
Airbnb · United States
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 b...
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million
hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique
stays and experiences that make it possible for guests to connect with communities in a more authentic way.
chat, or social media channels. The group handles hundreds of issues across categories including Cancellations, Account Issues,
Refunds, Payments, Reservations, Extenuating Circumstances, Booking & Listing issues, Safety & Claims. The organization is
globally distributed with offices in San Francisco, Dublin, Montreal, Seattle, Singapore, Manila, Gurgaon and an extensive
partner network serving all regions.
risk narratives for Community Support — translating investigative findings, AI/ML model outputs, operational signals, and
emerging threats into decisions and actions that protect Airbnb.
complementary unit: you will ensure that investigative outcomes are contextualized within the broader risk ecosystem —
informing risk appetite decisions, shaping detection strategy, and driving remediation accountability. You will co-own
escalation frameworks, jointly challenge detection model effectiveness, and ensure that the feedback loop between
investigations, risk governance, and AI-driven detection is robust and continuously improving.
when investigations, incidents, or risk assessments reveal structural vulnerabilities, those root causes do not languish in a
findings log but are tracked, assigned, resourced, and driven to completion across the organization. This requires the
discipline of program management combined with the authority and influence to hold cross-functional teams accountable for
closing gaps.
systems that touch Community Support — leading governance and discussions of the implications of deploying AI in high-stakes
decision-making environments. This is not a technical role; it is a role that requires you to ask the right questions of
technical teams, interpret outputs with skepticism, and ensure that AI-driven processes are governed with the same rigor as
human-driven ones.
time. We are looking for someone with the drive to build something from nothing and push for growing excellence.
is not a documentation exercise; it requires continuous negotiation with senior leaders and cross-functional partners to
calibrate organizational tolerance in a rapidly changing threat environment.
whether risk scores reflect reality, identify risks that automated systems miss entirely (e.g., emergent social engineering
tactics, regulatory shifts, insider collusion patterns), and ensure accountability for remediation.
hypotheses. Critically evaluate whether existing KRIs remain meaningful or whether they have become stale proxies that create
false confidence.
interrogating model assumptions and sources of risk.
assumptions are pressure-tested by diverse stakeholders, not simply ratified.
contextualized, and integrated into risk governance. Your role is to provide the strategic risk lens — asking: What does this
pattern of findings tell us about our risk posture? Where are our blind spots? What should we investigate that we are not?
that escalation criteria evolve as threat actors adapt, and that protocols account for edge cases that automated triage systems
cannot handle.
pattern? Does this reveal a control gap? Does this change our risk appetite?
intelligence, KRI trends, and organizational risk appetite rather than solely on case volume or severity scores.
inform detection improvements, and that detection model performance is tracked, challenged, and reported as part of the broader
risk posture.
investigations, incidents, postmortems, risk assessments, or AI model failures) through to verified remediation and closure.
This is not an analytical exercise alone; it is a program management discipline that requires tracking, accountability, and
sustained cross-functional pressure.
clear ownership, defines resolution milestones and deadlines, and provides real-time visibility into remediation progress.
Ensure this tracker is reviewed at regular governance cadences and escalated when timelines slip.
advocate for structural solutions — even when they are harder, slower, or require investment from teams outside CS. Escalate to
senior leadership when organizational inertia prevents meaningful remediation.
plans are resourced, sequenced, and executed. Hold workstream owners accountable through regular status reviews, blockers
identification, and executive escalation where necessary.
risk. If a root cause was "resolved" but the same pattern reappears, re-open the issue and drive a deeper investigation into
why the fix failed.
causes inform risk scoring, KRI design, and strategic risk priorities. If the same category of root cause keeps surfacing, that
is a signal that the risk framework itself needs adjustment.
resolution, aging items, recurrence rates, and cross-functional accountability. Make this a standing component of executive
risk reporting.
what decisions are required, and what trade-offs are at stake. This requires the ability to synthesize ambiguous, incomplete,
and sometimes contradictory signals into a coherent story under time pressure.
metrics and advocate for indicators that reflect actual risk exposure.
these thresholds are calibrated to real-world conditions rather than historical baselines that may no longer apply.
recommendations — bridging the gap between technical teams and executive decision-makers.
in silos. This requires relationship-building, political navigation, and the credibility to challenge peers and senior leaders.
misalignments, and process design flaws that create risk. Ensure findings from these reviews feed directly into the root cause
resolution program.
evaluated through a risk lens before launch, not after failure.
