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- Own and execute a significant portion of the Display and Paid Ads product roadmap.
- Identify market opportunities, customer needs, and platform changes that should inform roadmap investments across the programmatic landscape.
- Define product strategy for programmatic bidding, O&O display inventory monetization, automation, measurement, and advertiser-facing capabilities.
- Evaluate emerging trends in programmatic display, AI, and digital advertising to identify opportunities for product innovation and inventory packaging.
- Lead initiatives from discovery through launch and ongoing optimization.
- Translate business challenges and customer needs into clear product requirements, user flows, success metrics, and rollout plans.
- Partner directly with Engineering and Data Science to deliver scalable product solutions.
- Balance customer value, business impact, and technical complexity when making prioritization decisions.
- Own key business metrics including revenue growth, advertiser retention, campaign performance, inventory utilization, platform adoption, and profitability across assigned products.
- Drive innovation across programmatic bidding strategies, yield optimization, automation, and display asset recommendations.
- Translate emerging AdTech, SSP/DSP capabilities, and industry innovations into differentiated product experiences.
- Define measurement frameworks and success metrics to evaluate product effectiveness and campaign viewability.
- Use data and experimentation to inform product investments and improve advertiser performance.
- Partner with Customer Success, Sales, Marketing, and Operations to ensure successful activation and adoption of new display capabilities.
- Build alignment across stakeholders and influence decisions without direct authority.
- Present product strategy, recommendations, tradeoffs, and outcomes to leadership teams.
- 5+ years of product management experience delivering customer-facing, platform, SaaS, or technology products.
- 3+ years of experience in digital advertising with a specific focus on Display and Programmatic advertising. Experience with programmatic exchanges, SSPs/DSPs, campaign optimization, and automation is strongly preferred.
- Deep understanding of the programmatic landscape, including bidding strategies, yield optimization, viewability, attribution, conversion tracking, and AI-driven campaign management.
- Experience partnering directly with engineering teams to deliver products from concept through launch.
- Demonstrated ability to translate ambiguous business problems into clear product strategies and execution plans.
- Strong analytical and data-driven decision-making skills.
- Experience leading cross-functional initiatives across Product, Engineering, Data Science, and Go-to-Market teams.
- Excellent written, verbal, and stakeholder communication skills.
- Experience with ad serving platforms (e.g., Google Ad Manager, Equativ, Xandr) and inventory packaging strategies.
- Experience optimizing Owned & Operated (O&O) inventory and working with creative display formats.
- Experience building AI-powered, automation, optimization, recommendation, or workflow-based products.
- Experience working with Data Science teams, experimentation frameworks, or machine learning concepts.
- Familiarity with SQL, analytics platforms, or data-driven product development.
- Experience serving SMB advertisers at scale.
- Experience working in agency technology, advertising technology, marketing technology, or Google Partner environments.
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#LI-REMOTE
The annualized base salary for this role will range between $125,000 and $135,000. Base compensation is reflective of many factors, including, but not limited to, the market in which one lives/works, individual education level, skills, certifications and experience. Note: variable compensation is not reflected in these figures and based on the role, may be applicable.
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