Suno
Product Manager, ML Research
Boston · Senior · Full-time
Sponsorship not specified$250k-$330kDetected 91 days ago
ExpressMachine LearningProduct ManagementValuationResearch
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- Artificial intelligence is transforming every creative field.
- We are hiring the first Product Manager dedicated to our Research organization.
- By combining user understanding with rigorous evaluation and product judgment, you will help researchers focus on the problems whose solutions have the greatest impact on our business.
Responsibilities
- Define what "good" means - Own the evaluation frameworks and quality metrics for
- Connect creator needs to model capabilities - Deeply understand how people create with Suno, identify where the model helps or falls short, and translate those insights into research problems the team can act on.
- Bridge product and research - Partner with user-facing PMs, engineers, and data scientists to understand real-world model behavior and turn those learnings into better evaluations, clearer priorities, and more useful capabilities.
- 6+ years of product management experience, or equivalent experience building highly technical products
- Define what "good" means - Own the evaluation frameworks and quality metrics for Suno's foundational music model: what we measure, why it matters, and how we know the model is improving.
- Building the future of entertainment requires ambition.
- 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.
- In 2026, we raised a $400 million Series D at a $5.4 billion valuation to continue building innovative products that amplify creativity and imagination.
- Experience designing or building AI evaluation frameworks, benchmarks, or human evaluation systems
Requirements
- Exceptional product judgment and the ability to bring clarity and structure to ambiguous, research-driven problems
- Experience working at a frontier AI lab or on a foundation model team
- Experience working with large-scale datasets, data quality, or annotation pipeline.
- Applicants must be eligible to work in the US.
- Must be willing to travel once per quarter for larger team meetings.
Compensation
- $250K - $330K base salary (before equity)
Benefits
- Company Equity Package
- 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
- $250K - $330K base salary (before equity)
Company info
- Artificial intelligence is transforming every creative field. At Suno, we are building one of the world's leading generative music models, enabling millions of people to become musicians for the first time.
- At Suno, we are building one of the world's leading generative music models, enabling millions of people to become musicians for the first time.
- We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making 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).
- Founded in 2023 by Harvard alumni with a shared passion for music, Suno has quickly grown to 250 employees while empowering more than 100 million people to create original songs.
Equal opportunity
- Suno is proud to be an Equal Opportunity Employer.
- Equal Opportunity Employer.
This listing is sourced directly from Suno's careers page and normalized into a canonical job model.