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Product Manager II, Content Understanding (Data Products)

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, 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
  • Experience building a technical platform or data products, or other products where the result is consumed by other teams to create experiences
  • Strong grasp of the complete machine learning product lifecycle from goal setting to data collection/labeling to model development and deployment, along with measurement & iteration
  • Lead data-driven product discovery to identify high-value opportunities for ML/data products and then prioritize what to build Now-Next-Later
  • 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


Where You'll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the US region as long as we have a work location.
  • This team operates within the EST time zone for collaboration.


The United States base range for this position is $118,598 - $169,426, 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. 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.


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.



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$118598K
$169426K

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What You Should Know About Product Manager II, Content Understanding (Data Products), Spotify

Are you ready to take your product management skills to the next level? At Spotify, we're looking for a Product Manager II specializing in Content Understanding to join our team in New York, NY! Our mission is all about delivering the best Spotify experience to millions around the globe, and you'll play a crucial role in making this happen. As part of the Content Understanding team, you'll help us develop interconnected data and insights that enhance user experiences across Music, Podcasts, and Audiobooks. Imagine working on projects that involve entity resolution at scale, targeting essential user experiences like identifying audiobook associations or linking podcast guests. This role involves collaborating with a talented group of machine learning engineers and data scientists, embodying a unique fusion of technical innovation and human insight. You’ll be driving product discovery, shaping our product vision, and communicating complex ideas to a diverse audience. We need someone who understands the machine learning lifecycle, is passionate about data products, and can thrive in a dynamic environment. Not only does this position offer great flexibility, giving you the opportunity to work where you feel most productive, but it also includes a competitive salary range, impressive benefits, and a welcoming culture that celebrates diversity. If you’re eager to leverage your skills and passion for innovative data-driven products, we'd love to welcome you to our Spotify family!

Frequently Asked Questions (FAQs) for Product Manager II, Content Understanding (Data Products) Role at Spotify
What responsibilities does a Product Manager II, Content Understanding at Spotify have?

As a Product Manager II for Content Understanding at Spotify, you will drive the conceptualization and development of data and platform products, collaborating with engineers, data scientists, and domain experts to set the product vision, strategy, and roadmap. You will lead product discovery initiatives, communicate complex ideas clearly, and continuously improve your products using the build-measure-learn cycle while working cross-functionally with other teams.

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What qualifications are required for the Product Manager II position at Spotify?

To succeed as a Product Manager II in Content Understanding at Spotify, you should have experience building technical platforms or data products, a strong grasp of the complete machine learning product lifecycle, and excellent communication skills. It's also essential to be a self-starter comfortable discussing technical challenges and capable of collaborating effectively in a dynamic environment.

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What types of projects will the Product Manager II work on at Spotify?

In this role, the Product Manager II will work on innovative projects focused on developing data products that support user experiences within Spotify. This includes areas like entity resolution, which helps in linking podcast guests to audiobooks or showcasing credits for 'Now Playing.' Your focus will be on enhancing the platform's rich offerings through data modeling and machine learning solutions.

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What does Spotify value in a Product Manager II on their team?

Spotify values passion for product development, technical expertise, and the ability to communicate effectively across technical and non-technical teams. They look for someone who is data-driven, innovative in problem-solving, and a collaborative team player ready to contribute diverse perspectives to ensure strong product outcomes.

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Is there flexibility in the work environment for a Product Manager II at Spotify?

Absolutely! Spotify offers great flexibility for a Product Manager II in Content Understanding, allowing you to work where you are most comfortable within the US, ensuring effective collaboration time within the EST time zone. This empowers you to balance work-life integration while driving impactful projects.

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Common Interview Questions for Product Manager II, Content Understanding (Data Products)
Can you describe your experience with the machine learning product lifecycle?

When answering this question, highlight your understanding of each stage of the machine learning lifecycle, including goal setting, data collection, model development, deployment, and iteration. Provide specific examples from past roles to demonstrate your hands-on experience and reflect on how you've driven product success.

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How do you prioritize features for a data product?

Discuss your approach to prioritization by considering users' needs, business value, and technical feasibility. Mention utilizing frameworks like the MoSCoW method or RICE scoring to evaluate which features deliver the highest impact to Spotify's target audiences and contribute to the overall product vision.

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Tell us about a successful product you managed. What made it successful?

Use the STAR method (Situation, Task, Action, Result) to frame your response. Start by outlining the specific product and its objectives, the actions you took in managing its development, and the measurable outcomes that indicate success. Emphasize user feedback and data-driven decisions that led to improvements.

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How do you handle communication between technical and non-technical stakeholders?

Highlight your ability to simplify complex technical concepts into relatable ideas for non-technical audiences. You might want to share examples where this skill led to successful collaboration or clearer understanding across teams, ultimately supporting better decision-making and project outcomes.

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What strategies do you employ to improve a product continuously?

Discuss the importance of an iterative approach using build-measure-learn cycles. Talk about gathering user feedback, utilizing analytics to inform decisions, and how A/B testing or experiments have guided product enhancements in your previous roles.

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Can you give an example of how you've solved a complex problem within a product?

Share a specific instance where you faced a challenging issue in a product's development and the innovative solutions you implemented. Use details that reflect your analytical thinking and teamwork to navigate through obstacles, showcasing your problem-solving abilities.

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What do you think is the key to developing a successful data product?

Emphasize the importance of understanding user needs, thorough data analysis, and ensuring collaboration with experts in data science and engineering. Highlight that securing stakeholder alignment and having a clear vision of how data and products intersect are also crucial for success.

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Describe a time you had to pivot your product strategy due to unforeseen challenges.

Use this opportunity to show your adaptability by recalling a scenario where changes required you to reevaluate your approach. Discuss the reasons for the pivot, the alternative strategies considered, and how you effectively communicated these changes to your team and stakeholders.

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What tools do you prefer for product management and why?

Share a few tools that you’ve successfully integrated into your workflow, such as JIRA for project tracking, Slack for team communication, or Google Analytics for user insights. Explain how these tools have enhanced your efficiency, collaboration, and data management capabilities in driving product success.

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How do you ensure alignment with cross-functional teams at Spotify?

Highlight your proactive approach towards engaging with cross-functional teams regularly to align goals and expectations. Discuss specific methods like routine updates, collaborative workshops, or feedback sessions that you’ve used to facilitate effective partnerships and maintain focus on product objectives.

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Spotify is one of the largest online music streaming service providers founded in 2006 by Daniel Ek and Martin Lorentzon. As of March 2024, Spotify has over 615 million monthly active users, including 239 million paying subscribers around the world.

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CULTURE VALUES
Inclusive & Diverse
Empathetic
Take Risks
Transparent & Candid
Feedback Forward
Mission Driven
Collaboration over Competition
Work/Life Harmony
BENEFITS & PERKS
Maternity Leave
Paternity Leave
Snacks
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
401K Matching
Paid Sick Days
Paid Time-Off
Paid Volunteer Time
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
January 21, 2025

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