Airbnb

Full-stack Engineer

• Design, build, and operate foundational systems used across Airbnb engineering.
• Work on technically challenging infrastructure problems involving distributed systems, Kubernetes, developer workflows, scalability, reliability, and cost efficiency, while partnering closely with teams across Developer Platform, DevAI, CI/CD, Cloud Infrastructure, and Security.
• Build and operate cloud development environments and execution platforms for engineers and AI agents.
• Scale Kubernetes-based worker pools, control planes, and APIs for parallel and asynchronous workloads.
• Improve AirDev validation so engineers and agents can test changes quickly before CI.
• Strengthen source-control and code-review systems as PR volume, automation, and concurrency grow.
• Improve developer workflows across build, test, dependency management, and polyglot monorepo tooling.
• Diagnose production issues across distributed systems, networking, storage, and orchestration.
• Set technical direction and make high-stakes architectural decisions with significant ambiguity.
• Mentor engineers on the team and raise the quality bar through code review and design feedback.

Software Engineer, Dev Tools

Events

• Work with partner teams at Airbnb to understand their pain points, prototype proposed solutions, and drive adoption of logging products and tooling.
• Create and present your own design, product, and architecture documents and provide feedback on others.
• Translate prototypes to high quality, scalable, and maintainable production code through iterative development.
• 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.
• Stay up-to-date with the latest industry trends, technologies, and best practices, particularly in the logging and observability space.

Senior Full Stack Engineer, Event Logging

Compliance

• Anticipate and interpret global regulatory developments, providing strategic guidance to senior leadership on potential impacts and opportunities.
• Partner with cross-functional teams such as Engineering and Product to implement regulatory products that address the changing landscape, and anticipate future trends.
• Design and oversee comprehensive regulatory product programs, ensuring adherence to applicable regulations, and industry standards.
• Conduct thorough risk assessments to identify potential regulatory and operational risks.
• Track emerging technologies and regulatory trends to identify opportunities for innovation in regulatory products.
• Lead and coach a growing high-performing, diverse team.

Senior Regulatory Operations Lead – Regulatory Products

Principal

• Competitive Monitoring: Develop and manage regular reporting to review key metrics across marketplace and product; track developing news and industry trends; lead monthly leadership insights forum
• Strategic Deep Dives: Partner with key stakeholders across Supply, Global Markets, Product, and Marketing to conduct deep dives that will inform key decisions
• Data Strategy: Lead the competitive intelligence data strategy — evaluate data required to achieve key growth initiatives and potential data sources; own relationships with external data providers and research vendors
• Cross-Functional Enablement: Ensure competitive insights and datasets are accessible and actionable for XFN teams; partner with Engineering and Data teams to deliver reliable reporting infrastructure

Senior Principal, Competitive Intelligence

Support Engineer

• Conduct in-depth evaluations of Premium Support interactions in English and/or German to ensure strict adherence to premium-tier service standards.
• Refine and enhance quality scorecard frameworks based on emerging trends and insights.
• Identify service gaps and areas for improvement, ensuring a seamless, proactive and anticipatory support experience for premium guests and hosts.
• Ensure that all Premium Support interactions align with Premium Support Principles, exceed expectations of high-net-worth clients, and reflect luxury concierge service standards.
• Provide data-driven insights and quality analytics to Premium Support Leadership to help optimize performance.

Quality Analyst, Premium Support – German/English

• Collaboration with the Client Engineering, Product Management, and Design teams to align on product requirements.
• Driving the scoping, technical requirements, design, implementation, and operation of new functionality.
• Building high-quality, re-usable backend components.
• Supporting other engineers in the team or in related teams.

Software Engineer, Guest & Host

Product Manager

• Define and drive the product vision, strategy, and roadmap for multiple incubation tracks simultaneously.
• Translate new business ideas and hypotheses into clear MVP scopes, leveraging the Guest App’s configurable platform components wherever possible to minimize engineering investment.
• Design and run pilots with clearly defined success criteria and measurable OKRs; synthesize learnings quickly and make data-driven graduate/expand/stop recommendations.
• Build strong working relationships with business development, partnerships, and external partners to ensure new offerings integrate seamlessly into the guest experience.
• Craft compelling product narratives for new incubations — for internal leadership alignment and for external launch communications.
• Develop and maintain a prioritization framework that balances multiple concurrent incubation tracks against core product demands.
• Foster open communication and curiosity across a scrappy, fast-moving team.
• Operate with speed and quality, shipping features, learning, and iterating with high throughput.

