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Airbnb Inc.
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  • Remote Senior Systems Engineer, BizTech  

    - East Baton Rouge Parish
    Airbnb was born in 2007 when two hosts welcomed three guests to their... Read More
    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 world is changing how it works; not just in where we do it, but in how fast and how well we can do it. Airbnb has already shown that we can move with speed and intention. We navigated a pandemic, rebuilt our company from the ground up, had a successful IPO, and shipped product upgrades – all while working remotely. That experience didn't just change where we work. It changed what we believe is possible. Now, a new shift is underway. AI is fundamentally changing the leverage available to every team – compressing timelines, breaking down traditional job description silos, raising the ceiling on quality, and enabling small, focused groups to accomplish what once required much larger ones. At Airbnb, we are not treating AI as a future consideration. We are moving fast to embed it into how we operate today – using it to multiply the impact of every employee, every system, and decisions we make every day. The companies and teams that embrace this shift with urgency and discipline will define what's possible in the years ahead. We intend to be one of them. Collaboration Products The Collaboration Products team owns the enterprise systems that Airbnb's workforce relies on to plan, build, and deliver — including our Atlassian ecosystem, AI-powered tooling integrations, and custom-built engineering platforms. Our mission goes beyond keeping the lights on. We are moving fast to modernize our stack, retire technical debt, and integrate AI capabilities that directly multiply the productivity and quality of the teams we serve. We build with urgency, operate with rigor, and treat every system we touch as an opportunity to raise the bar on what BizTech delivers to Airbnb. The Difference You Will Make: The Senior Systems Engineer is a hands-on technical leader who moves fast, builds to last, and uses AI as a force multiplier — not a future initiative. In this role, you will own the configuration, migration, and continuous improvement of Airbnb's Atlassian platforms, including leading the active deprecation of Jira Data Center and full transition to Jira Cloud. But your impact goes beyond administration. You will identify where AI and automation can compress delivery cycles, reduce toil, and improve the quality and reliability of the systems our workforce depends on — and then build those improvements, quickly. You bring the platform depth to architect scalable solutions and the judgment to know when to move fast and when to be deliberate. You are the kind of engineer who raises the velocity and quality of everyone around you. A Typical Day: Serve as the primary SME and hands-on administrator for JiraCloud Software, JiraCloud Service Management (JSM), and associated Atlassian tooling; own configuration standards, governance, and technical debt reduction across the environment Architect and implement scalable Jira configurations including custom workflows, issue type hierarchies, permission schemes, notification schemes, screens, and field configurations aligned with Atlassian best practices Lead and execute Jira migrations - including Data Center to Cloud - coordinating with cross-functional stakeholders to deliver seamless cutover experiences Design and configure Jira Service Management projects including SLAs, custom queues, JSM Forms, approval workflows, and security schemes to support internal service delivery teams Build and maintain advanced analytics, dashboards, and reporting solutions using native tooling for Jira Cloud as a first line of options; Airbnb has elected to avoid Atlassian Marketplace products for information security, privacy evaluate emerging AI/ML capabilities within the Atlassian ecosystem and champion responsible, contextually appropriate AI adoption aligned with Airbnb's mission Write and maintain custom automation rules using Jira's native Automation engine and JavaScript; leverage Jira REST API for integrations, data imports, and custom reporting Lead User Acceptance Testing (UAT) efforts for platform changes and migrations; develop and maintain test plans, test scripts, and defect tracking documentation Facilitate Agile ceremonies (sprint planning, retrospectives, standups) as needed; operate as Scrum Master or Product Owner for platform-focused workstreams Document system configurations, runbooks, and knowledge base articles to support operational continuity and enable self-service across the organization Participate in on-call rotation and provide escalation support for critical Atlassian platform issues Your Expertise: 7+ years of hands-on Atlassian administration experience, including Jira Software, Jira Service Management (across JiraCloud strong command of JQL for filters, subscriptions, dashboards, and board configuration Proven experience leading Jira migrations (Data Center to Cloud), including project configuration migration, macro compatibility, and data integrity validation Experience configuring and administering Jira Cloud native tooling for capacity planning and portfolio reporting Proficiency with Atlassian Marketplace plugins including JavaScripting Hands-on experience with Jira REST API using tools like Postman (GET/PUT/POST) for data extraction, integration, and custom reporting