Staff+ Software Engineer, Identity & Access Controls

About the role

The Identity & Access Controls team builds the systems that verify who our customers are, grant access to advanced model capabilities for approved use cases, and ensure that access is not misused. As a software engineer on this team, you will build the identity, vetting, and access management infrastructure that underpins our trusted access programs, along with the monitoring and enforcement tooling that keeps them safe. This work sits at the center of how Anthropic deploys frontier capabilities responsibly, balancing broad access with rigorous safeguards.

Key responsibilities

• Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are
• Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases
• Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs
• Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it
• Detect and remediate account takeover
• Create monitoring dashboards, alerts, and internal admin tooling
• Work closely with policy, enforcement, threat intelligence, and go-to-market teams to ensure access decisions are well-informed and consistently applied

Minimum qualifications

• A Bachelor's degree in Computer Science, Software Engineering, or comparable experience
• Experience building and operating backend systems in production
• Proficiency in Python and SQL
• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
• Care about the societal impacts of AI and want your work to make powerful systems safer

Preferred qualifications

• 8+ years of industry software engineering experience (not including internships and co-ops)
• Experience with identity, authentication, or authorization systems at scale
• Experience with KYC/KYB workflows or identity verification vendors
• Experience in trust and safety, integrity, fraud, or abuse detection
• Experience detecting and responding to account takeover or credential compromise
• Experience partnering with operational teams to build custom internal tooling

The annual compensation range for this role

The annual compensation range for this role is $320,000 - $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

We currently 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.

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. 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

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.

Guidance on Candidates' AI Usage

Learn about our policy for using AI in our application process.