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Location: London, United Kingdom Workplace: onsite Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. As an Assistant Facilities Manager, you will support the Building Manager in the day-to-day operation of university campus buildings, helping to ensure a safe, compliant, welcoming, and high-performing environment for students, staff, and visitors. Supporting our institutions by enabling them to focus on providing our students with the best education experiences. Your mission is to create an inspiring educational environment that enables our institutional stakeholders to succeed and every student to thrive. Summary of role: Act as the first point of contact for facilities-related enquiries, delivering excellent customer service to students, staff, visitors and stakeholders. Support the day-to-day operation of campus buildings, overseeing maintenance activities, contractor performance and essential facilities services including cleaning, security and waste management. Assist with health, safety and compliance activities, including inspections, audits, statutory testing, risk assessments and emergency procedures. Maintain accurate facilities records, compliance documentation and management system data, while supporting budgeting, reporting and sustainability initiatives. Contribute to building improvement, refurbishment and operational projects, identifying opportunities to enhance service quality, efficiency and the campus experience. Requirements Essential Facilities Management qualification, apprenticeship, or equivalent practical experience. Health & Safety qualification (or willingness to work towards one). Experience within facilities, estates, property or building services. Strong customer service, stakeholder management and communication skills. Good understanding of facilities management and workplace health & safety. Strong organisational, administrative and Microsoft Office skills. Ability to manage priorities, solve problems and work proactively. Desirable NEBOSH General Certificate and/or IWFM membership. Experience in higher education, commercial office or multi-occupancy environments. Experience using CAFM systems and supporting health & safety compliance. Knowledge of hard and soft FM services, contractor management and statutory compliance requirements. Experience working with Building Management Systems (BMS). What we offer: Contributory Pension Scheme - 5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions. Season Ticket Loan (T&C's apply) - spread the cost of your commute with an interest-free travel loan. Training & Development opportunities (T&C's apply) - access to short courses via FutureLearn and Group-wide professional development programmes. Staff Discount Scheme - via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc Employee Assistance Programme - confidential support for your wellbeing, whenever you need it. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: London, United Kingdom Workplace: onsite Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. As an Assistant Facilities Manager, you will support the Building Manager in the day-to-day operation of university campus buildings, helping to ensure a safe, compliant, welcoming, and high-performing environment for students, staff, and visitors. Supporting our institutions by enabling them to focus on providing our students with the best education experiences. Your mission is to create an inspiring educational environment that enables our institutional stakeholders to succeed and every student to thrive. Summary of role: Act as the first point of contact for facilities-related enquiries, delivering excellent customer service to students, staff, visitors and stakeholders. Support the day-to-day operation of campus buildings, overseeing maintenance activities, contractor performance and essential facilities services including cleaning, security and waste management. Assist with health, safety and compliance activities, including inspections, audits, statutory testing, risk assessments and emergency procedures. Maintain accurate facilities records, compliance documentation and management system data, while supporting budgeting, reporting and sustainability initiatives. Contribute to building improvement, refurbishment and operational projects, identifying opportunities to enhance service quality, efficiency and the campus experience. Requirements Essential Facilities Management qualification, apprenticeship, or equivalent practical experience. Health & Safety qualification (or willingness to work towards one). Experience within facilities, estates, property or building services. Strong customer service, stakeholder management and communication skills. Good understanding of facilities management and workplace health & safety. Strong organisational, administrative and Microsoft Office skills. Ability to manage priorities, solve problems and work proactively. Desirable NEBOSH General Certificate and/or IWFM membership. Experience in higher education, commercial office or multi-occupancy environments. Experience using CAFM systems and supporting health & safety compliance. Knowledge of hard and soft FM services, contractor management and statutory compliance requirements. Experience working with Building Management Systems (BMS). What we offer: Contributory Pension Scheme - 5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions. Season Ticket Loan (T&C's apply) - spread the cost of your commute with an interest-free travel loan. Training & Development opportunities (T&C's apply) - access to short courses via FutureLearn and Group-wide professional development programmes. Staff Discount Scheme - via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc Employee Assistance Programme - confidential support for your wellbeing, whenever you need it. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are looking for an experienced HR Systems Transformation & Technical PMO Manager / Senior Manager to drive the implementation and governance of global HR technology initiatives. This is not a traditional HRIS Business Analyst or system configuration role. This role will focus on digital transformation delivery, program management, process redesign, system governance, risk management and global adoption . The ideal candidate combines strong digital transformation and PMO capabilities with practical HR systems knowledge and can work effectively across HR, Engineering, Information Security, Compliance, Legal and regional teams. What You’ll Be Doing Drive global HR technology and process transformation initiatives , translating strategic priorities into structured implementation plans, milestones and measurable outcomes. Manage the day-to-day PMO and delivery activities for HR systems initiatives, ensuring project timelines, actions, risks and stakeholder decisions are actively managed. Partner with relevant stakeholders to ensure HR systems and processes meet data privacy, regulatory, security and audit requirements. Coordinate global system rollouts across HR, Engineering and regional teams, including UAT, defect tracking, implementation readiness, cutover, launch and post-launch stabilization. Partner closely with Engineering to ensure HR requirements, business rules, controls and launch expectations are clearly understood and incorporated into product delivery. Review existing HR processes and identify opportunities to simplify, standardize and automate workflows before introducing new technology. Develop and maintain HR system governance frameworks , including role-based access controls, permission matrices, approval