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Location: San Francisco, CA | 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 Anthropic is seeking a Program Manager to join our Accounting organization and help it run as one global team. Accounting is scaling at an unprecedented pace across multiple hubs, and the goals, rhythms, programs, and people that make up the team need to stay connected as we grow. In this role, you will own that connective tissue: the annual goal-setting cycle, the leadership team’s operating cadence, org-wide events and internal communications, and the programs that make a distributed team feel like one. You will partner with Accounting leadership, the People team, Finance Systems, and hub leads. This is a hands-on role with a lot of range: part chief of staff, part program manager, part culture builder. Responsibilities Goals and operating rhythm Run the annual goal setting process and the reporting that tracks progress against those goals. Look at how the org actually operates (meetings, handoffs, planning cycles, decision making) and fix what isn't working. Maintain one org-wide planning calendar that shows close, audit, and team milestones alongside company-wide and team events, so leaders can see the pressure points and plan around them. Build and maintain a simple set of org health metrics (attrition, engagement scores, hiring pipeline, training completion, survey trends) and report on them regularly. Leadership and org-wide events Run our extended leadership team (XLT) program, including agendas, meetings, follow-ups, and action items. Own planning and agenda for the annual offsite and run the quarterly team all-hands. Write the internal updates: a regular team newsletter, plus talking points when leadership needs to explain a change to the whole org. People and culture Coordinate projects across the org that support employee experience programs. Partner with the People team to roll out training and development programs for Accounting. Review team survey results, identify the themes, and build action plans to address the feedback. Follow through and report back to the team. Run hub programs, including visit and rotation programs, local hub events, and meeting norms that work across time zones, so we feel like one global team. Run recognition and team rituals: wins, milestones, anniversaries, and peer recognition, especially across hubs. Team operations Support contractor management, including onboarding, tracking, and coordination with the right partners. Keep the team's knowledge base current: wiki, org charts, role descriptions, and key process docs. Keep the team calendar accurate so everyone knows what's coming. Preferred qualifications 7+ years in program management, operations, chief of staff, or strategy roles. Experience inside a finance or accounting org is a plus, but not required. A track record of running recurring programs end to end and getting people to follow through without formal authority. Good judgment about what matters and what doesn't. You can handle a lot of moving pieces without dropping them. Clear, direct writing. You can brief a senior leader in a few sentences. Comfort with confidential information and sensitive people topics. Experience supporting distributed or global teams. You're organized, but you also know when a process is getting in the way and should be simplified. 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.

– Сбор, анализ и формализация требований заказчика, включая проведение интервью, изучение документации и нормативно-правовых актов; – Моделирование бизнес-процессов AS-IS/TO-BE;

Location: Remote This role may require in-person interview/s in Austin, Texas 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 looking for a product-minded Senior Software Engineer to own meaningful parts of the Osano platform end to end, from shaping a problem with Product to running the result in production. This role is for an engineer who treats AI tooling as a real force multiplier. You use coding agents and AI-assisted workflows to explore unfamiliar code faster, ship more and remove repetitive work. You also have the judgment to verify everything that goes out under your name. We want someone whose impact goes beyond what they write by hand, and who helps the engineers around them do the same. You'll work across our React front end, Node.js services, PostgreSQL data stores and AWS infrastructure. You'll partner closely with Product, Design, QA and Security. This is a remote role. You must be based in, and authorized to work in, the United States. What you'll do: Build and ship product, end to end Lead multi-sprint projects from design through rollout: turn a loosely defined problem into a plan, break it into work that you and others can action, and deliver close to estimate. Design systems that hold up, and write design docs and decision records that weigh the alternatives. Partner with Product on scope: propose MVP cuts, phasing and tradeoffs, and measure whether what we shipped actually helped customers. Engineer with AI to multiply your impact Use AI coding agents and assistants across the whole development lifecycle: exploring codebases, scaffolding, writing tests, debugging, refactoring, migrations and code review. Stay accountable for every line you ship. You understand and can explain AI-generated code, and you know where AI shouldn't be trusted. Turn repetitive engineering work into automation: scripts, agent workflows, and checks that save your team time every week. Share what works: help define how our teams use AI tools, and how we review and verify AI-assisted work. Use AI responsibly. Customer and personal data stays out of AI tools except through approved, privacy-safe paths. This is non-negotiable at a privacy company. Own what you ship in production Build observability, feature flags and rollback paths into your work from the start. Take turns on our triage and on-call rotation. Lead incident response for your team's systems, and see postmortem follow-ups through to completion. Identify tech debt, size it, and make the case to get it into the plan. Build with privacy and security by design Apply data minimization, residency, retention and access controls to the systems you design, especially those that handle customer and personal data. Write secure code