Product Manager (ML Research)

Join Suno, a leading generative music model company, as the first Product Manager dedicated to our Research organization. In this role, you will work closely with machine learning engineers to identify high-impact opportunities for improving our models. You will define evaluation frameworks and quality metrics, connect creator needs to model capabilities, bridge product and research, shape model priorities, bring new models to market, and engage deeply with complex machine learning concepts.

• Identifying high-impact opportunities for improving generative music models by combining user understanding with rigorous evaluation.
• Owning the evaluation frameworks and quality metrics for Suno’s foundational music model, defining what “good” means.
• Partnering with user-facing PMs, engineers, and data scientists to understand real-world model behavior and turn those learnings into better evaluations.
• 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
• Experience partnering closely with machine learning researchers, model training teams, or AI evaluation systems
• Excited by the intersection of AI, creativity, and music
• Operates with urgency and thrives in fast-moving, iterative environments
• 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
• 6+ years of product management experience, or equivalent experience building highly technical products
• 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