Staff+ Software Engineer, Enterprise
Anthropic · San Francisco, CA | New York City, NY · 2026-07-01
About this role
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.
We're looking for a Staff+ Engineer to anchor our Enterprise pillar—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, the systems and products that you design are what make it possible.
This is a high-agency role that 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 tradeoffs, and be 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, with 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
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
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…
Skills asked for
- python
- golang
- rust
- gcp
- aws
- azure
- kubernetes
- postgresql
Similar jobs
- Staff Software Engineer, Web PlatformAnthropic · San Francisco
- Staff Software Engineer, GTM SystemsAnthropic · San Francisco
- Staff Software Engineer, GrowthAnthropic · San Francisco
- Staff Software Engineer, Environments InfrastructureAnthropic · San Francisco
- Staff+ Software Engineer, Enterprise AI ProductsAnthropic · San Francisco
- Staff Software Engineer, Code RLAnthropic · San Francisco
- Staff+ Software Engineer, Claude ScienceAnthropic · San Francisco
- Staff Software Engineer, Claude DesignAnthropic · San Francisco
Your next role is already in here.
Search live openings from thousands of employers, save the ones worth a second look, and let JobBob keep watch for the rest.