and fix vulnerabilities in your area as part of normal work. Raise the bar and grow others Give code and design reviews that change outcomes, not just approvals. Mentor engineers earlier in their careers, and make your team better at testing, reviewing and operating software. Interview candidates and help us hire well. About you: Delightful Experience. You care about the customer problem, not just the ticket, and you push for what actually helps. Own Your Impact. You take full responsibility for outcomes, from the first design doc to how the feature behaves in production at 2 a.m. Stronger Together. You put team success ahead of individual wins, give direct and kind feedback, and treat documentation and async communication as first-class work. Growth Mindset. You're curious and keep learning, especially as AI changes how software gets built. You're excited about what it can do without overselling it or ignoring its limits. You're comfortable with ambiguity and create clarity for others through good design and clear writing. Must-haves: Typically 5+ years building and shipping production software. We care more about what you've owned than the number of years. A track record of leading multi-sprint projects from design to production in a team setting. Strong JavaScript/Node.js and React experience, and solid relational database skills (PostgreSQL preferred). Strong system design fundamentals: data modeling, API design, and naming the tradeoffs. Experience owning production systems : on-call, incident response, observability. Hands-on, day-to-day use of AI coding tools such as Claude Code, Cursor or Copilot, with concrete examples of how they made you or your team more effective, and how you verify their output. Experience mentoring other engineers. Strong written communication in a remote, async environment. Nice-to-haves: AWS experience (ECS/Fargate, Lambda, S3, RDS), especially multi-region or data-residency work. Privacy, security or compliance-sensitive B2B SaaS (GDPR, CCPA, SOC 2). Building AI-powered automations, agent workflows or LLM-based product features. Data and analytics tooling (Redshift, Athena) or event-driven architectures. CI/CD, preview/ephemeral environments, end-to-end testing (Cypress). How we work: Fully remote, with at least four hours of overlap each day with your team's core hours. Collaborative and video-on for meetings, and async-first for everything else. Bring people in when they are needed and share what you’re working on with the team. Regular 1:1 checkins with your manager, with a focus on growth conversations. 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. 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. 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.

Требования: — Опыт самостоятельного ведения задач от формирования бизнес-требований до релиза — Опыт управления командой аналитиков в роли лида анализа — Умение проводить ежедневные командные встречи и рабочие ритуалы — Навыки сбора требований с помощью интервью, исследования систем и анализа документации — Навык документирования требований в формате Use Case, User Story, технического задания — Умение моделировать UML: Activity, Use Case, Sequence — Навык моделирования бизнес-процессов в BPMN на аналитическом уровне — Навык проектирования интеграций REST API и Kafka — Опыт документирования API в спецификации OpenAPI — Знание инструментов тестирования Postman, Conductor или аналогов — Навык проектирования БД в PostgreSQL и Redis, описание моделей Entity-Relation — Навык написания SQL-скриптов — Опыт работы с микросервисной и монолитной архитектурой — Знание архитектурных паттернов API Gateway, BFF — Опыт подготовки и проведения презентаций продукта и статусов Обязанности: — Взаимодействие с пользователями, заказчиками и другими стейкхолдерами для выявления потребностей и сбора обратной связи — Сбор, анализ и валидация функциональных и нефункциональных требований — Проектирование решений для реализации требований — Декомпозиция и постановка задач команде разработки: backend, frontend, API, интеграции, БД — Взаимодействие со смежными командами при реализации кросс-командных проектов — Консультирование команды по возникающим вопросам на этапах разработки и тестирования — Участие в разборе инцидентов, выявление причин и подготовка предложений по их устранению — Управление командой аналитиков в роли лида анализа Условия: — Полный рабочий день — Удалённый формат работы — Оформление только как ИП — Сфера проекта: Ритейл

Location: Tokyo, Japan 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 Join Anthropic's Customer Success team as one of the founding members of our Japan Customer Success team as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across Japan, helping them harness the full potential of all our Claude capabilities: API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives. You'll work closely with them to provide best practices and guidance, and support them as their usage (consumption and seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies. That makes you a key voice in shaping how we build and deliver ongoing value as a business. As one of the founding members of our Customer Success team in Japan, you'll help shape how we build the function in-region. That includes establishing regional processes, developing new customer relationships, and representing Anthropic's brand in a high-growth market alongside a small, growing team. You'll operate with significant autonomy while maintaining strong alignment with global teams. This requires someone who thrives in ambiguous environments and can work effectively across time zones. Key responsibilities Build trusting, strategic relationships with key Japanese customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption and adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products to drive full value from contracted commitments Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness of new products, and engaging Product PMs as the voice of Japanese customers Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle: manage comprehensive account and success plans grounded in the customer's business objectives, conduct Quarterly Business Reviews, and serve as the primary conduit between the customer and Anthropic Build Anthropic's brand and customer relationships as part of our founding