Вакансии

Location: Virtual Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. 💥 What will you do? ● Own one of our core products (crypto-forensics or crypto transaction monitoring), its roadmap and vision ● Collaborate closely with product designers and engineers to launch easy to use solutions to solve complex problems ● Coordinate with customers to understand their requirements, and help evolve our existing products based on customer feedback ● Serve as the central point of contact that connects sales, marketing and engineering teams and helps in cross-collaboration 📜  What process do we follow? (<2 weeks) 1. Application: We will keep it simple. You can apply directly through our job portal. All we ask for is a Resume. Additional Portfolio links such as Github, Medium or a Personal website are welcome 2.     Screening: We will screen your profile and get back with a decision asap 3.     Interviews: We will have two rounds of interviews. Round one (30mins) Intro call that will focus on getting to know each other better and identifying if this could work for both of us. Round two (60mins) is a technical round where we will review your prior experience and discuss how you would build systems to solve a problem we will introduce on call. An additional third round-technical  may be decided based on the previous rounds  4.     Meet the Team: Culture-Fit is essential for both you and us. So we always go the extra mile, and you will meet two other colleagues on the team who you would be working with. Here, you could discuss questions on stack, culture and some other things you might be interested in if you had a consideration for a new role. 5.     Offer Rollout: If all looks well, we will open a bottle of champagne.  📢 Other information you may want to consider  ·  We will be flexible for the rest of the pandemic and work remotely; however, we are not a remote-first company, and the work location would be Bangalore when things settle. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: New York Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. 💥 What will you do? ● Own one of our core products (crypto-forensics or crypto transaction monitoring), its roadmap and vision ● Collaborate closely with product designers and engineers to launch easy to use solutions to solve complex problems ● Coordinate with customers to understand their requirements, and help evolve our existing products based on customer feedback ● Serve as the central point of contact that connects sales, marketing and engineering teams and helps in cross-collaboration 📜  What process do we follow? (<2 weeks) 1. Application: We will keep it simple. You can apply directly through our job portal. All we ask for is a Resume. Additional Portfolio links such as Github, Medium or a Personal website are welcome 2.     Screening: We will screen your profile and get back with a decision asap 3.     Interviews: We will have two rounds of interviews. Round one (30mins) Intro call that will focus on getting to know each other better and identifying if this could work for both of us. Round two (60mins) is a technical round where we will review your prior experience and discuss how you would build systems to solve a problem we will introduce on call. An additional third round-technical  may be decided based on the previous rounds  4.     Meet the Team: Culture-Fit is essential for both you and us. So we always go the extra mile, and you will meet two other colleagues on the team who you would be working with. Here, you could discuss questions on stack, culture and some other things you might be interested in if you had a consideration for a new role. 5.     Offer Rollout: If all looks well, we will open a bottle of champagne.  📢 Other information you may want to consider  ·  We will be flexible for the rest of the pandemic and work remotely; however, we are not a remote-first company, and the work location would be Bangalore when things settle. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Задачи: — Разработка и развитие аналитических отчётов и дашбордов в Power BI. — Подключение к различным источникам данных, подготовка и преобразование данных с использованием Power Query (M). — Разработка сложных вычислений и мер на DAX. — Проектирование, создание и оптимизация моделей данных SSAS Tabular. — Разработка и оптимизация SQL-запросов, представлений (VIEW), хранимых процедур. — Разработка и совершенствование процессов загрузки и обработки данных (ETL/ELT). — Анализ и устранение проблем производительности отчётов и моделей данных. — Работа с большими объёмами данных: модели могут содержать 200–300 млн строк. — Проверка корректности данных, анализ расхождений и реализация новых бизнес-показателей. Требования: — Практический коммерческий опыт разработки в Power BI. — Уверенное владение Power Query и понимание языка M. — Хорошее знание DAX: меры, вычисляемые столбцы, контекст фильтрации и контекст строки, сложные вычисления. — Понимание принципов построения моделей данных и связей между таблицами. — Опыт работы с Import и DirectQuery. — Уверенный SQL: JOIN, GROUP BY, WHERE, HAVING, UNION / UNION ALL, временные таблицы. — Умение писать, анализировать и оптимизировать SQL-запросы. — Опыт работы с MS SQL Server. — Практический опыт разработки и оптимизации процессов загрузки данных. — Способность самостоятельно вести задачу или проект от проработки требований до готового решения. Будет преимуществом: — Опыт работы с SSAS Tabular: создание моделей с нуля и оптимизация существующих. — Опыт работы с большими моделями данных (от 50 млн строк, преимущественно 200–300 млн). — Понимание VertiPaq, кардинальности, партиционирования и инкрементального обновления данных. — Опыт использования Performance Analyzer, DAX Studio, Tabular Editor, VertiPaq Analyzer и других инструментов диагностики. — Опыт работы с Azure Analysis Services. — Опыт работы с другими СУБД помимо MS SQL Server. — Знакомство с Git, CI/CD и практиками code review. Условия: — Официальное оформление в аккредитованной ИТ-компании. — Полностью удалённый формат работы. — Конкурентный уровень заработной платы, обсуждается индивидуально по результатам собеседования.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we’ve been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. We are looking for a Process & Intake Analyst to join our newly formed Operations team in Cyprus. Operations exist to make our fast-growing company easier to work in: clear routes for asking for things, clear owners for the things that matter, and rules people can actually find. Job Responsibilities Design and run the request front door. Map how cross-functional requests arrive today, define request types and intake forms, set triage and routing rules, and launch the route in phases, starting with the highest-volume request types. Make response times measurable. Define service levels with the teams that receive requests, instrument the route so that volumes, waiting time and resolution time can be reported, and use the data to fix the bottlenecks it reveals. Build and maintain the policy and process repository. Inventory existing policies and process documents, consolidate duplicates, retire stale content and bring each item into a consistent structure with an owner, a version, an approval status and a review date. Run the review cycle. Make sure reviews happen on time, chase overdue items, and report on the health of the repository, so that it stays current rather than decaying after launch. Create and maintain the ownership register. Record named owners for cross-functional processes, systems and vendor relationships, resolve gaps and overlaps with the departments involved, and escalate where no owner can be agreed. Map and improve processes. Document current-state workflows, identify duplicated steps, manual handoffs and unnecessary approvals, and propose and implement simpler routes with the people who run them. Configure and automate. Set up workflows, forms, templates, dashboards and simple automations in the company's existing tools, and prototype small helpers with scripting or AI assistants where they remove manual work. Make the systems easy to use. Write clear guidance, run short onboarding sessions for teams adopting the front door or repository, and collect and act on feedback. Keep the systems portable. Collaboration tooling is changing over the next year, so design structures and content that can move between platforms without being rebuilt. Report to the Head of Operations on adoption, service levels, repository health and the process issues the data surfaces. You’ll thrive here if you have: 4+ years in business process analysis, operations, service management or a similar role in tech and/or cross-functional environments. Proven experience designing and launching an intake, request management or service-desk process that other teams adopted. Experience building or running a structured knowledge base, policy library or document-control process, with clear ownership and review cycles. Strong process-mapping and analytical skills: turning a messy current state into a simple, documented and agreed target state, and proactively identifying gaps in ambiguous environments. Hands-on configuration of workflow and service-desk tools (Jira Service Management, Confluence or similar), including forms, workflows, automations and reporting, plus comfort with spreadsheets, light scripting and AI assistants for prototyping and automation. Ability to define and track operational metrics and present them clearly to managers and leadership. Strong facilitation, stakeholder management and written communication skills, with the persuasiveness to drive adoption in teams that do not report to you. Nice to have Experience with ITIL or similar service management practices, or with a formal document-control or compliance framework. Experience migrating a knowledge base or service desk between platforms. Experience in an international organisation where processes may differ between departments. Familiarity with conversational or AI-assisted front doors, such as chat-based intake or self-service answers drawn from a knowledge base. Conditions We know that great talent deserves great conditions, so here’s what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family. Corporate mobile plan (unlimited in Cyprus with roaming included). Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (40 min); Technical interview (1 hour); Final interview (1 hour); Recommendations check; Job Offer.

Location: Remote This role may require in-person interview/s. About Osano: Osano is an innovative B-Corporation built around a simple belief: privacy is a fundamental right. Since day one, we’ve been focused on giving modern enterprises the ability to innovate quickly, stay competitive, and earn customer trust by respecting data privacy and complying with consent guidelines. Our products help organizations operate confidently in a rapidly evolving regulatory and technological landscape. About the Role: We’re hiring a Senior AI Engineer to build and improve Osano AI, our intelligent privacy assistant. As part of the Osano AI team, you will take capabilities from first idea to production, with an emphasis on delivering capabilities that are reliable, measurable, and trustworthy. This role goes beyond wrapping APIs or building chat interfaces. We are looking for an engineer who has shipped LLM-powered systems that real users depend on. That means that you’ve dealt with hallucinations, latency, cost, evaluation, and tricky edge cases within agentic systems, and you know what it takes to keep these non-deterministic systems working after launch. You will often work on problems that aren’t well-defined. Success here depends on how you think, communicate, and work with others as much as on what you build. This position is ideal for someone who is highly technical, thrives in ambiguity, takes ownership of 0→1  initiatives, wants to have an outsized impact, and believes responsible AI is non-negotiable. Responsibilities: Build and ship production AI Design, build, and maintain agentic features across our products, from early prototype to scaled production deployments. Build retrieval (RAG) systems that build trust through verifiable sources. Build agentic and multi-step workflows with guardrails, observability, and structured outputs. Balance quality, latency, reliability, and cost in production. Measure and improve AI systems Build thorough evaluation frameworks that cover accuracy, grounding, latency, and reliability, utilizing both offline evaluations and real-world production signals. Deploy data-driven methods to decide what to ship, how to fix it, and what to stop doing. Continuously refine deployed systems based on measurable outcomes. Collaborate and communicate Work closely with product managers, engineers, privacy experts, and other stakeholders to decide what to build, how to build it, and why. Write clear design documents and run effective technical discussions. Privacy-First Development Embed privacy-by-design principles across the AI stack. Ensure compliance, data sovereignty, and secure handling practices. Collaborate cross-functionally to align AI capabilities with regulatory standards. About You: You’re curious, self-directed, and motivated to learn quickly. You’re comfortable navigating ambiguity and creating clarity for others. You’re excited about privacy, responsible AI, and building trustworthy technology. You are willing to relentlessly pursue the best, most responsible ways to leverage AI—without overselling its capabilities or ignoring its limitations. Must-Haves: 5+ years of professional software engineering or AI/ML experience Demonstrated experience building and running agentic systems in production with real users, not just prototypes or internal demos. Deep technical understanding of LLM usage and orchestration beyond prompt engineering. Proven experience building complex RAG systems and autonomous AI agents. Clear written and verbal communication. You can explain technical trade-offs to both engineers and non-technical stakeholders. Concrete examples of getting from ambiguity to results. Nice-to-Haves: Strong expertise in the Python AI ecosystem, including FastAPI and LangGraph. Experience with Knowledge Graphs to enhance RAG precision Familiarity with Privacy-Enhancing Technologies (PETs) Experience with data anonymization techniques Background in compliance-heavy or regulated environments Why Us: We're a welcoming team that's dependable, curious, moves fast, and full of talented people We're a B-corporation with a mission that matters, in a high-growth space with significant potential You'll have access to our training program, well-defined career paths, and a leadership team that values professional development Benefits: Competitive-pay compensation and ownership interest/equity Unlimited paid time off, plus a requirement to take at least two weeks off per year We're a Best Place for Working Parents and offer paid parental leave for all new parents Osano sponsors individual premiums on base plans at 100% and dependent premiums at 50% for Medical, Dental, and Vision insurance via Aetna A fully and permanently remote company, so you can work from anywhere in the U.S. Receive a MacBook and $600 to craft your home workspace Annual company trip designed to foster connection, creativity, and fun Mental health benefits with free memberships to mindfulness and talk therapy services A Bit More About Osano Osano is a leading data privacy platform that helps organizations quickly and confidently comply with laws like GDPR, CCPA, and other global privacy regulations. From consent management to vendor risk monitoring, Osano makes complex privacy tasks refreshingly simple, so companies can focus on what they do best, while we handle the rest. We’re backed by top-tier investors including Baird Capital, Jump Capital, and LiveOak, and we’re scaling fast with a multi-year runway and ambitious growth plans. We’ve also been recognized as a Great Place to Work for four years running, with 97% of employees saying Osano is a great place to work. As we grow, we're looking for individuals who lean into modern technologies and smarter systems to drive efficiency, clarity, and speed; both in our product and in how we operate. If you're excited by the idea of helping build a high-growth, privacy-first company that embraces thoughtful automation, emerging tech, and intentional collaboration, we’d love to hear from you. Osano is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by applicable law.

