Staff Product Manager, AI Personalization

Airbnb · United Statessenior

In short

▸Liderar la estrategia y ejecución de personalización de IA en soporte al cliente de Airbnb.
▸Trabajar en un sistema de IA que entienda contextos únicos de huéspedes y anfitriones para ofrecer respuestas empáticas y precisas.
▸Ser el puente entre producto, ML y ingeniería para escalar experiencias de soporte con 10 estrellas.

🌐 Proficiency in English required

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What they ask for

✓9+ años de experiencia en industria (o 6+ con PhD)
✓Experto en IA/ML y sistemas de personalización
✓Capacidad para liderar roadmaps de producto a largo plazo
✓Experiencia en colaboración con equipos de ML e ingeniería
✓Habilidades de diseño y medición de experimentos
✓Visión estratégica para escalar plataformas de IA a gran escala

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AI PersonalizationML modelscontextual retrieval architectprompt optimizationdata scienceML engineersengineeringdesigndata sciencepolicy

🎯 Who should you write to at Airbnb?

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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-p

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