in-region CS team, developing Japan-specific processes, playbooks, and best practices where needed that account for regional business cultures Minimum qualifications Experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/Functional Consultant, Success Engineer or similar) Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns Experience explaining and demonstrating technical products to various audiences Strong project management skills and ability to manage multiple customer relationships Passion for AI and interest in responsible development of advanced systems Fluency in English and Japanese Preferred qualifications 6+ years of experience in relevant field Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Experience working in and building a growing region, while navigating across time zones with US-based headquarters A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player 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: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Role Description As a Real Estate Analyst at Checkout.com, you will provide dedicated administrative, data management, and operational support to the Head of Real Estate, focusing on mitigating risk and increasing efficiency across the global portfolio. This role is essential for managing high-risk operational tasks, such as lease event tracking, lease administration, budgeting and data reporting to ensure a structured approach and prevent critical errors. Key Responsibilities 1. Lease Administration & Governance - Proactively track, monitor, and manage critical dates for all lease events, including renewals and break clauses, acting as the primary conduit for populating and managing the tools that host our Real Estate data. - Support the execution of Real Estate contracts by coordinating with Brokers, Procurement, Legal etc. to finalise signing, updating project budgets, and archiving completed agreements. - Manage operational risk by ensuring all key details related to lease obligations are accurately recorded, tracked and action is taken. - For business case generation, gather comparable evidence, property valuations, and market data to drive strategic negotiations. - Liaise with regional, business and central teams to capture the justification and data necessary for business case approval. - Manage subleasing activities, including monitoring sub-tenant compliance, tracking sublease income and key milestones, and coordinating with legal and property management teams. 2. Financial and Procurement Reporting - Coordinate with Finance, Tax and Procurement teams for Real Estate budgets, including updating and managing the Real Estate OPEX and CAPEX budget tracking tools. - Act as the central point of contact for all property-related budget reporting, preparing quarterly reviews in a clear, digestible format that includes Real Estate and Workplace costs - giving an all inclusive cost per desk / square foot / head. - Assist in reporting refurbishment or new office delivery costs, against business as usual spend for operational office locations. - Support the coordination of financial and legal documentation required for transactions, such as preparing group structure charts and financials for external parties (e.g., landlords). 3. Corporate Social Responsibility (CSR) Data Collation - Lead the coordination and collection of energy, water, and utility consumption data across the global portfolio to support future CSR reporting requirements. - Manage the challenge of obtaining utility data in co-working and serviced spaces where direct meter readings are complex, including liaising with local teams, operators and landlords to gather the necessary information. - Act as the conduit between the CEO Office and ESG/CSR teams to ensure our portfolio meets the needs of Sustainability policies and or regulatory requirements. 4. Departmental Administrative Support - Assist in due diligence and preparation of business cases by researching and reporting on regional office statistics (e.g., desk counts, utilisation, attendance, capacity & commercials). - Act as a key liaison for business case presentation and refinement. - Maintain dynamic headcount forecasts to ensure space planning aligns with evolving business needs, particularly for high-growth regions. - Monitor and document team shift patterns to inform workspace strategy (e.g., HVAC service requirements, after-hours access, and desk rotation models). - Monitor and manage utilisation reports for Serviced Offices, along with onboard and offboard leaves to locations where we do not directly manage access control. - Maintain the central digital repository for all property documentation (leases, contracts, floor plans, and insurance certificates), ensuring strict naming conventions, accessibility, and version control are met to ensure 100% audit-readiness. - Schedule and prepare agendas, collate pre-read materials, and document meeting minutes for key real estate governance forums, proactively tracking action items to ensure timely closure by stakeholders. - Managing the administrative aspects of the "joiner/leaver" process for office access where no assigned Workplace / People person is assigned. - Act as the primary administrator for processing property-related invoices, performing the initial "first-pass" review to flag discrepancies against purchase orders (POs) and ensuring all costs are accurately coded before final submission to Finance. 5. Health, Safety & Physical Security Management - Coordinate the global H&S audit schedule in partnership with SMEs, managing the central audit database, evidence library, action log, and training records to track progress and compliance. - Support the weekly, monthly, quarterly, and annual reporting framework to surface risk trends and audit completion status, allocating audits to regional teams for execution. - Own the scheduling, chasing, and evidence trail for the audit lifecycle, acting as the primary administrative point of contact to ensure smooth execution. - Drive the audit lifecycle by ensuring all actions are identified, triaged, and managed to resolution, proactively identifying blockers and managing overdue items. - Ensure regional teams interpret and apply the central H&S framework in accordance with local laws while maintaining the global baseline standards. - Manage the integration of the H&S framework with wider Real Estate RACI to ensure clear accountability and prevent overlaps in responsibilities. - Implement and maintain physical security policies and standards across all global office locations. - Instruct periodic physical security risk assessments and audits to identify vulnerabilities and ensure compliance with security protocols. - Oversee visitor management processes and physical security measures to safeguard personnel and assets. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: London, England, United Kingdom; Dubai Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. Responsibilities AI strategy and delivery. Set the AI strategy for Operations and own its delivery end to end. Find where AI can remove manual work, build the business cases and lead implementation with functional, product and engineering owners. Set common evaluation standards, track benefits and make sure every solution runs with appropriate controls and human oversight. AI automation. Treat automation of operational processes as a core objective. Set targets for the share of work automated, prioritise the highest-value processes and measure the capacity released. Strategy and roadmap. Own and build the team that translates operational strategy into a prioritised improvement and AI roadmap. Define the problem each initiative addresses, the intended benefit, its dependencies and who is accountable for delivery, and lead delivery of key strategic projects. Capacity and workforce planning. Build a consistent approach to capacity and workforce planning. Develop demand forecasts and capacity models that help the business allocate resources. Process redesign. Lead cross-functional process redesign, focusing on how work moves between functions and where it can be automated. Work with the Head of Operations, who owns day-to-day process performance, and agree changes with process owners. Operational controls. Establish a practical framework for documenting operational controls and coordinating first-line testing. Help process owners identify gaps and track corrective actions, working with Risk and Compliance on the approach. Portfolio management. Manage the overall improvement portfolio, making dependencies and resource constraints visible. Bring clear recommendations to the COO and functional leaders when priorities compete or expected benefits no longer justify the work. Measuring benefits. Define how improvements will be measured, establish credible starting points and assess the effect of changes on service quality, control performance, capacity and cost. Requirements Significant experience in operational strategy, transformation or operational excellence in financial services, fintech, payments or another regulated, high-volume environment. A proven record of setting an AI or automation strategy and delivering it in an operational setting, from use cases and business cases through to deployment, adoption and measured results such as reduced manual effort or capacity released. Experience building and leading a team of operations managers, analysts, planners or improvement specialists. A track record of running an improvement portfolio: building business cases, prioritising competing initiatives, managing dependencies and stopping work that no longer pays off. Understanding of capacity and workforce planning, including demand forecasting and how to build capacity models that leaders use to make resourcing decisions. Process improvement expertise (for example Lean, Six Sigma or similar methods) applied across functions, with measured results. Working knowledge of first-line control frameworks, control documentation and testing, and experience working with Risk and Compliance. Strong analytical skills and the ability to set credible baselines, measure benefits and present clear recommendations to the COO and senior leaders. Nice to have Experience in online brokerage, trading platforms or digital banking. Experience with operations spread across several regulated entities or countries. Hands-on familiarity with LLM tools, workflow automation or RPA platforms. Familiarity with tools such as Tableau, Jira or workforce management and process mining platforms. Recognised portfolio, programme or project management qualification. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry. Applicable for Poland: Our company has an Internal Reporting Procedure. It is available from the Human Resources Department upon request hr@capital.com. You may report a violation referred to in the Procedure under the terms specified therein.

Location: Paris; Amsterdam; Munich; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As International Mobility Lead, you will own and develop our international mobility approach, supporting employees and the business on cross-border moves and assignments. You will act as the key point of contact for mobility topics, balancing employee experience, business needs and compliance requirements. WHAT YOU WILL DO - Lead and coordinate international transfers and mobility cases end-to-end. - Advise HR teams, managers and employees on mobility options and requirements. - Manage and continuously improve mobility policies and processes. - Coordinate immigration, tax, social security and payroll topics with internal teams and external providers. - Ensure a smooth and consistent employee experience throughout the mobility journey. - Manage mobility partners and vendors, ensuring quality and cost-effective delivery. - Monitor mobility activity and provide relevant reporting and insights. WHAT WE'RE LOOKING FOR - Strong experience in International / Global Mobility within an international HR environment. - Good knowledge of mobility topics, including immigration, tax, social security and cross-border employment, benefits. - Strong stakeholder management skills and the ability to partner effectively with HR teams, managers and employees. - A pragmatic and solution-oriented mindset, with the ability to navigate complex situations. - Strong organizational skills and the ability to manage multiple mobility cases and priorities. - A low-ego, team-first mindset WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

▫️Участие в планировании, проектировании и разработке продукта. ▫️Анализ бизнес-процессов и моделирование целевых процессов (TO BE).

