Airbnb

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

Data Engineer

• 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

Machine Learning Engineer

• 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.

Manager, Business Process Improvement

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 across regions( China and the US).

Senior Machine Learning Engineer, Community Support Engineering

Technical Program Manager

• Develop program scope and objectives, collaborate with all relevant stakeholders, ensure technical feasibility and drive projects end-to-end
• Aligning on staffing, priorities and technical dependencies within Guest & Host Tech and cross-functional teams like Payments, Trust Eng, Design and Product.
• Manage Technical Design diligence process for large programs aligning design backlog w/ project plan, scheduling reviews and pre-reviews, engaging the right stakeholders across teams, and managing meeting quality and efficiency.
• Manage effective communications to leadership and across teams on key decisions, status, and risks to ensure accountability and timeline management.
• Understand best practices, drive for process improvements, and find new ways of operating, with a focus on simplification and productivity.
• Provide visibility into key performance indicators so leaders are aware of risks and opportunities.
• In this role, you will be expected to work independently with stakeholders and cross-functional leadership with little supervision from management.

Staff Technical Program Manager, Guest & Host Tech

Full-stack Engineer

• Provide technical leadership on high-impact projects
• Influence and coach a distributed team of engineers
• Drive reliability, cost efficiency and capability enhancements for GPU fleet
• Facilitate cross-team alignment on goals, outcomes, and timelines
• Manage project priorities, deadlines, and deliverables
• Contribute to and execute the multi-year strategy for Airbnb’s AI Compute Platform
• Design, develop, test, deploy, maintain, and enhance the Airbnb AI Compute Platform

Senior Software Engineer, AI Compute

Engineering Manager

• Drive entity onboarding with producer teams across the company — unblock teams stuck on data quality issues, resolve schema ambiguity, and close the gap between what the platform promises and what data owners actually experience.
• Lead technical design on the trip entity — data model, lifecycle event taxonomy, real-time streaming architecture, and privacy-safe handling of message and conversation data.
• Closely partner with compute and data infrastructure teams to drive the state-of-the-art for realtime data processing at Airbnb.
• Partner with proactive trip support, customer support triage, and host AI product teams to validate that the signal layer meets their actual use cases, not a spec written in isolation.
• Review designs spanning attribute serving, real-time event pipelines, and cross-system entity mapping.
• Work closely with the principal engineer and program manager on roadmap sequencing and escalation of infrastructure dependencies.
• Manage and develop a team of ~7 engineers — own their careers, not just their sprint output.
• Represent entity platform work in executive-level program reviews; this program is a direct priority for Airbnb's engineering leadership.

Engineering Manager – Core Entities, Trip Intelligence

AI Research Scientist

• Drive foundational and applied research in reasoning engines, planning architectures, and decision-making frameworks at scale.
• Advance techniques in LLM/LRM post-training, reinforcement learning–based decisioning, and knowledge-integrated agents.
• Design methods for plan induction, value estimation, and contingency modeling within intelligent agents.
• Explore and validate protocols for distributed reasoning and joint planning among cooperative agents in multi-agent systems.
• Architect RPD systems that integrate post-trained LLMs/LRMs, graph-structured memory (e.g., KGs), and RL-driven controllers.
• Design recursive task planners, search-based or policy-based reasoners, and belief-state trackers that can interoperate with large model substrates.
• Ensure modularity and extensibility through multi-agent frameworks, agentic substrates, and declarative planning pipelines.
• Define communication protocols, coordination strategies, and cross-agent knowledge alignment mechanisms to foster emergent cooperative intelligence.

Principal AI/ML Researcher – Reasoning, Planning, Decision-making Systems

• Build and operate a highly performant, available, and scalable data access gateway that provides a simple and unified experience for accessing online product data.
• Empower and simplify the way engineers at Airbnb define and manage data by building and operating a generalized data schematization solution.

Senior Staff Software Engineer, Storage

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

Analyst

• Data thought partner to product and business leaders, providing insights, recommendations, and enabling data-driven decisions.
• Contribute towards advancing the Analytics and Data Science disciplines at Airbnb, including driving data best practices, building new data tools and data sets, expanding data education around the company and mentoring and developing other team members.
• Drive day to day analytics and create scalable data tools:
• Architect, build, and launch efficient & reliable new data models and pipelines in partnership with Data Engineering
• Design, define, and implement metrics and dimensions to enable analysis
• Continue to enhance our understanding and measurement of the tools used by our partners, with a focus on driving higher host activation within partner buildings.
• Work closely with Data Engineers, Analytics Engineers, Data Scientists and other cross functional teams to build a scalable and unified attribution and measurement platform for understanding impact of product, sales and marketing efforts.
• Collaborate closely with Business Leads to design, implement, and assess offline experiments, including A/B tests and other quasi-experimental techniques.
• Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. Collaborate with Data Engineering to build data tools for mass consumptions within the A4RE team