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Legal Entity Controller Jobs

3,562 active opportunities · Updated for October 2026

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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. 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

machine learningairust
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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. 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

machine learningartificial intelligenceai
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D
DataCamp
📍 Argentina• Full-time
7mo ago

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 14 million learners and 5,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role We are looking for a Sales Operations Admin to join our growing Revenue Operations team. As Sales Operations Admin you will work with members of Sales, Customer Success, Finance and Legal teams. The Deal Desk function is a strategic role responsible for optimizing sales processes, implementing sales technologies, and ensuring the sales team operates efficiently to support business growth and customer satisfaction. About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Manage the day-to-day quote and pricing approvals Partner with our commercial teams to ensure opportunities are properly created and tracked in Salesforce, including stage, probability, booking amount, and other key fields Create standard templates, playbooks, and sales guidance documents that streamline the deal desk process Serve as the first line of defense for tackling small cleanliness/technical issues on

T
7mo ago

Job Responsibilities Greet and welcome guests to the bays, providing information about Topgolf offerings. Take and deliver food and beverage orders to guests in a timely and accurate manner. Ensure the cleanliness and organization of the bay areas, including clearing tables and picking up golf balls. Assist guests with bay setup and provide instructions on how to use Topgolf technology. Handle guest inquiries and resolve any issues or concerns with a high level of professionalism. Collaborate with other staff members to create a positive and memorable guest experience. Demonstrate Topgolf's Core Values: Fun, One Team, Excellence, Edgy Spirit, and Caring. Comply with safety and health regulations at all times. Critical Skills & Experience Requirements Previous customer service experience in a hospitality or restaurant setting is preferred. Excellent interpersonal and communication skills. Ability to work in a fast-paced environment and under pressure. Attention to detail and strong organizational skills. Must be of legal age to serve alcohol where required by law. Availability to work evenings, weekends, and holidays. BENEFITS Free Play & 1/2 price food! Health, dental, vision, 401(k) playmaker match, free mental well-being platform – and that’s just for starters for those who qualify. View playmaker benefits here. ADA The above statements cover what are generally believed to be principal and essential functions of the job. Specific circumstances may allow or require some incumbents assigned to the job to perform a different co

human resourcescustomer service
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7mo ago

Job Responsibilities Prepare and serve a diverse range of alcoholic and non-alcoholic beverages. Interact with guests in a friendly and welcoming manner, taking and delivering drink orders. Maintain a clean and organized bar area, including stocking supplies and cleaning glassware. Ensure that alcoholic beverages are served responsibly and in compliance with legal requirements. Monitor guest needs and respond promptly to their requests or concerns. Prepare garnishes, garnish drinks, and set up service areas for daily operations. Adhere to safety and sanitation standards at all times. Handle cash and process payments accurately. Collaborate with the bar team and other staff members to provide exceptional service. Critical Skills & Experience Requirements Proven experience as a bartender in a similar environment. Extensive knowledge of various drink recipes and mixology techniques. Excellent communication and customer service skills. Ability to handle cash and operate a point-of-sale system. Must be at least the legal drinking age in the jurisdiction of employment. Certification in responsible beverage service (where required by law). BENEFITS Free Play & 1/2 price food! Health, dental, vision, 401(k) playmaker match, free mental well-being platform – and that’s just for starters for those who qualify. View playmaker benefits here. ADA The above statements cover what are generally believed to be principal and essential functions of the job. Specific circumstances may allow or require some incumbents assigned to the job to pe

human resourcescustomer service
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T
7mo ago

Job Responsibilities Ensure that the bar area is well-stocked with liquor, mixers, garnishes, and other supplies. Clean and maintain bar equipment, glassware, and utensils. Collect empty glasses and bottles and return them to the appropriate areas for cleaning. Restock ice and other supplies during busy periods. Assist in maintaining a clean and organized bar area. Provide excellent customer service by promptly addressing guest needs and requests. Adhere to safety and sanitation standards at all times. Critical Skills & Experience Requirements Prior experience in a similar role is preferred but not required. Ability to work in a fast-paced and high-energy environment. Strong attention to detail and organizational skills. Excellent communication and teamwork abilities. Must be at least the legal drinking age in the jurisdiction of employment. BENEFITS Free Play & 1/2 price food! Health, dental, vision, 401(k) playmaker match, free mental well-being platform – and that’s just for starters for those who qualify. View playmaker benefits here. ADA The above statements cover what are generally believed to be principal and essential functions of the job. Specific circumstances may allow or require some incumbents assigned to the job to perform a different combination of duties. EEO Statement Topgolf is a global sports and entertainment community and is committed to equal opportunity and is firmly committed to preventing discrimination and harassment, including sexual misconduct, based on legally protected diversity characteristics (such

human resourcescustomer service
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Asana
📍 San Francisco• Full-time• $264K – $300K/yr
7mo ago

