Airbnb

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.
• Build and evolve stateful, dynamic models that combine supervised learning with online/offline reinforcement, simulation-based rollouts, and symbol grounding.
• Set direction for planning/reasoning infrastructure within the AI/ML platform strategy.

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

Engineer

• Lead groundbreaking applied research in Bayesian systems, distributional reinforcement learning, and multi-modal architectures to drive novel advances in AI and Foundational Intelligence.
• Bridge the gap between theoretical AI/ML advancements and real-world production systems.
• Define and drive the architecture of large-scale Bayesian Framework-based AI systems.
• Develop multi-pass sharded Bayesian + Discriminative/Generative single to multi agent systems for scale and efficiency.
• Build and refine Bayesian or Markovian Graph chains to incorporate uncertainty estimation, adaptive decision-making, and probabilistic reasoning.
• Lead technical direction and strategy for AI/ML systems.

Principal Engineer – Bayesian, Large Foundational Systems, Distributional Reinforcement Learning

Data Scientist

• Dig into experiment results to surface high-impact personalization opportunities; translate what you find into crisp scientific problem formulations that balance rigor with speed-to-learning.
• Work closely with product managers, engineers, operations, legal, and privacy partners to align on ML requirements, de-risk design decisions, and gather requirements on explainability and compliance.
• Hands-on develop, evaluate, and ship ML models and data pipelines at scale—batch and real-time, structured and unstructured—using Airbnb’s paved-path tooling and AI native mindset
• Prototype and iterate quickly: turn a new idea into a working model in a prototype, get early signals from an experiment, then productionize what works. You move fast and don’t wait to be asked.
• Present findings and proposals at team reviews and to technical, product, and executive stakeholders—making complex ML results legible without dumbing them down, and generating conviction on the roadmap ahead.
• Stay current with the research community; draw on state-of-the-art advances in recommendation systems, LLMs, and personalization to raise the bar for what the team ships. Occasionally publish externally or present at conferences to advance Airbnb’s scientific standing.

Senior Data Scientist, Guest Travel Insurance – Algorithms

Business Operations

• Lead the strategic development and execution of highly scalable programs across multiple jurisdictions, effectively communicating outcomes and insights to senior leadership.
• Build and maintain program management frameworks that ensure measurable outcomes, sustainable operations, and readiness to meet evolving legal requirements while ensuring Airbnb’s obligations are met with excellence.
• Translate emerging regulatory trends, data, and cross-functional inputs into actionable business strategies for senior leadership.
• Influence cross-functional roadmaps and corporate strategy through deep expertise in regulatory frameworks.
• Drive high-impact strategic projects aimed at enhancing efficiency and effectiveness while also aligning with broader business goals.
• Analyze data to identify trends, surface anomalies, and perform the necessary investigation

Programs and Business Operations Lead, Cities

Operations

• Accountable and responsible for the holistic performance of a partner or service or language
• Enable and oversee a strong operational environment for your partners and services and ensure high quality support for the community from your partners
• Set up for success your partner / service to deliver exceptional quality support to our community
• Prioritise high impact focus areas with your partner/service in line with the company strategy
• Actively work with core internal functions such as Quality, Workforce planning, Training to understand insights on performance and based on them, action within your partner / service
• Act as a single point of contact, representing your partner / service across Delivery and CS
• Present & report up on performance & progress to leadership across Delivery and CS
• Hold partners accountable for the delivery of Airbnb goals
• Own end to end the operationalization and successful adoption of new initiatives, projects and changes that impact your partner or service or language
• Input collectively with other ROMs to Sr Management and into the global delivery business reviews to provide a complete performance narrative to our leadership
• Collaborate with your peers to ensure consistency & scalability in Global Delivery
• Identify and drive partner and service level continuous improvement opportunities that enhance performance, both day to day tactical and strategic forward looking
• Collect feedback and be the voice of our community and partners to improve performance and optimize processes for the partner, service and global community
• Collaborate with internal function such as BPI, PMO, Product on the launch of initiatives, projects and changes to bring improvements to your partner or service and mitigate potential risks

