The opportunity
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…
What you'll do
Partner directly on growth initiatives to build, ship, measure incrementality: of bookings/attach rate/revenue, and optimize 0-to-1 customer-facing features
Thought partnership with Product to define strategy, sequence iteration,: scale impact via science frameworks and as the go-to tech lead around data, experimentation, and domain understanding
Build observational causal inference models to deeply understand guest: intent, identify underlying mechanisms, and build data products to measure impact, and inform feature objectives and tradeoffs
Champion AI-enabled Product Understanding, to scale data-driven frameworks,: robust measurement, and compelling storytelling of data learnings to guide recommendations and roadmaps with senior leaders
Develop a pricing guidance system for hosts as well as experimental and: observational methods to measure the impact of pricing feature launches.
Collaborate with product and cross-functional teams to pioneer pricing: strategies and translate advanced modeling into actionable recommendations
What they're looking for
- Develop foundational models and experimental approaches that balance supply: and demand in the marketplace, leveraging empirical methods to assess and iterate on pricing feature impact
- Craft compelling data narratives to surface actionable insights, empower: data-driven decision making and influence the future direction of Airbnb’s pricing ecosystem
- Develop models and analytic frameworks that improve listing ranking and: recommendation. This includes incorporating marketplace dynamics such as listing availability, supply quality, and long-term ecosystem health into ranking decisions.
- Partner closely with Machine Learning Engineers and Product to launch: high-impact search improvements. Design experiments and evaluation frameworks to understand the impact of search and AI-driven product improvements.
