Airbnb

Full-stack Engineer

• Work with talented engineers on cutting edge technologies to help support Airbnb’s business.
• Lead a team of developers to deliver multi-quarter cross functional projects.
• Stay up-to-date with the latest developments in data ingestion systems and evaluate and incorporate new technologies and methodologies to improve the existing data ingestion architecture/solution.
• Influence the team’s and organization’s long-term roadmap and strategy.
• Mentor and coach team members, providing guidance and support to enhance their skills and technical standards in the team.
• Raise operational standards by effectively and proactively identifying, debugging and fixing operational issues. Be part of the oncall rotation for the Ingestion team.

Staff Software Engineer, Infrastructure

Manager

• Oversee the creation and management of employee schedules to match forecasted demand.
• Ensure that schedules optimize resource allocation, minimizing under- and over-staffing.
• Coordinate with operations to adjust schedules based on real-time demand and unforeseen events.
• Optimize labor costs while maintaining service quality through strategically leverage staffing levers.
• Track and control shrinkage categories and ensure tight monitoring over overtime, absenteeism, and other factors that impact labor costs.
• Partner with the real-time management team to monitor call volumes and agent availability, making on-the-fly adjustments to maintain service levels.
• Design and implement contingency plans during peak times, or unexpected medium term increase in volume.
• Communicate with operations leaders to address staffing issues and find solutions to mitigate risks.
• Analyze performance data to identify trends, inefficiencies, and areas for improvement.
• Report on key workforce metrics such as occupancy, adherence, shrinkage, and service levels.
• Provide insights and recommendations to senior management based on workforce data analysis (i.e. Hours of Ops change).
• Lead and mentor a workforce operations team, fostering a culture of continuous improvement and accountability.
• Ensure that the team is trained and utilizing the latest WFM practices and technologies.
• Engage and partner with external vendors and partners to optimize workforce management solutions.
• Serve as a liaison between the workforce operations team and contact center management to ensure that workforce strategies support operational goals.
• Collaborate with other departments, such as HR, Operations, and Product, to ensure that workforce operations align with broader business strategies.

Senior Manager, Workforce Planning

Product Manager

• Contribute towards the long-term vision for building 10-star, personalized community support, building a platform where our AI understands each guest and host the way their best human advocate would, and responds accordingly.
• Partner with data science, ML, and operations to identify new high-signal personalization signals to serve user needs.
• Own the product roadmap across ML models, signals, schemas, and prompt optimization to ensure the right information reaches the model in the most effective form.
• Drive personalization experiment design and measurement: define KPIs (self-solve rate, personalization coverage, citation accuracy), lead experiment design, and translate results into clear product decisions.
• Collaborate with ML engineers to shape requirements for accuracy, latency, and scalability improvements.
• Scale personalization infrastructure across Airbnb's AI surfaces, ensuring the platform is extensible enough to serve each modality's unique needs.
• Build a framework for continuous improvement: define how the team identifies personalization failures, prioritizes fixes, and systematically closes the gap between AI and human agent performance.
• Collaborate across engineering, ML, design, data science, and policy to build consensus on prioritization, drive cross-functional alignment, and ship with rigor from concept to production.

Staff Product Manager – AI Personalization

Communications

• Build, QA, and deploy content, managing scheduling and audience segmentation to ensure accurate and timely delivery.
• Own end-to-end technical development and execution of email campaign operations, from intake through send, ensuring accuracy and alignment with standards.
• Configure and publish in-app messaging using reusable modules and personalization tools to deliver targeted host communications.
• Maintain content standards, taxonomy, and workflows to ensure consistency, scalability, and quality. Partner with global teams to localize and manage content at scale.
• Develop and maintain documentation and best practices to support internal teams and content creators in using content management systems effectively.
• Contribute requirements and operational feedback to inform the development of scalable features that align with business goals. Support feature development by BizTech, MarTech, and Engineering with operational expertise and testing support.
• Monitor channel performance through data and insights, flagging opportunities to optimize user experience and support community-building initiatives.
• Collaborate with Learning and UX teams to ensure modules are intuitive, engaging, and adaptable to evolving Host needs.
• Share and suggest emerging tools and contribute ideas to improve channel operations to expand our impact on the host community.
• Manage comprehensive campaign operations and execution across multiple simultaneous releases, maintaining high standards for precision, efficiency, and brand alignment.

