Fraud Operations Manager, Consumer Technology

ABOUT SUNO We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfilment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Menlo Ventures, Lightspeed Venture Partners, Matrix Partners, NVentures (venture arm of NVIDIA). Founded in 2023 by Harvard alumni with a shared passion for music, Suno has empowered more than 100 million people to create original songs. In 2025, we raised a $250 million Series C funding round to accelerate product innovation and international growth. ABOUT THE ROLE You will be building Suno's payment integrity function. You'll own fraud operations end-to-end: detection logic, dispute strategy, tooling, and the analytical framework that tells us what's actually happening across our payment and subscription surface. You'll have executive visibility, a clear mandate, and the ability to shape the program from scratch. Suno's fraud landscape is specific to what we are — a consumer AI music platform with subscription billing across web, iOS, and Android. Building detection logic calibrated to Suno requires both analytical rigor and product intuition. Here's a song we made about it: https://suno.com/s/uAs9evWVQGCZ2zCx WHAT YOU'LL DO - Build Suno's fraud detection framework from zero — Payment platform fraud rulesets, internal behavioral signals, and the operational processes that connect detection to action - Investigate fraud patterns across payment disputes, account abuse, and trial fraud — triage by impact, identify clusters, and propose remediation - Define Suno-specific fraud vectors (carding attacks, chargeback abuse, trial-to-fraud pipelines, account sharing at scale) and build detection logic for each - Shape the dispute response process — representment strategy, resolution, win rate tracking - Partner with Engineering and Data to define fraud signal requirements and validate that production rules match your detection intent — you'll co-develop the business logic - Build and maintain fraud KPI dashboards (dispute rate, fraud rate, false positive rate, program ROI) for weekly monitoring and exec reporting - Write the internal fraud operations playbooks — escalation paths, account action policies, appeals handling, and how Support interfaces with the fraud function - Work cross-functionally — you'll be well-supported by and sit at the nexus of data science, product, engineering, finance, and support teams. - Scale the team — as payment integrity grows in complexity, you would be in a position to help us hire and expand the team if / when necessary QUALIFICATIONS - 5+ years in fraud analysis, risk operations, or trust & safety at a consumer company, including at least one role where you owned a fraud program rather than just contributed to one - Management experience in leading or growing a payment-integrity focused team or program in a previous role. - Hands-on Stripe Radar experience or deep familiarity with a comparable rule-based fraud decisioning platform - SQL and data fluency — you write queries yourself to investigate anomalies, build monitoring, and pull the data you need without waiting for someone else - Depth in the payment dispute lifecycle — chargeback mechanics, representment strategy, win rate optimization, and how platforms differ (Stripe vs. Apple vs. Google) - Track record of building detection logic that measurably reduced fraud rates — not just reporting on them after the fact - Comfort with ambiguity at 0→1 — you've built programs from scratch, not just maintained what existed - Bonus: experience at a subscription business; familiarity with ML-based fraud models or working with data science to productionize fraud signals; background in AI or consumer creator platforms PERKS & BENEFITS FOR FULL-TIME EMPLOYEES - Company Equity Package - 401(k) with 3% Employer Match & Roth 401(k) - Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) - 11 Paid Holidays + Unlimited PTO & Sick Time - 16 Weeks of Paid Parental Leave - Creative Education Stipend - Generous Commuter Allowance - In-Office Lunch (5 days per week) ADDITIONAL NOTES - Candidates must be authorized to work in the United States, and will