Airbnb

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

Data Engineer

• 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

Product Manager

• 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

Full-stack Engineer

• 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

Senior Software Engineer, AI Products

Revenue Operations

• Ensure that the proper financial processes, procedures and controls are in place to support the financial reporting and audit for Airbnb as it relates to the platform operations.
• Develop and own processes and procedures, including documentation and testing, to monitor and manage the platform related accounts and entities.
• Partner closely with finance teams to identify, assess and articulate the financial impact(s) of business changes.
• Improve visibility for finance leadership into platform accounts and initiatives.
• Partner with the platform SOX team to ensure risk identification and control mitigations are appropriate - design, implement, document and review controls to ensure they are functioning properly.
• Develop relationships with key stakeholders in payments, compliance, legal and other partner and finance teams on the importance of engaging with Platform Controlling.
• Lead the Revenue Operations team, and ensure all processes meet the close deadline.
• Teach and mentor staff in accounting and finance on issues, including revenue technical accounting, GAAP guidance and best practices for documentation, partner engagement and operational processes.
• Subject matter expert that partners seek out for guidance and insight.

Senior Manager, Revenue Operations

Manager

• Lead a geographically distributed team while driving strategic initiatives across business verticals
• Reimagine GTM technology ecosystem to drive productivity for sales and account management teams and operations teams
• Own unified program roadmaps across Homes, Hotels, Experiences, and Services while partnering cross-functionally
• Build and develop a distributed team across multiple verticals
• Establish team success and accountability by defining metrics, measuring program outcomes, and building strong stakeholder relationships
• Create growth pathways for team members at various career stages
• Design and execute a unified roadmap strategy across acquisition and account management systems
• Lead cross-functional delivery by coordinating complex initiatives across Supply, Operations, Product Marketing, Engineering, and Analytics teams
• Influence technical architecture by partnering with Business Technology, Platform and Engineering teams
• Solve complex business problems by evaluating technology solutions from CRM to custom builds

Senior Manager, Supply Tech

• Define and deliver a compelling product vision and roadmap for Anti-Discrimination and Equity products.
• Lead a cross-functional group of engineers, data scientists, designers, operations experts, policy leaders, and product partners to drive alignment, execution, and measurable impact.
• Manage the product backlog and prioritization process, balancing business value, risk reduction, and user experience.
• Establish clear goals, metrics, and success criteria in partnership with Anti-Discrimination and Equity and cross-functional leadership.
• Communicate strategy, progress, and insights effectively to stakeholders across all levels, including senior leadership.
• Leverage data-driven experimentation and measurement frameworks to continuously improve scaled platform products and decision systems.
• Collaborate closely with teams across Tech, Global Operations, Policy, Product, Legal, Reputation, and Shared Services to ensure alignment, manage dependencies, and streamline execution.

Senior Platform Manager, Defense Platform

Procurement

• Partner with the Head of Creative Operations, Global Production Director, and creative/production leads to anticipate and confirm staffing for active and upcoming projects — factoring in bandwidth, capabilities, career growth, and interests.
• Own and lead resourcing forums with Executive Producers and Creative Leads; ensure staffing charts, capacity, and assignments are always current and accurate.
• Develop relationships across the creative team to build an intimate understanding of individual capabilities and motivations; always balance immediate needs with long-term growth.
• Oversee the end-to-end contract worker (CW) recruitment process, including CW recruiters, role tracking in Airtable, extension requests, and talent network development.
• Own Float and other resourcing tools — tracking all staffing and capacity for use in planning meetings and new project scoping.
• Partner with Tools Lead to build, maintain, and continuously improve resourcing infrastructure and processes.
• Lead onboarding for all new full-time (FTE) and CW hires in partnership with the Senior Creative Operations Lead; run weekly onboarding calls to ensure smooth integration.
• Partner with creative leadership and Talent/HR on strategic hiring direction, diversity, and future growth planning.
• Forecast and manage the full professional services and CW budget; provide monthly actualization and centralized reporting.
• Coordinate real-time, monthly, quarterly, and annual reporting on team output and resource utilization.