This means influencing behavior, not just writing policies.
challenge data, and communicate effectively with senior stakeholders.
teams, including an understanding of AI risks and limitations.
contribute to the continuous evolution of the risk program.
equivalent practical experience.
building and evolving risk frameworks, registries, and reporting programs (not just maintaining them).
resolution efforts from identification through verified closure.
investigative findings translate into enterprise risk intelligence and governance action.
must be able to critically assess model assumptions, failure modes, bias risks, and governance requirements. Experience
challenging technical teams on AI outputs and driving human-in-the-loop governance is essential.
recommendations for executive audiences. If your strength is compiling data rather than interpreting it, this is not the right
role.
navigating ambiguity, and influencing senior leaders without direct authority.
baselines, and consensus assumptions.
and cost.
involvement in governing AI systems in operational environments.
assurance.
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as
agreed to with your manager. Airbnb,Inc. can employ in states where we have registered entities. Currently, employees can not be
located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware and
Rhode Island. This list is continuously evolving and being updated, please check back with us if the state you live in is on the
exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible
to work from.
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement,
and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals
are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and
require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.
Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting
process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online
application.
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training,
transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be
modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Community Support org handles tens of millions of interactions yearly, engaging with Airbnb customers by phone, messaging, chat, or social media channels. The group handles hundreds of issues across categories including Cancellations, Account Issues, Refunds, Payments, Reservations, Extenuating Circumstances, Booking & Listing issues, Safety & Claims. The organization is globally distributed with offices in San Francisco, Dublin, Montreal, Seattle, Singapore, Manila, Gurgaon and an extensive partner network serving all regions. The Difference You Will Make: We are looking for a seasoned Forecasting and Demand Planning Analyst on our Community Support (CS) team. This individual is responsible for demand forecasting and long-term planning across multi-channel contact center operations for our Global Operations team. This role ensures the organization has the right resources, at the right time, with the right skills to meet service level objectives while optimizing cost and productivity. The role combines planning, advanced analytics and business partnership to drive scalable, data-driven workforce decisions in a complex, fast-changing environment. A Typical Day: Demand Forecasting & Statistical Modeling * Own short-term, mid-term, and long-term demand forecasting across all Global Operations teams and channels (phone, messaging, email, back-office etc.). * Design, develop, and maintain statistically robust demand forecasting models using time series and machine learning techniques (e.g., exponential smoothing, ARIMA, regression-based models etc.). * Perform trend, seasonality, and variance decomposition; detect structural breaks, outliers, and demand anomalies. * Quantify forecast uncertainty through confidence intervals, error distributions, and bias analysis. * Perform scenario modeling for peak demand periods, product launches, growth initiatives, and unplanned demand events. * Continuously assess model performance using statistical accuracy metrics (MAPE, RMSE, MAE, bias etc). * Establish model governance standards, including documentation, validation, back-testing, and post-mortem analysis. * Research, prototype, and implement new forecasting and optimization techniques as business needs evolve. * Perform scenario planning and sensitivity analysis to quantify trade-offs between service levels, cost, and utilization. Advanced Analytics * In partnership with the Analytics and Data Engineering team, design and build scalable planning data pipelines, dashboards, and automate forecasting and capacity models to improve scalability, repeatability, and timeliness. * Use SQL and Python to extract, transform, and analyze large-scale operational datasets to monitor forecast accuracy, capacity gaps, utilization, and operational risk. Decision Support & Stakeholder Communication * Present forecast assumptions, methodologies, risks, trade-offs, and recommendations in clear, executive-ready formats and act as a trusted advisor to senior leadership and participate in demand/capacity planning discussions in cross-functional forums. * Align cross-functional stakeholders (Delivery, Product, Finance, HR, and others) to embed planning outputs into execution and operational decision-making. * Identify and implement process improvements, automation, and best practices in the demand and capacity planning area to optimize cost while maintaining or improving customer experience and service-level outcomes. Your Expertise: * 10+ years of experience in demand forecasting, capacity planning, workforce analytics, or applied analytics. * Bachelor’s degree in Mathematics, Statistics, Operations Research, Engineering, Economics, Data Science, or a related quantitative field. * Strong foundation in probability, statistics, and optimization. * Hands-on experience building and validating forecasting models (time series analysis, exponential smoothing, ARIMA, regression, hypothesis testing) and capacity models (Erlang, queueing theory, service-level and utilization modeling). * Strong understanding of contact center metrics (AHT, ASA, service level, shrinkage, occupancy); experience supporting large-scale, multi-site, or global contact center environments preferred. * Advanced analytical skills with strong proficiency in Excel, Google Sheets, SQL, Python and data visualization tools such as Tableau. * Experience with WFM tools (e.g., NICE, Verint, Aspect) or planning platforms (e.g., Anaplan) preferred. * Strong business acumen with the ability to balance cost efficiency and customer experience outcomes. * Excellent communication, executive presentation, and stakeholder influence skills; ability to explain complex analytical concepts to non-technical audiences. * Comfortable operating in fast-paced, ambiguous, and highly dynamic environments. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $168,000—$210,000 USD
