Staff+ Software Engineer, Account Abuse

Anthropic; San Francisco (CA); Hybrid; USD 320,000 - 485,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Optional equity donation matching

Generous vacation and parental leave

Flexible working hours

Office space for collaboration

Job summary

Anthropic is looking for a Software Engineer to join the Account Abuse team in San Francisco. This role involves building systems to analyze signals at scale, collaborating with various teams for optimal resource allocation against bad actors. The ideal candidate has a Bachelor’s degree in Computer Science and is skilled in Python and SQL.

Responsibilities include creating monitoring dashboards and leading investigations into account activity. The compensation ranges from $320,000 to $485,000 annually, complemented by competitive benefits.

Qualifications

• Proficiency in Python, SQL, and data analysis tools.
• Strong communication skills to explain complex concepts.

Responsibilities

• Build systems to gather and analyze signals at scale.
• Identify key points in other teams’ code with minimal impact.
• Create monitoring dashboards and alerts.
• Work closely with data scientists to analyze usage patterns.
• Lead investigations into account activity for abuse patterns.

Skills

Python

SQL

Data analysis tools

Communication skills

Education

Bachelor’s degree in Computer Science or Software Engineering

Job description

About the role

The Account Abuse team is tasked with ensuring Anthropic’s computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build systems that gather and analyze signals at scale, balancing tradeoffs and coordinating closely with stakeholder teams throughout the company. The ideal candidate can see things from opponents’ perspectives, understand their means and motives, and anticipate their responses to countermeasures.

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

Preferred qualifications

• 8+ years of industry software engineering experience (not including internships and co‑ops), preferably with a focus on integrity, spam, fraud, or abuse detection.
• Have 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
• Have worked closely with operational teams to build custom internal tooling

Compensation

Annual Salary: $320,000 — $485,000 USD

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Office space for collaboration

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Minimum years of experience correlates with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We sponsor visas for eligible candidates; all qualified applicants will receive consideration.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment.