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Staff+ Software Engineer, Account Abuse

Anthropic· Safeguards (Trust & Safety)
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Hybrid (San Francisco, CA), Hybrid (New York City, NY), Hybrid (Seattle, WA)$320k - $485kfull-timePosted 8mo ago

About the role

Software engineer role on the Account Abuse team at Anthropic, building and operating systems to detect and prevent abuse, gather signals at scale, and coordinate with stakeholders to minimize misuse while maintaining system stability.

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

Qualifications

  • A 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

Skills

Required:PythonSQLData analysisCommunication

Benefits

  • competitive compensation and benefits
  • optional equity donation matching
  • generous vacation and parental leave
  • flexible working hours
  • lovely office space
Last updated Aug 26, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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