StackAdapt

StackAdapt

Programmatic Account Manager, Chicago

United States

Sponsorship not specifiedDetected 6 days ago
Meta AdsPerformance MarketingOnboardingCustomer SupportSignal ProcessingLeadershipPublic Speaking

About the role

  • StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision.
  • The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
  • StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe.

Responsibilities

  • Design unique campaign strategies within the StackAdapt platform
  • Optimize campaigns and recommend new opportunities by analyzing campaign performance on a regular basis

Requirements

  • 3+ years of experience in Real Time Bidding/programmatic expertise (DSP, Ad Network)
  • Experience running Google Ad Words, Facebook Ads or executed through a DSP as a self-serve user
  • Proven success in managing client relationships and delivering service excellence
  • The ability to grasp and communicate technical concepts and platform-based knowledge
  • Familiarity with the latest digital advertising trends and ideas

Compensation

  • Highly competitive salary

Benefits

  • Retirement/ 401K/ Pension Savings globally
  • Competitive Paid time off packages including birthday's off!
  • Access to a comprehensive mental health care program
  • Health benefits from day one of employment
  • Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
  • Coverage and support of personal development initiatives (conferences, courses, books etc)
  • Access to StackAdapt programmatic courses and certifications to support continuous learning
  • An awesome parental leave program
  • In-person and virtual meetings, presentations, Quarterly Business Reviews and training/education

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