About the role
We're looking for an experienced software engineer to join our Enterprise Product Engineering team as we rapidly scale our Claude for Work product. The team is organized into two pods:
Enterprise Activation focuses on transforming Claude from a chat interface into a true "virtual collaborator" for every knowledge worker. This includes building primitives that bundle AI capabilities into deployable, customizable units—as well as working closely with customers to develop 1st party MCPs and capabilities to support top use cases (e.g. Data Analyst, Legal, FSI), and expanding Claude's presence across core knowledge worker surfaces like Slack and Microsoft Teams.
Enterprise Foundations. focuses on creating a unified Anthropic platform for enterprise deployments. This includes building billing infrastructure, management for groups and permissions, and a seamless admin experience that provides a single view across all products and organizations.
You will work closely with product, design, GTM, and Applied AI teams to deliver products that drive adoption, expansion, and retention of Claude in Fortune 500 companies.
Core Responsibilities
- Develop products to maximize adoption and expansion of cutting-edge AI applications amongst knowledge workers
- Design, build, and ship enterprise-grade products with high standards for security, reliability, and scalability
- Build scalable systems for user management, admin controls, billing infrastructure, and consumption pricing
- Create seamless end-user experiences including OAuth flows, guided setup, and smart defaults for package installation and customization
You might be a good fit if you have:
- 8+ years of experience as a product-minded software engineer with experience building user-centric enterprise products
- A track record of building systems that successfully scale from small business to enterprise customers
- Strong communication skills and ability to work effectively across functions
- Ability and motivation to work effectively in a fast-moving, ambiguous environment with minimal direction
Strong Candidates May Also Have:
- Background in SaaS platforms with high enterprise adoption, particularly billing systems, RBAC, or admin tooling
- Experience working with AI/ML models and agentic workflows and understanding their capabilities
- Experience collaborating with GTM and applied AI teams to drive enterprise adoption and expansion
