Anthropic
Safeguards Enforcement Analyst, Account Takeover & Credential Abuse
$245K–$285K
San Francisco, CA +3 · Full-time · Posted Jul 13, 2026
- Location
- San Francisco, CA
New York City, NY
Washington, DC
San Francisco, California, United States - Experience
- Experience required; years correlate with internal job level requirements.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; the company will make every reasonable effort to obtain a visa after an offer.
About the job
Build and operate safeguards enforcement workflows to detect and mitigate account takeover and credential abuse while helping legitimate customers regain access.
What you'll do
- Investigate credential-compromise incidents and trace behavior across accounts and platforms.
- Design remediation workflows covering credential revocation, customer notification, and access restoration.
- Partner with Engineering, Data Science, and threat intelligence teams to improve abuse detection and inform enforcement policy.
What they ask for
- Experience in trust and safety, fraud investigation, security operations, or a related field.
- Expertise in at least one of account takeover, credential abuse, session security, or incident response.
- Experience designing or operating enforcement, remediation, or customer-recovery flows.
- Ability to use data tools such as SQL to trace actor behavior and measure outcomes.
Nice to have
- Familiarity with credential-theft ecosystems or threat intelligence tooling.
- Experience with API platform abuse or writing prompts for generative AI in a content review or enforcement context.
Pay
$245,000 — $285,000 USD (base salary)
Tools
SQL
AI focus
Enforce usage policies to detect and mitigate potentially harmful use of AI systems; the role may use generative AI prompts in content review or enforcement.
Model-written summary · the original posting is authoritative