Principal Product Manager.

• 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.
• 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.

• 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.
• Bachelor's degree in a relevant field; Master's degree is a plus.

Target cash compensation range: $148,550 - $191,630 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

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