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 an experienced software engineer to join our Enterprise Engineering team as a key part of our Claude for Work initiative. This role requires deep expertise in developing enterprise software solutions with exceptional security, compliance, and scalability standards. You'll be responsible for building and shipping features that create trustworthy AI experiences meeting the needs of business customers from small teams to large organizations across many enterprise verticals including Finance, Life Sciences, and Healthcare.

You will work closely with product, design, sales, customer success, and professional services teams to deliver products that drive adoption and retention of Claude in enterprise environments.

Core Responsibilities

• Design, build, and ship enterprise-grade software solutions with high standards for security, reliability, and scalability
• Develop deep understanding of product use cases in various enterprise verticals and build novel solutions to address needs of largest enterprises
• Build scalable systems for enterprise deployment, user management, and administrative controls
• Work effectively in a fast-moving, ambiguous environment with minimal direction

You Might Be a Good Fit If You Have

• 8+ years of experience as a product-minded software engineer, with experience building enterprise software applications
• Strong technical skills in software development with proven success shipping enterprise-grade features
• Experience with identity management, SSO integration, and enterprise security standards
• Familiarity with compliance frameworks (such as FERPA, HIPAA) and identity protocols (such as SCIM, SSO)
• Track record of building systems that successfully scale from small business to enterprise customers
• Strong communication skills and ability to work effectively across functions
• Comfort working in ambiguous environments with evolving requirements

Strong Candidates May Also Have

• Experience integrating and working with AI/ML models and understanding their capabilities
• Background in SaaS platforms with enterprise management features
• Experience with multi-tenant architecture and enterprise deployment models
• Startup experience, particularly in building products from zero to one
• Knowledge of enterprise billing systems and seat management
• Experience collaborating with sales, customer success, and professional services teams to drive enterprise adoption

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary
$405,000 - $485,000 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 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