Host Communications Channels Lead

• Develop and maintain a product vision, strategy, and roadmap for the API platform.
• Synthesize feedback and translate it into product features.
• Develop a public and developer facing messaging and narrative for the API platform.
• Align product teams and cross functional partners.
• Develop partnerships with a focus on supply and demand.
• Role model behaviors that encourage open communication and curiosity.
• Make judgements and prioritization decisions that are in the best interests of our users.
• Efficiently execute to ship products and deliver impact for our business and users.

Product Manager, API Platform

Data Engineer

• Define the multi-year vision for Data Governance and Data Quality.
• Act as a primary consultant for executive leadership on data governance.
• Lead the design of overarching data architectures.
• Define the best practices, tooling, and culture that enable data organizations to maintain high-quality data autonomously.
• Lead cross-functional task forces to navigate complex regulatory landscapes.
• Coach Senior and Staff engineers across the organization on data best practices.

Senior Staff Data Engineer – Data Stewardship

• Lead the product vision, strategy, and platform roadmap that supports the merchandising needs of key business verticals (e.g. Homes, Services, Experiences, International) and new bets (e.g. Hotels, Luxe, Partnerships)
• Build and scale a flexible, configurable platform for rapid testing and deployment of merchandising formats and offers/incentives.
• Incorporate the latest AI technologies to automate targeting, creative asset generation, and campaign management.
• Define and measure campaign performance, revenue lift, and guest engagement.
• Partner with creative and operations teams to manage campaign calendars, assets, and global coordination.
• Efficiently execute to ship products and deliver impact for our business and users.

Product Manager – Merchandising Platform

Project Manager

• Own end-to-end program management for the global early career programs including manager training, performance evaluations, onboarding and offboarding, and event management.
• Lead cross-functional projects across multiple lines of business and global offices to deliver a consistent, high-quality programmatic experience.
• Track initiative progress, measure program ROI, and share regular updates with recruiting and business stakeholders through clear, compelling reports.
• Design and facilitate training and support materials for hiring managers, team members, and program partners.
• Drive continuous improvements to systems, tools, reporting, and processes, including leveraging AI, to increase efficiency across highly operational program work and peak hiring seasons.
• Partner with HR, business leaders, and recruiters to support placement of full-time conversions and program continuity.
• Manage full-cycle recruiting for technical and non-technical intern roles across all Airbnb functions & regions, including Tech, Design, Communications, Public Policy, Legal, and Finance.
• Design function-specific sourcing strategies and build relationships with universities, organizations, and vendors.
• Partner with hiring managers to develop competitive hiring strategies, facilitate debrief discussions, and close candidates.
• Maintain a consistent and seamless candidate experience from application through offer, using our ATS to track and manage all stages.
• Use data to evaluate recruiting success and inform future strategy.

Project Manager – Early Career and Emerging Talent

Machine Learning Engineer

• Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
• Lead, mentor, challenge and grow enthusiastic, collaborative software engineers and applied scientists across the organization
• Raise the AI/ML skillset within the organization. A passion for teaching/mentoring is important.

Senior Staff Machine Learning Engineer, Guest & Host

Frontend Engineer

• Monitor culture, conversation, and platform trends to identify real-time opportunities for Airbnb to show up
• Concept, create, and publish content quickly—often within hours, not days
• Shoot, edit, write, and produce scrappy content when needed; lead others to do the same when scale is required
• Partner with social, brand, comms, and legal teams to move ideas from concept to live execution بسرعة and responsibly
• Balance speed with judgment—knowing when to act fast, when to elevate, and when to hold
• Collaborate with creators, agencies, and internal teams to extend reactive ideas into broader moments when appropriate
• Help define workflows and guardrails that enable fast, high-quality output without unnecessary friction
• Mentor team members on craft, taste, and decision-making in fast-moving environments

