Lead the new ML Data Operations function at Suno, sourcing and developing training data for AI music models through external vendors, in-product collection, and internal systems. Build and manage the team while partnering closely with Research, Product, and Engineering; requires 6-8+ years in data labeling/operations and director-level leadership building new functions.
300k – 360k/yr
On-site8+ YOEML Engineering
About the role
What You'll Do
Source, evaluate, and manage relationships with external data labeling vendors, from initial scoping through contracts, quality oversight, and ongoing performance
Partner with ML researchers to understand data requirements and develop concrete plans to meet them
Identify opportunities to improve how Suno collects data with product and engineering
Build and lead the team, systems, and processes that make data sourcing a reliable, repeatable capability
Contribute to a data-driven model development culture as part of a close-knit team of researchers, engineers, and product builders
What You'll Need
Must-Haves
6–8+ years of experience in ML data operations, training data, or data labeling programs with direct experience managing external labeling vendors, building internal labeling systems, or both
Demonstrated leadership at a director or equivalent level, with a track record of building teams or functions that didn't previously exist
Comfort and excitement with operating with a high degree of autonomy where the path isn't fully defined
Strong cross-functional instincts across Research, Product, and Engineering
Nice-to-Haves
Background at a foundational model company or data labeling organization
Experience influencing how product features are designed with training data collection in mind
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