workflows Experience integrating Atlassian tools with identity providers via LDAP familiarity with user lifecycle management, license governance, and security hardening practices Working knowledge of Atlassian Rovo and AI/ML capabilities within the Atlassian ecosystem; ability to configure Rovo agents with careful consideration for AI ethics, value alignment, and contextual appropriateness Experience configuring Jira Automation rules (native and scripting-based); working knowledge of JavaScripting and JSON for custom automation Strong background in Jira Service Management including SLA configuration, JSM Forms, custom queues, and approval workflows Experience leading UAT for complex migrations and platform changes; proficiency in developing and executing test plans, test scripts, and defect documentation Familiarity with SAFe Agile (SAFe Agilist and/or SAFe Scrum Master certification a plus); experience as Scrum Master or Product Owner for technical workstreams Strong analytical and communication skills with a demonstrated ability to translate complex technical concepts for both technical and non-technical stakeholders Experience working in a remote-first, high-growth environment; ability to independently manage multiple priorities and keep stakeholders informed Familiarity with complementary enterprise tools such as Slack, Asana, Figma, Airtable, and Miro is an advantage 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 Read Less
  • Remote Senior Systems Engineer, BizTech  

    - Hamilton County
    Airbnb was born in 2007 when two hosts welcomed three guests to their... Read More
    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 world is changing how it works; not just in where we do it, but in how fast and how well we can do it. Airbnb has already shown that we can move with speed and intention. We navigated a pandemic, rebuilt our company from the ground up, had a successful IPO, and shipped product upgrades – all while working remotely. That experience didn't just change where we work. It changed what we believe is possible. Now, a new shift is underway. AI is fundamentally changing the leverage available to every team – compressing timelines, breaking down traditional job description silos, raising the ceiling on quality, and enabling small, focused groups to accomplish what once required much larger ones. At Airbnb, we are not treating AI as a future consideration. We are moving fast to embed it into how we operate today – using it to multiply the impact of every employee, every system, and decisions we make every day. The companies and teams that embrace this shift with urgency and discipline will define what's possible in the years ahead. We intend to be one of them. Collaboration Products The Collaboration Products team owns the enterprise systems that Airbnb's workforce relies on to plan, build, and deliver — including our Atlassian ecosystem, AI-powered tooling integrations, and custom-built engineering platforms. Our mission goes beyond keeping the lights on. We are moving fast to modernize our stack, retire technical debt, and integrate AI capabilities that directly multiply the productivity and quality of the teams we serve. We build with urgency, operate with rigor, and treat every system we touch as an opportunity to raise the bar on what BizTech delivers to Airbnb. The Difference You Will Make: The Senior Systems Engineer is a hands-on technical leader who moves fast, builds to last, and uses AI as a force multiplier — not a future initiative. In this role, you will own the configuration, migration, and continuous improvement of Airbnb's Atlassian platforms, including leading the active deprecation of Jira Data Center and full transition to Jira Cloud. But your impact goes beyond administration. You will identify where AI and automation can compress delivery cycles, reduce toil, and improve the quality and reliability of the systems our workforce depends on — and then build those improvements, quickly. You bring the platform depth to architect scalable solutions and the judgment to know when to move fast and when to be deliberate. You are the kind of engineer who raises the velocity and quality of everyone around you. A Typical Day: Serve as the primary SME and hands-on administrator for JiraCloud Software, JiraCloud Service Management (JSM), and associated Atlassian tooling; own configuration standards, governance, and technical debt reduction across the environment Architect and implement scalable Jira configurations including custom workflows, issue type hierarchies, permission schemes, notification schemes, screens, and field configurations aligned with Atlassian best practices Lead and execute Jira migrations - including Data Center to Cloud - coordinating with cross-functional stakeholders to deliver seamless cutover experiences Design and configure Jira Service Management projects including SLAs, custom queues, JSM Forms, approval workflows, and security schemes to support internal service delivery teams Build and maintain advanced analytics, dashboards, and reporting solutions using native tooling for Jira Cloud as a first line of options; Airbnb has elected to avoid Atlassian Marketplace products for information security, privacy evaluate emerging AI/ML capabilities within the Atlassian ecosystem and champion responsible, contextually appropriate AI adoption aligned with Airbnb's mission Write and maintain custom automation rules using Jira's native Automation engine and JavaScript; leverage Jira REST API