Why This Job is Featured on The SaaS Jobs
This Senior Engineering Manager role stands out in the SaaS ecosystem because it sits where product platform strategy meets production-grade generative AI. Spotify is operating at a scale where “agentic systems” are not experiments but foundational capabilities that must work across multiple user surfaces and teams. The remit to converge disparate agent implementations into a single engine signals a platform-minded approach typical of mature SaaS organisations investing in reusable infrastructure rather than isolated features.
From a SaaS career perspective, the work builds durable experience in turning frontier ML into reliable, measurable product value. It combines architecture ownership, LLM orchestration, evaluation discipline, and cost and performance considerations that increasingly define how AI-enabled SaaS is built and operated. The cross-functional scope also develops the kind of influence skills needed to align research, engineering, and product roadmaps around shared metrics and long-term maintainability.
The role is best suited to engineering leaders who prefer high-leverage work across multiple teams and can switch between technical depth and organisational coordination. It will particularly fit those who enjoy ambiguity in emerging AI patterns, while still holding a strong bias toward shipping, standardising, and scaling systems used by large audiences.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Spotify’s Personalization team is building the next generation of intelligent listening experiences. Across surfaces like DJ, Search, AI Playlists, and Home, we’re evolving from standalone features into a unified, agent-powered platform.
Generative AI is transforming Spotify's product capabilities and technical architecture. Agent frameworks, LLM orchestration, and agentic reasoning present huge opportunities for our products to serve more user needs and use cases, and to unlock richer, more dynamic relationships between listeners and the things they love.
This Senior Engineering Manager for Agentic Systems will focus on the architecture and evolution of Spotify agent-powered features. This role sits at the intersection of production systems engineering, LLM infrastructure, evaluation science, and applied research, and it requires someone who can operate fluidly across all of them. You will work as a senior individual contributor with significant architectural authority, partnering with a cross-functional team to define the technical strategy for how Spotify's agents are built, evaluated, and scaled, and driving the consolidation of our agent implementations onto a single engine that can power the next generation of the product.
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What You'll Do
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Be accountable for teams building Spotify Agentic Experience delivering new and innovative products at the heart of music, podcast and audiobooks users love.
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Together with a wide range of collaborators, develop a generative AI tech strategy that keeps Spotify at the forefront of innovation in the field.
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Provide servant leadership to several teams working across research, machine learning, engineering management, backend engineers, and data specialists.
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Advocate for and increase knowledge of advanced Gen AI capabilities across the company, including influencing the company’s most senior leaders.
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Cultivate a balanced, collaborative engineering culture and a diverse and inclusive team that reflects our customers and our world.
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Directly manage ~5-10 people.
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Collaborate with a product lead to define strategy, success metrics and roadmaps.
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Influence the technical design and architecture of the Conversation team’s stack.
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Influence the Personalization team’s research and roadmap. Collaborate with leaders throughout the company to plan and execute impactful initiatives requiring many teams.
Who You Are
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You have significant expertise in shipping generative AI technologies and their application to high scale consumer products.
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You have demonstrated the ability to lead a modern generative AI team (e.g. transformers, diffusion and other recent technologies) to incorporate generative AI into consumer facing products, continuously making the models better for users while optimizing performance and cost.
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You practice servant leadership, have strong mentorship and coaching skills, and thrive when helping individuals and teams perform to their full potential.
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You love facilitating collaboration among several teams, developing and growing teams and their leaders while driving delivery.
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You are able to distill complex information into easy-to-understand concepts, and understand how to lead a team through ambiguity.
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You thrive when bringing research to market as amazing products for users.
Where You'll Be
- We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location
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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.
