Principal Product Manager, Agentic Surfaces
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Job Description
Principal Product Manager leading the evolution of personalized AI-driven recommendations at Spotify. Shaping product vision and strategy for consumer-focused AI applications.
Responsibilities:
- 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:
- 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:
- 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
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