At Asana, security is foundational to our mission of helping teams work together effortlessly. Our Security organization protects Asana’s employees, users, and customers by proactively addressing threats, enabling secure product development, and embedding security into the fabric of how we operate. We partner closely with Engineering, Product, IT, Legal, and Compliance to build and maintain trust at scale. We are seeking an Engineering Manager, Security to lead and grow our Security Engineering organization as Asana continues to grow globally. This role is pivotal in translating high-level security strategy into technical reality, ensuring our infrastructure is resilient by design and our internal security tooling is world-class. This is a leadership role with accountability for people management, technical mentorship, and the delivery of high-impact security initiatives across a complex, high-growth SaaS environment. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Lead and mentor a multi-disciplinary engineering team, fostering a culture of technical excellence, psychological safety, and high accountability. Own the security engineering roadmap, ensuring high-quality delivery and measurable risk reduction through effective prioritization. Drive recruiting efforts to attract top-tier talent and establish clear, ambitious career paths for your team. Champion a high-performance environment where security rigor acts as a catalyst for innovation rather than a bottleneck to velocity. Collaborate with Product and Engineering teams to embed security requirements directly into system des

awsrestai
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S
Syllo
📍 Remote• Remote• $190 – $230/hr
7mo ago

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We’re looking for a Sr. Engineering Manager who will foster a collaborative, high-performing environment where engineers can grow, learn, and thrive. Responsibilities Mentor, coach, and support the career growth of 8-10 engineers. You will conduct regular 1-on-1s, provide actionable feedback, and foster a culture of ownership and psychological safety. Participate in personnel review, including the shaping of the performance review process and structure. Improve engineering processes (scrum meetings, code reviews, testing) to increase velocity without sacrificing quality. Partner with Product Managers to translate roadmaps and designs into concrete execution plans. Be responsible for allocating work among engineers, monitoring progress, and facilitating collaboration. Work with the leadership team to define engineering staffing strategy and team structure, and participate in hiring and recruiting. Qualifications 5+ years of experience in engineering management, leading teams of 5 or more in a fast-paced environment, preferably remote. Core software engineering skills, including proficiency in languages such as Python and Ruby. Knowledge of engineering practices and patterns for the full software development lifecycle. Comfortable with ambiguity and shifting pr

REMOTEpythonai
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Topgolf
📍 Schaumburg
7mo ago

Job Responsibilities Prepare and serve a diverse range of alcoholic and non-alcoholic beverages. Interact with guests in a friendly and welcoming manner, taking and delivering drink orders. Maintain a clean and organized bar area, including stocking supplies and cleaning glassware. Ensure that alcoholic beverages are served responsibly and in compliance with legal requirements. Monitor guest needs and respond promptly to their requests or concerns. Prepare garnishes, garnish drinks, and set up service areas for daily operations. Adhere to safety and sanitation standards at all times. Handle cash and process payments accurately. Collaborate with the bar team and other staff members to provide exceptional service. Critical Skills & Experience Requirements Proven experience as a bartender in a similar environment. Extensive knowledge of various drink recipes and mixology techniques. Excellent communication and customer service skills. Ability to handle cash and operate a point-of-sale system. Must be at least the legal drinking age in the jurisdiction of employment. Certification in responsible beverage service (where required by law). Bartender: Min $10.00 - Max $10.00 Tip Eligible Age Requirement: 21 and older Position Pay Range BENEFITS Free Play & 1/2 price food! Health, dental, vision, 401(k) playmaker match, free mental well-being platform – and that’s just for starters for those who qualify. View playmaker benefits here. ADA The above statements cover what are generally believed to be principa

human resourcescustomer service
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S
Stripe
📍 Singapore• Full-time
7mo ago

