{"schemaVersion":"jobsearcher.job.v1","id":"8f9937e6d2f0b3df36e053e5","url":"https://jobsearcher.com/jobs/8f9937e6d2f0b3df36e053e5","canonicalUrl":"https://jobsearcher.com/jobs/8f9937e6d2f0b3df36e053e5","title":"Technical Program Manager","description":"Engineering\n\nPermanent\n\nNew York, Toronto or Boston\n\nThe Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.\n\nWe're looking for a Technical Program Manager to help bring some of our most meaningful machine learning and personalisation work to life. You'll lead cross-functional programs that shape how hundreds of millions of listeners discover music, podcasts, and audiobooks. You'll be the connective tissue between teams who turn billions of daily listening signals into recommendations that feel personal to every listener.\n\nWhat You'll Do\n\nLead end-to-end program management for large-scale ML and personalization initiatives, bringing together engineering, data science, product, and design.\n\nDrive the delivery of recommendation systems and personalization models used by listeners around the world, with clear accountability for outcomes.\n\nOwn program roadmaps, milestones, dependency maps, and risk plans, identifying risks early and working with teams to resolve them before they become blockers.\n\nOrchestrate ML development workflows, including model training pipelines, experimentation, data infrastructure, and production deployment.\n\nPartner with engineering leaders on capacity planning, resourcing, and technical trade-off decisions.\n\nDrive alignment across ML engineering, data science, product, platform, and UX teams so everyone is working toward the same goals.\n\nSet up program metrics, reporting rhythms, and dashboards that give leadership clear visibility into progress, risks, and decisions.\n\nKeep leadership well-informed with no surprises through clear, data-informed communication, and help improve how teams work across the ML lifecycle.\n\nWho You Are\n\nYou have 8+ years of experience in technical program management, including meaningful time on ML, AI, data platforms, or similarly complex technical work.\n\nYou have a track record of delivering multi-team technical programs from early planning through production launch, and you hold yourself accountable for results.\n\nYou understand ML development workflows such as model training, experimentation, feature engineering, data pipelines, and production inference. You don't need to be an ML engineer yourself.\n\nYou build trusted relationships with engineering and product leaders, especially in distributed, cross-functional organizations.\n\nYou communicate clearly and can turn technical work into stories that make sense to everyone from engineers to executives.\n\nYou're comfortable with ambiguity and create clarity that helps teams with different priorities and timelines find a shared path forward.\n\nYou lead through influence rather than authority, and you care about the people and teams you work with.\n\nYou enjoy helping others grow and bring curiosity and openness to how programs can run better.\n\nWhere You'll Be\n\nWe offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.\nThis team operates within the US Eastern timezone for collaboration\n\nLearn about life at Spotify\n\nThe United States base range for this position is $143,659–$179,574 USD, 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, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.\n\nSpotify 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.\n\nAt Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.\n\nOur global benefits\n\nExtensive learning opportunities, through our dedicated team, GreenHouse.\nFlexible share incentives letting you choose how you share in our success.\nGlobal parental leave, six months off - for all new parents.\nAll The Feels, our employee assistance program and self-care hub.\nFlexible public holidays, swap days off according to your values and beliefs.","company":"Spotify","rawCompany":"spotify","city":"Boston","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-10-02T12:55:00.343Z","occupations":[{"code":"15-1299.09","title":"Information Technology Project Managers","slug":"information-technology-project-managers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"516210","title":"Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers","slug":"media-streaming-distribution-services-social-networks-and-other-media-networks-and-content-providers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Technical Program Manager","description":"Engineering\n\nPermanent\n\nNew York, Toronto or Boston\n\nThe Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them.\n\nWe're looking for a Technical Program Manager to help bring some of our most meaningful machine learning and personalisation work to life. You'll lead cross-functional programs that shape how hundreds of millions of listeners discover music, podcasts, and audiobooks. You'll be the connective tissue between teams who turn billions of daily listening signals into recommendations that feel personal to every listener.\n\nWhat You'll Do\n\nLead end-to-end program management for large-scale ML and personalization initiatives, bringing together engineering, data science, product, and design.\n\nDrive the delivery of recommendation systems and personalization models used by listeners around the world, with clear accountability for outcomes.\n\nOwn program roadmaps, milestones, dependency maps, and risk plans, identifying risks early and working with teams to resolve them before they become blockers.\n\nOrchestrate ML development workflows, including model training pipelines, experimentation, data infrastructure, and production deployment.\n\nPartner with engineering leaders on capacity planning, resourcing, and technical trade-off decisions.\n\nDrive alignment across ML engineering, data science, product, platform, and UX teams so everyone is working toward the same goals.\n\nSet up program metrics, reporting rhythms, and dashboards that give leadership clear visibility into progress, risks, and decisions.\n\nKeep leadership well-informed with no surprises through clear, data-informed communication, and help improve how teams work across the ML lifecycle.\n\nWho You Are\n\nYou have 8+ years of experience in technical program management, including meaningful time on ML, AI, data platforms, or similarly complex technical work.\n\nYou have a track record of delivering multi-team technical programs from early planning through production launch, and you hold yourself accountable for results.\n\nYou understand ML development workflows such as model training, experimentation, feature engineering, data pipelines, and production inference. You don't need to be an ML engineer yourself.\n\nYou build trusted relationships with engineering and product leaders, especially in distributed, cross-functional organizations.\n\nYou communicate clearly and can turn technical work into stories that make sense to everyone from engineers to executives.\n\nYou're comfortable with ambiguity and create clarity that helps teams with different priorities and timelines find a shared path forward.\n\nYou lead through influence rather than authority, and you care about the people and teams you work with.\n\nYou enjoy helping others grow and bring curiosity and openness to how programs can run better.\n\nWhere You'll Be\n\nWe offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.\nThis team operates within the US Eastern timezone for collaboration\n\nLearn about life at Spotify\n\nThe United States base range for this position is $143,659–$179,574 USD, 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, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.\n\nSpotify 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.\n\nAt Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.\n\nOur global benefits\n\nExtensive learning opportunities, through our dedicated team, GreenHouse.\nFlexible share incentives letting you choose how you share in our success.\nGlobal parental leave, six months off - for all new parents.\nAll The Feels, our employee assistance program and self-care hub.\nFlexible public holidays, swap days off according to your values and beliefs.","datePosted":"2026-10-02T12:55:00.343Z","dateModified":"2026-10-02T12:55:00.343Z","hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boston","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8f9937e6d2f0b3df36e053e5"},"url":"https://jobsearcher.com/jobs/8f9937e6d2f0b3df36e053e5"}}