Location: Seoul, South Korea Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma, our Solutions Consulting team bridges technical expertise with business context to help customers realize what's possible with our platform. As a Senior Solutions Consultant based in Seoul and supporting enterprise accounts in Korea, you'll partner with Sales to shape technical deal strategies and lead complex customer evaluations. You'll connect customer business goals with Figma's capabilities, align stakeholders across Product, Design, Engineering, IT, and Security, and guide customers toward secure adoption at scale. Beyond individual opportunities, you'll contribute reusable approaches and coach teammates to strengthen the team's effectiveness. What you’ll do at Figma: Lead discovery for complex enterprise opportunities, uncover business priorities and technical requirements, and deliver tailored demonstrations and solution recommendations that connect Figma's capabilities to measurable customer outcomes Partner with Sales to define technical deal strategies, map stakeholders and decision criteria, agree on evaluation success measures, and lead evaluations through to a clear customer decision Own the customer IT and Security relationship throughout the deal cycle, coordinate security questionnaires, RFIs, RFPs, identity and enterprise requirements, and engage specialists to resolve complex questions and adoption risks Synthesize customer feedback across Korean accounts, identify recurring workflow and security needs, and partner with internal teams to inform product improvements and communicate current capabilities and limitations accurately Prioritize technical sales efforts across multiple opportunities, anticipate blockers, align cross-functional stakeholders, and develop repeatable approaches that improve enterprise evaluations and adoption Build reusable demos, technical guidance, and evaluation frameworks, and coach teammates on discovery, solution positioning, and handling complex customer conversations Operate with autonomy in ambiguous customer situations, exercise sound judgment about trade-offs and escalation, and bring together Sales, Solutions Consulting, Product, and Support to move opportunities forward We'd love to hear from you if you have: 8+ years of professional experience, including 4+ years of sales engineering or solutions consulting experience in a SaaS organization A strong technical foundation, with practical experience in front-end development or the software development lifecycle and familiarity with enterprise SaaS environments, identity, security, and governance requirements Curiosity about emerging technologies, especially AI, and a habit of hands-on experimentation to assess capabilities and limitations, develop credible customer use cases, and share practical guidance with teammates Strong communication skills, with experience influencing technical and business decision-makers, including senior leaders, and tailoring discovery, presentations, and demonstrations to Product, Design, Engineering, IT, and Security audiences Fluency in English to collaborate with internal teams and the global Figma community While it’s not required, it’s an added plus if you also have: Proficiency in Figma or other UX/UI design tools Experience working in a high-growth or fast-changing SaaS environment At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Singapore Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role Owns Mistral’s strategic relationship with EY across APAC. Manages the EY relationship and joint go-to-market end to end, delivering revenue and industry impact. Orchestrates multi-country pursuits spanning ASEAN (Malaysia, Thailand, Vietnam, Indonesia and the Philippines), Australia, India, Japan and Korea, owning the seating model, deal economics and partner governance through MD sign-off. Owns partner-leadership access at the change-maker level: AI practice leads, industry MDs and CTOs at regional and global level, including EY Consulting leadership. Architects and operationalises the APAC GSI Partner Playbook: the frameworks, co-sell motions, solution accelerators and delivery-readiness programmes needed to scale frontier AI regionally, including the sovereign AI narrative that differentiates Mistral in regulated markets. Location: Based in Singapore, with travel to ASEAN and APAC countries. What success looks like First 12 months - Executive relationships built across EY Consulting at AI practice lead, industry MD and CTO level, including EY’s Singapore hub and its practices across ASEAN and APAC countries. - A joint EY–Mistral GTM plan live: shared ICPs, vertical use cases, field plays and demand generation, with named account coverage across ASEAN and APAC countries. - One to two named, in-flight APAC deals of flagship scope and complexity, converted from or created through global agreements. - Partner-led and partner-attached pipeline delivered against the team target across sovereign AI, AI Studio and enterprise deployments. - Two to three multi-year GTM agreements or MOUs signed, covering revenue targets, co-sell motions, enablement and commercial frameworks. Key outcomes - Partner-influenced revenue from EY contributes a fifth or more of APAC annual bookings. - Mistral embedded in partner platforms, marketplaces, sovereign-cloud offerings and regional AI Lab programmes. - Certified EY delivery pods operational, with a stable base of partners delivering repeatable demand. Key responsibilities - Own the EY relationship and joint GTM across APAC: executive sponsorship, joint account planning, pursuit support and governance. - Own APAC GSI partner strategy, with EY as the anchor integrator. - Drive EY engagement across ASEAN and APAC countries from Singapore. - Convert or create global agreements and MPAs into named APAC deals; orchestrate multi-country pursuits across ASEAN and APAC countries. - Architect joint GTM: messaging, ICP alignment, vertical use-case strategy, field plays and demand generation. - Guide EY in building profitable Mistral service lines and certified delivery pods. - Lead deal orchestration: partner qualification, commercial alignment, seating