Why This Job is Featured on The SaaS Jobs
### Why this Role is Featured on The SaaS Jobs
Data collection is a foundational layer in any product-led SaaS organisation, and this role sits squarely in that “platform enables everything” space. Rather than shipping end-user features, the focus is on developer-facing tooling that improves how telemetry is instrumented, validated, and understood—work that underpins reliable analytics, experimentation, and product decision-making at scale. The fact that it is a new squad within a dedicated Data Platform area also signals greenfield scope within an established platform environment.
For a SaaS career, this kind of platform product management builds durable expertise: defining success metrics where correctness and adoption matter, translating engineering workflows into product roadmaps, and making trade-offs that affect many downstream teams. Experience across schemas, event delivery, and data pipelines is broadly transferable across SaaS companies that rely on usage data to guide growth, retention, and monetisation. The remit also touches on how AI/ML might augment internal tooling, a theme increasingly common in modern SaaS platforms.
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
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
About the Team
You’ll join a new team within the Data Collection Product Area in Spotify’s Data Platform Studio. We’re building a unified layer of developer-focused tools and experiences that sit on top of Gabito and UBI, our foundational event delivery and user-behavior instrumentation products. The team works on products like the Data Application Portal, the Client Instrumentation Browser, Gabito Inspector, and UBI Inspector—helping Spotify engineers instrument, validate, and understand telemetry with confidence.
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What You'll Do- Deliver the initial roadmap for this new squad and shape the long-term direction of our developer tooling investments.
- Build deep expertise in user-behavior instrumentation, event delivery, schemas, and developer workflows.
- Define and track success metrics focused on correctness, productivity, and adoption.
- Run structured product discovery with engineering teams; translate insights into clear product improvements.
- Partner closely with the Engineering Manager and Staff Engineer to define MVPs, sequencing, and technical tradeoffs.
- Communicate clearly across product, engineering, and leadership stakeholders to drive alignment and momentum.
- Explore opportunities to apply AI/ML to developer tooling or product discovery.
Who You Are:- You know how to navigate ambiguous, fast-paced technical environments and turn that ambiguity into clarity.
- You are experienced with developer-focused products and have the technical depth to reason about code, instrumentation, and telemetry.
- You have a deep understanding of events, schemas, data pipelines, or telemetry systems.
- You know how to run structured discovery with internal users, especially engineers.
- You care about strong partnerships and work well with engineering management and tech leads.
- You have a track record of thoughtful prioritization, roadmapping, and stakeholder alignment.
- You use data to inform decisions and are comfortable establishing product metrics from scratch.
- You have curiosity about how developers work and enthusiasm for improving DevEx at scale.
- You have interest or experience applying AI to developer tooling or product processes.
Where You'll Be- This role can be based in Stockholm or London.
- We offer you the flexibility to work where you work best! You should expect some level of requisite amount of in-person engagements with a hybrid working approach.
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