Principal Product Manager
Technology, Data & Digital · Product & Design · Product Management
In short
Spotify is looking for a Principal Product Manager to lead the product vision, strategy, and execution for Engagement Journeys within the Personalization team. This role involves building intelligent engagement systems, partnering with ML/Data Science, and influencing multiple Spotify surfaces to enhance listener discovery and deepen engagement with audio content.
Responsibilities
- Define and drive the product vision, strategy, roadmap, and execution for Engagement Journeys across Spotify's consumer experience.
- Build intelligent engagement systems that help listeners naturally discover new formats, features, and devices based on meaningful behavioral signals.
- Partner with Machine Learning and Data Science teams to develop models that identify user readiness, engagement opportunities, and long-term growth potential.
- Translate advances in AI, machine learning, and agent technologies into intuitive product experiences.
- Work closely with Engineering, Design, Research, and Data Science to rapidly prototype, experiment, learn, and deliver high-impact product improvements.
- Influence the evolution of multiple Spotify surfaces and experiences so engagement journeys feel connected rather than fragmented.
- Define how Spotify measures meaningful engagement, establishing frameworks that help teams prioritize sustainable listener value over short-term gains.
- Make thoughtful product decisions using behavioral insights, experimentation, customer research, and data, even when operating with ambiguity.
- Build alignment across senior leaders and cross-functional teams to deliver initiatives that span multiple organizations.
- Balance innovation with user trust, quality, privacy, and long-term platform integrity.
Requirements
- 10+ years of product management experience building consumer products at significant global scale.
- Successfully delivered products that drive sustained engagement and long-term customer value.
- Deep expertise in experimentation, behavioral analytics, product metrics, and data-informed decision making.
- Ability to develop product strategy and align diverse stakeholders behind a shared vision.
- Experience influencing products that span multiple user experiences, platforms, or organizational boundaries.
- Experience working with personalization, recommender systems, or machine learning-powered products.
- Experience building AI-powered or LLM-enabled consumer experiences, or excitement about their potential to improve user experiences responsibly.
- Passion for helping people discover, enjoy, and deepen their relationship with audio experiences.
Desired Qualifications
- Care deeply about product quality, user experience, and the details that create exceptional customer experiences.
- Make thoughtful decisions in ambiguous environments, balancing data, customer needs, and business priorities.
- Communicate clearly and build strong partnerships across Product, Engineering, Design, Research, and Data Science.
- Curiosity about behavioral science, user motivation, or engagement research and enjoy applying those insights to product design.
- Enjoy exploring data, developing measurement frameworks, and continuously improving how product success is measured.
Benefits
- Flexibility to work where you work best within the North America region.
- Team operates within the Eastern Standard time zone for collaboration.
- The United States base range for this position is $182,308 - $260,441 plus equity.
- 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.
- Extensive learning opportunities, through our dedicated team, GreenHouse.
- Flexible share incentives letting you choose how you share in our success.
- All The Feels, our employee assistance program and self-care hub.
- Flexible public holidays, swap days off according to your values and beliefs.
#Product#Personalization#Engagement#AI#Machine Learning#Data Science#Consumer Products#Audio#Music#Podcasts#Audiobooks
Company
Spotify
Job Posted
4 days ago
Employment Type
Full Time
WorkMode
Remote
Experience Level
Senior
Locations
New York, United States
Applicants
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