About Homes

The Homes Business focuses on helping guests experience the world in a more authentic and meaningful way by staying with gracious hosts who offer their own unique spaces and hospitality. Our guests connect with those hosts through the Airbnb marketplace, which is unlike any other in the world.

About Relevance

The Relevance and Personalization team at Airbnb is responsible for search and personalization across the entire Airbnb digital platform. Be a leader in the team working on critical, impactful projects with a focus on search ranking, recommendations, autocomplete, query understanding and Airbnb’s ranking platform. We collaborate closely with teams across Airbnb to tailor the guest search experience and support a healthy marketplace for hosts and guests to further Airbnb’s mission of creating a world where anyone can belong anywhere.

About this Role

On the Relevance and Personalization team, you will guide the development of projects that shape Airbnb’s search and recommendation products with a senior machine learning team and partners. You will also play an important role in shepherding a data- and hypothesis-driven product development approach within the team and across the company. 

Responsibilities 

1. Roadmap: Lead the generation and execution of a hypothesis- and data-driven roadmap of Airbnb’s search and recommendation products. 
2. Goals: Define successful product outcomes with clearly measurable objectives and key results. Create accountability against goals.  
3. Experimentation: Leverage online controlled experiments and quantitative and qualitative user insights to make data-informed decisions. Make tradeoffs to balance long-term and short-term growth that benefit the user. 
4. Leadership: Lead and inspire team and partners through ambiguity, challenges, and pivots. Influence positive outcomes by working across the team, cross-functional partners, and leadership.
5. Communication: Communicate crisply and concisely in any medium. Demonstrate strong storytelling and narrative writing capabilities. 

Qualifications 

1. 10+ years of product management experience
2. Experience with A/B testing and data- and hypothesis-driven product development
3. Experience building model-driven products that benefit the end user
4. Worked with data at scale and empowering organizations through data and insights
5. Shipped several large-scale projects with multiple dependencies across teams and functions
6. Background in machine learning
7. Degree in computer science or related field OR equivalent experience

The starting base pay for this role is between $152,000 and $207,000. The actual base pay is dependent upon many factors, such as: education, experience, and skills. 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