Fraud and Risk Operations Manager, Suno
Consumer Software
$155-175k
+ Equity Package
AI music generation tools
Be an early applicant
AI music generation tools
101-200 employees
Be an early applicant
$155-175k
+ Equity Package
101-200 employees
Company mission
To build a future where anyone can make music.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Suno is a company leveraging AI for music creation, attempting to make it accessible to everyone, regardless of their musical background. The platform allows users to generate complete songs by inputting text prompts, breaking down the barriers that traditionally separate amateurs from professional musicians.
Unlike other AI music tools, Suno focuses on ease-of-use, enabling even those with no music theory knowledge to produce professional-sounding songs. This approach has already attracted a diverse user base, including everyday people and GRAMMY-winning artists.
Suno' rise has been fast and impressive, but it's now facing serious legal heat, including new lawsuits from independent artists. If it can defend its practices ad show respect for creators' rights, there's still a strong future ahead for the company.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Nov 2025
$250m
SERIES C
May 2024
$125m
SERIES B
Total funding: $375m
Company HQ
Mid-Cambridge, Cambridge, MA
Leadership
Mikey Shulman
(Co-Founder & CEO)Previously worked as Head of Machine Learning at Kensho Technologies. Also worked as a Lecturer for the MIT Sloan School of Management.
Georg Kucsko
(Co-Founder & CTO)Also works as a Lecturer at the MIT Sloan School of Management. Prior work includes Head of AI Research at Kensho Technologies.
Martin Camacho
(Co-Founder)Previously worked as Engineering Director at Firefly Health and Chief Architect and Board Director at Kensho Technologies.
Keenan Freyberg
(Co-Founder & COO)Worked in Business Devlopment at Pinshape, and as an Associate at Capco. Also worked through several roles at Kensho Technologies.
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