Principal Product Manager

About this role

Immigration / Work Authorization Notice: Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.

iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.

What You’ll Be Part Of:

iSpot is the market leader in real-time TV ad measurement, providing the most comprehensive and actionable data to the advertising industry's top brands, agencies, and media companies. As the walled gardens tighten and privacy-safe data access becomes the price of entry for major platform partnerships, our ability to execute best-in-class data clean room integrations is one of the most important capabilities we can build.

This is an important, highly technical product role at iSpot. You will provide product leadership for major platform integrations requiring data clean room architectures — including partnerships with platforms like YouTube and TikTok — evaluating and drafting the architecture for complex, multi-party clean rooms and identity resolution approaches that connect Audience and Outcomes data.

You will work closely with Engineering, Data Science, Legal, and BD to translate ambitious partnership goals into technical designs that actually ship, resolving systemic API and data-ingest issues that span multiple product lines and major customers. You'll author the strategic vision and roadmap for this area of the portfolio and drive its commercialization as part of a product line representing significant ARR.

This is a Product Management leadership role for someone who wants to shape how iSpot's products architecture evolves to meet the next generation of privacy-safe measurement, while mentoring other PMs in the technical craft of the discipline.

Responsibilities:

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Clean Room Architecture: Evaluate and draft the technical architecture for complex, multi-party data clean room integrations (e.g., YouTube, TikTok) and related identity resolution approaches connecting Audience and Outcomes data.

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Technical Problem-Solving: Resolve systemic data-ingest issues that impact multiple product lines or major customers, bridging technical and non-technical perspectives to keep solutions aligned with business objectives.

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Engineering Collaboration: Collaborate closely with Engineering teams to guide product development for clean room integrations, setting technical direction and standards for how iSpot builds and maintains these partnerships.

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Roadmap Authorship & Commercialization: Author the strategic vision and roadmap for the platform integrations product area, driving commercialization of a product line representing significant ARR growth.

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AI Partnership: Partner with Data Science to influence architecture standards that reduce latency and increase model quality for identity resolution and clean room data processing, adopting AI product development standards and tools to increase team efficiency.

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Cross-Functional Orchestration: Orchestrate efforts across Product, Engineering, Data Science, Legal, BD and Commercial to implement sophisticated clean room solutions that scale adoption, ensuring cohesive execution aligned with broader business goals.

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Stakeholder Communication: Serve as a chief spokesperson for clean room product initiatives, expertly communicating complex ad tech and data-privacy concepts to senior leadership and external platform partners.

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Mentorship: Mentor Product Managers in the technical aspects of clean room and identity-resolution product work, cultivating a culture of technical expertise and innovation within the product team.

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Industry Standards & Innovation: Set new standards for transparency, performance, and user experience in privacy-safe data integrations, staying ahead of AI-driven shifts in audience and outcomes measurement.

Qualifications and Education Requirements:

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7+ years of product management experience, with demonstrated ownership of technical, data, or platform products.

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Direct experience evaluating or designing architecture for data clean rooms, identity resolution, or comparably complex, privacy-sensitive, multi-party data…