[All remote jobs](https://jobicy.com/jobs.md)[![Spotify logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/03/Jobicy-210328105941-289246.jpg)](https://jobicy.com/company/spotify.md)[Spotify](https://jobicy.com/company/spotify.md) # Machine Learning Engineering Manager II AI Summary Spotify is seeking a Machine Learning Engineering Manager II to lead the Samba team within its Personalization Mission. The role combines people leadership, technical strategy, and delivery oversight for recommendation and sequencing systems used in listening experiences such as Autoplay, Radio, and Mixes. The manager will guide machine learning, backend, and data engineers while balancing listener experience, business objectives, scalability, experimentation, and reliability. Success requires strong production ML knowledge, empathetic coaching, and effective collaboration with product and engineering partners. The position is based in Stockholm or London and includes both work-from-home flexibility and in-person meetings.[Apply for this job](#job-application)[View company](https://jobicy.com/company/spotify.md)ShareRemote from[UK](https://jobicy.com/job-region/uk.md), [Sweden](https://jobicy.com/job-region/sweden.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished14 Nov 2026Apply before14 Dec 2026Listing views28Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. 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](https://jobicy.com/company/spotify.md)’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. At Spotify, great personalization is about more than recommending the right song. It’s about creating listening experiences that feel effortless and meaningful while balancing the needs of listeners, creators, and our business. The Samba team, part of Spotify’s Personalization Mission, works on multi-objective balancing and sequencing for personalized listening experiences like Autoplay, Radio, and Mixes. Our engineers bring together machine learning, backend engineering, and data engineering to build systems that support Spotify’s financial objectives while keeping listeners at the center of what we do. We’re looking for an Engineering Manager to lead this team, develop our engineers, and help shape the technical direction of systems that influence how millions of people experience Spotify. ### What You’ll Do * Lead and grow a team of machine learning, backend, and data engineers, supporting their development and helping them deliver their best work.Shape the team’s technical strategy and execution, ensuring engineering efforts align with listener needs and Spotify’s broader business goals. * Guide the development of machine learning and recommendation systems that balance multiple objectives across personalized listening experiences. * Collaborate with Product and engineering partners to define priorities, align on outcomes, and translate complex challenges into clear plans. * Support the team in making thoughtful technical decisions across experimentation, scalability, system reliability, and model performance. * Create a culture of ownership, collaboration, and continuous improvement, where engineers feel empowered to experiment and learn. * Drive effective planning and delivery while balancing immediate priorities with long-term technical health. * Foster an inclusive, supportive team environment through coaching, feedback, and thoughtful people leadership. ### Who You Are * You have experience managing and developing engineering teams, with a track record of helping people grow and delivering impactful results. * You bring a strong technical background in machine learning, software engineering, or related areas, and can confidently guide technical conversations. * You understand the opportunities and challenges of developing and operating machine learning systems in production. * You have experience working with cross-functional partners to define priorities, navigate trade-offs, and deliver against shared goals. * You are comfortable leading teams through ambiguity and helping engineers make informed technical decisions. * You care about building inclusive, collaborative environments where people feel supported and empowered. * You communicate with clarity, lead with empathy, and know how to balance people, technology, and business needs ### Where You’ll Be * This role is based in Stockholm or London * 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. ### Compensation ### Additional Information 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. Show more [Apply now >](https://jobicy.com/jobs/162092-machine-learning-engineering-manager-ii.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior leadership role responsible for both people development and the technical direction of high-scale production recommendation systems. It requires navigating competing product, business, reliability, and model-performance objectives under ambiguity. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$190,000US market range (per year)$155k–$240k0$264k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The yearly cadence is inferred from the permanent, senior engineering-management role; estimated annual compensation is presented in USD for the configured market and is not employer-verified. ## Core skills Skills and capabilities most closely associated with this opportunity. [Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Recommendation Systems](https://jobicy.com/jobs?search_keywords=Recommendation%20Systems.md)[Engineering Leadership](https://jobicy.com/jobs?search_keywords=Engineering%20Leadership.md)[People Management](https://jobicy.com/jobs?search_keywords=People%20Management.md)[Technical Strategy](https://jobicy.com/jobs?search_keywords=Technical%20Strategy.md)[Backend Engineering](https://jobicy.com/jobs?search_keywords=Backend%20Engineering.md)[Data Engineering](https://jobicy.com/jobs?search_keywords=Data%20Engineering.md)[Production ML Systems](https://jobicy.com/jobs?search_keywords=Production%20ML%20Systems.md)[Experimentation](https://jobicy.com/jobs?search_keywords=Experimentation.md)[System Scalability](https://jobicy.com/jobs?search_keywords=System%20Scalability.md)[System Reliability](https://jobicy.com/jobs?search_keywords=System%20Reliability.md)[Cross-functional Collaboration](https://jobicy.com/jobs?search_keywords=Cross-functional%20Collaboration.md)[Product Prioritization](https://jobicy.com/jobs?search_keywords=Product%20Prioritization.md)[Team Coaching](https://jobicy.com/jobs?search_keywords=Team%20Coaching.md) Sample interview questionsHow would you balance listener satisfaction, creator outcomes, and commercial objectives in a recommendation system?I would define measurable objectives for each stakeholder group, establish guardrails for user trust and long-term engagement, and use multi-objective optimization with transparent trade-off decisions. I would validate changes through carefully designed experiments and monitor both short-term and long-term effects. How do you lead an engineering team through an ambiguous technical problem? I clarify the intended outcome, identify the key unknowns, and create a structured decision process with owners, milestones, and measurable hypotheses. I give engineers space to explore while ensuring risks, dependencies, and decisions are communicated early. What practices help keep machine learning systems reliable in production? I prioritize data-quality checks, model and feature monitoring, reproducible training pipelines, controlled rollouts, rollback procedures, and clear ownership for operational incidents. Reliability should be designed alongside model quality rather than treated as a post-launch concern. How do you support the development of engineers with different technical backgrounds? I use regular one-to-ones to understand each person's goals, strengths, and growth areas, then provide targeted feedback, stretch opportunities, and coaching. I also create an inclusive environment where knowledge sharing and constructive technical debate are expected. How would you decide between improving a current model and investing in platform or infrastructure work? I would assess expected user and business impact, technical risk, operational cost, and the degree to which infrastructure limits future delivery. I would make the trade-off visible to stakeholders and maintain a balanced roadmap that protects long-term technical health. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. 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