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Staff Platform Manager, AI Personalization

200k – 240kUnited StatesRemote9+ YOE
Summary

Lead product strategy and execution for AI Personalization across Airbnb's customer support ecosystem. Own the full stack from retrieval systems to consumer-facing AI experiences, building platforms that enable AI to emulate human agent judgment and empathy at scale.

About the role

Responsibilities

  • Contribute to the long-term vision for building 10-star, personalized community support, building a platform where AI understands each guest and host the way their best human advocate would
  • Partner with data science, ML, and operations to identify new high-signal personalization signals
  • Own the product roadmap across ML models, signals, schemas, and prompt optimization
  • Drive personalization experiment design and measurement: define KPIs (self-solve rate, personalization coverage, citation accuracy), lead experiment design, and translate results into product decisions
  • Collaborate with ML engineers to shape requirements for accuracy, latency, and scalability improvements
  • Scale personalization infrastructure across Airbnb's AI surfaces
  • Build a framework for continuous improvement: define how the team identifies personalization failures, prioritizes fixes, and closes the gap between AI and human agent performance
  • Collaborate across engineering, ML, design, data science, and policy to build consensus on prioritization and ship from concept to production

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 (RAG, retrieval optimization, context engineering)
  • Track record of building and shipping foundational platform products that power multiple downstream experiences
  • 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
  • Experience shipping consumer-facing AI products with personalization at the core
  • Sharp product intuition for when AI automation should give way to human judgment
  • Ability to work at multiple levels of abstraction - from retrieval system architecture to guest experience

Nice-to-Haves

  • PhD with 6+ years of experience
Skills
AI/ML platformsPersonalization systemsContextual data retrievalLLM architecturesRAGRetrieval optimizationContext engineeringA/B testingExperiment designCross-functional leadership
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