structures and access review processes. Partner with relevant stakeholders to ensure HR systems and processes meet data privacy, regulatory, security and audit requirements. Maintain strong change-control, documentation and governance standards for system enhancements and process changes. Support the design and rollout of automation and AI-enabled HR processes , identifying where policies, compliance requirements, approvals, controls, and human intervention need to be embedded within the employee journey. Drive change management and adoption activities , including stakeholder engagement, communication, training, and rollout support across countries and HR teams. What We Look For In You Experience delivering HR transformation, HR technology, digital transformation, or enterprise systems programs in a Manager or Senior Manager capacity. Strong hands-on project / program management and PMO experience , particularly across complex, cross-functional initiatives. Good understanding of HR systems, processes and employee lifecycle workflows. Comfortable partnering with technical teams. Strong process improvement mindset with experience in workflow automation, digitalization or AI-enabled transformation . Experience with system governance, access management, controls, or data privacy is highly desirable. Able to operate with a high degree of ownership, push initiatives forward, challenge stakeholders constructively and manage multiple workstreams simultaneously. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote or Mississauga Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Team Summary This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products. Job Summary The Principal AI Machine Learning Platform Engineer will set the technical vision and strategy for the machine learning platform that powers ML and generative AI development across PointClickCare, partnering with Product and Engineering leadership to align that direction with product and business goals. As the technical authority for the ML platform, the Principal Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will provide technical leadership and mentorship to raise the engineering bar for ML systems company-wide. Key Responsibilities Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform. Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon. Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components. Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation. Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams. Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale. Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure. Qualifications & Skills Expert level in Python and Java with strong software engineering fundamentals. Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents. Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes). Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams. Preferred Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field. Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making Demonstrable history of leading and sustaining build out of critical cross-team systems Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring. Experience optimizing large model training and inference (including LLM serving) for performance and cost. #LI-AJ1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $179,000-$224 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Remote, USA Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Team Summary This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products. Job Summary The Principal AI Machine Learning Platform Engineer will set the technical vision and strategy for the machine learning platform that powers ML and generative AI development across PointClickCare, partnering with Product and Engineering leadership to align that direction with product and business goals. As the technical authority for the ML platform, the Principal Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will provide technical leadership and mentorship to raise the engineering bar for ML systems company-wide. Key Responsibilities Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform. Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon. Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components. Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation. Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams. Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale. Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure. Qualifications & Skills Expert level in Python and Java with strong software engineering fundamentals. Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents. Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes). Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams. Preferred Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field. Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making Demonstrable history of leading and sustaining build out of critical cross-team systems Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring. Experience optimizing large model training and inference (including LLM serving) for performance and cost. #LI-AJ1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $158,000-$198, 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Mexico Workplace: remote About the Opportunity We are seeking experienced customs and trade compliance professionals to support a project focused on Mexican import/export regulations, tariff classification, and customs compliance.  This project involves reviewing realistic customs scenarios, documenting how experienced professionals approach complex regulatory decisions, developing expert reference solutions, and validating technical analyses. The resulting expert materials will support the development and evaluation of advanced AI systems for professional workflows.  This is flexible, project-based consulting work intended for professionals who are actively practicing or have recent hands-on experience in Mexican customs and trade compliance.  Project Details:- Engagement Type: Independent Contractor / Project-Based (Flexible, Part-Time)  Location:Remote (Mexico)  Compensation: $12/hr  Scope of work: 10 hrs-12 hrs Weekly What You’ll Do Review realistic import and export scenarios involving Mexican customs regulations. Develop expert reference solutions for customs classification and trade compliance tasks. Document the reasoning behind customs decisions and regulatory interpretations. Review and validate alternative solutions for technical accuracy, completeness, and regulatory compliance. Identify missing information, incorrect assumptions, or inappropriate decision sequences. Reference applicable regulations where appropriate (e.g., Ley Aduanera, LIGIE, TIGIE, NOMs, RRNA, T-MEC). Collaborate with our project team to ensure expert knowledge is accurately represented. Required Qualifications 3+ years of recent, hands-on experience in customs brokerage, tariff classification, trade compliance, import/export operations, or a related field. Current or recent (within the past two years) practical experience with Mexican customs regulations and procedures. One or more of the following professional backgrounds: Licensed Agente Aduanal Clasificador Arancelario Trade Compliance Specialist Customs Compliance Specialist Import/Export Compliance Professional Customs or Trade Consultant Professional fluency in Spanish. Ability to clearly explain and document the reasoning behind regulatory and classification decisions. Preferred Experience Experience in one or more of the following areas is highly desirable: Tariff classification (Clasificación Arancelaria) LIGIE / TIGIE T-MEC / USMCA NOMs and RRNA Customs valuation Rules of origin Pedimentos VUCEM Customs audits or trade compliance reviews Experience using official Mexican customs resources (e.g., ANAM, SAT, SNICE, VUCEM) is preferred. Experience with commercial customs software is welcome but not required. Working proficiency in English sufficient to understand project instructions and communicate with the project team. Knowledge of U.S. customs regulations, HTS classification, or cross-border Mexico-U.S. trade operations is a plus. Why This Project Matters? Your expertise will help document how experienced customs professionals solve complex regulatory problems in practice. By capturing expert workflows and decision-making, you will contribute to the development of high-quality reference materials that support advanced AI systems for professional customs and trade compliance.