Senior Resourcing Lead, Creative Operations

• Architect and productionize batch and real-time data systems to support various products and business needs.
• Ensure the quality, performance, and stability of data systems through robust quality systems and monitoring practices.
• Design and optimize data models for efficient storage and retrieval to meet critical product and business requirements.
• Collaborate with cross-functional teams, including product managers, engineers, data scientists, and business partners, to align on data requirements and develop scalable systems.
• Tune, productionize, and optimize data systems and machine learning models to enhance their effectiveness and efficiency.
• Build and maintain strong relationships with partner engineering teams, including backend, client, data science, and ML teams, to ensure seamless integration and support.
• Contribute to the development of long-term data strategies and roadmaps, and influence the technical direction of data engineering practices within the organization.
• Mentor and coach team members, providing guidance and support to enhance their skills and performance.

Staff Software Engineer, Data Engineering

• Design and deploy ML models that extract and structure competitive intelligence signals — supply availability, pricing patterns, and market saturation — from large-scale crawled datasets across global competitors
• Build and maintain end-to-end ML pipelines spanning feature engineering, offline training, and low-latency online serving, ensuring high data fidelity and resilience to upstream schema drift
• Apply entity resolution and matching techniques to accurately map competitor listings and markets to Airbnb's internal supply taxonomy, using methods such as embedding models, gradient boosted trees, and transformer-based architectures
• Partner with the crawling infrastructure engineer, data engineers, and product teams to translate competitive intelligence needs into well-defined ML problem formulations and measurable success criteria
• Run rigorous offline and online experiments to evaluate model quality, and collaborate with Pricing, Supply Growth, and Strategy stakeholders to turn model outputs into actionable business decisions
• Stay current with the latest advances in ML and AI, identifying opportunities to incorporate new techniques into the competitive intelligence platform

Senior Machine Learning Engineer, Supply & Competitive Intelligence

Business Operations

• Manage a team of business process improvement analysts and leads.
• Build and strengthen team capabilities in problem solving, systems thinking, process design, and engineering systems for AI-readiness and automation by default.
• Lead the team in operating across both continuous improvement and proactive process engineering, applying the right discipline to each problem, improving what exists and designing systems that prevent failure from the start.
• Apply systems thinking to every initiative, mapping full upstream and downstream context before prescribing solutions and identifying where the real problem lives rather than where it surfaces.
• Lead change management for process transitions, ensuring new designs are adopted effectively by agents, teams, and partners and that the change is sustained over time.
• Contribute to the strategy and evolution of process engineering as an operational discipline and lead it in practice, providing recommendations to decisions in supported business focus areas.
• Execute in alignment with the strategic objectives of Community Support.
• Make decisions on the best approaches based on data-driven analyses, identifying opportunities appropriate for incremental improvement and systemic redesign.
• Apply the right suite of process analysis, design, and automation tools to drive well-defined future state processes at scale.
• Maintain execution ownership end-to-end. Strategy without follow-through to measurable outcomes is not the standard.
• Relentless focus on continuously improving both the customer and employee journey in key business focus areas.
• Manage demands and associated resourcing of initiatives from the Community Support roadmap, operational changes, and various working groups.
• Collaborate cross-functionally to align priorities and inform trade-offs.
• Partner with Product and Technology teams to ensure process requirements inform tooling design and that new capabilities are engineered for how agents and customers actually work.
• Implement ways of working that enable efficient flow of value-based outcomes from the team, providing clear direction when needed and removing impediments.
• Drive Process Engineering maturity by embedding the discipline's principles into how the team scopes, designs, measures, and iterates on every initiative, including training and building practitioners.
• Ensure every process design is evaluated against three standards: does it reduce agent and customer burden, is it measurable from day one, and can it be automated or self-correcting over time.
• Develop the team of problem solvers through coaching, mentoring, and other employee engagement activities.
• Support stakeholders with a leadership perspective in process improvement project scoping, definition, design, and implementation.
• Hold the team accountable to outcome ownership, tracking results post-launch and iterating until the objective is achieved, not just delivered.
• Communicate regularly with stakeholders on how the work of BPI aligns to outcomes and continue to improve as part of a holistic solutions-based approach.