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# Staff Platform Manager, AI Personalization

- **Company:** Airbnb
- **Location:** United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Retrieval, Machine Learning, Large Language Models
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/9c612a49-30af-4d8d-b4b3-b6be0364b8b0

## About the Role

* 9+ years of industry experience with a BS/Masters OR 6+ years with a PhD, with deep expertise in AI/ML-powered platforms at consumer scale
 * Strong working knowledge of personalization systems, contextual data retrieval, and LLM architectures - you can engage credibly with ML engineers on topics like RAG, retrieval optimization, and context engineering tradeoffs
 * Track record of building and shipping foundational platform products that power multiple downstream experiences and surfaces
 * Experience designing and interpreting A/B experiments and online experiment frameworks; ability to own end-to-end metrics strategy for complex AI systems
 * Strong capacity to synthesize ambiguous signals into clear, prioritized product decisions
 * Proven cross-functional leadership: able to align ML, engineering, data science, design, and operations teams around a shared vision
 * Experience shipping consumer-facing AI products with personalization at the core
 * Sharp product intuition for when AI automation should give way to human judgment, and how to design systems that make that transition seamless
 * Ability to work at multiple levels of abstraction - from the architecture of a retrieval system to the experience of a guest trying to resolve a cancellation dispute

## Description

* Contribute towards the long-term vision for building 10-star, personalized community support, building a platform where our AI understands each guest and host the way their best human advocate would, and responds accordingly.
 * Partner with data science, ML, and operations to identify new high-signal personalization signals to serve user needs
 * Own the product roadmap across ML models, signals, schemas, and prompt optimization to ensure the right information reaches the model in the most effective form.
 * Drive personalization experiment design and measurement: define KPIs (self-solve rate, personalization coverage, citation accuracy), lead experiment design, and translate results into clear product decisions.
 * Collaborate with ML engineers to shape requirements for accuracy, latency, and scalability improvements.
 * Scale personalization infrastructure across Airbnb's AI surfaces, ensuring the platform is extensible enough to serve each modality's unique needs.
 * Build a framework for continuous improvement: define how the team identifies personalization failures, prioritizes fixes, and systematically closes the gap between AI and human agent performance.
 * Collaborate across engineering, ML, design, data science, and policy to build consensus on prioritization, drive cross-functional alignment, and ship with rigor from concept to production.


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