Jobs at Skyscanner

Lead APAC PR programmes and regional B2B/corporate communications. Drive media coverage, executive engagement, localisation, partnerships, and cross-channel campaigns. Coordinate with Data & Insights, SEO, content, agencies and brand teams to maximise product placement and measure campaign impact.

Lead the data platform product to enable experimentation, production ML, AI-assisted analytics, data quality, automation for data engineering, scalable delivery, governance, and measurable business impact across product and data teams.

Lead and evolve Skyscanner's data platform to enable reliable experimentation, production ML, AI-assisted analytics, data quality, automation for data engineering, and scalable data delivery. Define operating models, connect platform investment to business outcomes, and drive cross-functional alignment to increase experimentation velocity, personalization, revenue impact, and platform sustainability.

The Principal Product Manager will lead the loyalty team to enhance customer experiences, manage product strategy, and collaborate across departments to drive user engagement and retention.

The Principal Product Manager will shape the loyalty strategy at Skyscanner, leading cross-functional teams to enhance customer engagement and lifetime value through effective loyalty programs and initiatives.

Lead and evolve Skyscanner's data platform and decision tooling to enable reliable experimentation, production ML, AI-assisted analytics, data quality, automation for data engineering, scalable delivery, and measurable business impact. Define operating models, ownership, governance, and connect platform investments to product and revenue outcomes.

Design and develop a scalable pricing system for car rentals, enhance system architecture, and collaborate in a diverse team environment.

As a Principal Product Manager, you'll lead the loyalty team in defining and executing the loyalty strategy, driving customer engagement and retention through enhanced experiences and collaborations across the organization.

Lead and grow a data engineering squad to build reliable, scalable data platforms and pipelines supporting experiments, real-time experiences and AI/ML use cases. Drive engineering excellence, delivery, observability, CI/CD, and cross-functional collaboration with product, analytics and data science.