技术项目经理
Technical Program Manager
个性化团队让每位听众决定接下来听什么变得更简单、更有趣。从Blend到Discover Weekly，我们打造了Spotify最受欢迎的功能之一。我们通过比任何人都更深入地理解音乐和播客的世界来实现这些功能。加入我们，你将通过为每一位用户做出出色的推荐，继续让数百万用户聆听。
我们正在寻找一名技术项目经理，帮助我们将一些最重要的机器学习和个性化工作变为现实。你将领导跨职能项目，塑造数亿听众发现音乐、播客和有声书的方式。你将成为将数十亿每日收听信号转化为对每位听众都个性化的推荐的各个团队之间的纽带。
该职位在美国的薪资范围为143,659–179,574美元，加上股权。该职位提供的福利包括健康保险、六个月带薪育儿假、401(k)退休计划、每月餐饮补贴、23天带薪假期、带薪灵活假日和带薪病假。此范围可能会在将来进行调整。
Spotify是平权雇主。无论你来自哪里、外貌如何，或耳机里播放的是什么，你都可以在Spotify找到属于自己的位置。我们的平台属于每个人，我们的工作场所也是如此。我们业务中代表和放大越多的声音，我们就能更加繁荣发展、贡献力量并保持前瞻性！所以，请带来你的个人经历、观点和背景。正是在我们的差异中，我们将找到推动世界聆听方式不断革新的力量。
在Spotify，我们热衷于包容性，并确保整个招聘过程对每个人都是可访问的。我们在面试过程中提供合理调整的申请方式，并协助满足你的需求。如果你在申请或面试过程的任何阶段需要调整，请告诉我们——我们会尽一切努力支持你。
你将负责
- 负责大规模机器学习和个性化项目的全流程项目管理，整合工程、数据科学、产品和设计团队。
- 推动全球听众使用的推荐系统和个性化模型的交付，对结果有明确的责任。
- 负责项目路线图、里程碑、依赖关系图和风险计划，提前识别风险。
查看英文原文
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
Lead end-to-end program management for large-scale ML and personalization initiatives, bringing together engineering, data science, product, and design.
Drive the delivery of recommendation systems and personalization models used by listeners around the world, with clear accountability for outcomes.
Own program roadmaps, milestones, dependency maps, and risk plans, identifying risks early and working with teams to resolve them before they become blockers.
Orchestrate ML development workflows, including model training pipelines, experimentation, data infrastructure, and production deployment.
Partner with engineering leaders on capacity planning, resourcing, and technical trade-off decisions.
Drive alignment across ML engineering, data science, product, platform, and UX teams so everyone is working toward the same goals.
Set up program metrics, reporting rhythms, and dashboards that give leadership clear visibility into progress, risks, and decisions.
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
You have 8+ years of experience in technical program management, including meaningful time on ML, AI, data platforms, or similarly complex technical work.
You have a track record of delivering multi-team technical programs from early planning through production launch, and you hold yourself accountable for results.
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.
You build trusted relationships with engineering and product leaders, especially in distributed, cross-functional organizations.
You communicate clearly and can turn technical work into stories that make sense to everyone from engineers to executives.
You're comfortable with ambiguity and create clarity that helps teams with different priorities and timelines find a shared path forward.
You lead through influence rather than authority, and you care about the people and teams you work with.
You enjoy helping others grow and bring curiosity and openness to how programs can run better.
Where You'll Be
We 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.
This team operates within the US Eastern timezone for collaboration
The 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.
Spotify 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.
At 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.