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Product Manager, Artist Promotion Machine Learning
Posted on 3/15/2022
INACTIVE
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Marketing
Sales
Writing
Requirements
  • You have proven experience working as a product manager or similar discipline in cross-functional teams that have implemented machine learning models in customer-facing features
  • You have 3+ years of experience as a machine learning PM implementing machine learning models in customer-facing features
  • You ideally have experience applying machine learning models in the advertising or marketing technology space
  • You can provide demonstrable examples of guiding the machine learning lifecycle from goal setting to data gathering to deployment, measurement & iteration
  • Are an outstanding communicator, comfortable with both writing about and presenting technical concepts in user-friendly ways to get your ideas heard and build consensus among a wide array of collaborators
  • Are passionate about the opportunity to use machine learning to build connections between artists and listeners
  • You have a team-first approach and have developed techniques to ensure your teams are happy, motivated, and productive
  • You are comfortable working with distributed teams across multiple offices and timezones
Responsibilities
  • Set the vision and manage the roadmap for machine learning capabilities that address customer problems in ways that meet business goals, including:
  • Helping our artist customers set the right campaign budgets to achieve their marketing goals
  • Helping our artist customers make decisions about which content to promote to achieve specific audience growth outcomes
  • Determining which Spotify listeners to show a promotion to best achieve a specific artist's marketing goal
  • Manage the machine learning lifecycle from opportunity identification to data gathering to deployment
  • Prioritize new problems to solve opportunities based on internal + external customer needs, business impact potential, and technical costs
  • Work closely with other marketing tools PMs, Sales, and Product Insights to understand needs and identify ML investments that will unlock the most value
  • Define success metrics that measure customer impact and business value, as well as parameters that enable engineers and data scientists to scope ML solutions
  • Demonstrate and help instill ML product strategy and best practices across our teams
  • Ensure your team has a healthy balance of innovation, reducing technical debt, and providing maintenance and support
Spotify

5,001-10,000 employees

Leading music and podcast streaming platform
Company mission
Spotify's 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 opportunity to enjoy and be inspired by it. Today, Spotify is the world’s most popular audio streaming subscription service with 406m users, including 180m subscribers, across 184 markets.
Benefits
  • Extensive learning opportunities, through our dedicated team, GreenHouse
  • Global parental leave, six months off - fully paid - for all new parents
  • Flexible public holidays, swap days off according to your values and beliefs
  • Flexible share incentives letting you choose how you share in our success
  • All The Feels, our employee assistance program and self-care hub
  • Spotify On Tour, join your colleagues on trips to industry festivals and events
Company Values
  • Innovative: We move fast and take big risks
  • Sincere: We have no time for internal politics
  • Passionate: We revel in what we do
  • Collaborative: We recognize that we're all in this together
  • Playful: We don't take ourselves too seriously