Senior Product Manager, Data Platform

Senior Product Manager, Data Platform at Spotify

We are looking for a passionate and experienced Senior Product Manager, Data Platform to join Spotify’s Data Platform Studio. The Data Platform’s mission is: “Data is a means to an end, and Spotify extracts value from data through application.” The Data Platform Studio impacts Spotify's success by enabling the application of data in an intuitive and efficient manner that aligns with standard methodologies.

This position involves leading the Product function for two teams that are shaping the developer experience for data engineers and anyone working with data at the company. Due to the swift progress of AI and agents, this emerges as an incredibly captivating field.

As the Senior Product Manager, Data Platform, you’ll drive the strategy and roadmap to improve the experience developers in the data community in this new AI and Agentic world. This may involve building, buying, and integrating tools, as well as guiding users to use the best tool for their job. This is a high-impact role focused on enabling speed and quality for one of Spotify’s most exciting technical domains. With rapid advances in AI and other technologies redefining this space, you’ll help shape Spotify’s vision for how next-generation tools are integrated and how our practices adapt.

What You'll Do

• Diagnose and understand the needs of the data developer community, identifying and prioritising the most impactful opportunities and problems to solve.
• Evaluate and deliver solutions - whether through building, buying, or integrating third-party tools - that improve the data developer experience.
• Craft and own the vision, strategy, roadmap and execution for data developer experience teams in the Data Platform studio.
• Track adoption and define critical metrics that reflect your strategy and cultivate a loop of incremental impact and learning.
• Influence and inspire. Sell that vision to your teams, the rest of the studio and our partners.
• Build strong, ongoing relationships with internal product and data teams to deeply understand their needs, champion feedback loops, and co-evolve tooling and solutions.
• Collaborate and align with other platform teams to shape the broader developer experience and AI tooling across all R&D domains.
• Partner closely with product, engineering, design, and data science teams to build and deliver solutions that our users love.
• Find opportunities to modernize and automate through emerging AI capabilities and tools.
• Stay updated on trends and standard methodologies in the developer experience and more specifically the data engineering space. Serve as a champion for data tooling within Spotify.

Who You Are

• You have 5+ years of product management experience. Bonus points if you have experience working in the Data Platform or Developer Experience domains.
• You have a technical background - a degree in Computer Science/Engineering or 2+ years engineering experience in industry.
• You’re an excellent story-teller and collaborator, able to inspire, influence and align partners across multiple subject areas and levels of technical expertise.
• You’re proficient in modern product development practices, and have a deep empathy for individuals and teams who work with data.
• You bring a strong systems-thinking approach and can connect dots across platforms, workflows, and business needs.
• You’re excited about how AI will simplify and supercharge products, and you have a track record of evaluating or applying new technologies.
• You lead with humility - supporting, mentoring, and amplifying your team’s success while driving momentum and clarity.

Where You'll Be

This role is based in Toronto. 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.

Key skills/competency

• Product Management
• Data Platform
• Developer Experience
• AI Integration
• Roadmap Strategy
• Stakeholder Management
• Data Engineering
• Systems Thinking
• Cross-functional Collaboration
• Technical Background