model, deal economics and delivery planning. - Own partner scorecards, QBRs, pipeline reviews and performance analytics; ensure MPA, reseller/OEM and AI Lab frameworks are fit for multi-country use. Must have - 8–12+ years driving partner-led revenue with GSIs, hyperscalers, telcos or OEMs across APAC. - Has worked at EY, or has directly managed the EY relationship (alliance, partnership or account leadership), with first-hand knowledge of how EY Consulting operates, including its service lines, practice and industry structure, alliance model, decision-making, and how deals are sold, staffed and governed. - Demonstrated ability to manage a strategic GSI relationship and its joint GTM, operating at AI practice lead, industry MD and CTO level and converting or creating global agreements into named APAC deals. - Track record engaging C-suite and securing multi-year commercial frameworks. - Experience structuring multi-country pursuits, seating models and partner governance requiring MD-level sign-off, including across ASEAN and APAC countries. - Commercial acumen in AI/cloud: able to translate AI Studio, sovereign AI and GPUaaS into clear revenue models. Nice to have - Familiarity with model deployment, GPU infrastructure or AI Lab concepts. - Existing relationships within EY AI/Cloud practices. - Prior use of hyperscaler funding (ECIF, MACC, OCP), MDF or co-sell pipelines. - Exposure to sovereign AI or public-sector transformation in regulated APAC markets, including ASEAN. Ideal backgrounds Current or former EY Consulting leaders (alliance directors, AI/data practice leads, industry or sector leads), and leaders who have directly managed the EY relationship from a vendor, hyperscaler or technology partner side (e.g. senior partner sales managers at AWS, Microsoft or Google Cloud; partner account managers at Nvidia, Dell or HPE); regional or global alliance directors at Deloitte; GTM and strategic partnership leads at fast-growing AI, data or infrastructure vendors. Languages: English required. Mandarin, Japanese or Korean a bonus for multi-country engagement. Bahasa (Indonesia/Malaysia), Thai, Vietnamese or Filipino a plus for ASEAN engagement. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

About Upstart: Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit through technology. The company operates digitally with flexibility for employees to work remotely or from offices in Columbus, Austin, the Bay Area, or New York City. The Team: The Bank Secrecy Act/Anti-Money Laundering (BSA/AML) Compliance team designs, implements, and oversees the enterprise BSA/AML Program, Customer Identification Program (CIP), Customer Due Diligence (CDD), sanctions, and suspicious activity compliance programs. The team collaborates with Product, Engineering, Operations, Legal, Fraud, and Enterprise Risk to ensure regulatory compliance and effective risk management. Role and Responsibilities: — Lead the design, execution, and continuous improvement of BSA/AML, CDD, Enhanced Due Diligence (EDD), transaction monitoring, and sanctions screening for secured lending, unsecured lending, and deposit account products. — Serve as a BSA/AML Compliance advisor for deposit product initiatives, collaborating with Product, Legal, Operations, Engineering, and Enterprise Risk. — Develop and manage BSA/AML compliance initiatives including new deposit product launches, regulatory enhancements, and control improvements. — Administer ongoing customer due diligence and enhanced due diligence programs aligned with Upstart's CIP, Red Flags Program, and BSA/AML procedures. — Evaluate risks and typologies to develop transaction monitoring rules and investigation processes. — Monitor regulatory requirements such as FinCEN guidance, OFAC sanctions, and FFIEC examination expectations, translating changes into business processes and controls. — Develop key risk indicators (KRIs), key performance indicators (KPIs), and management reporting to assess program effectiveness. — Provide clear recommendations on regulatory requirements and risk trends to business stakeholders and senior leadership. — Drive remediation efforts for examination, audit, monitoring, and testing findings to strengthen compliance controls. Minimum Qualifications: — Bachelor's degree or equivalent practical experience. — 7+ years in BSA/AML compliance, financial crimes compliance, or related Risk/Compliance roles within regulated financial institutions. — Experience with customer onboarding processes including identity verification, CDD, EDD, sanctions screening, and ongoing monitoring. — Knowledge of regulatory requirements including BSA, USA PATRIOT Act, Customer Due Diligence Rule, and BSA/AML risks related to deposit products. — Experience developing AML risk assessments, KRIs/KPIs, management reporting, and leading cross-functional compliance initiatives. — Strong organizational, analytical, and communication skills. — Ability to identify policy gaps and drive resolution. — Experience in audit and exam readiness including evidence gathering, testing, monitoring, addressing findings, and responding to requests. Preferred Qualifications: — Certified Anti-Money Laundering Specialist (CAMS), Certified AML and Fraud Professional (CAFP), or equivalent. — Experience implementing and optimizing AML systems including data integration, rules configuration, testing, and validation. — Experience supporting deposit products such as high-yield savings accounts, certificates of deposit, brokered deposits. — Familiarity with BSA/AML tools for transaction monitoring, case management, and customer screening. — Experience working with examiners, auditors, and third parties. — Knowledge of regulatory change management and implementing new BSA/AML requirements. — Ability to investigate complex compliance issues, perform root cause analysis, and provide guidance for resolution. Position Location: Remote within the United States, with team operating on East/West coast time zones. Employees are encouraged to collaborate in-person during regular onsite sessions occurring once or twice per quarter. Compensation and Benefits: — Anticipated base salary range: $115,800 to $160,100 USD per year, dependent on geographic location, skills, experience, and education. — Additional compensation includes target bonuses, equity compensation, and comprehensive benefits such as medical, dental, vision, 401(k) with company match, employee stock purchase plan, paid time off, family leave, wellness allowances, and more. Equal Opportunity: Upstart is committed to inclusive and fair hiring practices and provides reasonable accommodations during the hiring process upon request.

