Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in more than 100, 000 cities and towns located in 220+ countries and regions across the globe. Every day, Hosts offer unique stays and one-of-a-kind activities that make it possible for guests to experience the world in a more authentic, connected way. Airbnb was born with a creative spirit, and it’s one of the most defining parts of our culture. We use our curiosity and imagination to come up with unconventional solutions. These are the ideas at the core of Airbnb:

• Our community is based on connection and belonging.
• Our creativity allows us to imagine new possibilities for people.
• Our responsibility is to all of our stakeholders.
• It takes a unified team committed to our core values to embody these ideas, and our fast-moving team is committed to leading as a 21st century company. The Guest Engagement AA sits within Marketing Analytics and serves as the analytical backbone for Airbnb's lifecycle marketing programs — the email, push, and in-app communications that reach hundreds of millions of guests across their entire journey. You'll partner closely with Guest Engagement Marketing, MarTech Data Science, and Strategic Finance to drive measurable booking impact through experimentation and insights. You will be the clear analytics owner of Airbnb's guest lifecycle marketing domain — covering abandon journeys, demand generation, onboarding, upsell, and more. This role is expected to drive significant incremental bookings in 2026 by setting the analytics strategy, designing rigorous experiments, and surfacing proactive insights across 30+ active programs. A Typical Day
• Own the analytics roadmap for Guest Engagement — define what to measure, what to test, and where the biggest opportunities lie across the full guest lifecycle. Specific projects and prioritization decisions should exist because of your recommendations.
• Design and analyze experiments at scale across abandon journeys, demand gen ML model rollouts, and placement-level A/B tests. Develop measurement frameworks (holdouts, proxy metrics, annualized impact models) to accurately attribute cumulative program impact.
• Surface proactive insights that go beyond reporting — user segmentation, funnel analysis, fatigue signals, channel optimization — and translate them into strategic recommendations for Director-level marketing leaders.
• Build scalable, self-serve reporting (dashboards, OKR tracking, experiment trackers) that empowers partners and frees AA capacity for higher-leverage work.
• Collaborate cross-functionally with MarTech DS on ML model feedback loops and attribution, with SF&A on goal methodology, and with India-based analytics resources on operational reporting. Your Expertise:
• Technical proficiency: Advanced SQL and Python/R. Experience working in large-scale data environments.
• AI-forward mindset: Experience leveraging AI tools to automate workflows, accelerate analysis, and build scalable solutions.
• Domain experience in lifecycle marketing (email, push, audience segmentation, incrementality) is a strong plus.
• Quantitative degree required. Advanced degree preferred. Belonging & Accommodations: Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or reasonable accommodation during the application and recruiting process, please connect with your talent sourcing partner. Pay Rate Range: $110-$128/hr Apply To this Job