AI Hiring Index

Anthropic · Infrastructure · Staff+ · Posted 2026-08-20

Staff+ Software Engineer, Platform Distribution

Anthropic · San Francisco, CA | New York City, NY · $405k–485k base

This is one of the highest posted infrastructure ranges at AI companies right now. Compare it with every posted range at Anthropic by level, and at 281 other AI companies, in the AI Salary Report, US$29 once, or see the free salary index.

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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 to major workstreams that are covered in the next section, and we need your help across both.

What you'll do

Claude Platform on the Clouds: You will make the Claude Platform a best in class offering on the Cloud Service Provider’s platform (AWS, GCP, Azure), by bringing our API, control plane and Anthropic features through the provider’s front door. You’ll do cross-cutting work across the clouds and also have the opportunity to go deeper with CSPs on native integrations across a range of deep technical problems at unprecedented scale. You’ll get to collaborate across the company with teams such as Infrastructure, Systems, Networking, Databases, Inference and more.

Enterprise Readiness: You’ll 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. You’ll do so in an Enterprise SaaS context, with a specific focus on enterprise growth, security and compliance, with features ranging from key management & encryption, audit APIs, usage visibility, access control, and international data residency. You’ll also partner closely with core teams across the company, as well as collaborate with CSPs to make these available on our cloud platforms.

You might be a good fit if you:

Have a 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 

Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to adopt by our customers

Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production and can do so independently.

Have experience with cloud infrastructure (GCP, AWS, or Azure) at scale and/or Enterprise SaaS experience in a multi-tenant context, with 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

Are proficient in Python, Go, Rust, or similar systems language

Deadline to apply:  None. Applications will be reviewed on a rolling basis. 

Location Preference: Preference will be given to candidates based in NY or the Bay Area given the current location of team.  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.

Annual Salary: $405,000 — $485,000 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 …

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See also: Software Engineer jobs · AI jobs in San Francisco Bay Area · Anthropic salaries · Python jobs · Rust jobs · AWS jobs.

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