Product Manager, ML Research
Product Manager partnering with ML researchers at Suno to define evaluation frameworks, connect user needs to model improvements, set research priorities, and launch new AI music capabilities. Requires 6+ years PM experience, strong ML technical intuition, and passion for AI creativity.
About the job
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)
Skills
Product Management, Machine Learning, Ai Evaluation, Model Training, Data Science, Technical Product Development, Ai Research, Benchmarks, Large-Scale Datasets, Annotation Pipelines
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