Lead recommendations strategy at Suno to enhance music creation personalization for users.
Posted by employer 2 days ago
First seen on Joblaze 20 hours ago
Last verified on the company career page 20 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
Practical constraints
AI in the day-to-day
null
Requirements
Benefits
Joblaze summary
The Product Manager for Recommendations at Suno will focus on enhancing user engagement by developing a personalized recommendations system that inspires music creation. This role requires a strong technical background in recommendation systems, data analysis, and a collaborative approach with Machine Learning Engineers and Data Scientists. Ideal candidates will have over six years of product management experience, particularly in consumer personalization, and a passion for understanding user preferences. Suno's fast-paced environment offers the chance to shape innovative products in the AI music space.
Joblaze insights
Quick facts
From the original posting
Founded in 2023 by Harvard alumni with a shared passion for music, Suno has quickly grown to 250 employees while empowering more than 100 million people to create original songs. In 2026, we raised a $400 million Series D at a $5.4 billion valuation to continue building innovative products that amplify creativity and imagination.
At the core of Suno’s user experience is inspiring people to create their next favorite song. Personalization makes this possible, by helping people discover music they love and ideas that spark their own creativity. We are seeking a Product Manager to lead recommendations across Suno. You will define the strategy and roadmap and partner closely with Machine Learning Engineers and Data Scientists to build our recommendations system from the ground up. This is a rare opportunity to shape personalization for music creation: defining how a product learns someone’s taste and uses that understanding to expand their creative possibilities. This role is ideal for a technical Product Manager with deep experience in and a passion for recommendations. You are hands-on with data, comfortable working through technical details, and excited to build experiences that make Suno more valuable with every visit.
Listen to the Suno version of this role! https://suno.com/song/d7e92b5b-4936-4c7f-ac0a-6d814672526c
Lead personalization across Suno — Own the recommendations strategy and roadmap across all product surfaces and problems. Partner with UX product teams to make their features more personalized.
Shape recommendations strategy for creation — Partner with Machine Learning Engineers and Data Scientists to design approaches and experiments that inspire users to create. Lead product thinking in that partnership, grounding technical decisions in user needs and behavior.
Go deep with data — Build a detailed understanding of our users and product surfaces. Own experiments that move success metrics.
6+ years of product management experience, with a track record of improving consumer experiences through personalization
An effective thought partner to technical teams, fluent in recommendation systems and their evaluation
Hands-on with data analysis, with experience defining success metrics and designing rigorous experiments
Sound product judgment that connects user needs, algorithm development, and business impact
Excited to build from scratch and bring clarity to ambiguous problems
A clear communicator who aligns teams around a shared vision
Passionate about personalization and curious about how people’s tastes shape what they listen to and create
Applicants must be eligible to work in the US.
This role is expected to work from the designated Suno office 5 days a week, per Suno's company policy.
Must be willing to travel once per quarter for larger team meetings.
Company Equity Package
16 Weeks of Paid Parental Leave
Creative Education Stipend
Generous Commuter Allowance
In-Office Lunch (5 days per week)
$250K – $330K base salary (before equity)
Standard company text repeated across Suno's postings is omitted here.