Principal Product Manager, Agentic Surfaces

Spotify

Principal Product Manager leading the evolution of personalized AI-driven recommendations at Spotify. Shaping product vision and strategy for consumer-focused AI applications.

Posted 6/18/2026full-timeRemote • New York • 🇺🇸 United StatesLead💰 $281,196 - $401,709 per yearWebsite

About the role

Key responsibilities & impact

Own the product vision, strategy, and roadmap for the agentic future of Home
Set the strategy for how Home's personalization evolves
Lead the ideation, development, and launch of agentic experiences
Translate frontier model and agent capabilities into intuitive experiences
Exercise clear, traceable judgment
Set a high bar for quality and craft
Establish the evaluation bar for agentic experiences
Use prototypes and real results to learn
Use a mix of quantitative data, experimentation, and user research
Partner deeply with engineering, ML, design, research, and data science
Influence senior stakeholders across Spotify
Balance rapid iteration with commitment to user trust, safety, and brand integrity

Requirements

What you’ll need

10+ years of product management experience, with a majority in AI, consumer-focused roles
Proven track record shipping and scaling agentic products in production at scale
Experience owning consumer products with tens or hundreds of millions of users
Demonstrated ability to balance investment across maturing and emerging technologies
Demonstrated ability to set product vision and roadmap and bring executive and developer-leadership audiences along
Exceptional product taste and instinct for what makes an experience delightful
Decisiveness under incomplete information
Highly analytical; fluent in experimentation and using data to drive decisions
Excellent communication and stakeholder management across large, distributed, cross-functional orgs
Ability to thrive in fast-paced, ambiguous environments
Deep, current expertise in how AI and agents are transforming consumer software
Experience with recommender systems, personalization, or large-scale ML-driven products
Technical background or proven ability to partner closely with ML engineers and researchers
Experience building evaluation frameworks for AI-driven or personalized products at scale
Experience influencing across broad organizations
Passion for audio, discovery, and redefining how the world finds what it loves next

Benefits

Comp & perks

Health insurance
Six month paid parental leave
401(k) retirement plan
Monthly meal allowance
23 paid days off
13 paid flexible holidays
Paid sick leave

ATS Keywords

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Hard Skills & Tools

product managementAIconsumer productsrecommender systemspersonalizationML-driven productsevaluation frameworksdata analysisexperimentationuser research

Soft Skills

communicationstakeholder managementdecisivenessanalytical thinkingleadershipstrategic visioncreativityadaptabilityinfluencecollaboration