At a Glance
- Tasks: Build AI systems to automate and personalise travel experiences at scale.
- Company: Join Tripadvisor, a leader in travel experiences and innovation.
- Benefits: Flexible work options, competitive pay, travel perks, and wellness support.
- Other info: Dynamic hybrid work environment with opportunities for personal and professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact in travel.
- Qualifications: Passion for AI, strong analytics skills, and experience with customer data platforms.
The predicted salary is between 60000 - 80000 £ per year.
London, UK
About Tripadvisor
The Tripadvisor Group connects people to experiences worth sharing, aiming to be the world’s most trusted source for travel and experiences. The group includes brands such as Tripadvisor, Viator and TheFork.
You are the engine room. While the CRM and Loyalty managers identify opportunities, you build AI‑powered systems that allow us to execute at a speed human teams can’t match. You are an AI evangelist who lives to automate the complex.
Job Location: Hybrid – requires 2 days per week in our London office.
Key Responsibilities
- Data Foundation & Measurement: Partner closely with Data Science, Analytics and Data Engineering to improve the quality and usability of customer data for growth use cases, identify gaps and create pragmatic workarounds.
- AI Enablement: Integrate LLMs and machine learning models into the CRM/Loyalty stack to automate hyper‑personalization at scale.
- Rapid Experimentation Framework: Build "Test & Learn" workflows that allow the team to launch and iterate on regional pilots in days, not weeks.
- Dynamic Personalization: Own the logic for real‑time content assembly, ensuring every user sees the most relevant offer based on their local context and behavior.
- Internal AI Consulting: Act as the subject matter expert for the traveler engagement and loyalty team, showing them how to leverage AI to solve regional growth bottlenecks.
Required Skills
- Extreme AI Passion: Deep, hands‑on experience with Prompt Engineering, RAG (Retrieval‑Augmented Generation) and AI agents.
- Strong Analytics Skill: Experience with SQL, BI tools, customer segmentation, predictive modelling, uplift modelling or lifecycle marketing analytics.
- Technical Stack Mastery: Experience with Customer Data Platforms (CDPs) such as Hightouch and connecting them to AI layers.
- Agile Systems Design: Ability to build automated workflows that bridge gaps between global tools and local needs.
What We Offer
- Competitive compensation packages (base salary and annual bonuses).
- Work‑your‑way flexibility to suit your lifestyle, with remote‑friendly collaboration and onsite options as needed.
- Flexible schedule and a culture that supports work‑life balance.
- Donation matching for qualifying charitable donations.
- Tuition assistance for qualified programs.
- Annual lifestyle benefit to spend on travel, wellness, or other personal interests.
- Travel perks, including discounts and more.
- Employee assistance program with resources for life’s challenges.
- Health benefits with competitive coverage and premiums.
- Generous referral scheme rewarding successful referrals.
Inclusivity Statement
We strive to create an accessible and inclusive experience for all candidates. Please reach out to our recruitment team at AccessibleRecruiting@tripadvisor.com if you need a reasonable accommodation during the application or recruiting process.
AI Personalization and Growth Manager employer: TripAdvisor LLC
Tripadvisor is an exceptional employer that champions innovation and personal growth, particularly for the AI Personalization and Growth Manager role based in London. With a hybrid work model, competitive compensation, and a culture that prioritises work-life balance, employees are empowered to thrive both professionally and personally. The company also offers unique benefits such as travel perks, tuition assistance, and a generous referral scheme, making it an attractive place for those seeking meaningful and rewarding employment in the tech-driven travel industry.
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