Joblaze summary

In this role, the Staff+ Software Engineer on the Financial Fraud team at Anthropic focuses on developing systems for real-time risk assessment and managing the lifecycle of disputes and chargebacks. Key skills include proficiency in Python and SQL, along with experience in fraud detection systems and a solid understanding of payment processes. This position is ideal for seasoned engineers with a strong background in payments fraud, particularly those who can navigate complex technical discussions with non-technical stakeholders. Anthropic emphasizes collaboration across various teams, enhancing the effectiveness of their fraud prevention strategies.

Joblaze insights

Listed about 3 months ago — first seen on Joblaze July 11, 2026. Last confirmed on Anthropic's careers page November 4, 2026.
Salary band is above the typical range for comparable tech roles (median ~$128,000).
Starts above 100% of 26 comparable staff other roles in United States that list Python we track (median $188,275 across 15 companies). See Python salary trends
Python appears in 14.5% of 283 comparable staff other roles in United States; SQL appears in 1.4% of 283 comparable staff other roles in United States.

Quick facts

Is the Staff+ Software Engineer, Payment Fraud role remote?: It's hybrid — Anthropic expects some on-site time in San Francisco, CA | New York City, NY | Seattle, WA.
What's the salary range?: Anthropic lists $320,000–$485,000 for this role.
How much experience is required?: At least 8 years of relevant experience for this Staff+ Software Engineer, Payment Fraud role.
Where is the role based?: Anthropic is hiring for this position in San Francisco, CA | New York City, NY | Seattle, WA.
What's the tech stack?: Joblaze extracted these technologies from the posting: Python, SQL, data analysis tools.
Does Anthropic sponsor work visas for this role?: Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?: Anthropic targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff+ Software Engineer, Payment Fraud role at Anthropic.

From the original posting

About Anthropic

About the role

The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer.

Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally.

Responsibilities:

Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints
Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting
Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases
Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number
Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules
Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners

Minimum Qualifications:

Proficiency in Python, SQL, and data analysis tools
Experience building or operating fraud, risk, or abuse detection systems in production
Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders

Preferred Qualifications:

8+ years of industry software engineering experience, with a focus on payments fraud or risk
Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle
Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud
Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) — and why chargeback rate thresholds carry existential stakes
Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows
Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team

The annual compensation range for this role is listed below.

Annual Salary:

$320,000—$485,000 USD

Logistics

Standard company text repeated across Anthropic's postings is omitted here.

Staff+ Software Engineer, Payment Fraud