THG

THG

Director, Performance Media

US, New York City · Director

Sponsorship not specified$110k-$130kDetected 11 days ago
A/B TestingCRMPerformance MarketingForecastingResearchLeadershipCollaborationMentoring

About the role

  • Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition.
  • Why be a Director, Performance Media at THG Beauty?
  • Our ground-breaking formulations utilize patented nutrient antioxidants to repair damage from environmental stress and lifestyle habits.

Responsibilities

  • We are seeking a high-potential, commercially driven Director, Performance Media to lead the paid media strategy and execution for Perricone MD in the US.

Requirements

  • Advanced technical expertise across Meta, TikTok, and Google/YouTube platforms
  • Ability to navigate global environments
  • must be comfortable collaborating with international teams (UK central) while maintaining local US execution and ownership.

Skills

  • Contribute to the evolution of attribution modeling, incrementality testing, and audience understanding to refine spend and targeting.
  • 5+ years

Compensation

  • Salary: $110,000 - $130,000

Benefits

  • As a hands-on leader, you will combine strategic vision with executional excellence.
  • You are expected to be both analytical and entrepreneurial, possessing the ability to optimize granular performance while contributing to broader business and brand equity objectives.

Company info

  • We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition.
  • Our portfolio of leading retailers and brands such as LOOKFANTASTIC,
  • Our portfolio of leading retailers and iconic beauty brands caters to everyone, everywhere, empowering customers all over the world to look and feel fantastic.
  • At Perricone MD, we believe healthy living is beautiful living.

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