Lead, ML Data Operations

Suno; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Company Equity Package

401(k) with 3% Employer Match & Roth  

Medical, Dental, & Vision Insurance (P

Paid Holidays + Unlimited PTO & Sick

16 Weeks of Paid Parental Leave

Creative Education Stipend

Generous Commuter Allowance

In-Office Lunch (5 days per week)

Job summary

Suno is building the world’s first creative entertainment platform. We are seeking a Lead of ML Data Operations to create and lead a new function responsible for sourcing and developing data powering our models.

You will collaborate with Research, Product, and Engineering to define data needs, manage external labeling vendors, and build scalable data pipelines. This role carries real ownership and ambiguity in equal measure.

Qualifications

• 6–8+ years in ML data operations, with experience managing external labeling vendors or internal systems.
• Proven track record building a new function or team at director level.
• Comfort working with high autonomy where goals aren’t fully defined.
• Strong cross‑functional alignment with Research, Product, and Engineering.

Responsibilities

• Source, evaluate, and manage relationships with external data labeling vendors from scoping to contracts.
• Partner with ML researchers to translate data needs into concrete plans.
• Identify opportunities to improve data collection in collaboration with product and engineering.
• Build and lead the data operations team, systems, and processes for reliable sourcing.
• Contribute to a data-driven modeling culture within a close-knit team of researchers and engineers.
• Support Suno’s mission of enabling creative fulfillment for everyone.

Skills

ML data operations

Leadership

Cross-functional collaboration

Autonomy in ambiguity

Job description

About Suno

We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment 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 Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and NVentures (venture arm of NVIDIA).

About The Role

We're looking for a Lead of ML Data Operations to build and lead a new function at Suno. This team owns how we source and develop the data that powers our models. You’ll work closely with Research and Product to understand what's needed and figuring out how to deliver it, whether through external partners, in-product collection, or both. You’ll also build this function from the ground up so expect real ownership and real ambiguity in equal measure!

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
• Support our mission of making creative fulfillment a daily reality for everyone

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
• Familiarity with music, audio, or creative AI

Work Location Policy

This role is expected to work from the designated Suno office 5 days a week, per Suno's company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience.

Additional Notes

Applicants must be eligible to work in the US.

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)

Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.