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Job Opportunity in USA as a Product Manager – Podcast Recommendation Technology

Job Opportunity in USA as a Product Manager – Podcast Recommendation Technology

États-Unis 30 oct. 2020
Spotify

Spotify

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DÉTAILS OPPORTUNITÉ

Récompense totale
0 $
Organisation à but non lucratif
Région
Pays hôte
Date limite
30 oct. 2020
Niveau d'études
Type d'opportunité
Financement d'opportunité
Financement complet
Pays éligibles
Région éligible
Toutes les régions

Spotify provides a job opportunity in USA to work as a product manager in podcast recommendation technology. The company is looking for a product manager to join company's personalization platform team to accelerate the efforts to understand podcast listening behavior and taste, build core podcast recommendation technology, and consistently match user interests with relevant podcast content. You’ll work with stakeholders, internal customer teams, user researchers and data scientists to build a road map and strategy for the core podcast recommendation technology needed to fuel a best in class podcast discovery experience. You will work with a team of crack engineers to build data products and machine learning models that represent user taste and interests and the vast and growing Spotify podcast content catalog, and collaborate with feature teams across the product to build compelling user podcast experiences. Products you build will enable personalized podcast experiences for users across the Spotify ecosystem. The personalization platform team builds models, tools, and data products that represent users, their habits and tastes and their relationship to content and creators, as well as the APIs to serve that intelligence. 

Eligibility:

You must 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.
  • 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.
  • 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.
  • Experience working in an Agile environment.
  • Be experienced in setting and executing on a product backlog, balancing innovation, maintenance and support.
  • Be experienced at creating and communicating a narrative about the value of data, models, and platforms to unlock business value and transform end user experiences.

Your Responsibilities:

You will be responsible of:

  1. Engage with product, analytics, and user research teams to identify podcast recommendation needs for users across the globe.
  2. Explore new opportunities and use cases for bringing podcast recommendations to users in the Spotify experience. 
  3. Work with the engineering team to articulate the vision and set the road map for core recommendation technology for podcasts.
  4. Define requirements for and work with engineering to design data products and machine learning models required for broad podcast recommendation needs.
  5. Define, monitor, and analyze business and quality metrics for data products and machine learning models, and feed learning back into the development process.
  6. Build relationships with stakeholders across the organization to understand and prioritize foundational needs across use cases and short and long term horizons.
  7. Work closely with engineers to allow for fast development, evolution, and innovation of core data and machine learning products and tooling.
  8. Ensure quality of data products and machine learning models, including timeliness, performance, and accuracy.
  9. Make sure that your team is strong and healthy.
  10. Work from company's office in New York City.

About Spotify:

Spotify is a digital music, podcast and video streaming service that gives you access to millions of songs and other content from artists all over the world. Basic functions such as playing music are totally free, but you can also choose to upgrade to Spotify Premium. Either way, you can: Choose what you want to listen to with Browse and Search, get recommendations from personalized features, such as Discover Weekly, and Daily Mix, Build collections of music, see what friends, artists, and celebrities listen to and create your own radio stations.

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