Product Manager, Relevance and Personalization

About the role

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. You will own the roadmap and strategy for Airbnb's core relevance and personalization systems, defining how intelligent matching evolves across the entire guest journey. You will shape the future of discovery by driving natural language query understanding and context-aware experiences that make the platform feel like a travel companion. This role requires you to balance competing objectives such as guest satisfaction, host success, revenue, fairness, and marketplace health in every prioritization decision. You will close the feedback loop for hosts by designing experiments and systems that surface host needs into the matching intelligence. You will partner with ML engineers, applied researchers, and cross-functional teams to ship systems that directly drive bookings and marketplace trust at global scale.

Key facts

What you'll do

Define and drive the roadmap for Airbnb's relevance and personalization platform, covering natural language understanding, multi-turn discovery, and context-aware experiences.

Make prioritization calls that balance guest experience, host success, revenue, fairness, and marketplace health in a fast-moving environment.

Partner with ML engineers and applied researchers to shape model strategy, evaluation frameworks, and experimentation design.

Align cross-functional partners including Guest, Host, MarTech, Trust & Safety, and Customer Support on shared goals and sequencing.

Drive the Tripcycle vision to ensure relevance and personalization intelligence connects across the full trip lifecycle, from inspiration through post-trip reflection.

Design and oversee A/B experiments with rigorous metric design and measurement of long-term effects on platform health.

Translate complex technical tradeoffs into clear decisions for engineering teams and concise narratives for leadership and stakeholders.

Own the end-to-end product lifecycle for relevance features, from discovery and requirements through execution, launch, and post-launch optimization.

Champion data-driven decision making, defining and tracking core metrics that reflect success for both guests and hosts.

Collaborate with design partners to translate user needs into product requirements and interaction models that scale globally.

Ensure product decisions reflect Airbnb's commitment to fairness, inclusivity, and trust across diverse host and guest communities.

Contribute to the broader product and engineering best practices, including documentation, roadmaps, and cross-team dependencies.

Support the integration of new research findings into production systems, working closely with research teams to validate impact.

Represent the Relevance and Personalization team in cross-company discussions, articulating the strategic value of intelligent matching.

Requirements

8+ years of experience in product management, growth, or related roles, with a track record of delivering complex consumer products.

Strong experience in data analysis and experimentation, including defining metrics, running A/B tests, and interpreting results to inform decisions.

Proven ability to manage ambiguity and prioritize in a dynamic environment with competing objectives and limited resources.

Excellent written and verbal communication skills, with the ability to translate technical concepts to both technical and non-technical audiences.

Experience working with machine learning models and understanding their limitations in real-world applications is required.

Deep understanding of marketplace dynamics, including how matching between two sides influences behavior and outcomes.

Strong judgment and decision-making skills, with comfort making high-stakes decisions in the absence of complete information.

Demonstrated experience collaborating with cross-functional teams, including engineering, design, research, and operations.

Nice to have

Preferred experience in search ranking, recommendations, or personalization systems within a marketplace or platform context.

Background in natural language processing or generative AI applied to consumer products.

Experience defining long-term metric frameworks that capture lifecycle effects on guest and host outcomes.