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Community Support org handles tens of millions of interactions yearly, engaging with Airbnb customers by phone, messaging, chat, or social media channels. The group handles hundreds of issues across categories including Cancellations, Account Issues, Refunds, Payments, Reservations, Extenuating Circumstances, Booking & Listing issues, Safety & Claims. The organization is globally distributed with offices in San Francisco, Dublin, Montreal, Seattle, Singapore, Manila, Gurgaon and an extensive partner network serving all regions. The Difference You Will Make: We are looking for a Senior Manager for Demand Planning on our Community Support (CS) team. This leader is responsible for leading demand forecasting and long-term planning strategy across multi-channel contact center operations for our Global Operations team. This role ensures the organization has the right resources, at the right time, with the right skills to meet service level objectives while optimizing cost and productivity. The role combines planning, advanced analytics, business partnership, and people leadership to drive scalable, data-driven workforce decisions in a complex, fast-changing environment. A Typical Day: Demand Forecasting & Statistical Modeling * Own short-term, mid-term, and long-term demand forecasting across all Global Operations teams and channels (phone, messaging, email, back-office etc.). * Design, develop, and maintain statistically robust demand forecasting models using time series and machine learning techniques (e.g., exponential smoothing, ARIMA, regression-based models etc.). * Perform trend, seasonality, and variance decomposition; detect structural breaks, outliers, and demand anomalies. * Quantify forecast uncertainty through confidence intervals, error distributions, and bias analysis. * Lead scenario modeling for peak demand periods, product launches, growth initiatives, and unplanned demand events. * Continuously assess model performance using statistical accuracy metrics (MAPE, RMSE, MAE, bias etc). * Establish model governance standards, including documentation, validation, back-testing, and post-mortem analysis. * Research, prototype, and implement new forecasting and optimization techniques as business needs evolve. * Perform scenario planning and sensitivity analysis to quantify trade-offs between service levels, cost, and utilization. Advanced Analytics * In partnership with the Analytics and Data Engineering team, design and build scalable planning data pipelines, dashboards, and automate forecasting and capacity models to improve scalability, repeatability, and timeliness. * Use SQL and Python to extract, transform, and analyze large-scale operational datasets to monitor forecast accuracy, capacity gaps, utilization, and operational risk. Decision Support & Stakeholder Communication * Present forecast assumptions, methodologies, risks, trade-offs, and recommendations in clear, executive-ready formats and act as a trusted advisor to senior leadership and lead demand/capacity planning discussions in cross-functional forums. * Align cross-functional stakeholders (Delivery, Product, Finance, HR, and others) to embed planning outputs into execution and operational decision-making. * Identify and implement process improvements, automation, and best practices in the demand and capacity planning area to optimize cost while maintaining or improving customer experience and service-level outcomes. People Leadership * Lead, mentor, and develop planning analysts in quantitative methods, statistical rigor, and coding best practices. * Review and approve forecasting and capacity models for accuracy, scalability, and business relevance. * Set clear goals, high performance expectations, and career development paths for the team. * Foster a culture of data-driven decision-making, accountability, and continuous improvement. Your Expertise: * 12+ years of experience in demand forecasting, capacity planning, workforce analytics, or applied analytics. * 5+ years of people management experience. * Bachelor’s degree in Mathematics, Statistics, Operations Research, Engineering, Economics, Data Science, or a related quantitative field. * Strong foundation in probability, statistics, and optimization. * Hands-on experience building and validating forecasting models (time series analysis, exponential smoothing, ARIMA, regression, hypothesis testing) and capacity models (Erlang, queueing theory, service-level and utilization modeling). * Strong understanding of contact center metrics (AHT, ASA, service level, shrinkage, occupancy); experience supporting large-scale, multi-site, or global contact center environments preferred. * Advanced analytical skills with strong proficiency in Excel, Google Sheets, SQL, Python and data visualization tools such as Tableau. * Experience with WFM tools (e.g., NICE, Verint, Aspect) or planning platforms (e.g., Anaplan) preferred. * Strong business acumen with the ability to balance cost efficiency and customer experience outcomes. * Excellent communication, executive presentation, and stakeholder influence skills; ability to explain complex analytical concepts to non-technical audiences. * Comfortable operating in fast-paced, ambiguous, and highly dynamic environments. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $204,000—$255,000 USD
