Overview
In this leadership role you steer the Connected Trip Experience, Foundations and Data within Booking.com’s Marketplace, guiding a large, multi-team engineering function. You partner with Product and Data to deliver scalable, AI-enhanced customer experiences at high traffic, while shaping engineering practice and strategy. You will foster a high-trust, inclusive culture and drive rapid delivery aligned with business goals. Your work shapes how travellers experience connected trips across platforms and services.
Responsibilities
- Lead technology organisations for Connected Trip Product Experience, Foundations and Data
- Partner with Product & Data to plan and deliver objectives
- Embed Gen AI into customer experiences, workflows and data platforms
- Raise organisation maturity for speed, focus and resilience
- Engage and align stakeholders across technology and non‑tech domains
- Lead by example, manage Directors/Senior Managers and top technical talent
- Communicate strategy effectively and foster an inclusive, high-performing culture
- Shape technology strategy, architecture, and roadmaps across the function
- Drive Agile and DevOps practices; own delivery and architectural governance
- Own and evolve architecture across the function
- Mentor and develop senior tech leaders and build a world-class team
Key requirements
- Extensive tech leadership experience at scale
- Experience with large-scale platforms and high traffic (100,000+ visitors/day)
- Proven track record leading cross-functional engineering organizations (150–200+ people)
- Strong background building high-quality web and mobile apps for consumer use
- Experience in Agile environments and fostering an Agile culture
- Ability to align engineering and business strategy over medium/long term
- Experience coaching senior tech leaders and growing teams
- Independent, pragmatic, proactive work attitude
- Excellent communication and commercial acumen
- Willingness to deputise for VP of Engineering
- Cloud-based technologies
- Building a DevOps culture
- strong communication
- collaboration
- leadership by example
- AI adoption and Gen AI integration
- data & AI products & services
- architecture and engineering best practices
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