Workplace: remote Requirements Minimum of 2 years of experience in a Solution Architect role with a focus on Microsoft Dynamics 365 F&O Strong expertise in Dynamics 365 Finance and Operations modules, including Finance, Supply Chain Management, Manufacturing, and others (not less than 5 years) Experience in presales activities, including effort estimation, solution presentations, and delivering customer demos Experience in designing and implementing large-scale ERP solutions Proficiency in integrating Dynamics 365 Finance & SCM  with other Microsoft and third-party applications Excellent understanding of business processes in finance, supply chain, and operations Pre-sales experience Experience in undertaking demonstrations and presentations to prospective clients Strong leadership skills with the ability to manage and mentor a technical team Exceptional communication skills with the ability to translate complex technical concepts into business terms Willingness to travel Nice to have Certifications in Microsoft Dynamics 365 (MB-700, MB-335, MB-330, MB-310) Strong programming skills using: X++, C#, .NET, and SQL Familiarity with SOAP, REST, OData Experience with Logic Apps and Azure Cloud Experience integrating applications with external systems Knowledge of Microsoft Life Cycle Services and Data Migration Framework Experience with cloud-based ERP solutions Familiarity with Azure and other Microsoft cloud technologies Knowledge of Power Platform and its integration with Dynamics 365 We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Naira hh@itransition.com

Location: Cyprus; Poland; Spain; Serbia; Latvia; Georgia We are looking for an experienced Head of Custody & Compliance to lead and develop our digital asset custody, compliance infrastructure, and financial operations. We need someone with deep, hands-on experience in crypto custody, AML/KYC, transaction monitoring, and digital asset operations. You should understand how these systems work in practice, how to build them at scale, and how to balance regulatory requirements, security, and customer experience. This is a leadership opportunity for someone who wants to go beyond traditional compliance management and take ownership of an entire business direction. You will work closely with our engineering, product, legal, and executive teams to build secure, efficient, and scalable financial infrastructure. Responsibilities Custody & Digital Asset Operations Lead and develop custody infrastructure and digital asset operations. Oversee cryptocurrency deposits, withdrawals, and transaction processing. Manage relationships with custody providers such as Fireblocks, Copper, BitGo, and similar platforms. Ensure the security, reliability, and scalability of digital asset operations. Identify and resolve operational risks, bottlenecks, and critical incidents. Compliance & AML/KYC Lead the operational implementation of KYC, AML, and Travel Rule requirements. Develop and optimize customer verification and transaction monitoring processes. Build effective compliance workflows, including case management, escalation procedures, and operational controls. Improve compliance efficiency through automation and technology. Work closely with Legal, Risk, and relevant compliance stakeholders to ensure regulatory requirements are properly implemented. Fraud Prevention & Risk Management Develop and improve fraud detection and prevention processes. Oversee transaction monitoring and suspicious activity detection. Reduce fraud exposure while minimizing unnecessary restrictions for legitimate customers. Monitor operational risks and continuously improve internal controls. Providers & Infrastructure Manage relationships with custody, KYC, AML, and blockchain infrastructure providers. Evaluate and select technology solutions. Negotiate commercial terms and service agreements. Work with engineering teams on integrations and infrastructure improvements. Leadership & Business Development Lead the Custody & Compliance direction and its operational development. Manage priorities, resources, and cross-functional initiatives. Collaborate with engineering and product teams to improve existing solutions. Define and monitor operational performance metrics. Contribute to product strategy and business decisions related to custody and compliance. Work directly with senior leadership on strategic initiatives. Requirements Strong professional background in crypto custody, compliance, AML/KYC, or digital asset operations. Experience working in a cryptocurrency exchange, custody provider, crypto wallet, digital asset platform, or crypto-focused financial institution. Deep understanding of AML/KYC, transaction monitoring, Travel Rule, and crypto compliance processes. Practical experience with custody infrastructure and digital asset transaction flows. Experience working with custody, compliance, or blockchain infrastructure providers. Proven ability to build, manage, and optimize operational processes. Experience leading teams or complex cross-functional initiatives. Strong understanding of operational and regulatory risks in the crypto industry. Ability to work effectively with technical and non-technical stakeholders. Nice-to-have Experience with Fireblocks, Copper, BitGo, or similar custody solutions. Experience with Chainalysis, TRM Labs, Sumsub, or similar compliance platforms. Experience managing product development or working closely with engineering teams. Understanding of product metrics, customer conversion, and business economics. Experience scaling custody or compliance infrastructure in a fast-growing crypto company. Previous experience as Head of Compliance, Head of Custody, Head of Crypto Operations, or similar. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: Cyprus; Georgia; Poland; Spain; Serbia; Latvia We are looking for an Engineering Director to own the technology platform behind the GoMining ecosystem. This is a senior leadership role for someone who combines deep engineering expertise with strong product and business thinking. You will own the Platform end-to-end — technology strategy, architecture, engineering organization, roadmap, reliability, delivery, and its impact on the wider business. The Platform powers multiple GoMining products and includes core application infrastructure, authentication and authorization, integrations, shared services, analytics infrastructure, user restrictions, native applications, reliability, and other foundational capabilities. This is not a role where success is measured simply by uptime, delivery, or engineering output. We expect the Engineering Director to understand where technology creates or limits business value, make trade-offs between long-term architecture and immediate commercial priorities, and build a platform that allows the entire company to move faster. Responsibilities Platform Strategy & Architecture Own the technology strategy, architecture, and roadmap for the GoMining Platform. Build scalable shared infrastructure used across multiple products and engineering teams. Define which capabilities should be centralized at Platform level and which should remain within individual product teams. Drive major architectural and technical decisions. Identify scalability and architectural bottlenecks before they become business-critical. Balance long-term platform investments with immediate product and commercial priorities. Reliability & Engineering Excellence Own platform reliability, availability, latency, scalability, and operational performance. Define and improve SLAs, DORA metrics, engineering performance, and incident-management practices. Improve release stability, engineering velocity, and system resilience. Lead post-incident improvements and eliminate systemic reliability issues. Maintain a high engineering bar without unnecessary bureaucracy. Core Platform Capabilities Own shared authentication, authorization, registration, and 2FA infrastructure. Develop common account controls, user restrictions, and security mechanisms. Own integrations and shared backend capabilities required across GoMining products. Develop shared analytics and event infrastructure. Support common infrastructure across web and native applications. Partner with Product, Design, Security, and engineering teams on cross-company capabilities. Product & Business Impact Platform at GoMining is not an isolated infrastructure function. You will work directly with product leaders, General Managers, and C-level stakeholders to understand where technology can unlock growth and where platform limitations are holding the business back. Prioritize engineering initiatives based on technical risk and business impact. Understand how platform decisions affect revenue, conversion, customer experience, and product velocity. Identify technical changes that can unlock meaningful business results. Balance competing priorities across multiple product teams. Make clear trade-offs between speed, scalability, reliability, security, and business value. Measure Platform not only through technical metrics, but through how effectively it accelerates the company. Engineering Leadership Lead and develop the Platform engineering organization. Own team structure, hiring, performance, priorities, and execution. Build a culture of strong engineering ownership and accountability. Stay close enough to architecture and technology to challenge decisions and make informed trade-offs. Develop strong technical leaders within the team. Raise the technical and execution bar across the organization. AI-First Engineering Actively use AI tools and agents in your own work. Introduce AI-assisted workflows across engineering, specifications, QA, analytics, and operations. Identify opportunities to automate repetitive engineering work. Use AI to increase engineering velocity and quality. Build a team where AI becomes part of the engineering operating model. Requirements Experience as an Engineering Director, Head of Engineering, Head of Platform, VP Engineering, CTO, or in a comparable senior engineering leadership role. Strong technical background and the ability to engage deeply in architecture and engineering decisions. Experience building or operating complex platforms, shared services, or infrastructure used by multiple products or engineering teams. Proven experience leading engineering teams and delivering complex cross-functional initiatives. Strong understanding of distributed systems, high-load environments, reliability, scalability, incidents, and security. Experience with authentication, authorization, integrations, identity, payments infrastructure, or other shared platform capabilities. Strong product and business mindset — you understand not only how something should be built, but why it matters. Ability to prioritize based on business impact rather than technical complexity alone. Experience working directly with senior product, business, and executive stakeholders. Strong data-driven approach to engineering and decision-making. Hands-on experience with modern AI tools and agents. Experience in fintech, payments, crypto, marketplaces, gaming, or another high-scale technology environment is a strong advantage. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

В клинику Prof Med Service срочно требуется эндокринолог.

