Technical Program Manager
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 21h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-09-30). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Toronto, United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $105k–183.3k/yr
Middle 50% of 1102 listings that do state pay — Operations · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 22h ago · last seen just now
The listing
The 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.
We'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.
What You'll Do
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Lead end-to-end program management for large-scale ML and personalization initiatives, bringing together engineering, data science, product, and design.
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Drive the delivery of recommendation systems and personalization models used by listeners around the world, with clear accountability for outcomes.
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Own program roadmaps, milestones, dependency maps, and risk plans, identifying risks early and working with teams to resolve them before they become blockers.
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Orchestrate ML development workflows, including model training pipelines, experimentation, data infrastructure, and production deployment.
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Partner with engineering leaders on capacity planning, resourcing, and technical trade-off decisions.
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Drive alignment across ML engineering, data science, product, platform, and UX teams so everyone is working toward the same goals.
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Set up program metrics, reporting rhythms, and dashboards that give leadership clear visibility into progress, risks, and decisions.
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Keep leadership well-informed with no surprises through clear, data-informed communication, and help improve how teams work across the ML lifecycle.
Who You Are
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You have 8+ years of experience in technical program management, including meaningful time on ML, AI, data platforms, or similarly complex technical work.
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You have a track record of delivering multi-team technical programs from early planning through production launch, and you hold yourself accountable for results.
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You 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.
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You build trusted relationships with engineering and product leaders, especially in distributed, cross-functional organizations.
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You communicate clearly and can turn technical work into stories that make sense to everyone from engineers to executives.
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You're comfortable with ambiguity and create clarity that helps teams with different priorities and timelines find a shared path forward.
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You lead through influence rather than authority, and you care about the people and teams you work with.
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You enjoy helping others grow and bring curiosity and openness to how programs can run better.