Airbnb

Staff Product Manager, AI Personalization

United States

About the role

Airbnb's Community Support Platform & Engineering team is seeking a Staff Product Manager to lead AI Personalization strategy and execution across their customer support ecosystem. You'll own the complete stack of personalization systems—from retrieval architectures to consumer-facing AI—scaling it across multiple Airbnb touchpoints. The mission centers on enabling AI to replicate the judgment, empathy, and accuracy of Airbnb's top human agents while serving millions of guests and hosts globally. Your responsibilities span setting multi-year product roadmaps, partnering with data science and ML teams to identify high-signal personalization opportunities, designing and measuring experiments (tracking metrics like self-solve rate and citation accuracy), optimizing ML models and prompts, and building frameworks for continuous improvement. You'll also drive cross-functional alignment across engineering, design, data science, and policy teams to ship rigorously from concept through production. This role demands 9+ years of experience with a BS/MS (or 6+ years with a PhD), deep expertise in AI/ML platforms at consumer scale, and strong working knowledge of personalization systems, retrieval optimization, and LLM architectures. You'll need proven success building foundational platform products, designing A/B experiments, and shipping consumer-facing AI products. The position is based in the United States and requires demonstrated cross-functional leadership and sharp instincts for balancing AI automation with human judgment.

Full job description

Expand to read the complete role requirements.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

At Airbnb, we're driven by our mission to create a world where anyone can belong anywhere. The Community Support (CS) Platform & Engineering team is at the forefront of this mission - building the AI systems that power world-class support experiences for millions of guests and hosts globally. We are building to a bold vision, where our AI doesn't just answer questions, but truly understands each person's unique context, mirrors the judgment and empathy of our highest-performing human agents, and delivers 10-Star support at scale.

The AI Personalization team is the intelligence layer that makes this possible. We own the full-stack systems that enable the AI to give every guest and host a response that feels written just for them.

The Difference You Will Make:

We are looking for a visionary Staff Platform Manager to lead the product strategy and execution for AI Personalization across Airbnb's customer support ecosystem. This is one of the most consequential roles in CS Platform Product: you will own the full stack of personalization, from the underlying retrieval systems to the consumer-facing AI experience, and scale it across multiple Airbnb surfaces.

The north star: enable AIA to emulate the judgment, empathy, and accuracy of Airbnb's highest-performing human agents. To achieve this, you'll build a platform that continuously enriches the AI's understanding of each user, and surfaces that understanding at the right moment, in the right form, across every channel.

This role demands a rare combination: customer experience chops to build meaningful and delightful personalized experiences, technical fluency to partner with ML engineers on contextual retrieval architectures and model prompt design, and the strategic vision to set a multi-year product roadmap that transforms how AI serves our community.

A Typical Day:

  • 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.

Your Expertise:

  • 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

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range
$200,000$240,000 USD

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