Location: Costa Rica Workplace: Remote The Senior Accountant supports all aspects of the monthly and annual financial close process. This role is responsible for preparing journal entries, reconciling balance sheet accounts, analyzing financial results, and ensuring transactions are recorded accurately and in accordance with GAAP and company policies. Key Responsibilities - Assist with all aspects of the month-end close process to ensure an accurate and timely close. - Prepare and post recurring, accrual, reclassification, and adjusting journal entries. - Prepare and review balance sheet account reconciliations, including researching and resolving discrepancies. - Perform monthly variance and trend analyses for assigned accounts. - Maintain supporting schedules for prepaid expenses, fixed assets, accruals, and other general ledger areas. - Review general ledger activity for accuracy, completeness, and proper account classification. - Partner with Accounts Payable, Payroll, Billing, and other team members to resolve accounting issues. - Assist with audit readiness, tax filings, and other compliance requests by preparing schedules and supporting documentation. - Maintain strong internal controls and complete assigned control activities. - Identify opportunities to improve, standardize, and automate close procedures. - Assist with special projects and other accounting responsibilities as needed. Qualifications - Bachelor’s degree in Accounting. - 3–5 years of progressive accounting experience, preferably including significant general ledger and month-end close responsibilities. - Strong knowledge of U.S. GAAP and accounting principles. - Advanced Excel skills and hands-on experience with accounting software (e.g., Oracle, NetSuite, Xero, or similar). - Strong analytical, organizational, and problem-solving skills. - Ability to manage multiple priorities and meet close deadlines. - High attention to detail and commitment to accuracy. - Effective English written and verbal communication skills. - CPA or CPA candidate or equivalent strongly preferred.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking a Tax Analyst to join our Tax team and support our growing global tax function. As a key member of the team, you will help support indirect tax compliance, registrations, audits, and special projects across the U.S. and international jurisdictions. This role is ideal for someone with a strong analytical foundation who enjoys working with data, solving complex problems, and learning new concepts. We are looking for a smart, detail-oriented professional who can develop expertise in indirect tax while helping build scalable processes and controls as WHOOP continues to grow. RESPONSIBILITIES - Support the global indirect tax compliance process, including U.S. sales and use tax, VAT, GST, and other international indirect taxes - Analyze large datasets to support tax filings, reconciliations, audits, and special projects - Prepare and review data used in tax returns and ensure information is complete and accurate - Assist with tax registrations and ongoing compliance requirements in domestic and international jurisdictions - Support indirect tax audits, notices, refund claims, and tax authority inquiries - Partner with Accounting, Finance, Operations, and external service providers to gather information and resolve issues - Identify opportunities to improve processes, strengthen controls, and automate recurring tasks - Assist with maintaining tax systems, reporting tools, and data workflows - Take ownership of assigned projects and independently investigate issues, identify root causes, and recommend solutions QUALIFICATIONS - 1-3 years of experience in public accounting, tax, audit, consulting, or a related analytical role - Big 4 experience strongly preferred - CPA license or progress towards CPA license preferred - Bachelor's degree in Accounting, Finance, Economics, Data Analytics, or a related field - Advanced Excel skills with experience working with large datasets - Experience with Alteryx, SQL, Power BI, Tableau, or similar data analytics tools is a plus - Strong analytical, problem-solving, and critical thinking abilities - Exceptional attention to detail and organizational skills - Strong written and verbal communication skills - Ability to work independently and manage multiple priorities in a fast-paced environment - Curiosity and willingness to learn new tax concepts and business processes - Experience with NetSuite, Stripe, Avalara, or other ERP and tax systems is a plus This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $65,000 - $90,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Maputo About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. GiveDirectly Mozambique is growing – delivering large lump sum transfers at scale, developing tech-enabled delivery models, and building the operational infrastructure needed to support a significantly larger program. We're looking for an Operations Lead to strengthen the support systems and staff to operate with excellence at scale. This role will lead procurement, logistics, HR, and administrative functions end-to-end, working closely with the Country Director and collaborating with Programs, Finance, Internal Audit and Safeguarding teams. The ideal candidate combines strong operational expertise – particularly in procurement, logistics, and HR – with the leadership skills to build and mentor a growing team. You thrive in a fast-paced, non-hierarchical environment, are comfortable making decisions with limited precedent, and bring a bias toward action and practical problem-solving. Reports to: Country Director Level: Senior Manager Travel requirement: Regular travel within Mozambique to field offices and program sites. Must be able to travel 1-2 times per year internationally for team retreats. What you'll do Build and lead the Mozambique operations team Lead the GD Moz Operations team, including procurement, logistics, administration, and HR functions. Provide line management to the Office & Procurement Manager and Human Resources Manager, while supporting them to build high-performing, appropriately specialised teams. Create clear roles, responsibilities, and standard operating procedures that enable the team to operate independently and at a high standard. Build the team's capacity over time, driving best practice and coaching managers to develop operations management excellence. Contribute to cost-effective systems for scale Help design and build systems and processes capable of supporting a larger program, identifying future needs (e.g. strategic partnerships, team capacity, technology solutions). Drive measurable improvements in back-office processes, running regular analyses on speed, cost, resilience