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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 AirCover team is charged with managing and growing the AirCover business inside of Airbnb. We have a responsibility to our community of Hosts and guests to be there when things don’t go exactly as planned with their reservations. We have a lot of work to do in the coming years and we are looking for someone who will help us manage all of the things that need to be done to deliver best-in-class services to our community. The Difference You Will Make: As a Vendor Manager focused on operational vendor support, you will own the end-to-end management and performance of a portfolio of third-party partners that deliver critical operational services (e.g., third-party claims adjusting). Applying deep expertise in vendor management, SLA frameworks, and operational risk, you will exercise independent judgment across multiple sources of data to structure trade-off decisions, resolve complex and ambiguous problems, and hold vendors accountable to service, delivery, and cost outcomes for guests and hosts. You will operate with minimal oversight, act as a trusted advisor and resource to less experienced colleagues and internal stakeholders, and may lead vendor management projects or programs that shape how the broader function operates. A Typical Day: Own the day-to-day management and performance oversight of an assigned portfolio of vendors within established team strategy and governance. Lead daily/weekly performance forums, synthesizing multiple sources of operational and financial data to diagnose root causes, structure trade-off decisions, and drive action plannin

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# Best Email Phishing Simulation Services Email remains one of the most common ways cybercriminals target organizations. Attackers use convincing messages to trick employees into clicking malicious links, opening harmful attachments, sharing credentials, or transferring sensitive information. Even with firewalls, antivirus solutions, and security monitoring in place, one successful phishing email can create a serious security incident. **Email Phishing Simulation Services** help organizations measure employee awareness and strengthen their ability to recognize and report suspicious messages. ## What Is Email Phishing Simulation? Email phishing simulation is a controlled security awareness exercise that recreates realistic phishing scenarios without exposing employees to actual malicious activity. Authorized security professionals design simulated phishing emails based on common attack techniques and send them to selected users according to an approved testing plan. The objective is not to blame employees. Instead, it is to understand how users respond to realistic threats and identify areas where additional security awareness training may be required. A well-designed simulation can test responses to credential-harvesting emails, fake password-reset notifications, suspicious invoices, delivery alerts, account warnings, and other social engineering scenarios. ## Why Phishing Simulations Are Important Technology alone cannot completely prevent phishing attacks. Cybercriminals continually improve their techniques, making fraudulent messages increasingly difficult to distinguish from legitimate communications. Regular phishing simulations can help organizations: * Measure employee phishing awareness. * Identify users who may require additional training. * Test reporting and response procedures. * Improve recognition of suspicious emails. * Reduce the likelihood of credential theft. * Strengthen the organization's security culture. * Track awareness improvements

Salary range - $250k - $350k | Equity - up to 0.5% | In-person NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We're looking for a Research Engineer to own problems end to end across our models, inference service, and product. You won't just train a model and hand it off. You'll take it from training through benchmarking, into our inference stack, and work with the team to integrate it into our products. We're a small team that has shipped the current state of the art OCR model, Chandra. Our models collectively have 70k+ Github stars. Our tools are used internally at frontier AI labs like Anthropic, and Fortune 500 enterprises like Siemens. Our team focuses on training small, efficient models that outperform much larger LLMs on domain-specific tasks (like OCR, structured extraction, tables). We move fast, prioritize practical results, and build tools that are open, reproducible, and built to last. You'll test hypotheses quickly, iterate on results, and balance experimental rigor with shipping to customers. Day to day: A typical project might look like: identify a gap in extraction quality on long documents, train and benchmark a new model, optimize it for inference, and work with the team to ship it to users. Concretely: Train and evaluate models: Train task-

Salary range: $300k - $350k | Equity: 0.4% - 0.6% | In-Person: NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We're looking for an engineering lead to guide our team while staying hands-on in the code. You'll set the technical direction and standards for how we build the interfaces, tools, and infrastructure behind our OCR, extraction, and document-understanding systems. This includes everything from optimizing agent loops and interfaces to helping to speed up inference. This is a player-coach role. You'll manage and grow a team of three engineers, own engineering delivery and quality, and spend a large share of your time writing code - focused on architecture, infrastructure, and the hard problems rather than routine feature work. You’ll partner closely with the research team to define the handoff between experimentation and production. As a small and fast-moving team, roles are fluid and ownership is high. You'll work directly with the founder to set priorities, ship features, and make our technology accessible to a global community of builders. Day to day, you will: Manage and grow a team of three engineers - 1:1s, prioritization, feedback, and hiring as we scale. Own engineering delivery, quality, and technical standards across code, testing, infrastruct

Founding Engineer, Open Source Salary range — $225k – $300k | Equity — .15%-.35% | In-person NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, chandra, surya, marker, and lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We're looking for a Founding Engineer to develop and evangelize our open source repos. This includes chandra, surya, marker, pdftext, and lift, which collectively have over 70k Github stars. It also includes new tools we have yet to build and launch. As you work on our repos, you’ll also become the credible person to evangelize them. You’ll turn your own work into demos, benchmarks, tutorials, and launches. You’ll also support other launches across Datalab, especially when they touch open source components like the SDK. Our projects have real reach: 70k+ GitHub stars and users everywhere from frontier AI labs to Fortune 500s. Your job is to turn that reach into a thriving, engaged developer community through content, code, and showing up where developers already are. If you're the kind of engineer who’s energized by both building things and helping other people build, this is the role for you. Day to day: Own our open source repos and SDK: Drive chandra, surya, marker, lift, and our Python SDK forward as a hands-on contributor. Ship new features and improvements that the market cares about, help plan new versions, and ow

Salary range: $225k - $300k | Equity: 0.15% - 0.35% | In-Person: NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We’re looking for a fullstack engineer who wants to build the interfaces, tools, and infrastructure that help developers and enterprises use our models. You’ll work across the stack to shape how people interact with OCR, extraction, and document-understanding systems. That includes building core inference workflows, creating intuitive UI for complex parsing tasks, and improving the developer experience across our open-source repos and API. This is a high-ownership role that blends engineering, product thinking, and community engagement. You will work closely with the founders and the rest of the team to ship features, improve performance, and make our technology accessible to a global community of builders. As a small and fast-moving team, roles are fluid. You should enjoy working across backend, frontend, performance, and user-facing surfaces. Your work will directly influence how teams evaluate and deploy our models. Day to day, you will: Ship features to our open source repos, API, and internal tooling. Design and build frontend features that make document parsing more interactive and understandable. Optimize inference performance and improve th

Base — $160k – $180k | OTE — ~$230k – $255k | Equity — 0.3% | In-person NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We're at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, chandra, surya, marker, and lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We're looking for a Founding Customer Success Manager to own the relationship with our enterprise customers after they sign. You'll be accountable for adoption, retention, and growth — making sure customers get real value from our models, stay for the long run, and expand their usage over time. You'll be the face of Datalab for every account you own: their trusted advisor, their first call when something matters, and the person keeping their goals moving forward. You will be the commercial and relationship manager who owns the account strategy after a deal has been signed. You'll orchestrate the right people internally so the customer always feels progress. You'll know the product and the customer's architecture well enough to lead most conversations yourself, and you'll pull in Engineering when an account needs it. We also have a long tail of self-serve customers using our API. Many are strong candidates to expand into enterprise contracts, and you'll own that self-serve → enterprise motion end to end — from spotting high-potential accounts to closing the upgraded contract. This role is ideal for someone who thrives at the intersection of 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: Passport & Commerce builds the trusted account and commerce foundation that lets anyone, anywhere, become part of the Airbnb community — from their first sign-up, through the profile and connections they build, to every booking, benefit, and business transaction along the way. We're a newly formed org within Guest & Host that brings together identity and commerce foundations under one roof. Our mission is to move Airbnb beyond the transaction — building a world where accounts create trust, value sticks, and the benefits our community earns travel with them, and their businesses, wherever they go. You'll work closely with Payments and Wallet engineering, Identity & Privacy, Profile & Community, and Guest & Host product, design, and data science partners as we stand up this team's roadmap and technical foundations. The Difference You Will Make: As a Senior Software Engineer on the iOS team within Passport & Commerce, you will build the iOS experiences that bring various account features to life for millions of guests and hosts. You'll own complex features end-to-end, from technical design through launch, working closely with your backend, Android, and design counterparts. Success in this role looks like shipping reliable, performant iOS experiences that reach parity with our Android and web surfaces, establishing patterns other engineers build on as the iOS presence for this team grows, and becoming a trusted technical voice for iOS within Passport & Commerce. A Typical Day: Design and build iOS features using modern, declarative UI and unidirectional state

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: Airbnb is a vision and mission driven company, and our Product Managers embody that mindset. Platform PMs imagine the ideal end state for our community first, work backwards from it, and deliver it in a scalable way. The AI Assistant team owns the agentic AI system that powers Airbnb's support experience for millions of guests and hosts. This is one of the highest-visibility applied-AI efforts at the company, and it sits at the intersection of large language models, platform thinking, and a genuinely two-sided marketplace. The Difference You Will Make: You will own the platform that determines how our AI Assistant reasons, retrieves, and responds: the layer that interprets each request and routes it, the knowledge and capabilities the assistant draws on, the actions it can take to actually resolve an issue, and the evaluation systems that keep it safe and accurate at scale. You will own what a good outcome looks like for the user, and the criteria we measure it against, working through partners who own the underlying knowledge and the engineering implementation. This is a role where Product both directs technical work and does it themselves. You will diagnose architectural problems, author the artifacts that become production behavior, and help drive engineering and data science decisions alongside your key partners. Support is high-stakes: people reach out when something has gone wrong, often with another party involved. You will be responsible for making those moments accurate, safe, and genuinely helpful, increasing how often the assistant fully and correctly resolves

