redrover

redrover

Director of Digital

Memphis, Tennessee, United States · Director

Sponsorship not specifiedDetected 21 days ago
A/B TestingSEOSEMGoogle AdsHubSpotGoogle AnalyticsCRMBudgetingLogisticsResearchLeadershipCommunicationCollaborationMentoring

About the role

  • Director of Digital (Paid Media + SEO + Digital Optimization) RedRover is seeking a results-obsessed digital leader to guide our pack toward peak performance in digital strategy, optimization, and reporting.
  • You're driven to rigorously test, continuously improve outcomes, and uncover insights that fuel innovation.
  • You thrive at the intersection of strategy, technology, AI, and performance-and you're known for balancing big-picture vision with hands-on execution.

Responsibilities

  • The Director of Digital will own our agency's iterative testing and digital optimization process and lead the strategy and development of dashboards and performance reporting.
  • You will also manage and mentor a multidisciplinary team of digital specialists (PPC, SEO, FED, UX/UI) toward the achievement of RedRover's signature guaranteed metrics.

Requirements

  • Build and scale the systems, talent, and processes required to support continuous innovation-while remaining hands-on where it matters most.
  • Required Knowledge, Skills & Abilities
  • Deep expertise leading digital strategy across paid social, PPC, SEO, UX/UI, digital campaign management, and optimization
  • Experience with B2B categories such as manufacturing, professional services, technology, logistics, or industrial markets.

Compensation

  • Benefits include: competitive compensation, healthcare/dental/vision, generous PTO that grows with tenure, vacation expense reimbursement, pet insurance, daycare reimbursement, fitness benefits, paid parental leave, retirement contributions

Benefits

  • RedRover Sales & Marketing Strategy is an internationally award-winning, fast-growing B2B agency on a national expansion path.

This listing is sourced directly from redrover's careers page and normalized into a canonical job model.