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
Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude often have the most demanding needs, with rigorous requirements around end‑user experience, procurement, security, and permissions. We believe earning their trust is essential to ensuring AI benefits the world broadly. This high‑agency role spans multiple efforts within Enterprise. You'll design Claude Enterprise to be widely distributed, support our governance and connectivity story, design abstractions that other teams want to adopt, help the team evaluate trade‑offs, and serve as the engineer in the room who can interface with executives from the world’s largest companies.
Responsibilities
- Define and drive multi‑year technical strategy, including our distributability and multi‑cloud strategy
- Identify and personally lead the highest‑complexity, highest‑impact engineering initiatives spanning multiple teams
- Serve as one of the primary technical decision‑makers for major architectural decisions with org‑wide scope
- Partner other teams such as Inference and Platform for foundational systems; Customer Success for the voice of customers; Infrastructure and Safeguards for security, privacy, and responsible deployment
- Mentor and develop Staff‑level engineers across the org
- Drive alignment across Product, GTM, Customer Success, and beyond while proactively identifying and addressing systemic technical risks
You May Be a Good Fit If You
- Have 10+ years of engineering experience with a clear track record operating at Staff or Senior Staff level
- Have demonstrably shaped technical strategy for large‑scale Cloud Service Provider or Enterprise SaaS companies
- Drive the highest‑leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust
- Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths
- Are highly effective across org boundaries—you build trust with GTM, Platform, Inference, Infrastructure, Privacy, Safeguards, and business stakeholders alike
- Bring strong domain expertise and intuition in enterprise areas such as security, identity, compliance, governance, permissions, and connectivity
Technical Stack
- Languages: Python, Golang, Rust
- Infrastructure: GCP, AWS, Azure, Kubernetes
- Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore, Spanner
- Tools: Feature Flagging, Prometheus, Grafana, Datadog, Claude Code
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. 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
Benefits
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.