Partner Operations Manager

Financial Planning and Analysis

• Support strategy discussions on spend allocation &amp; pacing between Finance and Marketing leadership
• Partner with Financial Operations to track Marketing media and production budgets in order to inform strategic allocations
• Establish KPI framework for marketing channels and campaigns. Set and monitor KPI targets, OKRs, and efficiency goals
• Develop ROI calculation methodologies with DS and Research, and lead holistic campaign reviews - accounting for qualitative and quantitative impacts
• Support weekly reporting needs from Marketing and Hosting orgs as well as quarterly campaign performance reviews
• Conduct deep dives into business trends and drivers of variance. Independently lead data extraction, analysis, visualization, and presentation.
• Partner with Marketing, Product Marketing and Hosting leadership to develop strategy and support business performance

Senior Principal, Marketing Strategic Finance – Analytics

Affiliate Manager

• Own the full relationship with a portfolio of Tier 1 connectivity partners.
• Shape how these partners show up on Airbnb, driving outcomes that matter for hosts, guests, and Airbnb’s business.
• A key contributor to North Star API strategy to develop Joint Business Plans and QBR frameworks.
• Design incentive structures and deal terms to align partner behavior with Airbnb’s strategic objectives.
• Hold a global view of the connectivity partner ecosystem and understand regional nuances.
• Shape partner behavior and build relationships at the C-suite level.
• Drive pricing, availability, and booking strategies.

Senior Connectivity Partner Lead

Communications

• Own positioning and launch communications plans for new features, products and corporate/community updates.
• Establish engagement and business goals for key announcements and campaigns. Work with analysts and data scientists to develop KPI and measurement frameworks.
• Develop campaigns, draft messaging frameworks and positioning decks, and oversee communications execution (including writing, creative, etc).
• Identify key audiences and segments to focus on, and build plans that support these goals.
• Work in partnership with owned one-way and two-way channel owners (Community Center, Resource Center, social, CX, email) to define editorial approach and messaging, then manage campaign-related feedback to the business to inform decision making
• Develop proactive and reactive communications plans
• Work with channel owners to report out on key reach and engagement metrics as well as relevant business metrics. Partner with the ops team to manage & distribute sentiment dashboards, both announcement-specific and ongoing.
• Champion the community and user in all decisions
• Oversee creative collaboration between product design, content strategy, community and marketing teams
• Serve as both an individual contributor and a cross-functional leader

Host Communications Strategy Lead

Program Manager

• Lead complex cross-functional teams and manage multiple programs simultaneously, ensuring successful delivery while navigating ambiguous situations.
• Collaborate closely with executive leadership to establish and maintain strategic alignment, communicate project status, and manage expectations.
• Develop and execute program plans and schedules to achieve targeted performance metrics that align with executive-level expectations.
• Be curious, anticipate and navigate obstacles and skillfully negotiate changes with cross-functional stakeholders at every stage from early concept through to launch.
• Assess business and organization risk to make trade-off recommendations.
• Close the loop - track and measure your outcomes and adapt and learn quickly from failure.
• Champions CS Program Management Office (PMO) defined ways of working to drive intended outcomes and provide transparency.
• Independently produces and revises documents and presentations that are executive ready.

Program Manager, Community Support

Manager

• Serve as the primary liaison between Platform Management, Technical Program Management, Engineering, Testing, and Operations ensuring clear, consistent communication and shared alignment across all workstreams for each release.
• Maintain accurate source-of-truth trackers and documentation so every stakeholder has what they need, when they need it
• Create and maintain release management best practices.
• Define, track, and report on key release health and operational metrics ensuring releases are delivered on schedule and meet defined success criteria.
• Surface issues, risks, and regional nuances before launch, and rally cross-functional partners to diagnose, escalate, and resolve issues.
• Work independently alongside stakeholders and cross-functional leadership maintaining rigorous oversight of release readiness and proactively mitigating blockers.
• Facilitate the official go/no-go decisions owning the acceptance criteria and process to greenlight each release.
• Partner with Operations/Training to ensure agents are prepared for new tooling.
• Own post-launch monitoring and retrospectives by tracking adoption, surfacing issues post-release, and running retrospectives to drive improvements

