Software Engineer, Enterprise

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:

We're looking for experienced software engineers to join our Enterprise Engineering team as a key part of our Claude for Work initiative. This role requires strong expertise in developing enterprise software solutions with exceptional security, compliance, and scalability standards. You'll be responsible for building features that meet the needs of business customers from small teams to large organizations

On this team, you'll work closely with product, design, sales, customer success, and professional services teams to deliver features that drive adoption and retention of Claude in corporate environments.

Responsibilities:

• Build and implement enterprise-grade features for Claude, focusing on security, compliance, and scalability
• Develop admin, governance, and management capabilities that enable enterprise-wide deployment and adoption
• Create identity management solutions, including SSO integration and role-based access controls
• Implement security features such as audit logs, encryption, and compliance frameworks
• Design and build scalable systems for enterprise deployment, user management, and administrative controls
• Collaborate with product teams to understand enterprise customer needs and translate them into technical solutions
• Build industry-specific solutions that address vertical market requirements (e.g., healthcare, finance, education)
• Create enterprise workflows and templates that demonstrate Claude's value in business contexts

You might be a good fit if you:

• 6+ years of practical experience as a software engineer, with at least 2 years building enterprise software
• Strong technical background in backend or full-stack development
• Experience with identity management, SSO integration, and enterprise security standards
• Familiarity with compliance frameworks (such as SCIM, SSO, FERPA, HIPAA)
• Experience building systems that scale from small business to enterprise customers
• Excellent collaboration skills, with ability to work effectively across functions
• Track record of delivering high-quality, scalable software in production environments

Strong candidates may also:

• Experience integrating and working with AI/ML models
• Background in SaaS platforms with enterprise management features
• Experience with multi-tenant architecture and enterprise deployment models
• Startup experience, particularly in scaling products from zero to one
• Knowledge of enterprise billing systems and seat management
• Experience partnering with sales and customer success teams

 

The expected salary range for this position is:

Annual Salary:$320,000—$405,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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.

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.

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 res