Product Manager, ML Research

What You'll Do

• 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.
• 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.
• Shape model priorities in partnership with Research — Bring user insight, data, and business context into roadmap discussions, helping the team make thoughtful tradeoffs when research opportunities and product needs compete.
• Bring new models and capabilities to market — Work with Research, Product, and Product Marketing to launch model improvements in a way users can understand, adopt, and get value from.
• Go deep technically — Run experiments, dig into model behavior, and work in the details alongside researchers and data scientists.

Who You Are

• 6+ years of product management experience, or equivalent experience building highly technical products
• Experience partnering closely with machine learning researchers, model training teams, or AI evaluation systems
• Strong technical intuition and the ability to engage deeply with complex machine learning concepts
• A strong technical foundation, ideally with a background in computer science, engineering, mathematics, physics, or a related field
• Exceptional product judgment and the ability to bring clarity and structure to ambiguous, research-driven problems
• A first-principles thinker who is naturally curious about how frontier AI models work and how they can be improved
• Operates with urgency and thrives in fast-moving, iterative environments
• Excited by the intersection of AI, creativity, and music

Bonus Points

• Experience working at a frontier AI lab or on a foundation model team
• Experience designing or building AI evaluation frameworks, benchmarks, or human evaluation systems
• Experience working with large-scale datasets, data quality, or annotation pipeline.

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)

Compensation: $250K – $330K base salary (before equity)