Senior Release Manager, CS Platform

• Support foreign currency hedging programs – monitor, net, settle, and report on open hedge positions
• Continually look to optimize processes, controls, and reporting within the Treasury Management System (Kyriba)
• Support corporate debt activities and related compliance
• Manage Airbnb’s Letter of Credit program and track/process related fees and expenses
• Respond to inquiries and partner regularly with accounting, tax, legal, and AP teams; investigate and resolve exceptions in a timely manner
• Urgently action new entity and account opening processes
• Handle ad-hoc Treasury projects and presentations to broader team or management
• Maintain operating audit compliance and contribute to effective control environment
• Recommend and lead AI integration regarding automation and process improvement efforts
• Work closely with banking partners to track interest rates and interest income

Senior Analyst, Treasury Operations

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.
• Example projects include: feature platform, model interpretability, hyperparameter optimization, concept drift detection.

Staff Machine Learning Engineer, Relevance and Personalization

• Represent your region & team – Consistently track, develop & present your region’s wins, worries and blockers to cross-functional stakeholders & leadership, with a strong POV. Proactively lead the solution for any blockers for cross-functional teams to consider. Triage & represent team & host needs to achieve quarterly & annual objectives & KPIs.
• Lead Regional Growth: Leads a regionally distributed team of territory or market-based Supply Managers that work daily to retain Experience Hosts and expand Host availability on the platform, leading to GMV growth in-market.
• Portfolio Optimization: Delivers the right mix of Experience supply, in the right markets, at the right quality levels and the right pricing across all tiers of Experiences.
• Optimization & Retention Leadership – Set the tone, pace & strategy for account management in your region. Arm, motivate & enable the team to orient hosts through their first 6-12 months on-platform, ensuring that the team is equipped to coach hosts with technical, optimization and growth best practices (e.g. pricing, run-of-show). Be accountable for regional optimization & retention KPIs.
• Communication & Collaboration – Provide regular project and regional updates & actionable feedback to cross-functional leads. Size issues & collaborate with peers, leadership and cross-functional stakeholders to creatively problem-solve.
• Tracking & Reporting – Develop data & tracking systems for your region. Ensure 100% accurate data hygiene across all tooling and leadership updates. Report out on both positive & negative performance trends, with a solution-oriented mindset. Ensure that the team stays up-to-date on best-practices, tooling updates & team trainings.
• Quality & Alignment to Brand Vision – Ensure that your region’s sourced supply meets the quality bar to deliver against the Experiences vision. Align your region’s leads with taste and quality measures set forth by cross-functional stakeholders.

Senior Manager, Market Management – AMER

Analyst

• Own the analytics roadmap for Guest Engagement — define what to measure, what to test, and where the biggest opportunities lie across the full guest lifecycle.
• Design and analyze experiments at scale across abandon journeys, demand gen ML model rollouts, and placement-level A/B tests.
• Surface proactive insights that go beyond reporting — user segmentation, funnel analysis, fatigue signals, channel optimization — and translate them into strategic recommendations for Director-level marketing leaders.
• Build scalable, self-serve reporting that empowers partners and frees AA capacity for higher-leverage work.
• Collaborate cross-functionally with MarTech DS on ML model feedback loops and attribution, with SF&A on goal methodology, and with India-based analytics resources on operational reporting.

Staff Advanced Analyst, Guest Engagement

Full-stack Engineer

• Contribute to cross-team initiatives that drive measurable impact on conversion and payment economics
• Working with cross-functional partners on Product and Design to triage, scope, and evaluate feasibility of proposed features and functionality
• Contribute to quality initiatives that reduce defect rates, improve incident detection, and strengthen response processes
• Being a collaborative teammate that can help elevate the rest of the engineering organization