Join Anthropic as a Staff+ Engineer to lead the development of enterprise-ready AI systems for Fortune 500 companies.
Posted by employer 3 months ago
First seen on Joblaze 3 months ago
Last verified on the company career page 1 day ago
Skills & Technologies
Role intensity
40% coding
Requirements
Benefits
Joblaze summary
In this role, the Staff+ Software Engineer will focus on designing and implementing scalable systems that make Anthropic's AI, Claude, enterprise-ready for large organizations. Key skills include expertise in distributed systems, API architecture, and proficiency in languages like Python and Golang, as well as experience with cloud platforms such as GCP and AWS. This position is ideal for seasoned engineers with a strong background in enterprise SaaS and a proven ability to influence technical strategy across teams. Anthropic emphasizes collaboration and trust-building, making this a pivotal role in a mission-driven environment.
Joblaze insights
Quick facts
From the original posting
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.
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.
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.
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.
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