Social Creative Lead – Real-Time & Reactive

• Collaborate with other team members and stakeholders to help understand data- and people-related business problems and translate them into scalable data solutions
• Build data pipelines and tables from HR systems such as Workday, Greenhouse, and other data sources
• Support Data Science team members in leveraging data for reporting, dashboard development, and other client-facing use-cases
• Build, update, and maintain a production-grade data foundation that supports AI initiatives — including pipelines that feed LLM-powered tools, evaluation and feedback datasets, and the access controls and data models required to responsibly scale AI products from prototype to production
• Design and deliver data products, including dashboards and reporting tools (e.g., Streamlit visualization apps), that surface actionable insights for non-technical stakeholders
• Write and optimize queries across both distributed query engine (Trino/Presto) and private relational database (Postgres)
• Align on priorities and work from a roadmap, ensuring you are focusing on the highest-priority projects
• Assess data readiness for AI use cases, working with EX teams, Legal, and BizTech to ensure sensitive employee data is handled with appropriate governance, permissioning, and access controls
• Support the transition of AI prototypes to production by building the underlying infrastructure — automated pipelines, security controls, and stable data models — that prototypes require to scale
• Exercise traits of adaptability and good judgment to support organizational agility
• Be a constant learner, active listener, and teacher to advance data engineering, people analytics, and Airbnb

Senior Data Engineer, People Analytics

Account Manager

• Drive multiple high-value deals simultaneously - managing timelines and keeping complex negotiations on track from term sheet to close.
• Proactively identify, analyze, and resolve legal, regulatory, and strategic risks.
• Collaborate with business development, finance, product, and other cross-functional stakeholders to solve complex problems.
• Devise processes and procedures to help support a rapidly growing, global business.

Senior Counsel, Commercial & Partnerships

Art Director

• Lead creative across multiple social and content workstreams, ensuring output is distinctive, culturally relevant, and aligned with Airbnb’s brand vision
• Develop and guide content formats, series, and repeatable franchises, not just one-off campaigns
• Be hands-on in concepting and storytelling, while also setting a clear creative vision for teams and partners
• Collaborate with internal teams, external creators, and production partners to bring ideas to life at scale
• Build strong relationships across Brand, Marketing, Comms, and Product to ensure cohesion across all touchpoints
• Partner with Creative Operations and Production to scale output efficiently without compromising quality
• Mentor and grow a team of multidisciplinary creatives, fostering a culture of curiosity, craft, and experimentation

Senior Creative Director, Social & Content

• Lead the product vision, strategy, and roadmap for the discovery needs of all key business verticals (e.g. Homes, Services, Experiences, International) and new bets (e.g. Hotels, Luxe, Partnerships)
• Lead the development of new discovery features and content formats that drive core guest and bookings growth.
• Incorporate the latest AI technologies and relevance models to uplevel Airbnb’s browsing experience
• Collaborate with marketing teams to extend Airbnb’s discovery strategy to our lifecycle and growth marketing campaigns.
• Craft the product narrative and marketing strategies that communicate the benefits and features of these products both internally and externally.
• Develop product roadmaps and build alignment across product teams (Tech, Design), cross-functional partners (FP&A, Marketing, Global Operations, Customer Experience, Trust, etc.) and Leadership/Executive team.
• Inspire teams, leadership, and the company to support the success of your products and business outcomes.
• Build deep expertise on the subject matter both through user research, marketplace data, and an understanding of the competitive landscape.
• Define goals and success with clearly measurable objectives and key results.
• Efficiently execute to ship products and deliver impact for our business and users.

Product Manager, Guest Discovery, Homepage

• Democratize AI by building tools that empower non-technical employees to leverage the power of LLMs
• Drive innovation by taking AI prototypes from concept to production at scale
• Shape the future of how Airbnb employees work, collaborate, and discover information
• Lead the technical design and implementation of LLM-powered features for OneChat and enterprise AI tools, including RAG pipelines, agent orchestration, and prompt optimization
• Partner with product managers, designers, and cross-functional teams to translate user problems into AI-powered solutions that serve Airbnb's global workforce
• Architect and build production-ready AI/ML-integrated systems, ensuring scalability, reliability, and low latency across multi-cloud environments
• Develop and iterate on agentic AI capabilities, including multi-step reasoning, tool use, and context-aware decision-making
• Implement evaluation pipelines and quality systems to measure model performance, safety, and user satisfaction
• Own production AI systems end-to-end, including deployment strategies, monitoring, alerting, and incident response
• Collaborate with the DevAI team on AirChat SDK integrations, MCP (Model Context Protocol) implementations, and Glean Action Packs
• Mentor engineers (L6-L8) through design reviews, architecture discussions, and pair programming sessions
• Stay current with emerging AI technologies and evaluate their applicability to employee experience products
• Balance hands-on technical contributions with technical leadership activities