Product Manager - Machine Learning User Experience Interface
New York, NY
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.
At Spotify, we want to create the best product that matches the perfect music at the perfect moment for our over 300 million users. Core to this mission is having an incredibly personalized platform for our customers and being able to recommend the most relevant content to surface in any context. This mission begins with Machine Learning. It is crafted from the insights and ideas our engineers generate from the data, buoyed by the connections they make with fellow specialists. Encouraging those connections and building a magical experience is our Machine Learning Platform mission, and we’re looking for a Product Manager to help drive these efforts.
Collaborate with engineers, researchers, data scientists, designers and other product managers to craft the experience for Machine Learning practitioners across Spotify’s global offices. Enabling our ML experts to be successful at driving new initiatives and enhancing our world class music recommendation systems. The outputs of the teams building on top of our platform will connect the creators on Spotify’s platform to the rapidly growing global Spotify user base.
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 345 million users.
At Spotify, we want to create the best product that matches the perfect music at the perfect moment for our over 300 million users. Core to this mission is having an incredibly personalized platform for our customers and being able to recommend the most relevant content to surface in any context. This mission begins with Machine Learning. It is crafted from the insights and ideas our engineers generate from the data, buoyed by the connections they make with fellow specialists. Encouraging those connections and building a magical experience is our Machine Learning Platform mission, and we’re looking for a Product Manager to help drive these efforts.
Collaborate with engineers, researchers, data scientists, designers and other product managers to craft the experience for Machine Learning practitioners across Spotify’s global offices. Enabling our ML experts to be successful at driving new initiatives and enhancing our world class music recommendation systems. The outputs of the teams building on top of our platform will connect the creators on Spotify’s platform to the rapidly growing global Spotify user base.
What You'll Do
- Lead the product vision of ML Home, our Backstage plugin that unifies our ML platform components and helps teams across Spotify collaborate, discover, and observe ML powered products.
- Lead the strategy and roadmap for ML Home, incorporating an iterative product building approach that prioritizes impact and continuous feedback..
- Work closely with internal research and production teams to better understand their use cases and create a Product Roadmap to meet their needs.
- Establish product metrics that reflect product success and the progress of users on the platform. Drive efforts that increase performance on these metrics and the user experience.
- Serve as a product evangelist for ML products internally and externally.
- Support ML education efforts and contribute to strategies that increase ML competence.
- Be a champion of an inclusive team environment, while inspiring your peers to perform at their sustainable peak.
Who You Are
- You have 2 years or more of product management experience and have experience defining product roadmaps – ideally for infrastructure or technical products.
- You have a high level understanding of the Machine Learning workflow, the terminology and the unique challenges associated with the domain
- You have strong empathy for your product users and obsessively champion their needs with your engineering team.
- You are a great teammate with a proven track record to work cross-functionally and establish relationships with customer teams.
- You have an appetite for responsibility but are willing to step back and support your team to achieve success.
- You enjoy the ability operate effectively and autonomously in situations of ambiguity, with only high-level direction.
Where You'll Be
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours.
- Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located in that time zone.
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
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 345 million users.
Tags: Engineering Machine Learning Research Streaming
Perks/benefits: Career development
Region:
North America
Country:
United States
Job stats:
13
3
0
Categories:
Leadership Jobs
Machine Learning Jobs
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