• Own measurable business outcomes (adoption, revenue, unit economics, retention) and adjust strategy based on performance signals • Act as the single accountable owner for your product area, making decisions based on data, customer insight, and strategy—not stakeholder opinion • Define and evolve product strategy with clear narratives, including customer problem, expected impact, assumptions, and risks • Own or influence product economics, including revenue performance, cost-to-serve, and monetization strategy • Drive end-to-end product lifecycle from discovery through commercialization, ensuring delivery translates into real business impact • Design and run structured experiments (concept tests, pilots, pricing tests) to validate opportunities before scaling • Operate with an AI-first mindset—leveraging AI across discovery, prototyping, and product capabilities • Continuously modernize your product, improving architecture, reducing technical debt, and adopting new technologies • Apply systems thinking to design scalable, end-to-end customer journeys across workflows, data, and platform components • Own go-to-market outcomes end-to-end, including positioning, enablement, adoption, and commercial success • Partner cross-functionally to drive alignment, influence decisions, and operationalize product changes • Drive towards self-serve, scalable product experiences that reduce operational friction • Synthesize customer insight, product data, and market signals to continuously refine priorities • Lead through influence in a complex environment, making clear decisions under ambiguity • Create clarity through strong written artifacts, decision frameworks, and communication • Foster a high-performance, low-ego culture grounded in accountability and collaboration.

• Own measurable business outcomes (adoption, revenue, unit economics, retention) and adjust strategy based on performance signals • Act as the single accountable owner for your product area, making decisions based on data, customer insight, and strategy—not stakeholder opinion • Define and evolve product strategy with clear narratives, including customer problem, expected impact, assumptions, and risks • Own or influence product economics, including revenue performance, cost-to-serve, and monetization strategy • Drive end-to-end product lifecycle from discovery through commercialization, ensuring delivery translates into real business impact • Design and run structured experiments (concept tests, pilots, pricing tests) to validate opportunities before scaling • Operate with an AI-first mindset—leveraging AI across discovery, prototyping, and product capabilities • Continuously modernize your product, improving architecture, reducing technical debt, and adopting new technologies • Apply systems thinking to design scalable, end-to-end customer journeys across workflows, data, and platform components • Own go-to-market outcomes end-to-end, including positioning, enablement, adoption, and commercial success • Partner cross-functionally to drive alignment, influence decisions, and operationalize product changes • Drive towards self-serve, scalable product experiences that reduce operational friction • Synthesize customer insight, product data, and market signals to continuously refine priorities • Lead through influence in a complex environment, making clear decisions under ambiguity • Create clarity through strong written artifacts, decision frameworks, and communication • Foster a high-performance, low-ego culture grounded in accountability and collaboration

• Lead Full-Funnel Media Strategy • In collaboration with their team and leadership, own Pacvue’s AI product strategy across retail media, sponsored ads, DSP products, offsite media, and full-funnel commerce media activation. • Define how Pacvue helps brands and agencies move from channel-by-channel execution to portfolio-level media decisioning across retailers, marketplaces, and media networks. • Set a clear roadmap for the media portfolio, including how retail media and DSP capabilities connect to measurement, automation, AI, reporting, and broader platform workflows. • Own Product Direction and Business Impact • Lead product vision, prioritization, and execution for Pacvue’s Retail Media and new AI-first DSP product areas continuing our innovation-first mindset. • Partner closely with Engineering, AI, Product Growth, Product Operations, Sales, Customer Success, Marketing, and Partnerships to deliver commercially relevant, scalable products. • Drive product decisions across planning, activation, budget management, optimization, pacing, reporting, measurement, and cross-channel performance management. • Tie product investment to measurable outcomes, including adoption, retention, revenue impact, customer satisfaction, workflow efficiency, and media performance. • Partner Across AI and Product Growth • With an AI-first mindset, work with AI teams to embed intelligent recommendations, workflow automation, decision support, and optimization into Pacvue’s media products. • Partner with Product Growth to improve activation, adoption, usage depth, retention, packaging, and expansion motions across the media portfolio. • Ensure new media capabilities are not only built, but adopted, understood, and connected to measurable customer value. • Be the Voice of the Customer • Serve as an executive product sponsor for strategic customers. • Engage deeply with enterprise brands and agencies to understand their media investment priorities, workflow gaps, and measurement needs to create compelling and unique solutions that sets Pacvue apart from the competition. • Translate customer feedback into roadmap priorities, product requirements, and strategic bets that grow our core business and sets the business up for future AI innovation. • Build trust with customers through strong media expertise, product judgment, and a clear point of view on where commerce media is going. • Lead International Product Teams • Lead, coach, inspire and scale international product teams responsible for key areas of Pacvue’s media portfolio. • Create clear ownership, strong execution rhythms, and consistent alignment across regions, time zones, and functions. • Ensure global product strategy is informed by regional customer needs, market dynamics, and retailer ecosystem differences. • Represent Pacvue Externally • Act as a senior market-facing voice for Pacvue on retail media, commerce media, DSP activation, measurement, and AI-driven optimization. • Support customer advisory boards, executive briefings, strategic partnerships, industry events, and thought leadership.

• Define and communicate the product vision, strategy, and multi-year roadmap for a portfolio of products and data-driven capabilities aligned to company priorities and recurring revenue goals. • Lead portfolio-level prioritization and investment decisions, balancing customer value, strategic fit, technical feasibility, and commercial impact. • Partner with Engineering, Design, Data, Finance, Sales, Marketing, and Customer Success leadership to align roadmaps, delivery plans, and go-to-market execution. • Drive customer discovery, market research, and competitive analysis to identify opportunities in workflow improvement, analytics, reporting, and data monetization. • Lead market sizing, segmentation, and opportunity assessment to determine which problems are worth solving, quantify customer value, and evaluate willingness to buy as inputs to product and investment strategy. • Own accountability for key portfolio outcomes such as adoption, retention, expansion, revenue growth, and the performance of monetized product and data offerings. • Establish and refine monetization strategies, including packaging, pricing inputs, usage-based models, premium analytics capabilities, and data-enabled product offerings. • Build, lead, and mentor a team of product managers, providing coaching, clear expectations, and career development support. • Improve product operating rhythms, decision frameworks, discovery practices, and cross-functional ways of working to increase execution quality and decision velocity. • Represent product strategy and performance with executive stakeholders through business cases, portfolio updates, and data-driven recommendations.