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Anthropic Cover

Staff+ Software Engineer, Platform Safety

Anthropic
San Francisco, CA | New York City, NY Full Time USD 405,000 - 485,000 p.a. 6 days ago

About the Job

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 syst...

Platform Safety builds the infrastructure that lets Anthropic bring its most capable models to more people, safely and securely. Our systems decide both who can access our most advanced models, and what capabilities they can access, wherever Claude is available. That includes identity and business verification, trus...

As a Staff+ engineer, you'll help set the technical direction for this work. The foundations are live and adoption is growing quickly, so the next challenge is scale: making access a matter of configuration instead of code, making verification reusable, and giving customers a consistent experience on every surface. ...

Key Responsibilities

As a Staff+ engineer, you'll help set the technical direction for this work. The foundations are live and adoption is growing quickly, so the next challenge is scale: making access a matter of configuration instead of code, making verification reusable, and giving customers a consistent experience on every surface. You'll work closely with safeguards, product, design and research to turn safety policy into systems that are easy to use and enforce. You'll also take new 0 → 1 efforts from idea to delivery as new capabilities and programs emerge.
You'll design, build and operate the systems that decide who gets access to our most capable models. You'll build the platform that lets teams across Anthropic launch and run trusted access programs, moving access rules out of code and into data so that launching a new model or complex program is simple and scalable. You'll build out our identity and business verification system (KYC/KYB) as a reusable service that any program can use, which means integrating verification vendors, protecting sensitive personal data, expanding into new regions, and building fair review and appeal paths for customers. You'll also evolve the core services behind every access decision, including the services that grant and hold access and the customer and user identity models they rely on, and keep them highly available and consistent across our own products and cloud platforms.
You'll shape the architecture through clear written proposals, review key designs, and mentor engineers on a growing team. You'll also share on-call, lead incident response, and support emerging new programs.
Have a minimum of 8 years of practical experience as a backend or platform engineer, ideally at tech lead level or equivalent, and are comfortable working across the stack when the problem calls for it
Have strong product sense, and work closely with cross-functional partners, including non-engineers, to shape and execute strategy in new domains
Use AI tools as a regular part of how you design, build and review software
Have designed and operated production distributed systems on a critical path, where correctness, latency and availability all matter
Take full ownership of your work, from design through build, deployment, operations and iteration
Navigate ambiguity and make sound technical decisions independently, have set technical direction that other engineers and teams adopted, and have ideally operated in both 0 → 1 and more mature settings
Care about building robust, scalable systems that other engineers and businesses love to use
Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI
Identity, access control or authorization systems at scale
Fraud, risk, trust and safety, or KYC/KYB systems, including working with verification vendors
Regulated or compliance-sensitive environments, including handling sensitive personal data
Integrating with cloud platforms or partner ecosystems such as AWS, Google Cloud and Azure

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