Product Manager, Paid Ads

Job not on LinkedIn

🔥 10 minutes ago

🇺🇸 United States – Remote

💵 $125k - $135k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📈 Performance Marketing

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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USA TODAY Network

WebsiteLinkedInAll Job Openings

201 - 500 employees

📱 Media

📣 Marketing

🤝 B2B

Media • Marketing • B2B

USA TODAY Network is the national media and advertising arm of USA TODAY Co. , operating a large portfolio of local and national publications and offering a full suite of advertising and marketing solutions. It provides digital and print display advertising, direct mail, branded content, performance marketing, video, SEO, merchandising, and self-serve marketplace services, backed by data-driven technology, creative services, events and an AI-powered platform. The Network emphasizes local advertising reach supported by national scale and serves businesses across automotive, travel, finance, education, home improvement and other verticals.

📋 Description

• Own and execute a significant portion of the Paid Ads product roadmap • Identify market opportunities, customer needs, and platform changes that should inform roadmap investments • Define product strategy for optimization, automation, bidding, measurement, and advertiser-facing capabilities • Evaluate emerging trends in paid ads, AI, and digital advertising to identify opportunities for product innovation • 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 product outcomes and post-launch performance measurement • Drive innovation across AI-powered optimization, bidding, automation, and recommendation capabilities • Translate emerging AdTech, platform, AI, and industry innovations into differentiated product experiences • Define measurement frameworks and success metrics to evaluate product effectiveness • 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 capabilities • Build alignment across stakeholders and influence decisions without direct authority • Present product strategy, recommendations, tradeoffs, and outcomes to leadership teams

🎯 Requirements

• 5+ years of product management experience delivering customer-facing, platform, SaaS, or technology products • 3+ years of experience in digital advertising, AdTech, MarTech, performance marketing, or a related domain • Deep understanding of digital advertising, AdTech platforms, and performance marketing, including optimization, automation, bidding strategies, measurement, 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 • Familiarity with SQL, analytics platforms, or data-driven product development is preferred • Experience building AI-powered, automation, optimization, recommendation, or workflow-based products is preferred • Experience working with Data Science teams, experimentation frameworks, or machine learning concepts is preferred • Experience serving SMB advertisers at scale is preferred • Experience working in agency technology, advertising technology, marketing technology, or Google Partner environments is preferred