Location: Paris, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team As a Product Analytics Engineer Intern, you will join the Product Analytics team supporting Ledger Wallet across Product, Business, and Growth/CRM teams. Reporting directly to the Product Data Analytics Manager, you will play a key role in ensuring tracking data quality, and scaling our analytics infrastructure to support company-wide data-driven decision-making. What you’ll be doing - Cross-Functional Collaboration: Work closely with Product Managers, Data Engineers, and Data Scientists to deliver insights and support Growth/CRM personalization pipelines. - Experimentation & A/B Testing: Specify and support A/B test setups, funnel evaluation, and advanced statistical analysis for product features. - AI Governance & Automation: Help establish governance, guardrails, and custom skills for users querying analytics platforms (Mixpanel, Snowflake MCP) via AI tools, and contribute to building end-to-end AI-assisted tracking workflows. - Tracking Quality & Investigations: Triage, investigate, and follow up on tracking issues to maintain data sanity. - Documentation & Enablement: Develop comprehensive documentation and data models (dbt/data mart) to empower stakeholders - Privacy & Compliance: Maintain standard privacy-aware constraints across all data modeling and analytics workflows. What we're looking for - Final-year student in Engineering, Computer Science, Data Science, or a related technical field seeking an end-of-studies internship. - Strong proficiency in SQL, Python scripting, and data modeling concepts. - Analytics engineering mindset with a focus on data quality, reliability, reproducibility, and documentation. - Understanding of A/B testing methodologies, statistical analysis, and funnel evaluation. - Familiarity with Product Analytics tools (e.g., Mixpanel, Amplitude) and data visualization tools is a strong plus - Hands-on experience or deep curiosity regarding AI agents and workflow automation is a strong plus. - Excellent written and verbal communication skills in English. - Interest in Web3, digital assets, and crypto is a plus. At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Location: Remote Workplace: remote About Collectly Collectly is a fast-growing healthcare technology company transforming revenue cycle management (RCM) through AI-driven automation. Millions of patients navigate inefficient billing systems every day, while providers face delayed payments, rising administrative burden, and operational complexity. Collectly applies artificial intelligence to automate workflows, accelerate cash flow, and modernize the patient financial experience; enabling healthcare organizations to operate more efficiently and focus on delivering care. There could not be a hotter space to play in.  Healthcare is a $4.9T industry and is adopting AI technology at 2.2x the rate of the rest of the economy.  RCM is at the heart of this transformation as it has a clear and demonstrable ROI to our customers. The Opportunity Every patient who receives a medical bill has questions: what is this charge, will my insurance cover it, can I pay it in parts, why is it different from last time. How those questions get answered decides whether the patient pays, calls back, or gives up. Collectly's AI agent, Billie, answers those questions today across chat, SMS, and voice for hundreds of medical practices nationwide. We are looking for a Product Manager to own the patient experience around it: what Billie handles, how she interacts with clinic staff, how we reach patients proactively, and how we prove to our customers that it works. This is a hands-on product ownership role at a small, fast-moving product team. Some of the work is taking a product area from 1 to 10, where the problem is still being discovered with customers. Some of it is taking an area from 10 to 100, where something that works for one customer has to work for every customer without being rebuilt each time. You will work directly with founders, customers, engineering, data, and the implementation teams, and you will see what you decide in production within weeks. Key Responsibilities - Lead product discovery with customers — billing leaders, support managers, front-desk staff — and turn what you learn into a prioritized roadmap for patient experience. - Own the patient experience end to end: define the set of patient situations that decide whether the experience is good — the questions patients ask, the hand-offs to staff, the dead ends — and work with engineering to make the product handle each one well. - Design proactive patient outreach — who is contacted, on which channel, when, with what message — and measure the effect on patient satisfaction and on revenue collected. - Define and own the metrics for the patient-facing product — escalation rate, self-service rate, patient satisfaction, payment outcomes — and use them to decide what gets built next. - Analyze product performance directly: query the data warehouse, read real patient conversations, find where the agent falls short and why. - Prototype with AI tools before specifying: build the mock, the script, or the analysis that settles the question. - Partner with engineering on agent behavior, prompts, EHR and practice-management integrations, and where human-in-the-loop belongs. - Scale what works across the customer base: turn one-off configurations into features every practice gets, instead of rebuilding per customer. - Lead technical customer projects: launch new customers and new capabilities with implementation and customer success, and own the first weeks after go-live. - Keep the customer-facing material current for pre-service and patient support: case studies with real numbers, working demos, and sales playbooks. What Success Looks Like Within the first 6 months, you will: - Define a set of cases that determine a great patient experience and work with engineering teams to optimize the product to fit those cases - Design proactive patient outreach flows and evaluate how they impact patient satisfaction and patient revenue - Decide how to increase resolution rates for Collectly patient support and which products to build to resolve those requests - Update case studies, demos and sales playbooks for Collectly pre-service and patient support products Qualifications Required - Experience in US healthcare (must-have!): RCM, eligibility, claims, payments, payer-provider workflows - 3+ years of product management experience in technical B2B products, with full ownership of what gets built and why - A track record of quantified business outcomes: revenue, cost reduction, conversion, automation rate, or efficiency - Direct customer-facing experience with B2B customers; enterprise experience preferred - Experience launching new products, not only features within existing ones - Hands-on with AI tools: able to build prototypes and run analyses with Claude or similar - Strong analytical skills; comfortable writing code and SQL with AI while doing your own analysis - Ability to fly to San Francisco for an onsite interview with the team (at our costs) Core Competencies - Customer discovery - Product ownership and decision-making - Data-driven decision making - Analytical depth and curiosity - Leading technical customer projects - Hands-on mindset Preferred - A previous role in engineering, data science, or analytics - Startup or small-product-team background; founder or early-stage experience - Experience working on AI/ML products Why You’ll Love It Here Unlimited PTO: We believe in work-life balance and encourage you to recharge when you need it. Comprehensive Health Coverage: Fully paid medical, dental, and vision insurance for you and your dependents, because your well-being matters to us. Equity Opportunities: Share in our success with stock options - your hard work will drive our growth. Retirement Planning Made Easy: Enjoy a 401(k) with a generous company match to secure your future. Student Loan Support: We help lighten the load with contributions toward your student loans. Compensation Range: 160-210k/year Collectly is a tech-enabled patient billing platform that works as an add-on for your EHR/PM. Collectly accelerates and increases patient cash flow, streamlines post-service billing operations, and provides the best patient experience that works for all demographics. Please, see a short video about us

