Staff+ Software Engineer, Enterprise en Anthropic

Híbrido - San Francisco, CA; New York City, NY

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Anthropic is building reliable, interpretable, and steerable AI systems. As a Staff+ Software Engineer in the Enterprise pillar, you will anchor the team that makes Claude enterprise‑ready at scale, designing multi‑year technical strategy, leading high‑impact engineering initiatives across teams, and serving as a primary technical decision‑maker for org‑wide architectural decisions while mentoring other Staff‑level engineers.

Salary

USD 405,000 - 485,000

Requirements

Skills

  • 10+ years of engineering experience with a clear track record operating at Staff or Senior Staff level.
  • Demonstrably shaped technical strategy for large-scale Cloud Service Provider or Enterprise SaaS companies.
  • Deep expertise in distributed systems and API architecture.
  • Effective writing design docs, making architectural calls, and coding in critical paths.
  • Highly effective across org boundaries.
  • Strong domain expertise and intuition in enterprise areas such as security, identity, compliance, governance, permissions, and connectivity.
  • Bachelor’s degree or equivalent combination of education, training, and/or experience.
  • Relevant field of study for the role.

Responsibilities

  • Define and drive multi-year technical strategy, including 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 with 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.

Technologies

PythonGolangRustGCPAWSAzureKubernetesPostgreSQLAlloyDBVector StoresFirestoreSpannerFeature FlaggingPrometheusGrafanaDatadogClaude Code

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