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Salary: USD 128,000 - 168,000 / annual
Suno is building the world's first creative entertainment platform for music creation, backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, and NVIDIA Ventures. The company is the fastest-growing consumer entertainment company and leader in AI music.
You will own the operating floor of Trust & Safety at Suno, managing the day-to-day enforcement operations that blend automated decisioning with human judgment. You will report to the Trust & Safety lead and collaborate closely with Product, Engineering, Legal, Communications, and Operations teams.
Key responsibilities include:
- Running day-to-day enforcement operations: queue health, latency, SLA attainment, and escalation handling across all content categories
- Owning vendor and BPO performance: capacity forecasting, quality enforcement, contract performance, and site management
- Building and running training, QA, and calibration programs to keep decision quality measurable and improving
- Managing capacity planning against rapid volume growth, balancing headcount, vendor spend, and automation tradeoffs
- Defining tooling requirements for reviewer workflows and partnering with Engineering to ship them
- Supporting reviewer wellness and resilience programs for teams doing critical moderation work
You will be responsible for operational metrics including SLA attainment, queue latency, QA scores, cost per decision, and reviewer utilization. This role requires hands-on vendor management with real performance accountability and the ability to build measurable quality outcomes.
REQUIREMENTS:
- 5+ years in Trust & Safety, content moderation, or CX operations
- 2+ years directly managing reviewers or vendor teams
- Ownership of operational metrics (SLA attainment, queue latency, QA scores, cost per decision, reviewer utilization)
- Hands-on vendor or BPO management with real performance accountability
- Experience building or running a QA and calibration program with measurable decision-quality outcomes
NICE TO HAVE:
- Operating experience with ML-assisted enforcement (queue routing on model scores, human-in-the-loop workflows)
- Reviewer wellness and resilience program exposure
- UGC or generative AI platform background
