Senior Product Manager - Advertising

We are looking for a passionate and experienced Senior Technical Product Manager to help build and scale our advertising platform at Spotify. In this role, you’ll own the Ads Data Store, the foundational data layer that powers booking data across our advertising business. This platform serves as the authoritative source of truth for Ads booking data, enabling forecasting, campaign management, billing inputs, operational workflows, and downstream reporting systems.

This role is responsible for the integrity, accessibility, and evolution of booking data across systems — ensuring consistency, scalability, and trust in the data that powers our Ads business.

As the owner of the Ads Data Store, you will work at the intersection of Ads Product, Engineering, Insights, and Finance to ensure our booking data foundation scales with the growth and increasing complexity of Spotify Advertising.

What You'll Do:
• Define and own the strategy and roadmap for the Ads Data Store, establishing a scalable, authoritative system of record that underpins critical commercial workflows
• Lead the architectural evolution of the Ads Data Store, partnering with Engineering to design scalable, reliable, and cost-efficient data foundations
• Design and govern canonical data models, establishing durable schemas that support evolving pricing, packaging, and deal constructs
• Establish system boundaries and data contracts between booking systems, serving systems, and downstream consumers (forecasting, billing, pacing, reporting, etc)
• Define standards for data quality, lineage, reconciliation, and monitoring, ensuring booking data integrity across operational and financial workflows
• Shape scalable access patterns for internal consumers (e.g., governed datasets, APIs, downstream feeds), improving usability and developer experience
• Prioritize platform investments that balance technical sustainability with measurable business impact
• Act as the single-threaded owner for booking data integrity, driving clarity, accountability, and long-term scalability across the Ads ecosystem

Who You Are:
• You have 5+ years of experience leading technically complex advertising or data platform products, with a demonstrated track record of delivering scalable, high-impact solutions
• You have a strong understanding of modern data architectures and distributed data systems, and can reason about tradeoffs in scalable data platform design
• You have experience defining canonical data models and managing schema evolution across integrated systems
• You think in systems, not features — you design durable foundations that scale with product complexity and organizational growth
• You balance technical rigor with business impact, prioritizing investments that improve data integrity, usability, and long-term sustainability
• You are comfortable operating in ambiguous environments and leading cross-functional platform initiatives
• You communicate complex technical concepts clearly to both technical and non-technical audiences
• You leverage AI tools to augment product discovery, technical reasoning, and communication, demonstrating discernment in when to rely on automation and when to apply deeper domain expertise
• Bonus points if you have experience supporting commercial or sales systems (e.g., CRM, order management, billing, revenue workflows)

Where You'll Be:
• We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location.
• This role will operate primarily within the Pacific timezone.

The United States base range for this position is $147,595.00 - $210,850.00lus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.