Legal Counsel

Crypto.com is seeking a CRM Manager to lead the strategy and execution of cross-channel communications across our product verticals. Key functions will include driving platform retention, engagement, onboarding, and usage metrics, via channels including but not limited to push notifications, email, in-app etc. The CRM Manager will work closely with Marketing, Product, Creative, Legal, Compliance, and MarTech teams to deliver campaigns that are timely, compliant, and audience-right. The CRM Manager must demonstrate a deep understanding of the company's products and the customer lifecycle, identify consumer touchpoints, and develop actionable strategies to meet business objectives and customers' needs. The ideal candidate should possess strong leadership and communication skills, be highly organized and detail-oriented, embrace AI as a force multiplier, and be capable of managing multiple projects and workstreams simultaneously in a fast-moving, cross-functional environment. Responsibilities Own lifecycle CRM strategy across product verticals, driving engagement, retention, onboarding, and reactivation through targeted campaigns and personalized experiences. Design and execute end-to-end marketing automation — from segmentation and journey architecture through to delivery, measurement, and iteration — across email, push, in-app, and in-browser channels. Develop deep ownership of the CRM tech stack — including segmentation logic, channel configuration, data flows, and automation architecture — to operate effectively and surface improvement opportunities. Partner with the MarTech team to build and maintain API-based triggers, data integrations, and real-time event pipelines that power scalable, data-driven campaign delivery. Write and maintain HTML/CSS for email and in-browser templates, ensuring consistency with brand guidelines, responsive design, and cross-client rendering quality

Role/Responsibilities: The Cubist Business Management team manages all aspects of onboarding new systematic trading teams as well as deployment of new trading strategies. The team also represents PMs with external counterparties and is responsible for rate negotiations, quant research vendor relationship management, and trading relationship management. General responsibilities include, but are not limited to: Complete project lifecycle management launching new PM Teams into production Educate PM teams on Point72 operating procedures and technology integration Lead new strategy rollout projects internally with Technology, Operations, Legal, Compliance, and Risk groups, and externally with brokers, exchanges, and vendors Provide day-to-day support for various operational procedures such as broker data management, compliance monitoring, trading, and business continuity The person in this role must have a technical background as well as good communication skills and a willingness to learn day-to-day trading and finance operations. The candidate should have a good understanding of global market structure and electronic trading systems and have familiarity with trading rules and regulations or demonstrate an aptitude to learn. Familiarity with research and market data sources is a strong plus but not a requirement. Job Requirements: This is a highly selective position. The ideal candidates will have a combination of software development and communication skills with some experience working in a financial services organization. A BS in finance, statistics, math, and engineering or computer science is strongly preferred. 2 years of relevant work experience is a plus. Must have strong interpersonal skills, excellent time management skills, and a team attitude. Working experience in Python and SQL. We support systematic trading of global equities, futures, and foreign exchange, bonds, rates, credit and options. Candidates with specific work experience and knowledge of market

Horizon Trading Solutions is an independent global technology company focused on electronic trading, supporting agency and principal business goals across equities and derivatives. For over 20 years we’ve equipped the most progressive global capital market players with powerful algorithmic technology and direct connectivity to more than 80 exchanges worldwide. Our single multi-asset platform and our unfaltering commitment to client partnership allow us to promise Performance Simplified: making it easy to be the best in trading. We are hiring a Customer Delivery Manager based in Hong Kong for the APAC Market. Customer Delivery Manager is a key stakeholder at Horizon Software, she/he acts as a link not only between customers and the company but also between various teams, including Sales, Legal, Account Managers, Product Owners, Product Experts, Client Services and Engineering teams. Your day to day? Pre-sale phasis: Assist presales Define scope and deliver project definition Write specs / requirements, involve product experts & product owners when needed Provide Timeline & Budget with Managed Services (one off and recurring cost) Client onboarding: Work closely with Horizon teams to identify gaps & implementation risks in early project phases, Get UAT Sign Off for Project Delivery / Onboarding Communicate internally about project progress to Sales and Management teams Ensure that projects are delivered in respect of deliverables in respect of contract (SLA), budget and quality standard, deliver reports and follow-up (budget, structure, planning, resources) Follow-up Software Onboarding (after integration by engineering): gather client's feedback on Initial Install Measure client technical satisfaction through onboarding and client sign off once Live Run and other tasks: Gather client requests and manage the workflow of tickets in our tracking tool (escalation if needed) Give visibility to clients on delivery plans for bug fixes and new

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. 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: Community Support (CS) has increasingly become a key driver of enabling Airbnb's core business. The Community Support Engineering team is responsible for the world-class technology, architecture, and solutions that power CS at Airbnb. The products and capabilities we build empower our guests and hosts, CS agents, and operations teams around the world. As part of the CS Product vision, we are leveraging AI to transform how we deliver customer service - combining advanced ML/LLM capabilities with the expertise of our Support Ambassadors to create a seamless, high-quality support experience. The Difference You Will Make: As an ML Manager within Community Support Product Engineering in China, you will lead a team of machine learning engineers to research, design, and optimize AI models and services that scale AI-powered products and measurably improve the end-to-end Community Support experience for guests, hosts, and support ambassadors. What You’ll Do: Hire, mentor and guide a dynamic team of highly skilled machine learning engineers, fostering their technical growth and professional development. Proactively take initiatives to drive for outcomes over the scope of the team. Build relationships and drive alignment with stakeholders within