Staff Platform Manager, AI Personalization

Airbnb

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$200,000–$240,000 / yr
Posted
90 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $222k
This role $220k
$169k most similar roles pay here $275k

This role pays more than 50% of similar roles. Most pay $188,625–$254,750 — the shaded band above. At the midpoint, this role pays about $220k versus about $222k for comparable roles.

Based on 240 similar postings.

Employer

About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 65 open roles on FindRole.

Listed pay typically runs $200,000–$240,000 across 51 roles with salary data.

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At a glance

TL;DR · Staff Platform Manager, AI Personalization

Staff Platform Manager, AI Personalization joins the Community Support Platform & Engineering team to lead product strategy and execution for AI personalization across the customer support ecosystem. This role involves owning the full stack of personalization, from underlying retrieval systems to consumer-facing experiences, to ensure AI responses mirror the judgment and empathy of human agents. You will build a platform that enriches AI understanding of users, manage the product roadmap for ML models, signals, schemas, and prompt optimization, and drive experimentation design and measurement. Key responsibilities include collaborating with data science and engineering teams to identify high-signal personalization signals and scaling infrastructure across various surfaces. The role requires expertise in LLM architectures, RAG, retrieval optimization, context engineering, and A/B testing to solve the challenge of providing personalized, accurate support at scale for a global community.

What you'll do

  • Lead the product strategy and multi-year roadmap for AI personalization across the customer support ecosystem.
  • Own the full stack of personalization from underlying retrieval systems to consumer-facing AI experiences.
  • Partner with data science and ML teams to identify high-signal signals that serve user needs.
  • Manage the product roadmap for ML models, data schemas, and prompt optimization.
  • Design and measure personalization experiments to define KPIs like self-solve rate and citation accuracy.
  • Collaborate with engineers to improve AI performance regarding accuracy, latency, and scalability.
  • Build a framework to identify personalization failures and systematically close the gap between AI and human agent performance.
  • Drive cross-functional alignment across engineering, design, and policy teams to move products from concept to production.

What we're looking for

  • Hold a BS/Masters degree with 9+ years of industry experience or a PhD with 6+ years of experience.
  • Possess deep expertise in AI/ML-powered platforms at consumer scale.
  • Demonstrate strong knowledge of personalization systems, contextual data retrieval, and LLM architectures including RAG and context engineering.
  • Have a 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 for complex AI systems.
  • Proven ability to lead cross-functional teams across ML, engineering, data science, design, and operations.
  • Experience shipping consumer-facing AI products with personalization at the core.
  • Ability to synthesize ambiguous signals into clear, prioritized product decisions.

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