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About TEGNA TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100…
Own the mobile newsroom platform for journalists, shaping how stories are planned, assigned, and published across iOS and Android with AI-powered tools.
Designs and maintains hybrid cloud infrastructure across Nutanix/VMware, AWS, and Azure, automating deployments and ensuring security and cost efficiency for enterprise applications.
The Product Manager for Growth & Data will lead cross-functional teams to define and execute the product roadmap, utilizing data insights and A/B testing to optimize user experiences and business outcomes. The role involves managing the product backlog, collaborating with stakeholders, and leveraging tools like Jira, Amplitude, and Figma to drive growth.
The Product Manager will lead the attribution and measurement strategy for TEGNA's ad tech platform, focusing on causal rigor and incrementality. They will define measurement roadmaps, manage MRC accreditation, and collaborate with engineering and data science teams to build robust reporting models.
The Product Manager will lead the strategy and development of TEGNA's household graph and audience products within their ad tech platform. This role involves managing data partnerships, defining audience segments, and collaborating with engineering to build identity resolution and targeting solutions.
The Product Manager will oversee the bidding and forecasting systems within TEGNA's ad tech platform, ensuring alignment between quoted campaign numbers and actual delivery. The role involves defining roadmaps, managing bid logic and AI-driven models, and collaborating with engineering and sales teams to optimize auction performance.
The Product Manager will lead the reporting and insights experience for TEGNA's ad tech platform, defining roadmaps and designing dashboards to help advertisers interpret campaign performance. The role involves managing metric definitions, collaborating with engineering on data quality, and integrating AI models to surface actionable insights.
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