Senior Product Manager - Data Platform
Spotify
Senior Product Manager - Data Platform
Job Description
We are looking for a passionate and experienced Product Manager to join Spotify’s Data Platform Studio. Data Platform’s mission:“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 product manager, 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.
Locations
- Toronto, Canada
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
170,000 - 260,000 CAD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- product managementintermediate
- technical backgroundintermediate
- Computer Science/Engineeringintermediate
- engineering experienceintermediate
- story-tellerintermediate
- collaboratorintermediate
- modern product development practicesintermediate
- empathy for data workersintermediate
- systems-thinkingintermediate
- AI capabilitiesintermediate
- evaluating new technologiesintermediate
Required Qualifications
- You have 5+ years of product management experience. (experience)
- You have a technical background - a degree in Computer Science/Engineering or 2+ years engineering experience in industry. (experience)
- You’re an excellent story-teller and collaborator, able to inspire, influence and align partners across mutiple subject areas and levels of technical expertise. (experience)
- You’re proficient in modern product development practices, and have a deep empathy for individuals and teams who work with data. (experience)
- You bring a strong systems-thinking approach and can connect dots across platforms, workflows, and business needs. (experience)
- You’re excited about how AI will simplify and supercharge products, and you have a track record of evaluating or applying new technologies. (experience)
- You lead with humility - supporting, mentoring, and amplifying your team’s success while driving momentum and clarity. (experience)
Preferred Qualifications
- Bonus points if you have experience working in the Data Platform or Developer Experience domains. (experience)
Responsibilities
- 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 encourage. 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.
Benefits
- general: 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.
Tags & Categories
Senior Product Manager - Data Platform
Spotify
Senior Product Manager - Data Platform
Job Description
We are looking for a passionate and experienced Product Manager to join Spotify’s Data Platform Studio. Data Platform’s mission:“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 product manager, 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.
Locations
- Toronto, Canada
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
170,000 - 260,000 CAD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- product managementintermediate
- technical backgroundintermediate
- Computer Science/Engineeringintermediate
- engineering experienceintermediate
- story-tellerintermediate
- collaboratorintermediate
- modern product development practicesintermediate
- empathy for data workersintermediate
- systems-thinkingintermediate
- AI capabilitiesintermediate
- evaluating new technologiesintermediate
Required Qualifications
- You have 5+ years of product management experience. (experience)
- You have a technical background - a degree in Computer Science/Engineering or 2+ years engineering experience in industry. (experience)
- You’re an excellent story-teller and collaborator, able to inspire, influence and align partners across mutiple subject areas and levels of technical expertise. (experience)
- You’re proficient in modern product development practices, and have a deep empathy for individuals and teams who work with data. (experience)
- You bring a strong systems-thinking approach and can connect dots across platforms, workflows, and business needs. (experience)
- You’re excited about how AI will simplify and supercharge products, and you have a track record of evaluating or applying new technologies. (experience)
- You lead with humility - supporting, mentoring, and amplifying your team’s success while driving momentum and clarity. (experience)
Preferred Qualifications
- Bonus points if you have experience working in the Data Platform or Developer Experience domains. (experience)
Responsibilities
- 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 encourage. 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.
Benefits
- general: 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.
Tags & Categories