VP, Audiences and Activation - Intelligence Ventures

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
SUMMARY
The VP, Product - Audiences & Activation leads the Audiences & Activation product pillar of Spectrum's new behavioral intelligence platform within Intelligence Ventures. This role owns the strategy, roadmap and commercial performance of audience products that brands and agencies buy and activate across programmatic, CTV, clean-room and partner channels. Operating as a hands-on product owner, the role partners closely with Data Science, Sales and the Insights & Measurement and Platform & Verification product leads, and reports to the Group Vice President, Technology.
HOW THE VP, AUDIENCES AND ACTIVATION MAKES AN IMPACT
Own the vision, strategy, multi-year roadmap and business case for the Audiences & Activation pillar.
Launch and scale the initial audience product portfolio, including seeded, syndicated and clean-room audience expansion products and enterprise client agreements.
Define and validate next-generation audience products with beta and design partners, sequenced against platform capabilities.
Manage audience distribution across DSP marketplaces, SSPs, clean rooms, resellers and agency platforms, including required taxonomy and identity standards.
Develop pricing and packaging in partnership with Finance, Sales and platform leadership, ensuring consistency with the platform rate card.
Partner with Privacy and Legal to embed privacy and use-case governance into all product decisions.
Translate brand, agency and partner feedback into prioritized roadmap decisions in partnership with Data Science, Engineering and Sales.
Personally own product requirements, beta conversions and seller enablement.
Recruit, develop and lead a high-performing product team as the pillar scales.
WHAT YOU'LL BRING TO SPECTRUM
REQUIRED QUALIFICATIONS

• Deep expertise in product management for audience, data or adtech products sold to brands and agencies.
• Demonstrated ability to define and launch new product categories.
• Knowledge of programmatic and cross-channel activation, including DSPs, SSPs, CTV, retail media, clean rooms and identity solutions.
• Experience converting model outputs (e.g., embeddings, propensities, scores) into commercial audience products.
• Experience developing pricing, packaging and business cases for data products.
• Experience managing distribution and channel partners for data products.
• Strong understanding of privacy-preserving data practices and consumer data regulations.
• Ability to translate complex AI/ML and data concepts into clear narratives for executive, client and partner audiences.
• Strong leadership skills with the ability to work collaboratively across all levels of the organization.
• Ability to thrive in an ambiguous, fast-paced, early-stage environment.

REQUIRED EDUCATION

• Bachelor's degree in Business, Computer Science, Engineering, Economics, Marketing or related field

REQUIRED EXPERIENCE

• 8+ years Product management experience for audience, data or adtech products
• 4+ years Product ownership experience with commercial accountability

PREFERRED QUALIFICATIONS

• Experience launching marketplace-distributed audience products
• Knowledge of agentic AI applications in media planning and buying

PREFERRED EDUCATION

• Master's degree or MBA preferred

PREFERRED QUALIFICATIONS

• 10+ years Senior product leadership experience at a data, identity or adtech company

WORKING CONDITIONS

• Office environment
• Travel as needed

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A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
The base pay for this position generally is between
$212,900.00 and $425,900.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses.
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