Principal Product Manager

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Qualifications And Education Requirements

• 7+ years of product management experience, with demonstrated ownership of technical, data, or platform products.
• Direct experience evaluating or designing architecture for data clean rooms, identity resolution, or comparably complex, privacy-sensitive, multi-party data integrations.
• Strong technical fluency in APIs and data pipelines, with a track record of resolving complex, cross-product technical issues in close partnership with Engineering.
• Experience authoring product strategy and roadmaps, and securing executive (VP-level) buy-in for resourcing during planning cycles.
• Familiarity with AI/ML-driven approaches to identity resolution or data matching, and experience adopting AI tools to improve product development efficiency.
• Excellent communication skills, with experience translating technical concepts for both internal stakeholders and external platform partners.
• Experience mentoring other product managers in technical product management practices.

Additional Notes

• This role is ideal for engineers who love full-stack work but feel especially energized by front-end engineering, user experience, and building UI systems that scale across teams.
• Senior SDEs in this domain are expected to lead by example, elevate engineering quality, and drive innovation across both the front-end and back-end.