Global TV Engagement & Optimisation Lead

Lex; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Apple TV is seeking a sharp, data-driven Engagement Optimisation Manager to join the International TV team. You will be the subject-matter expert on how customers across markets engage with the Apple TV App and titles, translating complex platform data into clear insights that drive measurable performance improvements.

Working with local platform teams, you will uncover opportunities, build business cases for product improvements, and champion data-backed optimizations that elevate discovery,

Qualifications

• 7+ years in streaming media or digital subscriptions.
• Advanced SQL skills and dashboarding capability.
• Deep understanding of content discovery, recommendations, and engagement.
• Experience with A/B and multivariate testing design.
• Proven ability to influence cross-functional teams without formal authority.
• Excellent communication; able to present to executives clearly.
• Familiarity with KPI development and optimization strategies.

Responsibilities

• Lead analysis of how customers discover and engage with Apple TV titles across markets.
• Translate data into actionable insights to improve engagement and retention.
• Partner with local platform teams to implement best practices.
• Build data-backed business cases for product improvements.
• Monitor KPI benchmarks and share learnings with international stakeholders.

Skills

Engagement analytics

SQL

Tableau

Looker

Content discovery

A/B testing

Python

Data storytelling

Tools

Tableau

Looker

Excel

Numbers

Python

Job description

Apple TV is seeking a sharp, data-driven Engagement Optimisation Manager to join the International TV team. You will be the subject-matter expert on how customers across markets engage with the Apple TV App and titles, translating complex platform data into clear insights that drive measurable performance improvements.

Working with local platform teams, you will uncover opportunities, build business cases for product improvements, and champion data-backed optimizations that elevate discovery,