Nexstar
Sales Marketing Executive
PA-Philadelphia;5001 Wynnefield Avenue (Tribune-WPHL) · Full-time
Sponsorship not specifiedDetected 13 days ago
Google AnalyticsPipeline ManagementForecastingExcelResearchLeadershipCommunicationCollaborationPublic SpeakingOrganizational SkillsMicrosoft Office
About the role
- WPHL-TV, part of Nexstar Media Group—the largest local media company in the country—is seeking a full-time Sales Marketing Executive. This role supports revenue growth across WPHL and its digital portfolio, including platforms such as Amazon, Weather.com and many other advanced digital solutions.
- The Sales Marketing Executive partners with sales leadership to develop strategic, cross-platform marketing solutions that drive revenue, deepen client relationships, and deliver measurable results.
Responsibilities
- Develop strategic account plans aligned with client goals to drive long-term growth
- Support revenue forecasting, pipeline management, and achievement of sales targets
- Create compelling sponsorships, proposals, and integrated marketing campaigns
- Collaborate with Sales teams on client presentations and attend key sales meetings
- Assist in developing pricing strategies and customized commercial pitches
- Partner with Sales, Creative, News, Product, Analytics, and Operations teams to deliver cohesive, high-impact campaigns
- Lead development and execution of cross-platform opportunities across broadcast and digital channels
- Perform other responsibilities as assigned
Requirements
- Excellent communication and presentation skills with the ability to engage stakeholders at all levels
- High attention to detail and ability to execute independently
Skills
- Proficiency in PowerPoint (required); working knowledge of Excel and Google Docs
- Experience with tools such as WideOrbit, Nielsen, Comscore, Kantar, AdViews, and Google Analytics is a plus
Apply directly at Nexstar →Create a free account for alerts like thisView Nexstar immigration profile
This listing is sourced directly from Nexstar's careers page and normalized into a canonical job model.