Location: London Workplace: hybrid We’re looking for a hands-on Engineering Lead to build and scale our Compliance & Risk Platform. This role is focused on backend engineering and technical leadership across compliance systems including KYC/KYB, transaction monitoring, sanctions screening, operational tooling, and internal risk infrastructure. You’ll work closely with Compliance, Product, Operations, and Engineering teams to build scalable systems that support global regulatory requirements while maintaining strong product and operational efficiency. What You’ll Be Doing Lead the design and development of backend systems powering compliance and risk products Build scalable services and APIs primarily using Go Own technical architecture for compliance-related systems including onboarding, monitoring, restrictions, and internal tooling Partner closely with Compliance, Risk, AML Ops, and Product teams to translate regulatory requirements into scalable technical solutions Design reliable, auditable, and secure systems with strong observability and operational workflows Improve automation and operational efficiency across compliance processes Mentor engineers and help establish strong engineering standards and backend best practices Participate in hiring and help scale the engineering team What You'll Bring 7+ years of software engineering experience Strong backend engineering expertise, particularly with Go Experience building production-grade APIs and distributed systems Strong understanding of system reliability, security, and auditability Comfortable working cross-functionally with compliance and operational stakeholders Startup mindset with strong ownership and execution ability Experience with cloud infrastructure and modern engineering workflows Nice to Have Experience working on compliance, fintech, payments, fraud, identity, or risk-related products Familiarity with systems such as KYC/KYB, AML, sanctions screening, transaction monitoring, or operational tooling Experience in crypto, stablecoins, or Web3 infrastructure Experience building internal tooling and workflow systems Exposure to multi-jurisdiction compliance environments Familiarity with event-driven architectures and high-scale backend systems Experience with AWS/GCP, Kubernetes, Terraform, PostgreSQL, or Redis

Location: London Workplace: hybrid The EMEA Legal Counsel will provide strategic legal guidance across KAST's UK, EU and Middle East operations. You will work closely with Product, Compliance and GTM / Business teams to ensure compliance with across UK, EU, and Middle Eastern regulatory frameworks and support KAST's engagement with regulators and industry groups. This role is ideal for a lawyer who thrives in fast-moving environments and is passionate about building the legal foundations for the future of money. Location: flexible across the UK/Europe. Responsibilities Advising the business on compliance and legal issues related to structuring new and existing stablecoin, payments, and card products and features Expanding KAST’s product offering in line with regulatory requirements Drafting and maintaining customer-facing legal documents including Terms of Service, user agreements, and product-specific disclosures Managing and advising UK, EU, Middle East, financial services, digital asset and privacy regulatory requirements Monitoring and advising on developments from the FCA, EBA, ESMA, ECB, CBUAE, VARA, DFSA, FSRA and relevant national competent authorities — and their impact on KAST's regional business Owning KAST’s global data privacy legal function Collaborating with Product and Commercial teams to design compliant product structures for retail and institutional clients, including card program agreements Draft, review, and negotiate commercial agreements with counterparties, including service providers, partners and institutional clients. Supporting card programme compliance under Visa/Mastercard network rules and relevant EEA/UK issuing frameworks Ensuring robust compliance with UK, EU, Middle East financial services regulation including AML/CTF, OFAC, sanctions and Travel Rule as applicable Managing and overseeing outside counsel relationships, including firm selection, matter scoping, and legal spend Engaging proactively with regions regulators and industry associations to advocate for clear, innovation-friendly frameworks Qualifications & Skills 5+ years of PQE - qualification in England & Wales or EU Member State; dual qualification (e.g. UK + EU jurisdiction) an advantage Experience advising on digital assets (and payments), including time at a top law firm or in-house Strong knowledge of the FCA regulatory framework and UK financial services law; working knowledge of EU financial services regulation (MiCA, PSD2, EMD2, MLD5/6) and at least one MENA regulatory framework Hands-on data privacy expertise — UK GDPR and/or EU GDPR advisory experience Familiarity with AML/CTF, sanctions compliance, and Travel Rule obligations in a EMEA context Excellent communicator and stakeholder manager, with the ability to take decisions where there is ambiguity and translate complex regulation into practical business guidance Comfortable working across multiple jurisdictions simultaneously in a fast-paced, high-growth environment

Location: Hong Kong Workplace: hybrid We’re looking for a hands-on Engineering Lead to build and scale our Compliance & Risk Platform. This role is focused on backend engineering and technical leadership across compliance systems including KYC/KYB, transaction monitoring, sanctions screening, operational tooling, and internal risk infrastructure. You’ll work closely with Compliance, Product, Operations, and Engineering teams to build scalable systems that support global regulatory requirements while maintaining strong product and operational efficiency. What You’ll Be Doing Lead the design and development of backend systems powering compliance and risk products Build scalable services and APIs primarily using Go Own technical architecture for compliance-related systems including onboarding, monitoring, restrictions, and internal tooling Partner closely with Compliance, Risk, AML Ops, and Product teams to translate regulatory requirements into scalable technical solutions Design reliable, auditable, and secure systems with strong observability and operational workflows Improve automation and operational efficiency across compliance processes Mentor engineers and help establish strong engineering standards and backend best practices Participate in hiring and help scale the engineering team What You'll Bring 7+ years of software engineering experience Strong backend engineering expertise, particularly with Go Experience building production-grade APIs and distributed systems Strong understanding of system reliability, security, and auditability Comfortable working cross-functionally with compliance and operational stakeholders Startup mindset with strong ownership and execution ability Experience with cloud infrastructure and modern engineering workflows Nice to Have Experience working on compliance, fintech, payments, fraud, identity, or risk-related products Familiarity with systems such as KYC/KYB, AML, sanctions screening, transaction monitoring, or operational tooling Experience in crypto, stablecoins, or Web3 infrastructure Experience building internal tooling and workflow systems Exposure to multi-jurisdiction compliance environments Familiarity with event-driven architectures and high-scale backend systems Experience with AWS/GCP, Kubernetes, Terraform, PostgreSQL, or Redis

