging problems at the intersection of security and capability: designing sandboxes that are both secure and performant, building reliable MCP infrastructure, and expanding our platform for enterprise deployments. We collaborate closely with product teams across Claude.ai, API, and Claude Code to deliver the execution capabilities that make Claude genuinely useful for real-world tasks. Relevant experience includes containerization, secure execution environments, and developing for enterprise requirements.
The annual compensation range for this role is 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. Our total compensation package for full-time employees includes equity and benefits.
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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. 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.
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.
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
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