Airbnb

Platform Engineer

• Contribute across the team’s surface areas to directly move our core metrics (developer experience, developer velocity, debuggability, performance, and reliability) while reducing cost and providing new functionality to help make our team’s vision, and that of our broader org, a reality. Upcoming projects include modularizing our client observability libraries, code editor and Claude skills developer experience improvements, bundler enhancements, and improving CI debuggability.
• Partner with Airbnb product teams to understand their pain points, pilot proposed solutions, and encourage adoption of tools and frameworks.
• Collaborate with a wide variety of infrastructure teams as well as support product foundation teams as they build additional capabilities on top of the team’s offerings.
• Participate in all phases of software development from architecture/design through implementation, testing, and on-call.
• Support teammates in enabling code quality, operational excellence, and shared learning.

Software Engineer, Web Platform

Data Scientist

• Design and implement causal inference frameworks and statistical models to measure the impact of interventions, evaluate system performance and uncover opportunities for improvement.
• Build, evaluate and iterate on causal ML models that power high-stakes decisions, applying best practices across the full model lifecycle from feature engineering to production deployment.
• Develop frameworks to analyze tradeoffs between competing objectives (accuracy, coverage, user experience and operational cost), and propose strategies to improve overall effectiveness.
• Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation.
• Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making.
• Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes.

Data Scientist – Inference, Community Support

• Identify high-impact business opportunities through data exploration and model prototyping, and translate business problems into scientific formulations.
• Analyze structured and unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy.
• Build and deploy production LLM/ML models that directly contribute to the launch of data-driven products, leveraging AI tools to enhance efficiency and impact.
• Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation.
• Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making.
• Contribute to the long-term vision for how science drives platform outcomes within your domain.

Data Scientist – Algorithms, Community Support

Manager

• Creating vision and strategy for Trust & Safety products and platforms
• Leading a cross-functional working group of engineers, data scientists, designers, and policy experts
• Maintaining product backlog and the product roadmap
• Defining goals and success with clearly measurable objectives and key results
• Building alignment across product teams and Leadership/Executive teams
• Anticipating bottlenecks, making tradeoffs, and balancing business, customer, and technical needs
• Presenting product roadmap and status to business and Airbnb leadership
• Evaluating new product opportunities and bringing forward proposals for new capabilities
• Developing short-term plans aligned with long-term goals

Senior Platform Manager, Trust and Safety

Events

• Collaborate with a wide variety of partner teams to understand their pain points, prototype proposed solutions, and drive adoption of logging products and tooling.
• Own the technical direction and roadmap for a major area of the logging platform, aligning it with broader organizational priorities.
• Lead investments into new technical capabilities that push the envelope and unlock product innovation
• Create and present design, product, and architecture documents and provide feedback on others.
• Translate prototypes to high quality, scalable, and maintainable production code through iterative development.
• Stay up-to-date with the latest industry trends, technologies, and best practices, particularly in the logging and observability space.
• Mentor and provide technical guidance to engineers, fostering a culture of knowledge sharing and continuous learning.

Staff Software Engineer – Events Logging

General Counsel

• Handle escalated notice & takedown cases related to user-generated content on the Airbnb platform; proactively manage risk, identify patterns and opportunities to improve workflows, and support the team through quality control, training, and process development
• Manage ongoing prosecution and maintenance of global trademark, domain name, and copyright portfolios for Airbnb, HotelTonight, and other acquired brands
• Manage a docket of trademark enforcement and IP dispute matters, including corresponding directly with third parties using our marks improperly and negotiating resolutions of trademark disputes
• Advise internal partners on the legal risks and viability of proposed trademarks and domain names, including conducting trademark searches and providing guidance on use and registration issues
• Collaborate with a fast-paced and high-performing team on IP strategy and program management
• Proactively manage and audit trademark and domain name portfolios, collaborating with internal stakeholders to align portfolios with business objectives
• Consult and partner with marketing, product, and commercial counsel on trademark, copyright, and right of publicity issues

Counsel, IP

QA Engineer

• Build AI Agents for the Testing Lifecycle
• Advance AI-Native Quality
• Improve Developer and QE Productivity
• Integrate AI into Engineering Workflows
• Hands-on Development
• Applied AI
• System Design
• Cross-Functional Collaboration
• Experimentation & Iteration
• Mentorship

Software Engineer, Quality Platform

DevOps Engineer

• Collaborate with the Reliability Experience, Incident Management, Observability, and Resiliency teams to design and develop high quality UX.
• Be an active contributor to your projects by creating high quality, tested pull requests and reviewing other’s designs and code.
• Build appropriate tests to ensure the reliability and performance of the software you create.
• Create and present your own design, product, and architecture documents and provide feedback on others.
• Stay up-to-date with the latest industry trends, technologies, and best practices in Web development and performance engineering, particularly in the Reliability and Observability space.
• Do all this in an opinionated fashion, with humility and curiosity, as we are our own product managers.