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’s Legal Department is a global team that will require working with diverse international colleagues around the world. The successful candidate will be someone who is adaptable, collaborative and embodies Airbnb’s Core Values. Candidates will be required to approach complex legal issues with a balance for local and global perspectives, while being adaptable to cultural differences and nuances. A genuine and demonstrated interest in Airbnb and a commitment to ethics, integrity and fostering a workplace that emphasizes diversity and belonging is a must. The Community You Will Join: Airbnb’s Legal team embodies the company’s innovative, forward-thinking spirit. At the frontier of the new sharing economy, Airbnb is breaking new ground in matters of policy, law, and government relations. Where some see obstacles, we see the opportunity to find creative, practical solutions, right at the cutting edge. Our adventurous, fast-moving legal team is committed to building a team of talented, collaborative and self-motivated legal professionals across the globe who believe in Airbnb’s mission and leading as a 21st century company. The Difference You Will Make: Airbnb is looking for an experienced litigator to join our Risk and Regulatory group. Reporting to Airbnb's Lead Counsel, Litigation, Risk and Regulatory, the Senior Counsel, Litigation will own high-stakes disputes, investigations, and strategic counseling from first assessment through resolution, directing outside counsel and shaping our approach at every stage. This role is for you if you work well with business partners, bring a steady and positive presence,

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 Community Support Team within Global Operations is the voice of the Airbnb brand, with over 20,000 ambassadors supporting our community and providing the glue that helps power millions of experiences and a sense of community and belonging for guests and hosts on our platform each year. Our organization deeply believes in providing a frictionless experience at scale, works across the company to ensure the support experience is integrated across the entire lifecycle, and endeavors to make support a secret weapon and strategic differentiator for our brand. The Difference You Will Make: As a Program Manager in Community Support, you are responsible for implementing large-scale, cross-functional and cross-platform programs that drive the strategic goals of the Community Support organization and Airbnb. You serve as the bridge between critical business functions such as Community Support, Marketing, Creative, Product/Platform, Design, Engineering, Policy and Comms teams, aligning stakeholders and shepherding teams through the process of bringing our strategic initiatives to life. You will deliver on the end-to-end scoping, planning, execution, and launch of initiatives to achieve success for our product, hosts, and guests. This high touch individual must come with experience working with seasoned executives, and be able to work with and influence stakeholders across entire organizations throughout Airbnb. You’ll play a critical role in bringing to life Community Support’s vision to build the world’s most loyal travel community through exceptional service. A Typ

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: Airbnb’s mission is to create a world where anyone can belong anywhere. Airbnb Payments team supports this mission by economically empowering Airbnb businesses and our global community of guests and hosts. Airbnb Payments team allows any two people in the world to frictionlessly exchange money with easy to use payments services. It is a core strategy to fulfill Airbnb’s belongs anywhere mission.We are building a world-class payments platform that moves billions of dollars, in 191 countries, with 75 currencies, through a complex ecosystem of payments partners. We build and maintain our own in-house global payments platform because no solution exists with the global reach needed. As the platform grows we’ll be adding new payment partners, global licenses, compliance and regulation controls, and building new payment experiences for our guests and hosts. Payments Transactions team and Payments Payouts team are part of the core platform of the Airbnb Payments ecosystem. The teams are building the core billing system and payouts system for Airbnb money movements. The team engineers are responsible for the seamless orchestration and recording of Airbnb’s payment obligations with our community. They initiate, advance, and realize Airbnb’s payment commitments with our community in a way that is reliable, accurate, timely, scalable, and auditable. The Difference You Will Make: We are looking for talented and self-motivated Senior Software Engineers who are passionate about working in this highly dynamic domain and collaborating with world-class XFN teams to advance our mission. As part

About the Team OpenAI’s People team is committed to hiring, engaging, and supporting world-class talent to help safely build and deploy universally beneficial Artificial General Intelligence (AGI). The People Operations team is responsible for the systems, data, and operational rigor that underpin every stage of the employee lifecycle. Our work sits at the intersection of employee experience, regulatory compliance, and business velocity — ensuring that as OpenAI scales rapidly and globally, our foundations remain accurate, auditable, and human-centered. This is a high-trust, high-impact function. We partner closely with Finance, Legal, IT, Security, and the broader People team to support growth in a dynamic environment with significant internal and external scrutiny. Operational excellence here is not about process for process’s sake — it is about building durable infrastructure that enables fairness, transparency, and responsible scale. About the Role As Director of People Operations, you will own the core operational infrastructure that enables OpenAI to scale responsibly. This role serves as the operational backbone of the People function, with accountability for data integrity, operational controls, and audit readiness across the systems that support a complex, global workforce, including the operational foundations of recruiting and hiring at scale. You will lead a team responsible for the end-to-end workforce lifecycle, from candidate and hiring operations through onboarding and offboarding, ensuring our people systems, processes, and data are accurate, resilient, and built to scale.In close partnership with Employment Legal and the People Compliance team, you will translate policy and regulatory requirements into scalable, well-controlled operational processes. This role operates with high visibility and close partnership with senior leaders across Finance, Legal, IT, and People, including ownership of SOX-relevant controls and workforce data relied upon by e