Tripadvisor LLC logo

AI Personalization and Growth Marketing Manager

Job Overview

Location

London, UK

Job Type

Full-time

Category

Data Science

Date Posted

June 22, 2026

Full Job Description

đź“‹ Description

  • • Serve as the AI-driven engine for growth marketing by building automated systems that enable hyper-personalization at scale, surpassing human-capable speeds.
  • • Partner with Data Science, Analytics, and Data Engineering teams to enhance the quality, accessibility, and usability of customer data for growth initiatives, identifying and resolving gaps in the data stack.
  • • Integrate LLMs, Retrieval-Augmented Generation (RAG), and AI agents into the CRM and Loyalty technology stack to automate personalized traveler engagement across global markets.
  • • Design and implement rapid experimentation frameworks that allow regional growth pilots to be launched and iterated on within days, not weeks, enabling agile, data-driven decision-making.
  • • Own the logic and architecture for real-time content assembly, ensuring each user receives dynamically tailored offers based on their behavioral patterns and local context.
  • • Act as the internal AI consultant for the traveler engagement and loyalty team, guiding non-technical stakeholders on how to leverage AI tools to overcome regional growth bottlenecks.
  • • Build automated workflows that bridge global marketing platforms with localized operational needs, ensuring scalability without sacrificing regional relevance.
  • • Maintain deep expertise in Customer Data Platforms (CDPs), particularly Hightouch, and ensure seamless integration between CDPs and AI-driven marketing layers.
  • • Apply advanced analytics techniques including customer segmentation, predictive modeling, uplift modeling, and lifecycle marketing analytics to optimize campaign performance and ROI.
  • • Work hands-on with SQL and BI tools to extract insights, validate model outputs, and deploy predictive models into live marketing environments in collaboration with data engineers.
  • • Champion a culture of execution, experimentation, and continuous improvement aligned with Tripadvisor’s pillars of traveler-first focus, agile execution, and collaborative success.

🎯 Requirements

  • • 5+ years of experience at the intersection of growth marketing, data engineering, and marketing technology (MarTech)
  • • Deep, hands-on experience with Prompt Engineering, RAG (Retrieval-Augmented Generation), and AI agents
  • • Strong proficiency in SQL, BI tools, customer segmentation, predictive modeling, uplift modeling, or lifecycle marketing analytics
  • • Experience with Customer Data Platforms (CDPs) such as Hightouch and integrating them with AI layers
  • • Ability to design agile, automated workflows that connect global tools with local market requirements

🏖️ Benefits

  • • Competitive compensation packages including base salary and annual bonuses
  • • Flexible work schedule with a remote-friendly approach and hybrid requirement of 2 days per week in the London office
  • • Annual lifestyle benefit to spend on travel, wellness, or personal interests
  • • Tuition assistance for qualified career development programs
  • • Donation matching for qualifying charitable contributions
  • • Travel discounts and perks as part of employee development
  • • Health benefits with competitive premiums
  • • Generous employee referral bonus program

Skills & Technologies

Remote
Degree Required

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Tripadvisor LLC logo
Tripadvisor LLC
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About Tripadvisor LLC

Tripadvisor LLC operates a global online travel platform that aggregates user-generated reviews, ratings, and photos for accommodations, restaurants, attractions, and experiences. Founded in 2000, it provides price-comparison tools and booking capabilities for hotels, flights, vacation rentals, and tours. The company monetizes through click-based advertising, subscription services for businesses, and transaction fees. Its brands include Tripadvisor, Viator, and TheFork. The platform serves millions of travelers monthly across 40+ countries and 20+ languages, leveraging a vast database of traveler insights and community-contributed content to guide travel planning and purchasing decisions worldwide.

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