for integrations, data imports, and custom reporting Lead User Acceptance Testing (UAT) efforts for platform changes and migrations; develop and maintain test plans, test scripts, and defect tracking documentation Facilitate Agile ceremonies (sprint planning, retrospectives, standups) as needed; operate as Scrum Master or Product Owner for platform-focused workstreams Document system configurations, runbooks, and knowledge base articles to support operational continuity and enable self-service across the organization Participate in on-call rotation and provide escalation support for critical Atlassian platform issues Your Expertise: 7+ years of hands-on Atlassian administration experience, including Jira Software, Jira Service Management (across JiraCloud strong command of JQL for filters, subscriptions, dashboards, and board configuration Proven experience leading Jira migrations (Data Center to Cloud), including project configuration migration, macro compatibility, and data integrity validation Experience configuring and administering Jira Cloud native tooling for capacity planning and portfolio reporting Proficiency with Atlassian Marketplace plugins including JavaScripting Hands-on experience with Jira REST API using tools like Postman (GET/PUT/POST) for data extraction, integration, and custom reporting workflows Experience integrating Atlassian tools with identity providers via LDAP familiarity with user lifecycle management, license governance, and security hardening practices Working knowledge of Atlassian Rovo and AI/ML capabilities within the Atlassian ecosystem; ability to configure Rovo agents with careful consideration for AI ethics, value alignment, and contextual appropriateness Experience configuring Jira Automation rules (native and scripting-based); working knowledge of JavaScripting and JSON for custom automation Strong background in Jira Service Management including SLA configuration, JSM Forms, custom queues, and approval workflows Experience leading UAT for complex migrations and platform changes; proficiency in developing and executing test plans, test scripts, and defect documentation Familiarity with SAFe Agile (SAFe Agilist and/or SAFe Scrum Master certification a plus); experience as Scrum Master or Product Owner for technical workstreams Strong analytical and communication skills with a demonstrated ability to translate complex technical concepts for both technical and non-technical stakeholders Experience working in a remote-first, high-growth environment; ability to independently manage multiple priorities and keep stakeholders informed Familiarity with complementary enterprise tools such as Slack, Asana, Figma, Airtable, and Miro is an advantage 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 Read Less
  • Remote Senior Systems Engineer, BizTech  

    - Collin County
    Airbnb was born in 2007 when two hosts welcomed three guests to their... Read More
    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 world is changing how it works; not just in where we do it, but in how fast and how well we can do it. Airbnb has already shown that we can move with speed and intention. We navigated a pandemic, rebuilt our company from the ground up, had a successful IPO, and shipped product upgrades – all while working remotely. That experience didn't just change where we work. It changed what we believe is possible. Now, a new shift is underway. AI is fundamentally changing the leverage available to every team – compressing timelines, breaking down traditional job description silos, raising the ceiling on quality, and enabling small, focused groups to accomplish what once required much larger ones. At Airbnb, we are not treating AI as a future consideration. We are moving fast to embed it into how we operate today – using it to multiply the impact of every employee, every system, and decisions we make every day. The companies and teams that embrace this shift with urgency and discipline will define what's possible in the years ahead. We intend to be one of them. Collaboration Products The Collaboration Products team owns the enterprise systems that Airbnb's workforce relies on to plan, build, and deliver — including our Atlassian ecosystem, AI-powered tooling integrations, and custom-built engineering platforms. Our mission goes beyond keeping the lights on. We are moving fast to modernize our stack, retire technical debt, and integrate AI capabilities that directly multiply the productivity and quality of the teams we serve. We build with urgency, operate with rigor, and treat every system we touch as an opportunity to raise the bar on what BizTech delivers to Airbnb. The Difference You Will Make: The Senior Systems Engineer is a hands-on technical leader who moves fast, builds to last, and uses AI as a force multiplier — not a future initiative. In this role, you will own the configuration, migration, and continuous improvement of Airbnb's Atlassian platforms, including leading the active deprecation of Jira Data Center and full transition to Jira Cloud. But your impact goes beyond administration. You will identify where AI and automation can compress delivery cycles, reduce toil, and improve the quality and reliability of the systems our workforce depends on — and then build those improvements, quickly. You bring the platform depth to architect scalable solutions and the judgment to know when to move fast and when to be deliberate. You are the kind of engineer who raises the velocity and quality of everyone around you. A Typical Day: Serve as the primary SME and hands-on administrator for JiraCloud Software, JiraCloud Service Management (JSM), and associated Atlassian tooling; own configuration standards, governance, and technical debt reduction across the environment Architect and implement scalable Jira configurations including custom workflows, issue type hierarchies, permission schemes, notification schemes, screens, and field configurations aligned with Atlassian best practices Lead and execute Jira migrations - including Data Center to Cloud - coordinating with cross-functional stakeholders to deliver seamless cutover experiences Design and configure Jira Service Management projects including SLAs, custom queues, JSM Forms, approval workflows, and security schemes to support internal service delivery teams Build and maintain advanced analytics, dashboards, and reporting solutions using native tooling for Jira Cloud as a first line of options; Airbnb has elected to avoid Atlassian Marketplace products for information security, privacy evaluate emerging AI/ML capabilities within the Atlassian ecosystem and champion responsible, contextually appropriate AI adoption aligned with Airbnb's mission Write and maintain custom automation rules using Jira's native Automation engine and JavaScript; leverage Jira REST API for integrations, data imports, and custom reporting Lead User Acceptance Testing (UAT) efforts for platform changes and migrations; develop and maintain test plans, test scripts, and defect tracking documentation Facilitate Agile ceremonies (sprint planning, retrospectives, standups) as needed; operate as Scrum Master or Product Owner for platform-focused workstreams Document system configurations, runbooks, and knowledge base articles to support operational continuity and enable self-service across the organization Participate in on-call rotation and provide escalation support for critical Atlassian platform issues Your Expertise: 7+ years of hands-on Atlassian administration experience, including Jira Software, Jira Service Management (across JiraCloud strong command of JQL for filters, subscriptions, dashboards, and board configuration Proven experience leading Jira migrations (Data Center to Cloud), including project configuration migration, macro compatibility, and data integrity validation Experience configuring and administering Jira Cloud native tooling for capacity planning and portfolio reporting Proficiency with Atlassian Marketplace plugins including JavaScripting Hands-on experience with Jira REST API using tools like Postman (GET/PUT/POST) for data extraction, integration, and custom reporting workflows Experience integrating Atlassian tools with identity providers via LDAP familiarity with user lifecycle management, license governance, and security hardening practices Working knowledge of Atlassian Rovo and AI/ML capabilities within the Atlassian ecosystem; ability to configure Rovo agents with careful consideration for AI ethics, value alignment, and contextual appropriateness Experience configuring Jira Automation rules (native and scripting-based); working knowledge of JavaScripting and JSON for custom automation Strong background in Jira Service Management including SLA configuration, JSM Forms, custom queues, and approval workflows Experience leading UAT for complex migrations and platform changes; proficiency in developing and executing test plans, test scripts, and defect documentation Familiarity with SAFe Agile (SAFe Agilist and/or SAFe Scrum Master certification a plus); experience as Scrum Master or Product Owner for technical workstreams Strong analytical and communication skills with a demonstrated ability to translate complex technical concepts for both technical and non-technical stakeholders Experience working in a remote-first, high-growth environment; ability to independently manage multiple priorities and keep stakeholders informed Familiarity with complementary enterprise tools such as Slack, Asana, Figma, Airtable, and Miro is an advantage 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 Read Less
  • Airbnb was born in 2007 when two hosts welcomed three guests to their... Read More
    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: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Core ML team in Community Support is the team responsible for adopting the Agentic AI technologies to enable an intelligent, scalable and exceptional customer service experience. We are responsible for developing the Chat AI assistant, Voice AI Assistant and more! The team is constantly exploring the SOTA Agentic architecture, develops and enhances various AI models, ML services and leverages tools including SFT, Reinforcement learning, Distillation, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities. A Typical Day: Champion 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. Your Expertise: PhD or Master's degree w/ 6+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field — or equivalent industry experience Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and LLM evaluation frameworks Experience building Agentic AI systems — including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines (e.g., ReAct, LangGraph, AutoGen, or similar) Experience of shipping production-grade ML/AI systems at scale, with deep understanding of ML infrastructure, model serving, and MLOps best practices Excellent communication skills with the ability to collaborate effectively across Engineering, Product, and Design organizations 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 Read Less
  • Remote Senior Machine Learning Engineer, Customer Support Engineering  

    - District of Columbia
    Airbnb was born in 2007 when two hosts welcomed three guests to their... Read More
    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: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Core ML team in Community Support is the team responsible for adopting the Agentic AI technologies to enable an intelligent, scalable and exceptional customer service experience. We are responsible for developing the Chat AI assistant, Voice AI Assistant and more! The team is constantly exploring the SOTA Agentic architecture, develops and enhances various AI models, ML services and leverages tools including SFT, Reinforcement learning, Distillation, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities. A Typical Day: Champion 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. Your Expertise: PhD or Master's degree w/ 6+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field — or equivalent industry experience Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and LLM evaluation frameworks Experience building Agentic AI systems — including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines (e.g., ReAct, LangGraph, AutoGen, or similar) Experience of shipping production-grade ML/AI systems at scale, with deep understanding of ML infrastructure, model serving, and MLOps best practices Excellent communication skills with the ability to collaborate effectively across Engineering, Product, and Design organizations 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 Read Less
  • Airbnb was born in 2007 when two hosts welcomed three guests to their... Read More
    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: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Core ML team in Community Support is the team responsible for adopting the Agentic AI technologies to enable an intelligent, scalable and exceptional customer service experience. We are responsible for developing the Chat AI assistant, Voice AI Assistant and more! The team is constantly exploring the SOTA Agentic architecture, develops and enhances various AI models, ML services and leverages tools including SFT, Reinforcement learning, Distillation, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities. A Typical Day: Champion 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. Your Expertise: PhD or Master's degree w/ 6+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field — or equivalent industry experience Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and LLM evaluation frameworks Experience building Agentic AI systems — including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines (e.g., ReAct, LangGraph, AutoGen, or similar) Experience of shipping production-grade ML/AI systems at scale, with deep understanding of ML infrastructure, model serving, and MLOps best practices Excellent communication skills with the ability to collaborate effectively across Engineering, Product, and Design organizations 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 Read Less
  • Remote Engineering Manager, Workflow Orchestration  

    - Pinellas County
    Airbnb was born in 2007 when two hosts welcomed three guests to their... Read More
    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 You will join the Workflow Orchestration team within Airbnb's Data Infrastructure org. This team owns the orchestration layer that coordinates, executes, and monitors complex data workflows across batch and streaming domains. Our mission is to empower data engineers, ML teams, analytics, and operational applications with robust, scalable, and observable orchestration platforms and tooling — ensuring that critical business workflows run reliably, efficiently, and transparently. The Difference You Will Make As an Engineering Manager on the Workflow Orchestration team, you will: Lead and grow a high-performing team responsible for designing, implementing, and operating distributed orchestration infrastructure that runs tens of thousands of data workflows daily. Define the long-term technical vision and roadmap for orchestration, aligning to Airbnb's broader Data Infrastructure and Analytics platform strategy. Drive adoption of best-in-class workflow paradigms and tooling across data engineering, reliability, and ML teams, ensuring consistency, performance, and operational excellence. Partner closely with cross-functional teams in Data Platform, Compute, Storage, Analytics, and ML Infrastructure to integrate orchestration capabilities into wider data ecosystems. Coach and mentor engineers, enabling strong technical judgment, clarity of thinking, and ownership across the team. A Typical Day Collaborate with senior engineering leaders to shape multi-year strategies for workflow orchestration and execution platforms. Stay connected to architectural decisions, review designs, and help unblock technical challenges. Partner with product and engineering leaders across Data Infrastructure to prioritize investments that balance reliability, developer experience, and cost. Ensure the team practices strong delivery discipline, operational monitoring, and on-call readiness for critical orchestration infrastructure. Stay up to date with emerging technologies, best practices, and industry trends in data engineering and software development. Recruit top engineering talent and grow the careers of engineers, with a focus on inclusive leadership and psychological safety. What You'll Need 5+ years of engineering leadership experience managing and scaling distributed systems teams. Strong technical background in distributed systems, workflow orchestration engines, scheduling systems, or data infrastructure tooling. Previous working experience in large scale orchestration frameworks such as Apache Airflow, Dagster, Flyte, Prefect, Kubeflow, Maestro or similar platforms, and understanding of challenges around scaling, observability, and multi-tenancy. Strong familiarity with software engineering principles, including object-oriented and functional programming paradigms, design patterns, and code quality practices. A track record of partnering across engineering, product, and cross-functional teams to deliver reliable, high-quality infrastructure at scale. Excellent written and verbal communication skills, especially in synthesizing complex technical concepts for broad audiences. 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. You must live in a state where Airbnb, Inc. has a registered entity. Our Commitment to Inclusion Read Less
  • Airbnb was born in 2007 when two hosts welcomed three guests to their... Read More
    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: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Core ML team in Community Support is the team responsible for adopting the Agentic AI technologies to enable an intelligent, scalable and exceptional customer service experience. We are responsible for developing the Chat AI assistant, Voice AI Assistant and more! The team is constantly exploring the SOTA Agentic architecture, develops and enhances various AI models, ML services and leverages tools including SFT, Reinforcement learning, Distillation, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities. A Typical Day: Champion 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. Your Expertise: PhD or Master's degree w/ 6+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field — or equivalent industry experience Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and LLM evaluation frameworks Experience building Agentic AI systems — including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines (e.g., ReAct, LangGraph, AutoGen, or similar) Experience of shipping production-grade ML/AI systems at scale, with deep understanding of ML infrastructure, model serving, and MLOps best practices Excellent communication skills with the ability to collaborate effectively across Engineering, Product, and Design organizations 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 Read Less
  • Remote Senior Systems Engineer, BizTech  

    - Dane County
    Airbnb was born in 2007 when two hosts welcomed three guests to their... Read More
    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 world is changing how it works; not just in where we do it, but in how fast and how well we can do it. Airbnb has already shown that we can move with speed and intention. We navigated a pandemic, rebuilt our company from the ground up, had a successful IPO, and shipped product upgrades – all while working remotely. That experience didn't just change where we work. It changed what we believe is possible. Now, a new shift is underway. AI is fundamentally changing the leverage available to every team – compressing timelines, breaking down traditional job description silos, raising the ceiling on quality, and enabling small, focused groups to accomplish what once required much larger ones. At Airbnb, we are not treating AI as a future consideration. We are moving fast to embed it into how we operate today – using it to multiply the impact of every employee, every system, and decisions we make every day. The companies and teams that embrace this shift with urgency and discipline will define what's possible in the years ahead. We intend to be one of them. Collaboration Products The Collaboration Products team owns the enterprise systems that Airbnb's workforce relies on to plan, build, and deliver — including our Atlassian ecosystem, AI-powered tooling integrations, and custom-built engineering platforms. Our mission goes beyond keeping the lights on. We are moving fast to modernize our stack, retire technical debt, and integrate AI capabilities that directly multiply the productivity and quality of the teams we serve. We build with urgency, operate with rigor, and treat every system we touch as an opportunity to raise the bar on what BizTech delivers to Airbnb. The Difference You Will Make: The Senior Systems Engineer is a hands-on technical leader who moves fast, builds to last, and uses AI as a force multiplier — not a future initiative. In this role, you will own the configuration, migration, and continuous improvement of Airbnb's Atlassian platforms, including leading the active deprecation of Jira Data Center and full transition to Jira Cloud. But your impact goes beyond administration. You will identify where AI and automation can compress delivery cycles, reduce toil, and improve the quality and reliability of the systems our workforce depends on — and then build those improvements, quickly. You bring the platform depth to architect scalable solutions and the judgment to know when to move fast and when to be deliberate. You are the kind of engineer who raises the velocity and quality of everyone around you. A Typical Day: Serve as the primary SME and hands-on administrator for JiraCloud Software, JiraCloud Service Management (JSM), and associated Atlassian tooling; own configuration standards, governance, and technical debt reduction across the environment Architect and implement scalable Jira configurations including custom workflows, issue type hierarchies, permission schemes, notification schemes, screens, and field configurations aligned with Atlassian best practices Lead and execute Jira migrations - including Data Center to Cloud - coordinating with cross-functional stakeholders to deliver seamless cutover experiences Design and configure Jira Service Management projects including SLAs, custom queues, JSM Forms, approval workflows, and security schemes to support internal service delivery teams Build and maintain advanced analytics, dashboards, and reporting solutions using native tooling for Jira Cloud as a first line of options; Airbnb has elected to avoid Atlassian Marketplace products for information security, privacy evaluate emerging AI/ML capabilities within the Atlassian ecosystem and champion responsible, contextually appropriate AI adoption aligned with Airbnb's mission Write and maintain custom automation rules using Jira's native Automation engine and JavaScript; leverage Jira REST API for integrations, data imports, and custom reporting Lead User Acceptance Testing (UAT) efforts for platform changes and migrations; develop and maintain test plans, test scripts, and defect tracking documentation Facilitate Agile ceremonies (sprint planning, retrospectives, standups) as needed; operate as Scrum Master or Product Owner for platform-focused workstreams Document system configurations, runbooks, and knowledge base articles to support operational continuity and enable self-service across the organization Participate in on-call rotation and provide escalation support for critical Atlassian platform issues Your Expertise: 7+ years of hands-on Atlassian administration experience, including Jira Software, Jira Service Management (across JiraCloud strong command of JQL for filters, subscriptions, dashboards, and board configuration Proven experience leading Jira migrations (Data Center to Cloud), including project configuration migration, macro compatibility, and data integrity validation Experience configuring and administering Jira Cloud native tooling for capacity planning and portfolio reporting Proficiency with Atlassian Marketplace plugins including JavaScripting Hands-on experience with Jira REST API using tools like Postman (GET/PUT/POST) for data extraction, integration, and custom reporting workflows Experience integrating Atlassian tools with identity providers via LDAP familiarity with user lifecycle management, license governance, and security hardening practices Working knowledge of Atlassian Rovo and AI/ML capabilities within the Atlassian ecosystem; ability to configure Rovo agents with careful consideration for AI ethics, value alignment, and contextual appropriateness Experience configuring Jira Automation rules (native and scripting-based); working knowledge of JavaScripting and JSON for custom automation Strong background in Jira Service Management including SLA configuration, JSM Forms, custom queues, and approval workflows Experience leading UAT for complex migrations and platform changes; proficiency in developing and executing test plans, test scripts, and defect documentation Familiarity with SAFe Agile (SAFe Agilist and/or SAFe Scrum Master certification a plus); experience as Scrum Master or Product Owner for technical workstreams Strong analytical and communication skills with a demonstrated ability to translate complex technical concepts for both technical and non-technical stakeholders Experience working in a remote-first, high-growth environment; ability to independently manage multiple priorities and keep stakeholders informed Familiarity with complementary enterprise tools such as Slack, Asana, Figma, Airtable, and Miro is an advantage 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 Read Less
  • Airbnb was born in 2007 when two hosts welcomed three guests to their... Read More
    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: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Core ML team in Community Support is the team responsible for adopting the Agentic AI technologies to enable an intelligent, scalable and exceptional customer service experience. We are responsible for developing the Chat AI assistant, Voice AI Assistant and more! The team is constantly exploring the SOTA Agentic architecture, develops and enhances various AI models, ML services and leverages tools including SFT, Reinforcement learning, Distillation, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities. A Typical Day: Champion 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. Your Expertise: PhD or Master's degree w/ 6+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field — or equivalent industry experience Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and LLM evaluation frameworks Experience building Agentic AI systems — including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines (e.g., ReAct, LangGraph, AutoGen, or similar) Experience of shipping production-grade ML/AI systems at scale, with deep understanding of ML infrastructure, model serving, and MLOps best practices Excellent communication skills with the ability to collaborate effectively across Engineering, Product, and Design organizations 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 Read Less

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