Join Airbnb as a Senior Software Engineer to enhance the experimentation platform with AI-assisted workflows and intuitive interfaces.
Posted by employer 8 hours ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
Skills & Technologies
What you'll build
Must have
Nice to have
AI in the day-to-day
Build AI-enabled workflows for users, such as agent tools and skills that help create, validate and analyze experiments.
Requirements
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Senior Software Engineer for Experimentation Interfaces at Airbnb will develop and enhance a web application that facilitates the setup, management, and analysis of experiments across the company. The position requires strong skills in React and TypeScript for front-end development, along with experience in Python for backend APIs and familiarity with AI-assisted workflows. This role is ideal for someone with over five years of hands-on software engineering experience who can translate customer needs into effective features. The team emphasizes collaboration with design and data science partners to create intuitive and reliable tools.
Joblaze insights
Quick facts
From the original posting
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 Experimentation team's mission is to provide an insightful, reliable and easy to use experimentation platform (A/B testing and feature rollout) for customers across the company. Thousands of experiments run on our platform each year. Our team is multidisciplinary, owning UIs for setting up and analyzing experiments, data pipelines and libraries for calculating results, and clients for assignment and delivery. You will work closely with design and data science partners and with the engineers and analysts across the company who use our tools every day.
You will co-own the web application where teams set up, manage and analyze experiments and feature configuration, and the AI-assisted workflows that are becoming part of how experiments are designed, validated and read out. You will build features end to end, from the React/TypeScript interface through Python APIs to the data layer, and make our tools intuitive and trustworthy for users with a wide range of statistical backgrounds. Success looks like features that measurably speed up experiment setup and readout, and AI-enabled tools that people adopt because they are reliable.
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