Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their work and billions of fans the opportunity to enjoy and be inspired by it. We are looking for a creative, passionate, and experienced Product Manager to join the Music Mission team who owns Spotify’s end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.
Spotify for Artists is used by more than 1,000,000 active artists to get insights, reach new listeners, and deepen the connection with their audience. Building upon the momentum of our native marketing tools, you will set the vision and strategy for building the machine learning foundations to power and enable measurable marketing tools that find new listeners and activate existing fans empowering artists to grow their audience.
In this role, you will work with a cross-functional team from Design, Engineering, and Product Insights to define the roadmap for artist promotion tools on Spotify. You will also collaborate with Sales, Marketing, Operations, Finance, and Legal. From prototyping to development to commercialization, you’ll manage the full lifecycle for machine learning foundations that power artist marketing tools including internal forecasting, customer facing insights, and audience segments.
What You’ll Do
Who You Are
Where You’ll Be
The United States base range for this position is $112,298.00 – $160,425.00 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. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.
Staff, Machine Learning Engineer (Eats Search & Discovery) Team Overview Coupang Eats is a new service by Coupang where we...
How to applyWhy SoftwareOne? Here at SoftwareOne, we give you the flexibility to unleash your creativity, without limits. We encourage autonomy and...
How to applySummary We are a group of researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models...
How to applyWe seek a highly skilled Python Machine Learning Engineer with extensive experience designing, developing and deploying Machine Learning models and...
How to applyAre you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the...
How to applyBy applying to this position, your application is automatically considered for the range of Machine Learning Scientist roles we have...
How to apply