AI-Driven Meta Performance Lead in London

AI-Driven Meta Performance Lead in London

London Full-Time 49500 - 60500 Β£ / year (est.) On-site
Performix Media

At a Glance

  • Tasks: Lead AI-driven Meta ad campaigns and optimise for performance.
  • Company: Join Performix Media, a leader in innovative marketing solutions.
  • Benefits: Competitive salary, flexible hours, and opportunities for growth.
  • Other info: Fast-paced environment with a focus on creativity and innovation.
  • Why this job: Be at the forefront of AI marketing and make a real impact.
  • Qualifications: Experience with Meta Ads and a passion for data-driven strategies.

The predicted salary is between 49500 - 60500 Β£ per year.

Performix Media seeks an exceptional Performance Marketing Lead for Meta/Facebook Ads to own end-to-end campaigns with AI-driven optimization.

You will manage high-volume spend, implement AI-native workflows, and produce rapid video creatives while maintaining tight CPA targets and strong ROAS.

You will leverage MCP servers, Meta Ads API, and automation scripts, while editing banners and videos for fast iteration.

A deep knowledge of Meta's ecosystem and data-driven decision making is essential.

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AI-Driven Meta Performance Lead in London employer: Performix Media

Performix Media is an outstanding employer that fosters a dynamic and innovative work culture, perfect for those passionate about performance marketing and AI technologies. Located in a vibrant area, we offer competitive benefits, opportunities for professional growth, and a collaborative environment where creativity thrives. Join us to be part of a forward-thinking team that values data-driven decision-making and empowers you to make a significant impact in the digital marketing landscape.

Performix Media

Contact Details:

Performix Media Recruitment Team

We think you need these skills to ace AI-Driven Meta Performance Lead in London

Performance Marketing
Meta/Facebook Ads
AI-driven Optimization
Campaign Management
High-Volume Spend Management
CPA Target Management
ROAS Analysis