and controls. Identify and implement opportunities to use AI and other digital solutions to improve the scalability of operations. Leadership to procurement, logistics and administration Oversee Procurement & Administration function through the Office & Procurement Manager, identifying bottlenecks and improving systems. Develop and support implementation of a procurement strategy to ensure an efficient, responsive, high-quality, and resilient supply of goods and services. Lead logistics and fleet management, ensuring efficient and reliable transport and distribution across Mozambique's operations. Oversee budgeting and procurement planning to ensure needs are forecast and operations run smoothly. Use data to conduct analyses to identify opportunities to improve procurement and logistics efficiency and value for money. Support compliance and risk management Proactively identify and mitigate operational risks, maintaining a risk register and putting mitigations in place. Ensure operations meet GiveDirectly's global policy standards and local regulatory requirements, adapting for the Mozambique context. Work with GiveDirectly's Corporate Audit function to support internal audits and build systems for a strong control environment across assets, inventory, fleet, procurement and office security. Closely collaborate with Finance teams for timely, efficient payment processes, facilitate external audits, and ensure compliance. Oversee HR Oversee HR function through the HR Manager, identifying bottlenecks and improving systems. Support the Country Director in implementing and iterating on GiveDirectly Mozambique's people strategy to scale the team while building talent density. Support the HR team to deliver initiatives that strengthen team culture and reinforce GiveDirectly's values as the organisation scales. Drive best practice across recruitment, learning and development, performance management, and HR operations. What you'll bring Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. Significant experience (6+ years) in operations management, with strong expertise in procurement and logistics. A track record of strengthening operational functions – taking systems from ad hoc toward structured, compliant, and scalable. Strong financial and budget management skills, with experience managing operational budgets and driving cost-effectiveness. Experience managing and developing teams, including recruiting and mentoring staff. Experience overseeing or working closely with HR functions (recruitment, performance management, learning and development, culture building). Comfort in a fast-paced and changing environment that involves a degree of ambiguity and requires figuring things out with limited precedent. Highly analytical with a strong attention to detail and a bias toward data-driven decision-making. Familiarity with INGO standards, donor compliance frameworks, internal controls, and audit processes. Strong cross-cultural communication skills and experience working effectively in matrixed organisations. Experience and aptitude leveraging new technologies and AI to advance operational effectiveness. Comfort with an agile and iterative approach. Knowledge of Mozambique's regulatory environment for NGO operations, procurement, and employment law is an advantage. Language Requirement: English fluency required; Portuguese fluency is a plus. Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for an M&A Tax Director to join our Tax Team at Anthropic. As the company pursues an active and growing pipeline of acquisitions, acqui-hires, data center investments, joint ventures and other strategic transactions, this role will be a core member of our transactions tax function, working closely with our M&A Tax Lead. You will support and lead tax workstreams across the deal lifecycle, from initial evaluation through post-closing integration, and serve as a trusted resource for our Corporate Development, Legal, and Finance teams. Beyond transactions, this role will support a wide range of strategic and operational tax matters. This is a high-impact role with significant ownership and a front-row seat to some of the most consequential transactions and tax planning work happening in AI today. If you're excited to help build a function from the ground up at a company working on one of the most important challenges of our time, we'd love to hear from you. Key responsibilities Lead and manage tax workstreams for acquisitions, mergers, acqui-hires, asset and stock purchases, corporate reorganizations, financing transactions, and minority investments, including tax due diligence, risk identification and quantification, and deal structuring analysis Partner with Corporate Development on deal pipeline evaluation, providing early-stage tax input to inform go/no-go decisions and deal economics Draft and review tax provisions in transaction documents, including purchase agreements, merger agreements, and ancillary deal documents Support post-acquisition tax integration planning, including entity rationalization, intercompany restructuring, and tax attribute analysis Advise on tax considerations for data center investments, build-to-suit arrangements, leases, and related infrastructure transactions, and coordinate with relevant team members on incentives, credits, and indirect tax matters Advise on the tax structuring of joint ventures, strategic partnerships, and REIT-related investment structures, including real estate and data center joint venture arrangements Help build and maintain transactions tax playbooks, due diligence checklists, and internal processes Coordinate with the tax compliance and provision teams to ensure clean handoff of closed transactions, including documentation of structure, elections, tax attributes, and reporting positions Prepare technical tax memoranda documenting transactions, material tax positions, and risk assessments to support internal sign-off, financial statement audit, and tax return filing positions Minimum qualifications JD or CPA M&A and transactional tax experience gained at a large law firm, Big 4 M&A tax practice, or in-house transactions tax team Strong technical expertise in federal and state tax rules governing corporate transactions, including Section 338, Section 368 reorganizations, and asset and stock acquisitions Experience running tax due diligence workstreams and quantifying tax exposures in transaction contexts Experience drafting and negotiating tax provisions in M&A transaction documents Experience supporting post-acquisition integration from a tax perspective, including entity rationalization and intercompany restructuring Preferred qualifications 7-10 years of tax experience, with significant M&A and transactional tax exposure LL.M. in Taxation or MST Experience providing general tax advisory support, including advising on commercial contracts, operational matters, and cross-functional tax questions Experience with joint ventures, partnerships, minority investments, revenue-sharing arrangements and financing transactions Experience with REITs, including REIT qualification and tax considerations for REIT joint ventures and real estate investment structures Experience with data center acquisitions, infrastructure transactions, or real estate tax considerations Tax experience at a high-growth technology company Knowledge of state and local tax (SALT) implications of transactions Experience with equity compensation tax issues in the context of acquisitions and acqui-hires Exposure to international tax aspects of cross-border acquisitions Exceptional communication skills, with the ability to translate complex tax issues into clear, actionable guidance for Legal, Finance, and Corporate Development partners Comfort with ambiguity and a willingness to help build processes from scratch in fast-paced environments Passion for Anthropic's mission to build safe, transformative AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Poland Company Background Our client is a leading global data center provider delivering hyperscale and edge infrastructure solutions across the Americas, EMEA, and Asia-Pacific. With 80+ data centers in 20+ countries, they partner with industry leaders such as Google, Oracle, NVIDIA, and Microsoft Azure to power the world’s digital infrastructure. Recognized as a USA TODAY Top Workplace for four consecutive years, the company continues to expand its global footprint and customer ecosystem. Project Description The project focuses on developing and maintaining an enterprise integration layer that connects the client’s operational platforms, cloud services, and corporate applications across a complex business environment. The specialist will help enable secure, reliable, and scalable communication between in-house and SaaS systems, supporting the automation and consistent flow of business data across the organization. Technologies MuleSoft / Azure Integration Services / UiPath / Workato REST, SOAP APIs Python, PowerShell, Bash ETL Event-driven architectures Azure Service Bus / AWS SQS / Kafka What You'll Do Build, test, deploy, and support integrations across enterprise systems, including ERP, HRIS, FinOps, ITSM, and in-house operational platforms; Design and implement scalable and secure data flows using MuleSoft, REST/SOAP APIs, event-driven patterns, ETL pipelines, and middleware platforms; Establish integration standards, reusable patterns, and governance practices to reduce point-to-point integrations and technical debt; Collaborate with HR, Finance, IT, cloud, and infrastructure teams to translate business requirements into technical integration solutions; Develop automation scripts and pipelines using Python, PowerShell, and Bash to streamline data transfers, system events, and operational workflows; Build and maintain CI/CD pipelines for reliable, testable, and auditable integration deployments; Implement monitoring, alerting, and observability for integration pipelines, troubleshoot data flow issues, and maintain technical documentation; Connect master data management and FinOps data flows with enterprise applications while supporting data accuracy, latency, and governance requirements; Support routine administration of enterprise systems, including user access updates and maintenance of system records; Contribute to preparing enterprise data for future AI/ML use cases; Job Requirements 7+ years of experience in enterprise integration engineering, systems architecture, or a related technical role, with progressively increasing scope; Solid experience with iPaaS or middleware platforms, such as MuleSoft, Azure Integration Services, UiPath, or Workato; MuleSoft experience is preferred; Hands-on experience designing and implementing REST and SOAP API integrations across heterogeneous enterprise systems; Experience integrating ERP, HRIS, ITSM, and/or FinOps platforms in a multi-cloud environment; Proficiency in scripting and automation using Python, PowerShell, and/or Bash; Working knowledge of ETL patterns, event-driven architectures, and message queue systems; Strong understanding of data security, access control, and zero-trust integration principles; Ability to translate ambiguous business requirements into concrete and well-documented technical designs; Experience collaborating across engineering, infrastructure, and business stakeholder groups; Nice To Have Experience working in data center, critical facilities, or industrial/OT environments, or the ability to rapidly learn domain-specific operational systems; Hands-on experience with FinOps tooling, such as Apptio or Azure Cost Management, and cost data pipelines; Experience administering enterprise back-office business systems, such as NetSuite, Coupa, Rippling, BlackLine, or Ironclad; Experience integrating Rippling, ADP, or comparable HRIS platforms with downstream financial and operational systems; Familiarity with ServiceNow or comparable ITSM platforms and their integration capabilities; Experience using AI-powered agentic coding tools and IaC technologies, such as Terraform or Bicep; Exposure to AI/ML pipeline architectures and data preparation workflows for intelligent operations; Experience with Agile and DevOps practices at scale; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Dublin, Ireland Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a In-Year Segmentation & Parenting Operations to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities In-Year Segmentation Management • Review and process in-year segmentation requests in accordance with approved business rules. • Validate eligibility, supporting evidence, and policy compliance for all submitted requests. • Assess segmentation impacts and ensure requests meet established thresholds and governance requirements. • Escalate complex or exception-based cases for appropriate review and approval. Parenting & Enrollment Remap Operations • Manage customer parenting corrections and enrollment remap requests. • Validate customer hierarchy structures and revenue attribution impacts. • Review account relationships to ensure correct ownership and reporting alignment. • Execute approved changes within established service level agreements (SLAs). Case Management & Quality Assurance • Maintain accurate case records and audit-ready documentation. • Review supporting documentation including proof of alignment, proof of execution, account ownership evidence, and system validations. • Perform quality reviews to ensure consistency and compliance across all requests. • Identify and resolve data discrepancies or policy conflicts. Stakeholder Collaboration • Partner with Sales Operations, Business Sales Operations (BSO), Finance, GSOC, and regional stakeholders. • Communicate case status, findings, and recommendations to requestors and business partners. • Support policy interpretation discussions and exception reviews. • Participate in operational reviews, office hours, and governance discussions. Reporting & Analytics • Monitor request volume, backlog health, turnaround times, and SLA performance. • Develop and maintain reports, dashboards, and operational metrics. • Analyze trends and identify opportunities for process improvement. • Support operational planning and business reviews with data-driven insights. Process Improvement & Automation • Identify opportunities to improve operational efficiency and scalability. • Support automation initiatives and system enhancements. • Contribute to testing, user acceptance validation, and deployment of new tools and capabilities. • Assist with process documentation and standardization efforts. Knowledge Management • Maintain process documentation, standard operating procedures, and training materials. • Support onboarding and training of new team members. • Share best practices and lessons learned with the broader operations team Strong analytical skills and ability to work with large datasets Very detail-oriented, process-driven, and comfortable following defined business rules/policies Experience in operations / business operations / sales operations / customer account operations Experience handling account segmentation, customer/account hierarchy, ownership structures, or reporting alignment Ability to validate requests against eligibility criteria, supporting evidence, policies, and governance requirements Experience with case management and maintaining accurate, audit-ready documentation Strong data quality / validation skills identifying discrepancies, incorrect mappings, hierarchy issues, or policy conflicts Ability to manage work against SLAs, turnaround times, and operational deadlines Experience working with cross-functional stakeholders, especially Sales Operations, Finance, Business Operations, or similar teams Strong written/verbal communication for explaining case status, findings, recommendations, and exceptions

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's engineers want to work in an AI-first way. What's missing isn't enthusiasm — it's the platform underneath it. Today everyone assembles their own agent config, context files, and MCP servers, so the good patterns stay trapped in individual setups instead of becoming defaults everyone inherits. You'll build that platform: the agent configurations tuned to our monorepo, the context and tooling layer that makes agents competent in our codebase, the evals that tell us which approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week one. You are not here to mandate how engineers use AI — you're here to make the good path the easy path. Success looks like teams adopting what you build because it beats what they'd cobble together themselves, not because a policy requires it. Platform engineer, not AI evangelist. Ship infrastructure, measure it, kill what doesn't work, let adoption be the referee. The playbook for AI-first SDLC doesn't exist at any company yet. You'll write ours. EXAMPLE INITIATIVES Agent substrate — Repo-level context infrastructure that makes agents competent in our codebase (CLAUDE.md/AGENTS.md http://CLAUDE.md/AGENTS.md conventions, architecture and domain context, and the tooling to keep it accurate as code moves). Internal MCP servers giving agents scoped access to CI, observability, incident tooling, deployment state, and docs. Shared skills, subagents, and hooks that encode Baseten workflows. Sandboxed environments where agents can build and test safely. The golden path — Project templates and onboarding that ship with AI tooling configured and working. Self-serve infrastructure so teams build their own agents without you as the bottleneck. Gateway, auth, cost controls, and audit logging for internal model access. The feedback loop — Eval harnesses that answer "is this config better than that one" against real Baseten tasks, not vibes. Instrumentation of AI tool usage and its downstream effects on cycle time, review latency, and change failure rate. Honest reporting, including on what you built that didn't pan out. Agents in the SDLC — Automation where agents earn their keep: PR review triage, test gap-filling, incident context assembly, migrations and refactors, codebase Q&A. Integrating agents into CI/CD with guardrails that make it trustworthy. RESPONSIBILITIES - Own the internal AI developer platform end to end — architecture, build, rollout, operation, measurement. - Evaluate and integrate third-party AI coding tools (Claude Code, Cursor, Codex, and whatever ships next quarter), and build the context layer that makes them work against our monorepo. - Build frameworks that let other engineers create their own agents without deep LLM expertise. - Establish the evaluation practice for AI-assisted development at Baseten, and use it to drive investment decisions. - Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate. - Embed with teams to find where AI genuinely unblocks them, then generalize those wins into platform capabilities. - Own the safety layer: permissions, secrets handling, audit trails, cost management. REQUIREMENTS - Have 4+ years of relevant industry experience building and enabling AI native SDLC - Strong proficiency in Python and/or Go, building tools other engineers depend on daily. - Hands-on experience with LLMs and agent frameworks — tool calling, MCP, context management, orchestration, failure handling. You've shipped something agentic that real people used, not just prototyped. - Deep personal fluency with AI coding tools and well-formed opinions about where they break down. - Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide. - Developer tooling, CI/CD, and Kubernetes/Docker fundamentals. - Comfort with ambiguity — this space invalidates its own best practices every few months. - Excellent written communication. Much of your leverage is docs, templates, and examples that scale beyond conversations you're in. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io. Why This Role Is Important to Arcadia Teams across Arcadia already put agents to work enabling clients' clinical, analytics, and operations teams. We use them heavily for our own work, too. Much of the platform foundation is in place. Now it has to handle longer-running workflows, client-facing agents, and PHI at scale. You'll join the team that owns the platform underneath these agent workflows. This isn't a solo mandate. Your influence comes from what you ship and what other teams build on top of it. How We Build Engineers at Arcadia own outcomes end to end: the problem, the design, the code, the rollout, and the result in production. We build alongside AI without handing it our judgment; our automation is governed and transparent, built to strengthen human expertise, not replace it. We have few layers, high agency, deep ownership. We adopt new tools and practices quickly, which lets us move faster than many startups while keeping the discipline a regulated environment demands. Our agent platform sits on top of governed access to AWS-based petabyte-scale lakehouse data with open table formats, distributed Spark processing, and Kubernetes services. The current implementation has an OSS agent harness and a gateway/router across model providers, all built on a third-party agent framework. What Success Looks Like Arcadia product teams should be able to spin up an agent quickly, ship it with confidence, and evolve it over time safely and cost-effectively. The platform provides the building blocks: persistence, workflows, memory, and identity-aware, compliant connectivity to tools. The platform also takes care of the quality attributes: caching, compaction, evals, guardrails, observability, resiliency, and safe handling of PHI. Teams adopt it because it's the fastest safe path, not because they're told to. You treat it as a product and can show the impact in numbers. Next: customers bring their own agents to Arcadia, and eventually assemble them from our building blocks. What You'll Be Doing Evolve and run our agent platform for both internal and client-facing use cases: the runtime, SDKs, templates, and paved paths that let teams ship agents on Arcadia's data. You write a meaningful share of the code. Stand up and harden the infrastructure underneath it: IaC, network topology, security controls, and the operational tooling that keeps it running, in close partnership with SRE. Make quality attributes platform defaults, not per-team projects: evaluation harnesses and regression gates, guardrails and policy enforcement, tracing and telemetry, and resiliency patterns for model, tool, and data failures, plus the inevitable provider churn. Design for a regulated industry: PHI isolation, least-privilege identity for agents, audit trails, and human review. Run the platform as an internal product: work with the teams building on it every week, and measure adoption and developer experience. Partner with domain teams on their hardest agent use cases, and turn what you learn into platform capability. Own it in production: SLOs, on-call, incident response, and postmortems. Set the technical bar for how engineers build with AI at Arcadia, and coach Senior Engineers through design partnership and review. Their trajectory is part of your impact. What You'll Bring Platforms you've built and run that other engineering teams adopted, from ambiguous beginnings through years of operation, with results you can show. Deep foundations in cloud-native distributed systems, data infrastructure, and service architecture. You reason from first principles. Hands-on infrastructure depth: IaC, cloud, security architecture, and running production systems. You can go deep with SRE, not just hand work off to them. Current, hands-on production coding, and the desire to keep doing it. Passion for developer experience (DevEx/DevProd) as a discipline. Writing clear enough to set standards beyond your own work, and influence that comes from credibility, not title. No healthcare background required. We hire builders from fintech, infrastructure, and consumer scale, and teach the domain. Would Love for You to Have Scars from production LLM/agent deployments beyond glossy demos (but we won't ask for 20 years of LLM experience). Pragmatism about the LLM ecosystem: excited by it, not distracted by it. Regulated-data experience (HIPAA, PHI, SOC 2 or HITRUST environments). A public voice through talks, writing, or open source. What You'll Get The opportunity to own one of Arcadia's most consequential platform domains and to set its direction for years. Direct influence on how Arcadia's engineering org adopts AI; your tooling, patterns, and standards become examples others build on. Remote-first across the US, with in-person hubs growing in Boston, DC, and NYC. A flexible culture with personality and heart, named a Built In 2026 Best Place to Work. Work that shows up in patients' lives. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: United States Workplace: Remote We’re looking for a Staff Software Engineer to help shape AI governance for developer tooling at Coder. This role sits on our AI Governance team, which builds and maintains two enterprise-grade components of Coder's AI governance stack. AI Gateway is a centralized LLM gateway that sits between coding agents and providers such as OpenAI or Anthropic, providing organizations with audit trails, token tracking, cost control, and centralized authentication. Agent Firewall wraps those agents with default-deny network policies, controlling which domains and methods they can reach inside workspaces. This team works across the full stack - from Go backend and React frontend to integrating with LLM provider APIs. Day to day, you'll be shipping features, hardening security boundaries, collaborating with enterprise customers on real-world policy needs, and contributing to Coder's open-source ecosystem.   What you'll do here - Design and build product features that push the standard for remote development in self-hosted environments - Create and improve upon popular open source projects that integrate with VS Code, JetBrains, and other developer tools - Champion best practices to both internal team members and external contributors - Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations - Document the design, implementation, and operations of systems for knowledge sharing within the team - Work alongside Customer Success teams to support Coder’s enterprise user base - Work with cutting-edge AI technologies to create seamless, painless developer experiences - Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment   What we're looking for - 8+ years of full-stack experience writing code in a professional setting, with 1+ year(s) writing Go (ideally in current or most recent position) - Proficiency in building distributed systems in Go - Excellent verbal and written communication skills - Exceptional debugging and troubleshooting skills, and the tenacity to drive a solution to a conclusion - You are self-motivated with a creative and analytical mindset   Our tech stack - Frontend: Typescript, React, Vite - Backend: Go, Postgres, GCP, Kubernetes, gRPC - Observability: Prometheus, Grafana - CI/CD: GitHub Actions - General: GitHub, Slack, Discord, Notion   Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience with TypeScript and React - You have a background in developer tooling, platform engineering, or IaC - You have a curiosity about the latest tech trends and what is going on in the world of developer tools ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Salt Lake City, Utah, United States About the Role iCapital is seeking a Cyber Case Manager to join the Global Information Security team within Cyber Security Operations. As the Security Operations Center (SOC) continues to grow, dedicated ownership of the case lifecycle has become essential to ensuring incidents and investigations are consistently tracked and driven to closure. The Cyber Case Manager serves as the single point of accountability for that lifecycle – from intake through resolution – ensuring every case is owned, prioritized, progressing, and documented. This individual-contributor will report to the Security Operations leader. Responsibilities Own the end-to-end lifecycle of security cases including intake, ownership assignment, progress tracking, and driving cases to resolution and closure. Serve as the single point of accountability for case status across the SOC, maintaining an accurate, prioritized, real-time view of all open incidents and investigations. Exercise authority to assign, reprioritize, and escalate cases across SOC Analysts, Threat Detection Engineering, and Incident Response to keep work moving and eliminate stalled cases. Enforce case-handling SLAs and quality standards; proactively identify aging, blocked, or at-risk cases and escalate to the Security Operations Leader. Coordinate cross-functional workstreams spanning incident response, DFIR, insider-threat cases, vulnerability-remediation tracking, audit and GRC findings, and eDiscovery and legal-hold requests. Manage case documentation and evidence integrity – ensuring timelines, actions, decisions, and artifacts are captured consistently and remain audit-ready. Integrate case workflows with SIEM/SOAR so alerts, enrichment, and automated actions flow into and out of the case record without manual re-keying. Produce case metrics and leadership reporting, including MTTD, MTTR, backlog, aging, closure rates, and SLA adherence for SOC leadership and stakeholders. Build and continuously improve case-management processes, intake criteria, and runbooks to increase throughput and reduce manager overhead. Facilitate case reviews, shift and regional handoffs, and post-incident lessons-learned, ensuring action items are tracked to completion. Leverage the SOC’s SIEM and SOAR platforms, with Jira and Confluence as the system of record. Collaborate with Legal, Compliance, Human Resources, SOC Analysts, Security Engineering, Cloud Security, Incident Response, and business stakeholders to support sensitive investigations, maintain confidentiality and chain of custody, and strengthen iCapital’s overall cyber resiliency. Participate in incident-driven after-hours coordination as needed to keep high-priority cases moving. Qualifications 3–6 years of experience in cyber security operations, incident response, or security case and program management Bachelor’s degree in information security, computer science, or information technology is preferred Experience in a regulated industry; financial services or fintech is preferred Hands-on experience managing incident or case queues in a SOC or incident response environment Working knowledge of SIEM and SOAR platforms and how alerts and cases