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team At Stripe, product development is an extremely collaborative effort between engineering, design, analytics, partnerships, legal, risk, and go-to-market teams. You'd be joining a group of experienced engineering, product management, strategy, and operations leaders who have a track record of successfully building large-scale businesses and products that collectively impact millions of users around the world. Stripe's payments products help accelerate many of the world's most innovative companies, and the Local Payment Methods team owns one of Stripe's most critical workflows, a platform that processes billions of dollars in payments annually. We're looking for a senior Technical Program Manager who's passionate about solving problems in the complex payments landscape, not only serving our customers but also our financial partners and regulatory stakeholders.Payments continues to see innovations such as an acceleration in payment methods coming online in the form of Buy Now Pay Later, Digital Wallets, and Crypto payments. Such payment methods provide more benefits to merchants and enable functionality that was not present before. The Local Payment Methods team builds the platform and enables payment methods that connect to millions of Stripe users globally. We're responsible for building new product experiences that help providers to improve their integration, boost their conversion, and grow their business. We also own the end-to-end journey

gitagilego
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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. 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

machine learningairust
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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. 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

machine learningaigo
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Westwing
📍 Munich• Full-time
7mo ago

JOIN OUR TEAM As a Senior FP&A Manager, you will be at the centre of Westwing's financial steering, partnering closely with the Finance Leadership Team and Executive Management on high-impact strategic and operational topics. Reporting to the Head of FP&A & Investor Relations, you will drive the evolution of our FP&A processes, deliver actionable insights, and support critical business decisions across both the Westwing Group and its legal entities. This position is permanent and based in Munich. WHAT YOU'LL DO Deliver end-to-end financial insights across the Group, enabling effective performance management and informed decision-making Support the Head of FP&A & Investor Relations in leading the day-to-day operations of the FP&A team, driving execution, cross-functional alignment, and strategic decision-making across the Group Monitor financial and operational performance, proactively identifying deviations from plan, assessing their drivers, and recommending corrective actions Drive the continuous optimisation of financial planning processes, including budgeting and forecasting, improving accuracy, efficiency, and scalability across the P&L, balance sheet, and cash flow YOU COME WITH 5+ years of experience in FP&A, controlling, or commercial finance, gained within management consulting, investment banking, or a large corporate environment Strong financial analysis and modelling skills, with a data-driven mindset and the ability to combine analytical rigour, attention to detail, and strategic thinking Experience or interest in AI tools and automation is a plus Proactive and self-driven attitude combined with a strong sense of ownership and the ability to work autonomously, lead end-to-end projects, navigate ambiguity, and drive continuous improvement and best practices in fast-paced environments Excellent communication and stakeholder management skills, with the ability to influence and collaborate effectively across all levels of the organisation Fluency in English

aifinance
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A
Airbnb
📍 Bengaluru• Full-time
8mo ago

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 BizTech team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices. The Difference You Will Make: We are looking for a hands-on expert to provide technical leadership in addressing BizTech’s diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams. You'll play a crucial role in understanding business needs, identifying the right data sources, designing efficient data models, and building reliable, scalable data pipelines. As technology continues to evolve, you'll help shape and maintain significant parts of BizTech’s critical data ecosystem. Your contributions will not only address complex business challenges but also help refine and advance Airbnb’s Data Engineering Paved Path, benefiting the entire data community at Airbnb. We believe in solving problems and contributing back to our data community to continuously improve. A Typical Day /Responsibilities: Lead the design, implementation, and testing of data systems, from architecture to production. Build batch and real-time data systems that support business needs and critical products. Ensur

pythonjavasql
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Block
📍 United States of America, United States• $217.8K – $326.8K/yr
8mo ago

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Financial Platform Eng team is part of Block’s platform engineering org, with a mandate to run the foundational financial technology infrastructure supporting all our brands. Our charter includes building scalable, reliable, and forward-looking financial infrastructure, from revenue streams to reconciliations to GL to street reporting. This team powers key business functions spanning the CFO org and aids at strategic decision-making. As a Software Engineer, you'll design and build the backend services, integrations, and workflow engines that keep the foundational financial operations running. Often you will focus on transforming complex financial requirements into scalable technology solutions — with a specific emphasis on AI enablement. We are an AI-driven engineering team — we use agentic coding tools across our entire development lifecycle, from design exploration through implementation and review, and we expect every engineer to do the same. Success in this role depends on strong collaboration with cross-functional partners including Accounting, FP&A, Tax, Procurement, Product, TPMs, Engineering, and Data teams. The ability to operate across these verticals while maintaining a horizontal architectural perspective is key to our impact. You Will Build financial operations and reporting infrastructure

javascriptpythonjava
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