Staff+ Software Engineer, Platform Safety
- Salary
- $405,000 - $485,000
- Level
- Staff
- Visa
- Sponsors visas
Not stated in the posting: work type.
Open. First seen 20 October 2026.
About the role
Anthropic's standard text
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
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, trusted access programs, and the core services that grant, hold and enforce model access across our products.
These systems already power the Cyber Verification Program, which now includes Project Glasswing, and the Life Sciences Verification Program with further more advanced use cases in development.
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.
What you'll do
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.
You might be a good fit if you:
- 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
Strong candidates may also have:
- 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
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Location Preference: Preference will be given to candidates based in NY, SEA, SF 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 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.
Anthropic's standard text
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
Anthropic's standard text
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.
Come work with us!
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.
What this role asks for
Particular to this role
AWS · Azure · GCP
Rare in Anthropic's other 299 open postings.
68% of this description is written for the role. The rest is Anthropic's standard text, folded away below.
Compared with Anthropic's other open jobs.
The team: Engineering & Design - Product HIRES STEADILY
This role is one of 50 open in Engineering & Design - Product. 13 were posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (14 of 50), LLM (11 of 50), TypeScript (11 of 50), Golang (8 of 50), React (8 of 50), JavaScript (7 of 50), Rust (7 of 50)
OTHER ROLES ON THIS TEAM
- Financial Data and Controls Lead, Billing Platform posted Oct 20
- Staff+ Software Engineer, Enterprise (Full Stack) posted Oct 16
- Engineering Manager, Claude Platform posted Oct 14
- Developer Relations Manager, Claude Platform posted Oct 14
- Staff+ Software Engineer, Platform Acceleration posted Oct 14
- Product Designer, Growth posted Oct 9
- Software Engineer, Staff: Applied AI, Science & Engineering posted Oct 6
- Business Systems Analyst, GTM Systems posted Sep 29
- Product Designer, Claude Developer Platform posted Sep 28
- Product Designer, Safeguards posted Sep 25
- Staff Software Engineer: Compute posted Sep 23
- Product Designer, Design Systems posted Sep 22
- User Experience Researcher, Platform posted Sep 9
- Salesforce Developer posted Sep 9
- Business Systems Analyst, New Product Introduction posted Sep 8
- Staff+ Software Engineer, Claude Science posted Sep 4
- Staff+ Software Engineer, Auth & Identity posted Aug 21
- Staff+ Software Engineer, Developer Experience posted Aug 21
- Staff+ Software Engineer, Platform Portability posted Aug 20
- Staff+ Software Engineer, Claude Managed Agents posted Aug 20
- Staff+ Software Engineer, Platform Distribution posted Aug 20
- DevOps / AgentOps Engineer, GTM Systems posted Aug 19
- Staff+ Software Engineer, Platform Connectivity posted Aug 19
- Staff+ Software Engineer, Product Sandboxing posted Aug 19
- Front End Engineer, Marketing posted Aug 18
- Developer Relations posted Aug 10
- Staff Software Engineer, Claude Code posted Aug 7
- Staff Software Engineer, GTM Systems posted Jul 23
- Staff+ Software Engineer, Enterprise AI Products posted Jul 22
- Staff Software Engineer, Growth posted Jul 21
- Engineering Manager, Growth posted Jul 17
- Engineering Manager, Connectivity - London posted Jul 9
- Staff+ Software Engineer, Enterprise Knowledge Work posted Jul 2
- Staff+ Software Engineer, Enterprise (Platform) posted Jul 1
- Engineering Manager, Enterprise posted Jun 13
- Staff+ Software Engineer, Public Sector posted May 4
- Senior Software Engineer, Full-stack posted Apr 8
- Staff+ Software Engineer, Full-stack posted Apr 8
- Staff+ Software Engineer, Platform posted Apr 8
- Staff+ Software Engineer, Billing Platform posted Mar 10
- Senior Staff Software Engineer, API posted Feb 26
- Staff+ Software Engineer, People Products posted Feb 13
- Model Performance Software Engineer, Claude Code posted Feb 2
- Staff+ Software Engineer, Cybersecurity Products posted Jan 9
- Staff Software Engineer, Product posted Dec 18
- Software Engineer, Labs posted Dec 8
- Software Engineer, Beneficial Deployments posted Oct 3
- Staff Software Engineer, iOS posted Aug 28
- Staff Software Engineer, Android posted Aug 28
From the team and dates on Anthropic's own job board.
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