Location: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; 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 Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it. Key responsibilities Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability Share the on-call for the systems you own Minimum qualifications Experience building and operating user-facing products used by a large number of people, including the backend services behind them Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design Strong programming skills in Python and TypeScript, with experience across backend services and web front ends A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback Experience defining product metrics and running experiments to make decisions Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners Interest in AI safety and Anthropic's mission Preferred qualifications Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking Experience on consumer products with strong retention, or on personalization systems Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA Experience with latency-sensitive, performance-critical product work Experience mentoring engineers or setting technical direction for a team 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: $405,000 — $485,000 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: Tokyo, Japan Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: In this position, you'll play a crucial role in shaping our go-to-market strategy and driving data-informed decision-making within the Japan/APAC region. This position sits at the intersection of sales, strategy, and operations, offering the opportunity to significantly impact Notion's growth trajectory. You'll work closely with sales leadership and cross-functional teams to optimize processes, deliver actionable insights, and support key strategic initiatives. You will report directly to the Head of Field Strategy & Operations. WHAT YOU'LL ACHIEVE: - Partner with Japan leadership team to define and drive strategy (e.g. territory mapping, long-term account planning, geographic expansion) and results for the region by conducting insightful analysis on local Japan markets and customers while providing support for other APAC priorities as needed. - Support regional sales leaders and sales teams in achieving their goals by providing actionable insights and visibility to sales performance metrics - Build reporting and presentations for Japan/APAC sales leadership to update on the state of the business, both up and across the organization - Act as a partner to the Japan/APAC sales team, providing hands-on operational support to drive deals forward and advising with decision-making - Enable smooth, efficient deal execution by supporting day-to-day deal operations, including opportunity hygiene, quote preparation, and coordination of approvals and internal handoffs, helping sellers navigate processes and remove friction throughout the deal lifecycle - Partner with the GTM Systems team to continuously enhance our sales technology stack to provide both a best-in-class experience for our sellers and a robust sales data environment - Work with cross-functional teams including Legal, Finance, Product, Marketing, etc. as the primary operational counterpart on behalf of the Japan/APAC sales org - Maintain and embed global sales policies, processes, and procedures, driving discipline with regards to strategy execution - Support global planning process locally, including target setting, capacity modeling, territory carving, etc. - Surface on-the-ground observations and insights to global sales and RevOps leadership SKILLS YOU'LL NEED TO BRING: - 5+ years of strategy, operations, and analytics experience with a track record of driving growth - working in sales operations, preferably in a high-growth SaaS environment - Expertise to quickly drill down into the business funnel for outbound and inbound sales motions, and how that connects to revenue - Excellent analytical and quantitative modeling skills; ability to analyze and interpret data, provide actionable insights, and deliver measurable results - Expert proficiency with core sales tools (e.g. Salesforce, Gong, Outreach, etc.) and best practices for sales data management - Ability to apply AI-powered tools to accelerate analysis, uncover trends, and translate complex sales data into actionable business insights. Comfortable framing analytical questions, iterating on prompts, and validating AI-generated outputs with sound business judgment and rigorous data checks, while handling sensitive information responsibly - Strong collaborator, works well with stakeholders, gains trust, enjoys working with people - Demonstrates a senior presence and can convey complex information to executives clearly and concisely; can resolve tradeoffs. Effective communicator across levels and audiences - Hands on and proactive, with a builders mentality. - Maintaining high ownership mentality, demonstrated by developing projects of >6-12 months length - Notion power user or desire to learn -- prior Notion experience is not required, but you have the ability and desire to become a pro #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: 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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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: $320,000 — $485,000 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: New York City, NY 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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. 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: $320,000 — $485,000 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.

