Country Manager in 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 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

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

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

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

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: Imagine getting off a long international flight, standing in the freezing rain, attempting to contact your Airbnb host, only to realize that they are not responding because the Airbnb that you booked was not real. The Listing Integrity team’s ultimate goal is to prevent experiences like this by proactively detecting and removing fraudulent listings (Homes, Experiences, and Services) so that guests can search and book on Airbnb with confidence. The team uses data driven heuristics, machine learning models, and customer service operations in order to accomplish this goal. The Difference You Will Make: As a Software Engineer on the Listing Integrity team, you will be working with data scientists, designers, product managers, and customer service operations to innovate new ways we can stop bad actors in the ever evolving fraudulent listing creation and financial losses associated with it by collaborating across team boundaries. On this team, you must have the curiosity to dig deep into various end to end systems in order to understand how and where the fraud occurs. Your curiosity will be rewarded with finding projects that have outsized impacts on decreasing fraud losses and protecting Airbnb users from bad experiences while on vacation. A Typical Day: Work with large scale back end systems to detect fraudsters, using rules and connecting to productionalized machine learning models. Work collaboratively with cross-functional partners including machine learning engineers, product managers, operations and data scientists, identify opportunities for business impact, und

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 real-

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: We are looking for an Advanced Analytics Lead to help Airbnb enable travel for our millions of guests and hosts on our platform. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS organization. The Difference You Will Make: Data thought partner to product and business leaders across teams through providing insights, recommendations, and enabling data informed decisions Drive day to day analytics and create scalable data tools Identify pain points in customer support operations and work with product leadership to improve experiences for our guest, host and agent community In addition, you will leverage Airbnb’s rich and unique data, state-of-art machine learning infrastructure, and other central data science tools to build and grow the measurement capacity within the organization. You will also be deeply involved in the technical details of the various systems we build, and will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operations agents to achieve shared, cross-functional goals to help keep Airbnb’s community safe and trusted. You are passionate about solving complex problems within the Community support domain with data & insights; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships You are a story

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 long-tail 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, availabi

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. 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 CS AI product team is 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, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. What you will do: As a principal machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure. You will partner with product managers, software engineers, data scientists and operation teams to brainstorm, design and develop AI products such as AI Assistant, Autonomous agent, recommendation, travel planning, and many more products that make meaningful

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: Are you looking for a fast-paced, influential position handling a broad range of employee relations matters including coaching and counseling all levels of employees? We are searching for an experienced and talented Employee Relations Professional to join this highly collaborative Employee Relations Advisor Team. Our Impact: The Employee Relations Advisor Team is responsible for handling a broad range of employment law and employee relations matters, including the resolution of employment allegations and complaints to ensure fairness, consistency, legal compliance, and mitigate corporate risk. Your Impact: Lead end-to-end management of complex employee relations cases, conducting in-depth analyses to ensure fair, consistent, and compliant outcomes aligned with company policies and regulatory requirements Exercise sound judgment and decision-making authority, leveraging policy and past practice, to assess risk, determine appropriate resolutions, and advise on sensitive or high-impact employee matters with limited oversight Serve as a trusted advisor to HR Business Partners, managers, and business leaders, providing guidance on employee relations issues including performance management, workplace conduct, and policy application Develop clear, comprehensive employee relations case documentation and case summaries, ensuring accuracy, defensibility, and adherence to confidentiality and audit standards Analyze case trends and emerging risks to inform proactive strategies, strengthen manager capability, and enhance the effectiveness

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: We need a highly innovative Technical Lead! How confident are you that you can build sophisticated analytic systems? If you believe you could contribute to the development of innovative principles and ideas in a matrixed environment, please keep reading as we are seeking an individual contributor who has experience with Java and Python and can lead and nurture an inspiring environment in our Virginia office. Our Impact: The Investments and Capital Markets (I&CM) division is looking for a capable technology lead for its trading and analytics development team. This could be you! To thrive in this division, you must have a comprehensive understanding of system implementation and design, experience working in capital markets, and be enthusiastic about leading development of new paradigms in software system architecture. Your Impact: As a Trading Analytics Development Tech Lead, you will develop and maintain software using Java and Python tech stack that adheres to software engineering best practices. You will influence technical decisions, mentor developers, resolve engineering blockers, and partner with engineering managers to help teams deliver secure, reliable, and maintainable solutions. You will provide hands-on directions for full-stack applications, APIs, microservices, and integration services while reinforcing engineering discipline across design, development, testing, deployment, observability, and production readiness. Partner closely with Product Owners, engineering managers, architecture, business stakeholders, and cross-functional tec

Global Payroll Time & Attendance Associate Job Summary The Global Payroll Time & Attendance Associate supports accurate, timely, and compliant timekeeping activities across multiple countries and employee populations. This role collects and validates time data, resolves exceptions, supports time-off and attendance processes, completes payroll-related audits, and ensures approved time information is transferred accurately to payroll. The associate partners with Payroll, People Experience, managers, Digital/HRIS teams, service centers, and external vendors to resolve issues, support system changes, and improve the colleague experience. The role also contributes to documentation, testing, governance, and continuous improvement initiatives. Key Responsibilities Time & Attendance Operations Collect, review, and validate time and attendance data according to established payroll calendars and country requirements. Generate time and attendance reports and prepare approved information for transfer to payroll systems. Review timecards for missing punches, incomplete records, incorrect schedules, pay-code issues, and other discrepancies. Research and resolve timekeeping inquiries and cases submitted by colleagues, managers, and business partners.<sp

Sales Development is the front line of VTS’s growth engine. As an SDR, you’re not just booking meetings, you’re shaping our future. You’ll help identify and engage the next wave of customers who will use VTS to transform how commercial real estate operates. With the support of powerful data-driven workflows and AI tools, you’ll generate pipeline at scale, test new go-to-market strategies, and provide critical insights back to the sales and marketing teams. Simply put, when our SDR team thrives, the entire company grows faster. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office four days a week. ** What Makes This Job Awesome? This isn’t your typical entry-level sales role. At VTS, you’ll be joining a high-impact, AI-augmented sales team that’s rethinking how modern prospecting is done. You’ll: Be quickly trained in world-class SaaS sales techniques and real estate fluency. Use cutting-edge tools to automate busywork so you can focus on learning, experimenting, and connecting with decision-makers at some of the most influential CRE firms on the planet. Collaborate closely with AE mentors, marketing partners, and senior leadership to contribute directly to pipeline growth. See a clear path for promotion to closing roles and beyond. Our top AEs and leaders started in this seat. Be part of a scaling team where every win matters and every voice is heard. Form relationships with senior decision makers, asset managers and brokers at the top commercial real estate firms across the country. What Makes You a Great Fit? You’re not just looking for a job, you’re looking to launch a career in tech sales with real momentum. You could be a great fit if: You’re curious, coachable, and ready to dive headfirst into a fast-paced, goal-driven environment. You embrace new tools and technologies to work smarter and faster. You bring 1+ years of professional or internship experience. Bonus if it’s in CRE, SaaS, or sales but your