Product Manager, ML Research

Suno Suno · Multimodal · Boston, MA · Product

Product Manager for ML Research at Suno, a leading AI music company. This role focuses on defining evaluation frameworks, connecting user needs to model capabilities, shaping research priorities, and bringing new models to market. The PM will partner closely with ML researchers and engineers, bringing product judgment to the model development process. Requires strong technical intuition and experience with ML research or evaluation systems.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Go deep technically — Run experiments, dig into model behavior, and work in the details alongside researchers and data scientists.

Skills

Required

  • 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

Nice to have

  • 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.

What the JD emphasized

  • Own the evaluation frameworks and quality metrics
  • Connect creator needs to model capabilities
  • Bridge product and research
  • Shape model priorities
  • Bring new models and capabilities to market
  • Go deep technically
  • partnering closely with machine learning researchers
  • AI evaluation systems
  • designing or building AI evaluation frameworks, benchmarks, or human evaluation systems

Other signals

  • Product Manager for ML Research
  • Define evaluation frameworks and quality metrics for foundational music model
  • Connect creator needs to model capabilities
  • Shape model priorities in partnership with Research
  • Bring new models and capabilities to market
  • Run experiments, dig into model behavior