Strategic Overview
Senior Software Engineer, Experimentation Interfaces at Airbnb is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as Develop new features across the client (React/TypeScript), APIs (Python/GraphQL) and database, and own them from design through on-call. Work with design and key customers to shape intuitive experiences, including how to visualize experiment results so users…
The role is listed for Brazil with remote working arrangement, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This 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.
Key Responsibilities & Objectives
- Develop new features across the client (React/TypeScript), APIs (Python/GraphQL) and database, and own them from design through on-call.
- Work with design and key customers to shape intuitive experiences, including how to visualize experiment results so users with minimal statistical training draw good conclusions.
- Build AI-enabled workflows for our users, such as agent tools and skills that help create, validate and analyze experiments, and the interface around them, with evaluations that keep quality high.
- Experience across the stack: backend APIs in Python or a similar language, GraphQL or comparable API design, and relational database storage.
Required Qualifications & Candidate Blueprint
- 5+ years in a hands-on software engineering role, shipping high-quality code to production, including full-stack web applications on a modern stack.
- Strong front-end skills: React and TypeScript fundamentals, state and data fetching, performance and testing, and a good eye for intuitive interfaces in data-rich or enterprise tools.
- Hands-on experience with AI: you build with LLMs or agent tooling (tools, skills, evaluations), or you are fluent with AI-assisted development and know how to verify what it produces.
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
- [Bonus] Experience with data visualization or data-intensive applications.
- [Bonus] Experience with experimentation platforms.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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 Community You Will Join
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.
The Difference You Will Make
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.
A Typical Day
- Develop new features across the client (React/TypeScript), APIs (Python/GraphQL) and database, and own them from design through on-call.
- Work with design and key customers to shape intuitive experiences, including how to visualize experiment results so users with minimal statistical training draw good conclusions.
- Build AI-enabled workflows for our users, such as agent tools and skills that help create, validate and analyze experiments, and the interface around them, with evaluations that keep quality high.
- Use AI-assisted development to move faster, and help the team set good practice for it.
- Work with data science partners to bring new methodology into the product.
- Participate in experiment reviews to understand how customers use the platform and where it falls short.
Your Expertise
- 5+ years in a hands-on software engineering role, shipping high-quality code to production, including full-stack web applications on a modern stack.
- Strong front-end skills: React and TypeScript fundamentals, state and data fetching, performance and testing, and a good eye for intuitive interfaces in data-rich or enterprise tools.
- Experience across the stack: backend APIs in Python or a similar language, GraphQL or comparable API design, and relational database storage.
- Hands-on experience with AI: you build with LLMs or agent tooling (tools, skills, evaluations), or you are fluent with AI-assisted development and know how to verify what it produces.
- Experience working directly with customers and design to turn ambiguous needs into shipped, well-designed features, with clear communication.
- [Bonus] Experience with data visualization or data-intensive applications.
- [Bonus] Experience with experimentation platforms.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This dev opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Develop new features across the client (React/TypeScript), APIs (Python/GraphQL) and database, and own them from design through on-call. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.