Anthropic · 1 day ago
Safeguards Analyst, Account Abuse
San Francisco, CA | New York City, NY
Full-time
Hybrid
Entry, Mid Level
$230K/yr - $310K/yr
2+ years expAnthropic is an AI safety and research company dedicated to creating reliable and beneficial AI systems. The Safeguards Analyst focusing on Account Abuse will be responsible for building and scaling detection and enforcement capabilities to protect the platform against abuse, while collaborating with cross-functional teams to enhance operational processes.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
Responsibilities
Develop and iterate on account signals and prevention frameworks that consolidate internal and external data into actionable abuse indicators
Develop and optimize identity and account-linking signals using graph-based data infrastructure to detect coordinated and scaled account abuse
Evaluate, integrate, and operationalize third-party vendor signals — assessing whether new data sources provide genuine lift in detection
Expand internal account signals with new data sources and behavioral indicators to improve detection coverage
Build and maintain processes that evaluate new product launches for scaled abuse risks, working closely with product teams to ensure enforcement readiness
Operationalize and iterate on enforcement tooling — including appeals workflows, review processes, and user communications — to maintain quality and scale with growing volume
Analyze enforcement performance through operational metrics, partnering with the team to keep detection accurate as abuse patterns evolve
Manage payment fraud and dispute operations to protect revenue and maintain our standing with payment partners
Coordinate enforcement efforts for policy compliance gaps across products, working with relevant teams to build scalable review processes
Collaborate with cross-functional teams (Engineering, Product, Legal, Data Science) to surface new signals and translate detection capabilities into enforcement workflows
Maintain detailed documentation of signal development, enforcement processes, and operational decisions
Qualification
Required
2+ years of experience in risk scoring, fraud detection, trust and safety, or policy enforcement
Hands-on experience building detection systems, risk models, or enforcement processes and workflows
Experience evaluating and integrating third-party data sources into detection or scoring pipelines
Strong SQL and Python skills — this role involves heavy data analysis across complex, multi-table data relationships
Familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications
Demonstrated ability to analyze complex data problems and translate findings into actionable improvements
Strong written and verbal communication skills — ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations
Equivalent practical experience or a Bachelor's degree in Computer Science, Data Science, or related field
Preferred
Have built risk scores, detection systems, signal pipelines, or enforcement processes in a previous role — identity verification, trust and safety, or similar
Are comfortable working with ambiguous, noisy data and extracting meaningful signal
Think critically about signal quality and enforcement performance — evaluating whether new detection signals or processes meaningfully improve outcomes
Have experience with graph-based data, account-linking problems, or cross-functional process design
Are proactive about identifying gaps in existing detection or enforcement and proposing new approaches
Have experience leveraging generative AI tools to support analytical, detection, or enforcement workflows
Can balance deep analytical work with cross-functional collaboration and stakeholder coordination
Have a background or interest in cybersecurity or threat intelligence (a plus, not a requirement)
Benefits
Competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
A lovely office space in which to collaborate with colleagues
Company
Anthropic
Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.
501-1000 employees
H1B Sponsorship
Anthropic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$33.74BKey Investors
Fidelity,ICONIQ Capital,Lightspeed Venture PartnersLightspeed Venture PartnersGoogle
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B
Leadership Team
Dario Amodei
Co-Founder and CEO
Daniela Amodei
President and co-founder
Recent News
2026-02-07
2026-02-07
TechCrunch
2026-02-07
Company data provided by crunchbase