Product Manager – Incubations

Cloud Engineer

• Work with open source communities (e.g. istio) to build the next generation service mesh for all Airbnb back-end services;
• Build the cross-region gateways and load balancers for global Airbnb services;
• Work with external partners and internal engineering and security teams to deliver edge security systems that protect Airbnb services;
• Design the multi-region network architecture on public clouds, and build software and operation tools to manage Airbnb’s production network;
• Work with product and engineering teams to optimize the network performance for Airbnb services;

Software Engineer, Cloud Networking

Financial Planning and Analysis

• Collaborate with business partners on the annual and quarterly planning process
• Support strategic projects to improve financial outcomes, optimize operational efficiency, and ensure long-term growth
• Provide actionable financial insights through detailed reporting and analytics
• Regularly present financial reports, performance updates, and strategic recommendations to senior leadership and other key stakeholders
• Analyze business trends and drivers of variance, synthesizing complex data into actionable insights for senior leadership
• Own tracking and approval of requests of the team’s budget, ensuring accuracy, compliance, and alignment with organizational priorities

Associate Principal, Strategic Finance – Analytics

Growth Marketing

• Lead strategy and lifecycle marketing execution across email and push - with a primary focus on new airbnb pilots.
• Partner with global business teams to translate new airbnb pilots and promotional moments into effective customer journeys and campaigns.
• Leverage segmentation, behavioral triggers and personalization to improve campaign performance and customer engagement.
• Partner with Analytics and DS on segmentation approach, campaign performance, evaluate incrementality and translate findings and optimizations into leadership-ready recommendations.
• Collaborate with Creative, Product, Engineering, and Marketing teams to deliver high-quality customer experiences across channels.
• Leverage AI-driven insights, automation, and personalization capabilities to improve customer relevance and campaign performance.
• Manage a structured experimentation roadmap across messaging, audiences, timing and channel mix to drive continuous program improvement.
• Develop clear briefs that articulate campaign goals and technical, data, creative, and audience requirements.
• Stay focused and organized in a fast-moving environment, using strong prioritization to keep workstreams impactful.
• Work autonomously, learning tools and systems quickly and proactively moving work forward.

Growth Marketing Lead, Guest Engagement

Machine Learning Engineer

• Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
• Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
• Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
• Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.

Machine Learning Engineer, Relevance and Personalization

• Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
• Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
• Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
• Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.
• Example projects include: feature platform, model interpretability, hyperparameter optimization, concept drift detection.

Senior Machine Learning Engineer, Relevance and Personalization

Customer Support

• Provide end-to-end support to key members of our community experiencing an issue with their reservation
• Interact with Airbnb customers and community members through all current and future channels
• Take end-to-end ownership of all assigned cases
• Resolve user issues quickly and to a high level of mutual satisfaction
• Provide insights about community experience and continuous improvement opportunities to your Management
• Demonstrate a high degree of flexibility, approachability, and integrity when resolving sensitive/complex issues

Senior Specialist, Premium Support – Italian/English

• Define the architecture and contracts governing how models move from development to production — feature store design, model schema management, online/offline inference consistency, and multi-version support.
• Lead the buildout of a unified serving stack that eliminates per-model one-off implementations and gives data scientists a turnkey path from training to production.
• Architect backfill and evaluation infrastructure so the modeling team can simulate production inference over historical data in days, not weeks.
• Establish domain contracts between Modeling and Serving so each team can move independently with clear, enforced interfaces.
• Review and evolve the ML serving architecture — making tradeoff calls on feature pipeline design, model composition, and API interfaces.
• Write and review code for feature engineering jobs, feature store configurations, and serving service endpoints.
• Partner with Data Science, MLE, MLI and core Pricing & Availability systems BE teams to define artifact handoffs and integration contracts.
• Drive milestone planning across the Host Pricing & Settings org, sequencing work to deliver value incrementally.
• Mentor engineers through design reviews and hands-on pairing on the hardest infrastructure problems.

Senior Staff Software Engineer, Host Pricing & Settings

Operations

• Drive operational excellence across key programs which tie directly with the topline goals of the fraud and safety operations team.
• Lead end-to-end process improvement efforts through business case development, establishing measurement systems, root cause analysis, developing and launching innovative solutions, and establishing control and feedback mechanisms to ensure solutions stick.
• Translate business and operational requirements to cross functional stakeholders across our platform product, tools. policy, engineering, and shared services teams.
• Achieve strategic alignment across cross-functional stakeholders to ensure operational goals are embedded in system design, roadmap prioritization, and delivery plans.
• Identify opportunities for process improvement and innovation, grounded in operational data, customer insights, and market trends.
• Act as a subject matter expert on workflows, tools, and processes across Fraud and Safety Operations domains, while staying informed about emerging technologies and industry best practices.
• Thoughtful application and execution of AI into our operations teams, to minimize waste, streamline process, and drive consistency in delivery.
• Lead cross-functional project teams to deliver initiatives on time and within budget; manage dependencies, communicate risks, and ensure successful adoption.
• Champion continuous improvement, fostering Lean and Six Sigma principles through training, mentoring, and hands-on leadership of improvement projects.
• Define and track Key Performance Indicators (KPIs) across functional domains to measure impact and identify areas for optimization.
• Promote a data-driven culture, ensuring decisions are informed by robust analytics and operational insights.