Location: Spain; Bulgaria; Romania; Poland; Slovakia; Czechia Staff DevOps Engineer Who we are Action1 is a cloud-native autonomous endpoint management platform that helps organizations automate operating system and third-party patching, assess vulnerabilities, and secure endpoints at scale. Trusted by thousands of organizations managing millions of endpoints globally, we are building the infrastructure that supports our continued growth. The Role Working hours Working hours close to the CET time zone are preferred to support regular collaboration with your manager and coordination of the team’s workload. Flexibility to adjust working hours for team coordination, planned production changes, and critical incidents. This includes working US time-zone hours for a couple of days when needed to attend team meetings, participate in cross-training, or support handovers. Job Scope We are looking for a Senior / Staff DevOps Engineer to build and operate Action1’s AWS infrastructure, improve deployment automation, and strengthen production reliability and security. This is a hands-on individual contributor role. You will identify problems, make technical decisions, and carry improvements through implementation and validation, with support and input from your manager and peers. You will join a small, collaborative DevOps team where your ideas help shape how we work. There is room to try new approaches, learn from experienced colleagues, and see your work make a difference in production. You will work closely with R&D and QA on releases and production needs. What you’ll do Build and evolve our AWS infrastructure. Design and operate secure, resilient infrastructure across multiple accounts and regions. Evaluate architecture decisions against production requirements, operational complexity, performance, and cost. Build infrastructure as code. Develop reusable components, reduce configuration drift, and make environments reproducible. Maintain infrastructure and automation in Git with peer review, testing, documentation, and clear ownership. Improve deployment pipelines. Build and maintain CI/CD pipelines, automated checks, deployment controls, and rollback mechanisms to make releases safer and more predictable. Develop reliable automation. Use programming, scripting, and APIs to simplify operations, eliminate repetitive work, and build tooling the team can maintain and support. Apply AI in daily DevOps work. Use approved tools such as Codex or Claude for infrastructure code, scripting, testing, troubleshooting, operational analysis, and documentation. Build reusable workflows, independently review and test outputs, protect sensitive information, and follow established review and change controls. Strengthen observability. Improve metrics, logs, traces, dashboards, and actionable alerts. Investigate performance and capacity constraints, connect telemetry to application behavior, and reduce unnecessary alert noise. Own production reliability. Participate in the on-call rotation and lead incident response when needed. Coordinate recovery, communicate clearly, investigate underlying causes, and verify that corrective changes address the problem. Validate resilience and recovery. Develop and test backup, recovery, failover, and maintenance procedures. Use controlled failure exercises where appropriate to identify weaknesses before they affect customers. Continuously assess AWS platform security. Review access, network exposure, logging, vulnerabilities, and misconfigurations across accounts and environments. Investigate security findings and suspicious activity, prioritize work by risk, and drive remediation through implementation and verification, coordinating with Security and the owners of affected systems. Improve AWS security controls. Evaluate and introduce practical improvements to threat detection, automated security checks, and response workflows. Strengthen least-privilege access, network controls, secrets management, encryption, hardening, and auditability. Integrate technical controls into infrastructure and delivery pipelines to meet security and compliance requirements. Improve cloud efficiency. Understand cost drivers, identify waste, and evaluate capacity and architecture improvements using measured workload behavior. Verify savings alongside performance and reliability. Share operational knowledge. Review infrastructure designs and automation code, document decisions, and maintain useful runbooks and technical documentation. What we’re looking for Substantial hands-on experience in DevOps, SRE, or cloud infrastructure engineering for production SaaS environments. A record of independently identifying and solving problems, prioritizing work, and coordinating dependencies while keeping others informed. Deep AWS knowledge and experience designing, operating, and troubleshooting distributed systems across multiple environments. Strong AWS security operations experience, including assessments, incident investigations, and vulnerability and misconfiguration remediation. Hands-on observability experience using metrics, logs, and traces to investigate production issues and build actionable dashboards and alerts. Strong programming or scripting skills in Python, Node.js, or a comparable language for maintainable automation and API integrations. Strong hands-on experience with both Terraform and AWS CloudFormation, supported by Git, code review, testing, and CI/CD practices. Sound understanding of operating systems, networking, DNS, TLS, identity, storage, and database behavior, with the ability to troubleshoot across system boundaries. Experience with production incident response, root-cause analysis, and recovery planning. Practical experience using AI tools in DevOps, including examples of their benefits, limitations, and how you validated and corrected their output. Analytical thinking and sound judgment: test assumptions, distinguish symptoms from causes, weigh trade-offs, verify results, and recognize when broader review is needed. Flexibility to collaborate across time zones and adjust working hours for team coordination, planned production changes, and critical incidents. Nice to have Hands-on Datadog experience for production troubleshooting and reliability improvement. Experience with Terramate for managing Terraform infrastructure across environments. Experience building operational tools or self-service workflows for provisioning, deployments, and environment management. Practical SRE experience, including service-level objectives, capacity planning, and reliability reviews. Experience supporting SOC 2, ISO 27001, or comparable requirements through technical controls and operational evidence. Experience developing AI agents with appropriate access boundaries, evaluation, and human oversight. Experience mentoring DevOps engineers and leading infrastructure or operational improvements. What we offer Fully remote work, with flexibility around team collaboration and production responsibilities. Ownership of infrastructure supporting a growing global platform. Challenging DevOps work and opportunities to deepen your technical expertise. Direct collaboration with experienced, supportive peers.

