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New York, NY

Product Manager -
Podcast Recommendation Technology

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  • Product

Location

New York, NY

Job type

Permanent

What You'll Do

  • Engage with product, analytics, and user research teams to identify podcast recommendation needs for users across the globe
  • Explore new opportunities and use cases for bringing podcast recommendations to users in the Spotify experience 
  • Work with the engineering team to articulate the vision and set the roadmap for core recommendation technology for podcasts
  • Define requirements for and work with engineering to design data products and machine learning models required for broad podcast recommendation needs
  • Define, monitor, and analyze business and quality metrics for data products and machine learning models, and feed learnings back into the development process
  • Build relationships with stakeholders across the organization understand and prioritize foundational needs across use cases and short and long term horizons
  • Work closely with engineers to allow for fast development, evolution, and innovation of core data and machine learning products and tooling
  • Ensure quality of data products and machine learning models, including timeliness, performance, and accuracy
  • Make sure that your team is strong and healthy – including capabilities, happiness, resilience and growth
  • (Eventually) Work from our office in New York City

Who You Are

  • You have at least 3 years of product management experience, ideally with experience in the areas of AI or ML products and are adept at knowing when and how to use those technologies to solve product problems
  • You have worked in a product role for an internal platform or B2B environment, and are skilled at understanding the needs of and serving internal customers or teams or other businesses
  • You have demonstrated the ability to translate strong user empathy and understanding of pain points and needs into something tangible that users or customers love
  • You have experience working with engineers to set requirements for data products and/or predictive algorithms, and are passionate about building and being part of high performing teams
  • You have experience working in an Agile environment
  • You are experienced in setting and executing on a product backlog, balancing innovation, maintenance and support
  • You are experienced at creating and communicating a narrative about the value of data, models, and platforms to unlock business value and transform end user experiences
Apply now

Perks of being in the band

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Spotify On Tour, join your colleagues on trips to industry festivals and events.

Learn about life at Spotify

You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 320 million users.