Senior Software Engineer, Reliability Experience Team

• Design, implement and maintain the tools and systems that support service reliability, monitoring, and alerting.
• Collaborate with other engineering teams to ensure services are designed with reliability in mind, and provide guidance on the appropriate use of tooling and automation.
• Identify opportunities to improve the reliability, scalability, and efficiency of our services and drive their implementation.
• Work with infrastructure engineers to understand the challenges they face in operating our services and develop tools and systems to help them manage these challenges.
• Participate in incident response and post-mortems to identify and address systemic issues.
• Continuously evaluate new technologies and industry best practices to improve our SRE tooling and incident response procedures.
• Gain and maintain an intimate understanding of how the critical parts of the site work (services, infrastructure, product, tools, and processes)
• Lead high-urgency incidents and mentor less-experienced engineers in effectively handling incidents.

Senior Software Engineer, Reliability Engineering

Support Engineer

• Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
• Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products
• Learn and share the latest AI/ML technologies with the team.

Staff Machine Learning Engineer, Community Support Engineering

Solutions Engineer

• Define and own Airbnb's Workday integration architecture standards, patterns, and governance frameworks
• Lead architectural decisions for complex, high-risk integration initiatives, including global rollouts
• Architect, design, build, and maintain complex inbound and outbound integrations using Workday Studio
• Drive operational excellence across the integration portfolio
• Act as a technical authority for Workday integrations across BizTech

Staff Workday Integration Engineer

Full-stack Engineer

• Own and operate critical pieces of Airbnb's online serving storage systems
• Lead a team of developers to deliver multi-quarter cross functional projects
• Stay up-to-date with the latest developments in data ingestion systems
• Influence the team’s and organization’s long-term roadmap and strategy
• Mentor and coach team members

Staff Software Engineer, Storage

• Working closely with cross functional teams including design, product marketing, prototyping and others to envision a unique, delightful, extensible guest-host communication experience.
• Envision and build a scalable foundation for reaching out hosts in need through notifications
• Exploring ways to uplift our partner integration platform leveraging the advanced AI technology
• Understand how key technical decisions will drive business outcomes and deliver frameworks and platforms that improve delivery with high-quality to those outcomes
• Performing design and code reviews and advise/mentor other engineers at Airbnb

Senior Staff Engineer, Communication & Connectivity

• Contribute to and lead engineering delivery on programs that enable intelligent agent matching, personalized support experiences for high-value customers, and next-generation routing and communication channel capabilities.
• Own and evolve core routing infrastructure, including decision engines, workflow orchestration, and routing rule management. Ensuring high availability, correctness, and scalability across millions of daily support interactions.
• Help drive consolidation of fragmented routing logic spread across multiple platforms and channels into a centralized, auditable, and maintainable system.
• Collaborate cross-functionally with Product, Operations, Data Science, and partner engineering teams to align on priorities and deliver outcomes that improve the customer support experience.
• Contribute to technical quality through design reviews, code reviews, and pragmatic architectural decision-making.
• Support the team's technical growth by mentoring junior engineers and contributing to a culture of continuous improvement and engineering excellence.

Senior Software Engineer, Community Support Engineering

Analyst

• Act as a vital data thought partner to leadership, delivering actionable insights and recommendations that empower integrated, data-informed decision-making across the organization.
• Champion day-to-day analytics while architecting scalable reporting platforms to enhance the efficacy of our payments ecosystem.
• Pinpoint frictions in the user journey to optimize experiences for our global Guest, Host, and agent communities through rigorous problem-solving.
• Solve complex domain challenges using advanced quantitative measurement, machine learning models, AI, and experimentation to provide fresh perspectives on existing solutions.
• Develop sophisticated analytical frameworks and statistical models to establish causal inference and drive measurable business impact.
• Bridge the gap between technical complexity and strategic influence by translating experimental results into compelling narratives for executive stakeholders.
• Influence the eTeam-level roadmap by defining key metrics in unstructured spaces and providing data-backed strategy recommendations.