Welcome to Torrero - all-in-one source for cutting-edge white label casino, sportsbook solutions and B2B aggregation. Built on a foundation of trust and compliance, we proudly offer an extensive library of 30,000+ games sourced from diverse providers, positioning Torrero as the preferred partner for transforming the iGaming enterprise. With huge number of sports events and easy payment options, we cater to diverse interests. Available in 35+ languages, we make gaming accessible worldwide. If you like a fast paced, dynamic and start-up work culture with full of passionate and enthusiastic mindsets, you’re most welcome to explore the opportunity. This is a chance to take part in an exciting journey as the company grows and expands its business at a rapid pace. You will be doing: Perform functional and non-functional (web and mobile), integration, regression and usability testing Identify, record and report bugs to the development team Verification of bug fixes Create comprehensive test cases Initiate and execute tests with high/low level detailed test cases Create and maintain testing documentation (test suites, test cases, checklists, instructions for testing, etc.) Track quality assurance metrics Analyze and execute the test cases Analyze and document features of the product and business requirements Refine testing process Cooperate closely with Dev, QA and Team Manager to identify system requirements Work with cross-functional teams to ensure quality throughout the software development lifecycle Your expertise to meet the requirement: Should have 3+ years of working experience in manual testing for both mobile and web applications Should have experience in creating and maintaining of testing documentation Should have experience working with Git Should have profound knowledge and understanding of SDLC Should have strong knowledge of software QA methodologies and processes Should be proficient in Russian language and intermediate in English language We offer: Fully remote job - work from anywhere you want Flexible working hours Competitive compensation 28 paid days off per year 3 paid sick days a year without medical certificate Seniority leave Birthday Day off Real career opportunities and professional growth The great team across the world The stages of the hiring process: Introductory call Discussion with Hiring Managers Assignment (optional) Reference check Offer letter

Location: Limassol, Cyprus Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Junior Compliance & AML Officer to join our team to monitor and ensure compliance with all applicable laws, regulations, and standards. Join a high-caliber team and contribute to its success with your passion, hard work and positive attitude. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives such as Futures & Options. Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles, and several other locations worldwide. Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who thrive in an environment that supports growth, innovation, and excellence. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional development. Join the Tigers! What does the job look like? The Junior Compliance & AML Officer will have the opportunity to: Monitor the activities of the Company's, including websites, customer communications, live chats, marketing materials, and operational processes, to identify and address potential compliance issues. Maintain up-to-date knowledge of relevant regulatory requirements and provide practical compliance advice and guidance to internal departments. Support client onboarding by conducting Know Your Customer (KYC) checks, Anti-Money Laundering (AML) screening, due diligence, and risk assessments. Review and investigate alerts relating to potentially suspicious activity and escalate cases to the Anti-Money Laundering Compliance Officer (AMLCO), where appropriate. Assist in developing, reviewing, and maintaining internal compliance policies and procedures, including the Anti-Money Laundering (AML) Manual. Assist with regulatory enquiries and requests, internal audits, and ad hoc compliance reviews across the Group. Support the delivery of staff training and provide guidance on AML/CFT risks, obligations, and awareness. Provide ongoing day-to-day compliance support to internal stakeholders, ensuring a sound understanding of applicable regulatory obligations and best practices. Perform any other ad hoc compliance and AML-related duties as assigned by the Head of Compliance or Senior Management. What will you need to be able to do the job? Academic background in Law, Business, Finance, Economics, or a related field. At least one year of relevant professional experience is required. CySEC certification will be considered an advantage. Candidates who do not currently hold the relevant certification but demonstrate a strong willingness to learn and develop will be supported by the Company in obtaining the AML and/or Advanced CySEC certification. Strong work ethic, with the ability to take initiative, work proactively, and demonstrate a high level of responsibility. Fluency in both Greek and English, with excellent verbal and written communication skills. Excellent presentation skills and the ability to communicate information clearly and effectively. Ability to work independently while also contributing effectively as part of a team. By joining us, you can expect: Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). Opportunities to learn and grow through our “Employee Training & Development program”. Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Participation in our welfare investment and savings plan through our Provident Fund Scheme. Birthday and Loyalty benefits. Collaboration with SportBenefit. What to expect from our recruitment process: First interview with TA and Head of the Department Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis