International Growth Systems, AI & Personalization Manager

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$93,011 U.S. median for this role

Projected growth (BLS Employment Projections)

+5.1% - Faster than average

Matched to SOC 13-1161 - Marketing aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

International Growth Systems, AI & Personalization Manager London, UK International Growth Systems, AI & Personalization Manager I Tripadvisor About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. You are the engine room. While the CRM and Loyalty managers identify opportunities, you build the 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 This role is a hybrid position that requires 2 days per week in our London office. Key Responsibilities - Data Foundation & Measurement: Partner closely with Data Science, Analytics, 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. - 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

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