2 months ago
Base Salary
$405k - $485k/yr
Responsibilities
- Define and drive multi-year technical strategy, including distributability and multi-cloud strategy.
- Lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams.
- Serve as a primary technical decision-maker for major organization-wide architectural decisions.
- Design Claude Enterprise abstractions and systems for broad distribution, governance, connectivity, and scale.
- Partner with Inference, Platform, Customer Success, Infrastructure, and Safeguards on foundational systems, customer needs, security, privacy, and responsible deployment.
- Mentor and develop Staff-level engineers across the organization.
- Drive alignment across Product, GTM, Customer Success, and other stakeholders while addressing systemic technical risks.
Requirements
- 10+ years of engineering experience with a track record operating at Staff or Senior Staff level.
- Experience shaping technical strategy for large-scale Cloud Service Provider or Enterprise SaaS companies.
- Deep expertise in distributed systems and API architecture, including design documentation, architectural decision-making, and coding in critical paths.
- Strong enterprise domain expertise in security, identity, compliance, governance, permissions, and connectivity.
- Ability to lead through influence, build trust across organizational boundaries, and drive outcomes without formal authority.
- Bachelor’s degree in a relevant field, or an equivalent combination of education, training, and/or experience.
Benefits
- Hybrid work policy requiring staff to be in an office at least 25% of the time, with some roles requiring more.
- Visa sponsorship may be available, with immigration lawyer support.
- Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
Tech Stack
About Anthropic
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.