AI Personalization and Growth Marketing Manager

• Build the AI-powered systems that allow Tripadvisor to execute personalisation at a speed human teams can't match, integrating LLMs and machine learning models into the CRM and Loyalty stack. • Own the logic for real-time content assembly, ensuring every user sees the most relevant offer based on their local context and behaviour. • Act as the internal AI subject matter expert for the traveller engagement and loyalty team, showing them how to leverage AI to solve regional growth bottlenecks.

• Bring 5+ years of experience working at the intersection of growth marketing, data engineering, and marketing technology. • Have deep, hands-on experience with Prompt Engineering, RAG (Retrieval-Augmented Generation), and AI agents. • Hold strong analytics skills with experience in SQL, BI tools, customer segmentation, predictive modelling, uplift modelling, or lifecycle marketing analytics. • Demonstrate experience with Customer Data Platforms such as Hightouch and connecting them to AI layers. • Build automated workflows that bridge gaps between global tools and local needs. • Be comfortable working alongside data engineers to deploy predictive models into live marketing environments.

• Bring experience integrating LLMs and machine learning models into CRM or loyalty platforms at scale. • Have experience building rapid "Test & Learn" workflows that allow regional pilots to launch in days. • Show experience with real-time dynamic content assembly and personalisation engines. • Demonstrate experience partnering with Data Science, Analytics, and Data Engineering teams to improve customer data quality. • Hold experience identifying and creating pragmatic workarounds for gaps in a data stack. • Have experience in the travel, hospitality, or marketplace sector.

• Partner closely with Data Science, Analytics, and Data Engineering to improve the quality and usability of customer data for growth use cases. • Identify gaps in the current data stack and help create pragmatic workarounds where needed. • Integrate LLMs and machine learning models into the CRM and Loyalty stack to automate hyper-personalisation at scale. • Build "Test & Learn" workflows that allow the team to launch and iterate on regional pilots in days, not weeks. • Own the logic for real-time content assembly, ensuring every user sees the most relevant offer based on their local context and behaviour. • Act as the subject matter expert for the traveller engagement and loyalty team, showing them how to leverage AI to solve regional growth bottlenecks.

• Receive competitive compensation packages including base salary and annual bonuses. • Work hybrid with 2 days per week in the London office and flexibility to suit your lifestyle. • Enjoy a flexible schedule with work-life balance ingrained in the culture by design. • Receive annual tuition assistance for qualified programmes. • Access a lifestyle benefit to spend on travel, wellness, or whatever suits you. • Receive travel perks and discounts. • Access donation matching for qualifying charitable contributions. • Receive health benefits with great coverage and competitive premiums plus a generous referral scheme.

The Tripadvisor Group connects people to experiences worth sharing, aiming to be the world's most trusted source for travel and experiences. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP) include a portfolio of travel brands and businesses including Tripadvisor, Viator, and TheFork. Tripadvisor operates at scale with over 500 million reviews reaching over 390 million unique visitors each month.