Staff+ Software Engineer, Account Abuse
- Location
- San Francisco, CA | New York City, NY | Seattle, WA
- Salary range
- USD $320,000 – $485,000 base
- Workplace
- Hybrid
- Level
- Senior / Staff IC
- Job family
- Engineering
- Posted
- 7 months ago
The T&S Network estimates this role to be P4, Staff. The typical base salary for that level in Safety Engineering & Data Science is $330k to $420k at a frontier lab. Key skills at this level: owns a detection system end to end, including its drift and its retraining, designs for adversarial pressure rather than for a static distribution, and sets evaluation methodology others in the company adopt.
Why this level
Estimated from the posting rather than stated by the employer: the title reads as P4 · asks for 8+ years · posts $320k to $485k base at a frontier lab.
The role, in T&S terms
Written by the T&S Network from Anthropic's posting.
Builds the engineering systems that keep Anthropic's computing capacity allocated fairly and keep bad actors from consuming it or returning. The Account Abuse team gathers and analyzes account signals at scale and works with stakeholder teams on the tradeoffs of each intervention.
What you'd do
- Build systems that gather and analyze account signals at scale
- Insert signal collection and interventions into other teams' code with minimal disruption to stability and architecture
- Integrate third-party data-enrichment vendors
- Create monitoring dashboards, alerts, and internal admin tools
- Work with data scientists on usage patterns and trends, and with Policy & Enforcement on human-review coverage
- Run root cause reviews and in-depth probes of account behavior to surface abuse trends and novel attack methods
What it asks for
- Bachelor's degree in computer science, software engineering, or comparable experience
- Working knowledge of Python and SQL, plus hands-on use of data analysis tooling
- Strong communication skills for explaining technical concepts to non-technical stakeholders
- Eight or more years of professional software engineering work outside internships (preferred)
- Experience with integrity, spam, fraud, or abuse detection (preferred)
- Background designing safeguards for AI or machine learning products, such as fraud models or security monitoring tools (preferred)
- Experience building custom internal tooling with operational teams (preferred)
Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Anthropic before you apply. If we got something wrong, report this listing.
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Still listed 14 hours ago
About Anthropic

The employer
About Anthropic
AI and model safety · San Francisco, CA · 1,001 to 5,000 people · Founded 2021
AI safety company building the Claude family of models.
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