Anthropic06.03.26
AI SCORE 8.5

Software Engineer - Account Abuse (Remote)

$320K–$405K/year

About the Role

We are seeking a talented Software Engineer - Account Abuse (Remote) to join our dynamic team at Anthropic. In this role, you will be responsible for building systems that gather and analyze signals at scale, ensuring that our computing capacity is allocated fairly and minimizing resources available to bad actors. You will work closely with various stakeholder teams to create robust defenses against account abuse, making a significant impact on our mission to create reliable and beneficial AI systems.

What You'll Do

  • Develop and implement systems to monitor and analyze account activity, focusing on abuse detection and prevention.
  • Collaborate with data scientists to maintain situational awareness of usage patterns and trends.
  • Integrate third-party data-enrichment vendors to enhance our monitoring capabilities.
  • Create monitoring dashboards, alerts, and internal admin UX to streamline processes.
  • Lead root cause analyses and investigations into account activity to identify abuse patterns and inform enforcement actions.
  • Jump into other teams’ code to identify key points for signal gathering with minimal disruption.
  • Build robust and reliable multi-layered defenses against emerging attack vectors.
  • Communicate complex technical concepts to non-technical stakeholders effectively.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field.
  • 3-10+ years of experience in a software engineering position, preferably in integrity, spam, fraud, or abuse detection.
  • Proficiency in Python, SQL, and data analysis tools.
  • Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.
  • Experience building trust and safety mechanisms for AI/ML systems is a plus.

Nice to Have

  • Experience with fraud-detection models or security monitoring tools.
  • Familiarity with operational teams and building custom internal tooling.

What We Offer

  • Annual salary range of $320,000 to $405,000.
  • Visa sponsorship available for qualified candidates.
  • Flexible working hours and a hybrid work policy.
  • Generous vacation and parental leave.
  • Optional equity donation matching.
  • A collaborative and inclusive work environment.
  • Access to a lovely office space in San Francisco.
Why This Job8.5 of 10

This Software Engineer role at Anthropic offers a unique opportunity to work on impactful AI systems in a collaborative environment with competitive compensation.

Salary Range
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Optional
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Bonus
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About Anthropic

Explore Anthropic careers in 2026 and discover exciting job opportunities across remote, hybrid, and office roles. Our platform offers advanced filters to refine your search, application tracking to streamline your process, and valuable company insights to help you succeed. Stay ahead in your job search for Anthropic positions and unlock your potential in the innovative tech landscape.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in Python and SQL, with hands-on experience in building data pipelines and performing data analysis to detect and mitigate account abuse and fraud.

Self-motivated and disciplined, thriving in a remote work environment while effectively managing time and collaborating with cross-functional teams to implement security monitoring solutions.

Analytical mindset with a strong understanding of monitoring tools and methodologies, capable of developing robust systems for fraud detection and resource allocation.

Learning Resources

Python for Data Analysiscourse

Career Path

Software Engineer - Account Abuse (Remote)(Now)Senior Software Engineer - Security Monitoring(1-2 years)Lead Engineer - Fraud Detection Systems(3-5 years)

Market Overview

Python Market Size 2024
$42B
Annual Growth
12.5%
AI Adoption in Python
65%
Investment in Fraud Detection Tech
+150%
Labour Demand for Python Developers
+20%
Avg Salary for Software Engineers with Python
$110K

Skills & Requirements

Required
PythonSQLData Analysis
Growing in Demand
Machine LearningData Visualization (e.g., Tableau, Matplotlib)Cloud Computing (e.g., AWS, Azure)
Declining
PerlPHP (for backend scripting)

Domain Trends

Increased Focus on Fraud Detection
Organizations are investing heavily in fraud detection solutions, with a projected market growth of 20% annually as cyber threats increase.
Rise of Data-Driven Security Monitoring
Data analysis tools are becoming essential in security monitoring, with 70% of companies adopting data-driven strategies to enhance their security posture.
Integration of AI in Security Solutions
AI technologies are being integrated into security solutions, with 55% of companies reporting improved detection rates through machine learning algorithms.

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