About the Position

Staff+ Software Engineer, Platform Distribution

San Francisco, CA | New York City, NY

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

The Claude Platform is growing rapidly and serves developers and enterprises at scale. Reaching the next tier of enterprise customers requires transforming how and where we deploy it, as well as the set of features we support out of the box.

The Distribution team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it. This work is split across two major workstreams that are covered in the next section, and we need your help across both.

Responsibilities

Cloud Service Provider Integration: Make the Claude Platform a best-in-class offering on Cloud Service Provider’s platforms (AWS, GCP, Azure) by bringing our API, control plane, and Anthropic features through the provider’s front door. Collaborate across the company with teams such as Infrastructure, Systems, Networking, Databases, Inference, and more.
Enterprise Readiness: Make our platform even more suitable for Enterprise, shipping next-gen enterprise enablement features that unblock our next wave of regulated customers or enable our existing ones to scale further. Focus on enterprise growth, security, and compliance, with features ranging from key management & encryption, audit APIs, usage visibility, access control, and international data residency. Partner closely with core teams across the company, as well as collaborate with CSPs to make these available on our cloud platforms.

Requirements

Minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent.
Product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to adopt by our customers.
Experience owning large-scale infrastructure systems and leading ambiguous, cross-team technical projects from design through production and can do so independently.
Experience with cloud infrastructure (GCP, AWS, or Azure) at scale and/or Enterprise SaaS experience in a multi-tenant context, with a background in security, compliance, or data residency for regulated or sovereign cloud environments.
Take full ownership of your work-from design through deployment and operations.
Proficient in Python, Go, Rust, or similar systems language.

We Offer

Competitive Compensation: Annual Salary: $405,000-$485,000 USD
Location Preference: Preference will be given to candidates based in NY or the Bay Area given the current location of the team.
Visa Sponsorship: We 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.
Hybrid Work 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.

About the Company

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.

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. 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.

Come Work with Us!

Anthropic is committed to fostering a diverse and inclusive workplace. 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.

Staff+ Software Engineer, Platform Distribution

Job description