Staff+ Software Engineer, Account Abuse na Anthropic

Híbrido - San Francisco, CA, USA

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The Account Abuse team at Anthropic focuses on ensuring that computing capacity is allocated fairly and preventing bad actors from abusing the system. As a Staff+ Software Engineer, you will build scalable systems to gather and analyze signals, coordinate closely with stakeholder teams, and develop robust defenses against account abuse. Your work will involve rapid problem-solving in a greenfield environment, integrating third‑party data, creating monitoring dashboards, collaborating with data scientists and policy teams, and leading root‑cause analyses to improve enforcement and systemic defenses.

Salary

USD 320,000 - 485,000

Requirements

Skills

  • Bachelor’s degree in Computer Science, Software Engineering or comparable experience
  • Proficiency in Python, SQL, and data analysis tools
  • Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
  • 8+ years of industry software engineering experience (not including internships and co-ops)
  • Experience building trust and safety mechanisms for and using AI/ML systems, such as fraud-detection models or security monitoring tools or the infrastructure to support these systems at scale
  • Experience working closely with operational teams to build custom internal tooling
  • Experience with integrity, spam, fraud, or abuse detection

Responsibilities

  • Ability to think and respond quickly in a rapidly-changing greenfield environment
  • Jumping into other teams’ code to identify key points to gather signals or introduce interventions with minimal impact on their systems’ stability, complexity, or overall architecture
  • Integration with third-party data-enrichment vendors
  • Creating monitoring dashboards, alerts, and internal admin UX
  • Working closely with our data scientists to maintain situational awareness of our current usage patterns and trends, and with our Policy & Enforcement team to maximize the impact of their human-review availability
  • Building robust and reliable multi-layered defenses
  • Lead root cause analyses and deep-dive investigations into account activity to identify abuse patterns, uncover emerging attack vectors, and inform both immediate enforcement actions and longer-term systemic defenses

Technologies

PythonSQLdata analysis tools

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