flow through them Proficiency with Jira and Confluence for workflow management, tracking, and documentation Strong understanding of the incident response lifecycle and frameworks such as NIST and MITRE ATT&CK Demonstrated ability to coordinate across teams and drive work to closure through influence and follow-through, without direct reporting authority over those teams Familiar with handling sensitive investigations, evidence handling, and chain-of-custody principles Exceptional organization, prioritization, and attention to detail while managing many concurrent cases Excellent written and verbal communication skills, with the ability to report status clearly to both technical and executive audiences Relevant certifications (i.e. GCIH, GCFE, PMP, ITIL, or Splunk and SOAR) are preferred Experience with dedicated case-management or SOAR platforms (i.e. ServiceNow SIR, TheHive, Splunk SOAR and Phantom) Exposure to insider-threat, DFIR, eDiscovery, legal-hold, or GRC and audit workflows Familiar with cloud environments, AWS is preferred and knowledge of Agile frameworks is preferred Benefits The base salary range for this role is $100,000 to $130,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

About our Machine Learning Business Banking team: Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK’s most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs. We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We’re building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo. ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively. As a Lead Machine Learning Scientist in Business Banking, you’ll help build and ship models that power the next generation of Business Banking experiences. You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses. Whether it’s helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs. What you'll be working on As a Lead Machine Learning Scientist, you’ll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences. You’ll: — Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum. — Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers. — Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics. — Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs. — Design robust evaluation and monitoring so we can ship responsibly and measure impact in production. — Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting). — Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor. — Set technical standards, mentor others, and support experimentation and iteration. You should apply if: — What we’re doing here at Monzo excites you! — You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company. — You have experience developing and shipping state-of-the-art ML models to production and delivering business impact. — You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production. — You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so. — You speak Python fluently and have extensive, hands-on experience with scikit-learn. — You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices. — You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity. — You want to be involved in building a product that small businesses use to run and manage their financial lives every day. — You have a product mindset: you care about customer outcomes and you want to make data-informed decisions. — You’re excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain. — You’re adaptable, curious and enjoy learning new technologies and ideas. — You’re excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability. — You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use. — You’re thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter. Nice to haves: — Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications. — Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software. — Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences. — Commercial experience writing critical production code and working with microservices. — Experience designing experiments, A/B tests or other approaches to measure product and customer impact. — Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important. The interview process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! — 30 minute recruiter call — 45 minute call with hiring manager — Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What’s in it for you: — We can help you relocate to the UK — We can sponsor visas — This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). — We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. — Learning budget of £1,000 a year for training courses and conferences — And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're hiring our first dedicated international tax professional in Asia-Pacific, based in Singapore. You'll be a key member of Anthropic's tax team, reporting to our Head of International Tax Operations / Business Advisory and working closely with tax colleagues in Dublin and our San Francisco headquarters. As APAC Tax Lead, you'll own direct tax compliance and advisory across our Asia-Pacific entities and operations (Japan, Korea, India, Singapore, Australia, Taiwan) and help build tax infrastructure to support Anthropic's rapid international expansion. Key responsibilities Lead APAC direct tax compliance, working with external advisors (KPMG, PwC, Deloitte) to ensure timely and accurate filings across all jurisdictions Support transfer pricing documentation and intercompany transactions for APAC entities, including cost-plus arrangements and intercompany service agreements Manage withholding tax positions and treaty relief on cross-border flows, including customer receipts and vendor payments Advise on permanent establishment risks, entity structuring, and operational tax considerations as Anthropic expands APAC commercial and infrastructure activities Support the tax side of regional infrastructure expansion, including data center, colocation, and subsea cable arrangements and new entity formations Partner with indirect tax personnel on VAT/GST and consumption tax matters to align on tax strategy and overall compliance requirements Partner with Finance, Legal, and People teams on payroll taxes, equity compensation, and employee mobility matters Build relationships with local tax authorities and manage any inquiries or audits Contribute to global tax projects including public company readiness, SOX compliance, and tax technology implementations Working with indirect tax team on advisory and compliance and audit assistance Minimum qualifications Strong technical knowledge of corporate tax in one or more major APAC jurisdictions and cross-border tax issues across the region Deep experience with transfer pricing documentation, intercompany agreements, and withholding tax and treaty analysis CPA, CA, CTA, or equivalent professional qualification Excellent communication skills and ability to work across time zones with US and European colleagues Self-starter who thrives in ambiguity and can build processes from the ground up Preferred qualifications 12+ years of international tax experience, ideally with a mix of Big 4/advisory and in-house roles Exposure to technology or high-growth company tax matters Experience with the tax aspects of data center or infrastructure buildouts Knowledge of Pillar Two/global minimum tax rules and digital services taxes Experience with Indian direct tax matters, including permanent establishment and withholding tax issues Experience supporting IPO readiness or public company tax compliance Regional language skills Experience with systems buildout or automation Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.