Hybrid Web & App Personalization Manager

at Despegar

• Job title: Web & App Personalization Manager
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, Buenos Aires, Argentina

About the role

• Web & App Personalization Manager leading the design and optimization of personalization strategies. Building and optimizing recommendation models to drive conversion and user engagement.

Responsibilities

• Responsible for building and optimizing personalized product recommendation models across the website and mobile app, improving search-to-purchase conversion, monetization and user experience:
• Lead the development of user centered recommendation systems for products, destinations, bundles and offersImprove relevance across search results, listings, landing pages and carousels.
• Partner closely with Product and UX to translate MVP models into scalable product features.
• Continuously test and optimize personalization impact on conversion, gross bookings and user experience.
• Operate with a strong experimentation-first mindset across all personalization initiatives.
• Design A/B tests and control groups to measure true incremental impact.
• Separate correlation from causation in model evaluation.
• Define clear success metrics aligned with business outcomes (gross booking, revenue, margin, ROI).
• Own the web & app personalization strategy end-to-end across countries.Bring governance, structure and clarity to a highly impactful but sensitive lever.
• Define and manage clear ownership of web/app placement rules, processes and guardrails.
• Create a simple but robust approval process.
• Share learnings and frameworks across countries and teams.
• Act as a strategic partner to Product, Marketing, Growth, CRM and Commercial teams.
• Translate business problems into data science roadmaps and priorities.
• Align stakeholders on trade-offs, limitations and expected impact of models.
• Influence without authority through clarity, credibility and results.
• Incrementality vs vanity metrics: Many models can “look good” on paper; this role must ensure they drive real incremental value, not cannibalization.
• Operationalizing data science: Success depends not only on building models, but on getting them adopted, trusted and used at scale.

Requirements

• 5+ years of experience in **data science, personalization **or growth analytics.
• Strong background in **machine and deep learning, experimentation and causal measurement.**
• Experience leading and developing **data science teams.**
• Experience in** travel, ecommerce, marketplaces** or scaled consumer platforms is a strong plus.
• Ability to operate in fast-paced, cross-functional, multi-country environments.