Spotify Logo

Spotify

Junior Product Manager, Content Understanding (Data Products)

Sorry, this job was removed at 12:10 p.m. (EST) on Tuesday, Apr 15, 2025
Hybrid
New York, NY, USA
96K-137K Annually
Hybrid
New York, NY, USA
96K-137K Annually

Similar Jobs

2 Hours Ago
Hybrid
New York, NY, USA
95K-120K Annually
Senior level
95K-120K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Serve as a technical functional analyst for risk-related programs, gathering and influencing requirements, coordinating vendors and development teams, managing project plans, timelines, budgets, and test plans, and integrating cloud and AI solutions into GRC and risk-management systems. Produce leadership-level documentation and status reporting while collaborating with Architecture, Risk IT, and business partners to deliver technical solutions that improve risk capabilities.
Top Skills: AIAzure DevopsCloudPower BIPowerPointPythonSQL
4 Hours Ago
Hybrid
70K-95K Annually
Senior level
70K-95K Annually
Senior level
Information Technology • Insurance • Software
Serve as a trusted advisor leading complex enterprise SaaS implementations for MGA/insurance clients. Gather requirements, configure applications, execute data conversions, manage full project lifecycle, deliver training and UAT, liaise with product/engineering, mentor consultants, and ensure projects meet scope, budget, timeline, and quality targets.
Top Skills: AgileBackend Development SystemsMS OfficePmbokPolicy Administration SystemsRatersSaaSVertafore
4 Hours Ago
Remote or Hybrid
New York, NY, USA
Expert/Leader
Expert/Leader
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Lead the global obligations management function: design and maintain a centralized obligations register, map legal and partner mandates to controls, manage RFI knowledge base and audit register, ensure traceability and remediation, partner with regional legal/compliance/audit teams, and scale the team and GRC tooling to replace manual trackers.

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them.


The Content Understanding team works at the heart of the Content Platform R&D studio to develop rich and interconnected data and insights to enable delightful consumer experiences through a fusion of machine and human expertise. We power use cases across Spotify verticals - Music, Podcasts, and Audiobooks. We are seeking a product manager for a fast-paced team that is enabling a deep understanding of the Spotify catalogs through entity resolution at scale. The team’s goal is to model catalog data (entities and relationship between entities) and create data products for our internal Spotify customer teams to power Spotify’s user experiences like Now Playing View Credits, Audiobooks associations, and Cross promotion (e.g. linking podcast guests to audiobooks authors). We are solving these problems through innovative machine learning models, deep subject matter expertise, and close integration with human-in-the-loop processes in Spotify. 


The team is composed of machine learning engineers, data and backend engineers, and subject matter experts who can drive product exploration and development initiatives to convert deep insights about our Spotify catalogs into engaging product offerings. 


What You'll Do

  • Drive the conceptualization and development of data and platform products Collaborate with a team of skilled engineers, researchers, data scientists, and domain experts to set the product vision, strategy, and roadmap for your area.
  • Lead product discovery to find opportunities across Spotify for your team to solve.
  • Communicate complex concepts and experiments in a clear and effective manner to technical and non-technical audiences.
  • Continually improve your products via an ongoing build-measure-learn cycle.
  • Collaborate cross-functionally with other teams on product development and new initiatives.

Who You Are

  • Good grasp of the complete machine learning product lifecycle from goal setting to data collection/labeling to model development and deployment, to drive metrics-driven annotation processes. 
  • Passionate about how products work “under the hood” and are comfortable discussing technical challenges with engineers.
  • Self-starter who can collaborate with cross-functional partners in a dynamic environment and deliver results.
  • Excellent verbal and written communication skills.
  • A great opportunity for engineers/data scientists looking to transition to a product management role.

Where You'll Be

  • This role is based in New York City (USA).
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $95,658 - $136,654 plus equity. The benefits available for this position include 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. These ranges may be modified in the future.


Spotify is an equal opportunity employer. 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.


At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.


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.


Spotify New York, New York, USA Office

4 World Trade Center, New York, NY, United States, 10007

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account