# Product Manager, ML Research

**Company:** [Suno](https://hotfix.jobs/companies/suno)
**Location:** Boston, MA, San Francisco, CA
**Role:** Product Management
**Salary:** $250k – $330k/yr
**Experience:** 6+ years
**Skills:** Product Management, Machine Learning, ai evaluation, Model Training, Data Science, technical product development, ai research, benchmarks, large-scale datasets, annotation pipelines
**Posted:** 2026-07-17

> 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.

## Job Description

## 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)

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