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.
What You'll Do
Be accountable for teams building Spotify Agentic Experience delivering new and innovative products at the heart of music, podcast and audiobooks users love.
Together with a wide range of collaborators, develop a generative AI tech strategy that keeps Spotify at the forefront of innovation in the field.
Provide servant leadership to several teams working across research, machine learning, engineering management, backend engineers, and data specialists.
Advocate for and increase knowledge of advanced Gen AI capabilities across the company, including influencing the company’s most senior leaders.
Cultivate a balanced, collaborative engineering culture and a diverse and inclusive team that reflects our customers and our world.
Directly manage ~5-10 people.
Collaborate with a product lead to define strategy, success metrics and roadmaps.
Influence the technical design and architecture of the Conversation team’s stack.
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
You have significant expertise in shipping generative AI technologies and their application to high scale consumer products.
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.
You practice servant leadership, have strong mentorship and coaching skills, and thrive when helping individuals and teams perform to their full potential.
You love facilitating collaboration among several teams, developing and growing teams and their leaders while driving delivery.
You are able to distill complex information into easy-to-understand concepts, and understand how to lead a team through ambiguity.
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 US region as long as we have a work location
- This team operates within the US Eastern timezone for collaboration
Skills Required
- Significant expertise shipping generative AI technologies for high-scale consumer products.
- Demonstrated ability to lead generative AI teams and incorporate transformers, diffusion, and modern generative techniques into production products.
- Experience with LLM orchestration, agent frameworks, and designing agentic systems architecture.
- Experience across production systems engineering, ML infrastructure, evaluation science, and applied research.
- Proven servant leadership with strong mentorship and coaching skills; ability to grow teams and leaders.
- Direct management experience of approximately 5-10 people.
- Ability to collaborate cross-functionally with product, research, engineering, and senior leaders to define strategy and roadmaps.
- Ability to distill complex information, lead through ambiguity, and bring research to market as consumer products.
Spotify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Spotify and has not been reviewed or approved by Spotify.
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Flexible Benefits — Employees consistently praise the total compensation package beyond base salary, highlighting a mix of RSUs, cash incentives, and stipends alongside core pay. The package is described as flexible and customizable through equity choices (e.g., RSUs, options, cash) that can be tailored for long-term wealth building.
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Leave & Time Off Breadth — Time-off offerings are repeatedly highlighted as substantial, including generous vacation, paid sick days, volunteer time, and flexible holidays. These policies are framed as a meaningful part of the overall rewards experience beyond salary.
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Healthcare Strength — Health coverage is portrayed as comprehensive, spanning medical, dental, vision, life insurance, disability coverage, and mental health support. Additional employer contributions to HSAs are cited as strengthening the overall health and wellness value proposition.
Spotify Insights
What We Do
Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 50m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.