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Community Support org handles tens of millions of interactions yearly, engaging with Airbnb customers by phone, messaging, chat, or social media channels. The group handles hundreds of issues across categories including Cancellations, Account Issues, Refunds, Payments, Reservations, Extenuating Circumstances, Booking & Listing issues, Safety & Claims. The organization is globally distributed with offices in San Francisco, Dublin, Montreal, Seattle, Singapore, Manila, Gurgaon and an extensive partner network serving all regions. The Difference You Will Make: We are seeking an experienced Business Operations Manager to lead and advance Airbnb's global goodwill strategy, a high-impact role sitting at the intersection of business strategy, financial stewardship, and customer experience. Reporting to the Director of Global Community Support Business Operations, you will design and lead a global goodwill program, driving its continued evolution and operational excellence across our Global Community Support organization. You will be accountable for budget adherence and operational expense targets, ensuring the program consistently delivers meaningful impact in alignment with Airbnb's business and financial goals. The ideal candidate is a strategic thinker and excellent collaborator with the ability to translate complex data into actionable business insights. You will engage regularly with senior and executive stakeholders, communicating program performance, strategic direction, and key outcomes with clarity and confidence. This role offers a unique opportunity to shape how Airbnb shows up for its global community at scale, driving a program that is both commercially disciplined and deeply human in its impact. A Typical Day: * Strategic Program Design, Optimization and Implementation: Create the end-to-end Goodwill program inclusive of designing the program strategy, creating the operational design and implementation frameworks as well as driving all monitoring and optimization efforts. * Be the main point of contact driving core product and policy initiatives related to how we extend goodwill to customers. * Strategic Operations: Define and lead strategy and roadmap for the CS Goodwill Program, balancing priorities against business and financial goals. Drive all change management and continuous improvement initiative efforts across the global footprint. * Create an operational management system: Build an operating management system to track program performance across a global network of partner sites. * Continuous improvement and Innovation: Drive a culture of continuous operational improvement through continuously fine tuning the goodwill program initiatives and practices. * Establish program success criteria: Establish Metrics to measure the success of the good will initiatives and continuously tune the initiatives to improve customer satisfaction and meet financial targets. * Business and financial management: Drive the Goodwill budget targeting process in partnership with finance to ensure the proper budget target setting and adherence. * Monitoring and Reporting Program health: Report out on the operational effectiveness of the Goodwill programs across a global business using data driven insights and decision making. * Risk Management: Assess and mitigate risks associated with goodwill practices, ensuring that all goodwill strategies comply with business policies. Report on usage audits with tight collaboration with key partners across Delivery, Analytics and Finance. * Stakeholder Management: Liaise with Community Support teams to implement and monitor goodwill programs. Provide leadership program performance health readouts. * Cross-functional Collaboration: A proven track record of managing programs across outsourced partnerships through collaboration with multiple cross functional teams including Service Delivery, Partner Strategy, Trust, Legal, Product Management, Finance and Analytics. Able to instill accountability and discipline, rigor, and process throughout an organization. * Drive communication and rollout plan: Collaborate closely with stakeholders to communicate the program strategy and ensure tight rollout globally to all sites as well as ensure effective governance for all goodwill initiatives. * Drive Implementation and process optimization for the Goodwill program: Experience driving a global goodwill program inclusive of setting all operational milestones and success criteria in order to meet the organization's customer experience expectations and financial budget targets. Your Expertise: * 10+ years experience managing large scale operations and strategy in roles with increasing responsibility. * Experience with process design and optimization, strategic operations and customer support strategies. * Experience working in global/matrixed environment with the ability to solve problems and influence cross-functional teams. * Executive presentation skills with the ability to develop a strategy, communicate it clearly and get buy-in and support to execute. * Excellent stakeholder management skills - including proven experience working with senior leaders on global programs. * Outstanding written and verbal communication and presentation skills; ability to articulate a vision, strategy, ideas and decisions clearly and succinctly. * Proven experience in a role requiring high-attention to detail and organization skills with a proven track record of leading/driving results at scale. * Ability to thrive in ambiguity in a fast-paced, hyper-growth organization. * Strong analytical and problem-solving skills with a proven track record for using data to develop and implement strategic initiatives and drive key business decisions. * Proficiency in leveraging AI tools and technologies to drive operational efficiency, enhance decision-making and scale program outcomes. * Experience using SQL, Python and/or Tableau is preferred. * Operations, Management Consulting or Financial/analytics background preferred. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $168,000—$210,000 USD