Synced from Greenhouse · Jul 10

Software Engineer

AirbnbUnited StatesPosted Jul 10, 2026
Software EngineerStaff
Apply now - freeSave & get alerts

Mirrored from Airbnb's own Greenhouse careers system · refreshed hourly

$204k–$255k
Compensation
167
Other open Airbnb roles
Jul 10
Posted
Greenhouse
Applicant system
Job descriptionReq 7421419

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:

We connect Airbnb’s community with the right information, in the right place, at the right time. We tailor Messaging & Notifications so hosts on Airbnb can streamline their operations, and travelers get just the information they need to enjoy their stay worry-free. Additionally, we are building new connections within our community to help enrich the experience of hosting & traveling on Airbnb: easing the process of hosting, and adding meaning to our guest’s trips.

The data team utilizes industry-leading tools, builds scalable data systems and applies cutting-edge ML models to provide insights and empower all products in the Communication and Connectivity (CnC) organization.

The Difference You Will Make:

At CnC, data is foundational to our organization’s success.This role will lead key initiatives to design and build large-scale, distributed data systems - both batch and real-time processing. The data will power machine learning models and unlock new product features. You’ll be at the center of cross-functional collaboration, bridging backend, frontend/client, and machine learning engineering teams.

CnC is applying GenAI and large language models (LLMs) to power products that enhance the Airbnb experience in various surfaces including highly used ones like Messaging. We're building a robust ML platform to power our product ambitions.

A Typical Day: 

  • Shape the team’s long-term vision and roadmap in close collaboration with cross-functional partners across Airbnb
  • Build strong relationships with partner engineering teams, including backend, client, data science, analytics, and ML, to drive aligned and impactful outcomes
  • Design, develop, and maintain reliable, scalable data pipelines - both batch and real-time - that collect, process, and serve data from diverse sources across Airbnb
  • Implement robust offline and online feature building processes to enable faster production of ML products
  • Architect and build ML infra and optimize for performance, scalability, and cost-effectiveness
  • Mentor and develop engineers on the team, while also contributing to and influencing the broader data engineering community at Airbnb

Your Expertise:

  • 9+ years of relevant industry experience with a Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience, or 6+ years of experience with a PhD
  • Strong CS fundamentals, and knowledge of architecture and common design patterns 
  • You’re passionate about being in a product-focused environment where everyone cares deeply about customer impact
  • You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink
  • Experience collaborating with client, backend, ml, analytics teams, product and business partners
  • Effectively work across team boundaries to establish overarching data architecture, data flow, and provide guidance to individual teams
  • Experience working on/with end-to-end Machine Learning products
  • Excellent communication skills, both written and verbal

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

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.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. 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.  

Pay Range
$204,000$255,000 USD
View original posting on Greenhouse

What applying to Airbnb usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Airbnb can typically expect an initial application review followed by a recruiter screen to discuss background and role fit. The process may include multiple stages such as hiring manager conversations, functional or role-specific assessments, and panel interviews with team members, depending on the position, whether technical like software-engineer or data-engineer, or non-technical like account-manager or marketing-manager. Take-home exercises or case studies are common for design, analytics, and product-oriented roles. Communication is generally handled through the Greenhouse platform, with updates sent via email or an online portal. Response times vary and candidates should not assume a fixed timeline. Overall, applicants can generally expect a structured, multi-step evaluation process consistent with common industry practices for companies using this applicant tracking system.

Based on publicly available information. LandEarly does not verify interview process details.

Land this one early - before the req fills.

LandEarly tailors your resume and screening answers to each posting, submits within minutes of a role going live, and tracks every application in one place.

Free to start · No credit card · Cancel anytime

Keep exploring

What this role pays, where else it is open, and how to write the application.

Software Engineer
Airbnb · United States
Apply