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Airbnb is a community based on connection and belonging.
Staff Platform Manager, AI Personalization
Location
United States
Posted
39 days ago
Salary
$200K - $240K / year
Seniority
Lead
Job Description
Staff Platform Manager, AI Personalization
Airbnb
• 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.
Job Requirements
- 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.
Benefits
- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
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