Responsibilities: — Design, build and maintain modern, scalable web applications using JavaScript and React. — Implement microfrontend architectures with reusable components and state management. — Integrate frontend applications with backend services for enterprise clients. The position is remote but restricted to candidates located within Latin America; working from outside Latin America is not allowed.

Location: San Jose, California, United States 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. About the Opportunity We are looking for a seasoned engineer to build and improve the ML and data infrastructure behind our risk and fraud prevention systems. You will work hands-on to move models from experimentation into reliable production services, improve model execution performance, and develop data pipelines that support training, evaluation, and real-time decisions. You will take ownership of your work, identify improvements proactively, and deliver with limited guidance What You’ll Be Doing Improve model inference latency, throughput, resource utilization, and cost. Profile the prediction path—from feature retrieval and preprocessing to model execution—and implement measurable improvements while preserving model quality. Build and maintain infrastructure for model packaging, versioning, deployment, serving, monitoring, and rollback across cloud platforms and regions. Develop and optimize offline data pipelines using Databricks, Apache Spark , and warehouse or lakehouse technologies. Address data modeling, partitioning, joins, shuffles, skew, incremental processing, and cost. Work on offline and online feature pipelines, supporting point-in-time correctness, consistent feature definitions, freshness, lineage, and reproducible backfills. Build and maintain reliable feature services and data integrations for risk models and decision systems. Take ownership of projects and operational issues, communicate progress and tradeoffs, and collaborate with ML, data engineering, cloud infrastructure, security, and product teams. Contribute to technical discussions, share knowledge, and help teammates through code reviews and collaboration. What We Look For In You Experience building and operating distributed systems, ML infrastructure, or data platforms, with ownership of meaningful production components. Hands-on experience improving production model performance, such as latency, throughput, resource utilization, or cost. Strong experience with Databricks and Spark, or comparable offline data platforms, including execution plans, distributed query optimization, storage layouts, data correctness, and workload cost management. Experience with the model lifecycle, including training and serving integration, validation, deployment, observability, and rollback. Strong Python and SQL skills, plus proficiency in at least one backend or systems language such as Java, Scala, Go, or C++. Ability to work independently through loosely defined problems, make sound implementation decisions, and deliver maintainable systems with limited guidance. Nice to Haves SageMaker, Alibaba Cloud PAI/EAS, or comparable ML platforms. Inference optimization using tools such as ONNX Runtime, TensorRT, or Triton. Delta Lake, MLflow, feature stores, Kafka, Flink, and low-latency data stores. Fraud detection or financial risk systems. Fluency in Mandarin Perks & Benefits Competitive total compensation package L&D programs 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! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $178,888 to $268,333 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID 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: Sydney, Australia 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 seeking a Manager, Enterprise Sales for Industries to lead the growth of our industries businesses across Australia and New Zealand, bringing Claude to some of the region's most significant organisations. In this critical leadership position, you will build and lead a team of enterprise sales professionals, shape and execute our Industries go-to-market strategy, and be accountable for revenue across a portfolio of strategic accounts. You will work directly with C-level executives on their AI agendas, and bring together our Applied AI, Product, Marketing and Customer Success teams, along with our technology and cloud partners, to take customers from ambition to adoption at scale. You will also represent ANZ's priorities to local and global leadership, so that our approach reflects the regulatory, commercial and cultural landscape of both markets. This is an exceptional opportunity for a seasoned sales leader to shape the adoption of safe, frontier AI in one of the world's most sophisticated technology markets. Key responsibilities Shape and execute the Industries go-to-market strategy across Australia and New Zealand, setting priorities, account coverage and plans for a defined set of strategic target accounts Build, lead and develop a high-performing enterprise sales team, setting a high bar for hiring, coaching and performance Own team revenue performance, with rigorous pipeline management, forecasting and territory planning Lead your team through the most complex, multi-stakeholder sales processes, from first executive engagement to negotiation and close Build trusted relationships with C-level and senior executives, and act as an executive sponsor for key customers Develop strategic partnerships with major technology partners and cloud providers active in the ANZ market Collaborate with Applied AI, Product, Marketing and Customer Success teams to adapt Anthropic's offerings for the ANZ market and turn customer feedback into product direction Conduct market analysis to identify new opportunities and refine our regional approach across industries Craft and execute strategies to differentiate Anthropic and capture market share in a fast-moving, competitive market Build and refine the sales methodology, playbooks and operating rhythm that allow the team to scale Ensure alignment between regional operations and global strategy, representing ANZ's priorities to local and global leadership Represent Anthropic with key customers and at industry and partner events, communicating our trust and safety principles effectively Minimum qualifications 15+ years of sales experience, including 5+ years leading enterprise sales teams A proven track record of success selling technical API products, cloud services or SaaS solutions Demonstrated ability to build and scale enterprise sales teams in a high-growth environment Success selling into Australia's and New Zealand's leading enterprises, with a strong understanding of how they evaluate, buy and adopt new technology Experience leading large, complex sales cycles and building internal champions across business, technology, risk and procurement stakeholders Strong executive presence, with the ability to engage C-level leaders and explain technical concepts clearly to non-technical audiences Strong operational rigour in pipeline management, forecasting, and account and territory planning A history of creative problem-solving and persistence in competitive markets Preferred qualifications Experience leading enterprise sales teams across multiple industries in ANZ Experience selling through partner sales motions, ideally through cloud partners (AWS, Azure, Google Cloud) Deep knowledge of the enterprise technology industry, particularly in areas like cloud services, data management or AI Experience bringing new or emerging technology categories to market Familiarity with the Australian and New Zealand regulatory landscape, including privacy, data sovereignty and AI governance Experience representing a regional market within a global organisation and influencing senior leadership A passion for AI and a commitment to its safe and responsible development 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.