Product Manager - Monetization ML (NLP)
United States of America (Home Mix)
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!
At Spotify Advertising, our part of that mission is to build the next generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities to define the insights product for our business.
We are looking for a hardworking self motivated Product Manager to join the centralized machine learning product team for ad supported experiences at Spotify. Machine learning is a crucial part of our future as we pioneer new advertising strategies to better monetize Spotify users without compromising user experience. You will collaborate with skilled machine learning engineers and other Product Managers to advance the way we measure and target users on Spotify. Your work will lead the charge in improving monetization for brands, artists, podcasters and ad products across Spotify.
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.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
We are looking for a hardworking self motivated Product Manager to join the centralized machine learning product team for ad supported experiences at Spotify. Machine learning is a crucial part of our future as we pioneer new advertising strategies to better monetize Spotify users without compromising user experience. You will collaborate with skilled machine learning engineers and other Product Managers to advance the way we measure and target users on Spotify. Your work will lead the charge in improving monetization for brands, artists, podcasters and ad products across Spotify.
What You'll Do
- Work with an NLP focused machine learning engineering team to articulate your product vision and set a roadmap for centralized machine learning work
- Lead priorities from a number of partners
- Ensure the team aligns with the company’s short and long term goals
- Focus on areas like user and device states, ad preferences, user engagement and retention
- Provide business context feedback to the team in order to steer product development decisions
- Orchestrate product launch phases from internal alphas through GA with rigorous testing to produce positive business value without compromising user experience
- Keep the team healthy
Who You Are
- You are experienced in collecting partner feedback and prioritizing projects within short and long term company goals
- You know how to communicate with partners, as well as working closely with a team of machine learning engineers and data scientists focused on NLP problems
- You are experienced in setting and executing on a product backlog, balancing innovation, maintenance and support
- You are familiar with NLP machine learning technology and how it can be applied to monetization (in a non-technical way)
- You are experienced working with agile development teams
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
- 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..
- Working hours? We operate within the Eastern Standard time zone for collaboration
- #remote
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.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
Tags: Agile Engineering Machine Learning NLP Streaming Testing
Perks/benefits: Career development Home office stipend
Region:
North America
Country:
United States
Job stats:
23
3
0
Categories:
Leadership Jobs
Machine Learning Jobs
NLP Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Data Engineer II jobs
- Open Junior Data Scientist jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs