Country Manager Jobs

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. Your Location: This position is CHINA BASED . The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. 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 Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. 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

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. Your Location: This position is CHINA BASED . The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. 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 Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. 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

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: As a Senior Machine Learning Engineer, you will be a part of Airbnb's innovative pricing guidance team. Our team is a diverse group of engineers, data scientists, and product managers who are dedicated to creating optimal pricing models for our hosts. We work closely with product engineers, designers, and other cross-functional partners to ensure our models are effective, user-friendly, and contribute to the success of our hosts. ners The Difference You Will Make: In this role, you will be responsible for developing and refining machine learning models for pricing recommendations, with a particular focus on reinforcement learning techniques. Success in this role will be measured by the accuracy and effectiveness of these models, and their impact on host success rates. You will also be involved in project planning and prioritization, ensuring that our team's efforts align with Airbnb's broader strategic goals. A Typical Day: Collaborating with data scientists and product managers to understand project requirements and desired outcomes Developing, testing, and refining machine learning models, particularly reinforcement learning models, for pricing recommendations Analyzing model performance and making necessary adjustments Presenting findings and progress updates to team members and stakeholders Working with product engineers and designers to integrate models into user-friendly tools for hosts Your Expertise: 5+ years of experience in machine learning engineering Proven experience in developing and implementing machine learning models, preferably reinforcement learning mo

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. We are hiring for Machine Learning Engineering as TL level. Your Location: This position is CHINA BASED. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. 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 Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. The Difference You Will Make: We believe our current customer experiences in these domains are

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 Difference You Will Make: The CS Team Specialist supports one or more internal CS services. This is a full time position based in the West Coast of Canada , though the role may support multiple regions. The CS Delivery Team Specialist is an operational expert and a specialist in case handling. The Team Specialist enables our Delivery team to function smoothly by supporting in-progress casework and arranging a successful operational environment for our teams, specifically providing operational assistance to Ambassadors, Supervisors, OMs, and Delivery Excellence Managers. Team Specialists have a solid understanding of the operations, are comfortable providing guidance and support in real-time, and function well in a fast paced environment while juggling multiple priorities. They may be assigned to support one or more services. This is a full time position based in Canada and requires fluency in English, written and spoken . As part of this role, you are required to be flexible and may be required to move to different teams within Community Support and/or take up different responsibilities from those set out below. The ideal candidate will be open to a role which will evolve based on business needs and will be flexible to meet those needs. A Typical Day: The responsibilities listed below are not exhaustive. Given the fast-moving nature of this work, the responsibilities set out below may change and additional duties may be assigned as needed. Enable the successful resolution of core customer-facing work Provide consultative guidance for day-to-day case handling and approve losses for your service(s) and region

Work Flexibility: Field-based Due to the nature of this role and travel requirements associated with this role, we will accept candidates from the 48 continental United States. Job Summary: As a National Leaves Clinical specialist, you will work directly with a JR/MPS team to support robotic and manual joint replacement procedures. You will be required to work within RepSuite for scan and schedule management in multiple territories across the country for employee leave of absence and when otherwise needed by the business. The NLCS will directly report to the Senior Manager, LEAP but indirectly work alongside local Mako Manager, JR Sales Manager, and GM. When not deployed the NLCS will assist and train with local JR team and execute all necessary clinical functions with that team. Field assignments can be a short as two week and as long as 3 months or more. Essential Duties & Responsibilities: Clinical Expertise in robotic applications Develop and maintain expert-level knowledge of Mako robotic systems, their functionalities, and clinical applications. Develop and maintain expert-level knowledge of manual joint replacement instrumentation and implants. Serve as a clinical resource to healthcare professionals, offering insights, training, and support. Deliver comprehensive customer experience tailored to surgeons, nurses, and other clinical staff during the deployment. Ensure that healthcare teams are proficient in MAKO technology, understand clinical benefits and have access to program resources. Be a point of contact for clinical inquiries, troubleshooting, and technical support related to Mako and manual instrumentation and implants. Relationship Building: Build and maintain strong relationships with healthcare providers and hospital staff, internal team members and potential new c

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: Everyone at Airbnb thinks about trust, but our team obsesses over it daily. At the core of trust is safety, and thus we spend a significant amount of our time and energy keeping the community safe. The Trust team is responsible for developing the technology that helps protect our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.). We also work on onboarding and screening of users, and think about complex topics like identity and reputation to ensure that every interaction with Airbnb helps build trust in us and our community. You'll work side-by-side with talented product managers, data scientists, software engineers, fraud intelligence, and operations teams. Together, you'll design and build ML solutions that have direct, meaningful impact on user trust, business success, and the global Airbnb community. The Difference You Will Make: As a Senior Machine Learning Engineer on the Trust team, you will actively contribute code and ideas that shape the ML systems protecting millions of Airbnb users. You'll own and deliver ML projects end-to-end — from designing and training models to productionizing and operating them at scale, while collaborating closely with cross-functional partners. You'll tackle real-world challenges such as account takeover, fake accounts, payment fraud, and bot detection. Your work

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: The Cyber Security team at Freddie Mac is searching for a strong data analyst to collaborate on developing and administering data security policies as well as safeguarding information, evaluating existing data security procedures and identifying new areas of risk for Freddie Mac. If this role sounds like a fit for your skill set, please read on, apply and learn why there is #MoreatFreddieMac ! Our Impact: We develop and train the enterprise on relevant Identity and Access Management best practices, develop and support automated IAM processes, and develop and implement ongoing IAM efficiency improvements with limited oversight by managers. The role will work closely with Enterprise partners and security control owners on IAM automation development activities and alignment of IAM processes with InfoSec maturity targets as described in the InfoSec Strategy. Your Impact: Senior Data Analyst who can develop and implement new and updated business process automation for all Identity and Access Management activities. Develop and proposes strategies to reduce security risk in the organization by implementing procedural prevention, detection, and response measures, while still enabling positive business outcomes. Comfortable supporting ad hoc data retrieval and analysis requests using SQL queries and Copilot/Excel . Creating audit-ready reference documentation. This role will allow for and support rapid AI-based extrapolation/replication of these services as future automated IAM microservices. Qualifications: Typically, 5 - 7 years of rel

About the Team Our sales and partner management teams are the heart and soul of DoorDash, enabling us to sign and partner with top restaurants across the country to drive revenue and help our partners operate and grow their businesses. As DoorDash grows both in scale and breadth of offering, the strength of our sales engine and organizational structure must grow with it. About the Role DoorDash is looking for a strong individual contributor within Sales Strategy - Sales Planning & Incentives, to execute top company business objectives and help define our sales strategy and planning roadmap. Your responsibilities will range from strategic (designing quotas and incentives aligned to the company's goals and strategy, integrating new products into sales GTM strategy and building consensus among sales leadership) to operational (forecasting, designing compensation plans, driving plan implementation and ensuring key metrics can be communicated, tracked and commissions calculated). You will bring a strategic mindset and deliver critical insights using analytical and technical support to the successful administration of sales incentive programs globally while proactively building partnerships, promoting open dialogue and creative insights expertise to issues in real time. This role specifically supports our US SMB Presales organization spanning multiple sales motions and role types. You'll be a planning and strategy partner for a high-velocity, high-volume sales motion where quota attainment, goaling accuracy / consistency, and rep productivity are the north stars. This role will report into a Senior Manager, Sales Strategy and Planning. You’re excited about this opportunity because you will… Work closely with sales leadership, sales strategy, finance, and product teams to own the development, implementation and administration of new and existing sales incentive structures Work closely with cross-functional partners (product, finance, sales, sales operations) to build a

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 Channel Communications team at Airbnb is responsible for driving positive conversation and buzz about Airbnb via social media, influencers and more, as well as maintaining and protecting our brand reputation across social media channels. The team is expanding its India presence, combining always-on reputation protection with channel growth, listening and insights for one of Airbnb's fastest-growing markets. The Difference You Will Make The Social Rapid Response team is looking for a Senior Social Media Associate who will be responsible for protecting and defending the Airbnb story on social media. This role pairs core Social Rapid Response coverage with support for Airbnb's India social presence, partnering closely with the India social lead on listening, insights, publishing and campaign engagement. The ideal candidate is a social native with experience in social listening and responding rapidly to escalating issues and crises. We’re looking for someone who is detailed and solution-oriented, is comfortable moving at a fast pace and working with little manager supervision, has strong communication and interpersonal skills. A Typical Day Monitor emergent issues across social media channels Proactively highlight and/or provide status updates on issues surfacing online to Lead(s) Own day-to-day social listening for the India market, including competitive and cultural conversation tracking Turn listening into insight; synthesize themes into regular recaps and ad hoc deep dives for comms, marketing and regional stakeholders Provide publishing support for @airbnbindia, including

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: Our small and extremely capable team of Gurgaon-based colleagues strive to make the impossible happen for our inbound and outbound travelers within this big and diverse market. ACC is providing varied services under Community Support thereby providing world-class customer experience to our customers. Besides this, ACC is also building deep capabilities for different verticals like Homes, Finance Technology Group, Finance Shared Services, Payments, Analytics, etc. The Payments (Payments Risk and Compliance Team) team’s mission is to keep the online payment ecosystem safe and optimized to enable anyone, anywhere to pay and be paid with confidence, create a world-class compliance organization and have a data driven approach to building an innovation friendly, scalable compliance program. Our goal is to ensure that Airbnb Payments can grow in a safe fashion, with risks appropriately measured and mitigated. The Difference You Will Make: The KYC Supervisor supports Airbnb’s Global Payments Operations. This position is a combination of responsibilities that includes leadership support, Compliance ops expertise and project coordination. This role requires building and maintaining relationships with the following stakeholders, outside your Reporting line: Project Managers, Operations Analyst, Partner Management, Foundation team, Product and Engineering team Content, Policy, Training, Quality, Partners, as potential Cross-functional Areas of Focus* A Typical Day: Manage day-to-day operations, staffing, and scheduling for Core Operations Serve as subject matter expert; handle escalated o

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: Our Supply Team is growing, and we want you to be part of it! As a Market Associate, you will play a crucial role in the retention, growth, and optimization of host entrepreneurs and rising hosts in your assigned territory. You will focus on building strong relationships with these hosts, helping them optimize their listings, improve pricing strategies, and enhance their overall success on Airbnb. The difference you will make: As a Market Associate, you will be responsible for the retention and growth of small and medium hosts in an assigned territory. You will establish and nurture business relationships with emerging professional host accounts by suggesting and supporting strategic initiatives that drive their success on Airbnb. These initiatives will include supply optimization, pricing optimization, host recruitment, and platform education. In addition, as these Hosts successfully grow on the platform, it will be imperative that you help them maintain best-in-class hospitality standards for an excellent guest experience. Beyond one-to-one account management responsibilities, you’ll also support Market Managers on your team to deliver one-to-many education programs, such as webinars and scaled e-mail communication. Ultimately, this team will be responsible for helping long-tail Hosts thrive on Airbnb. A typical day: Manage a book of business consisting of host entrepreneurs and rising hosts, ensuring their retention, growth, and optimization on Airbnb. Conduct one-on-one optimization and onboarding conversations, providing strategic recommendations on pricing, a

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 Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives. The Difference You Will Make: We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb. We collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Airbnb’s mission of creating a world where people can Belong Anywhere. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home A Typical Day: 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

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: Our team is composed of both marketing and creative talent. We consider ourselves Airbnb’s storyteller, responsible for sharing our vision and product promise with hosts and guests around the world. We build Airbnb’s brand by providing education on new ways to live, travel, and experience the world. Our work spans campaign, social, product launch events, and product marketing. A Typical Day: Oversight/leadership of the production team during all project phases: planning, pre-production, production and post-production. Create alignment amongst stakeholders and partners throughout the deliverable production process, holding production team members accountable. Work closely with Program Managers to align on creative development schedules. Work with Executive Producers and Creative Operations to ensure the resourcing plan meets larger skillset needs of the project, cross-project contractor needs are identified and sourced. Manage production project timelines and budgets. Exhibit a passion for creative excellence on a daily basis. Ensure work is produced in line with the highest standards of quality; Ability to manage budgeting, resourcing, and timeline for large-scale, complex creative productions and concurrent workstreams Contribute to strategic vision and have ownership in the quality of the final product. Report status of projects with Sr. Management in clear, concise fashion. Build meaningful XFN relationships. Plan and execute integrated productions (e.g., film, photography, native social, animation, activations etc.). Advocate diversity, equity

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: This program is a ten-week internship crafted to provide interns with the opportunity to gain outstanding experience working across a broad spectrum of Freddie Mac’s key capital markets desks. The key focus is to develop future portfolio managers by providing real world training experiences with the goal of learning the full mortgage capital markets life cycle while also providing desk-specific knowledge. Interns will get a chance to learn, be mentored by and work alongside best-in-class professionals on various desks to analyze and support our mission of Making Home Possible. Your placement for the summer will be on a desk that falls within one of these two areas: Front-End: Gain knowledge of how Freddie Mac prices its business through upfront loan pricing, pool securitization and unsecured debt funding through working with one of the front-end capital markets desks Credit Risk: Learning how Freddie Mac manages its credit risk, through rotating on one of the securitized products related desks, including STACR, ACIS, Servicing Capital Markets and Loan Portfolio Management and Structuring We are accepting applications for this position until 10/16/2026. Our Impact: Freddie Mac’s Single Family and Capital Markets Divisions are responsible for handling the ~$3.4 trillion mortgage guarantee and investment portfolios through secondary mortgage market activities such as asset-liability management, loan purchases, servicing transactions, securitization, debt issu