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Location: India; United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Role Overview The EME Tax Specialist owns operational and advisory work across employment tax, global mobility and employee equity. The role applies compliant payroll and off-payroll tax treatment as employees move across borders, participate in equity programs and support new-country launches. Key Responsibilities Advise on employment tax , manage payroll tax implications of mobility , benefits and equity events . C oordinate shadow-payroll inputs, calculations, reconciliations and reporting with payroll teams and external providers. Support tax and payroll workstreams for new-country launches, including registrations, local requirements, controls and operational implementation . Maintain compliant tax treatment and payroll reporting for employee equity events and support transition/transformation projects . Track filing obligations, deadlines and risk items across relevant jurisdictions, resolving issues or escalating them with clear recommendations. Partner with Payroll, People, Legal, Finance and external advisers to interpret requirements and implement practical processes. Create and maintain policies, process documentation, employee guidance and audit evidence. Review data and controls for accuracy, confidentiality and consistency, and identify opportunities for automation. Key Qualifications & Experience Must-have requirements: 5 or more years of relevant experience in employment tax, global mobility tax, equity compensation tax or payroll tax. Working knowledge of multi-country payroll and shadow-payroll processes. Experience applying tax requirements to employee equity and cross-border employee cases. Ability to manage external advisers and explain complex tax matters to non-specialists. Strong spreadsheet and data-analysis skills, including reconciliations and issue investigation. Organi s ed delivery, careful documentation and sound judgment under deadlines. Experience supporting new-country or legal-entity launches. Preferred experiences: Experience with an equity administration platform s . Global Mobility experience. A relevant tax, accounting or payroll qualification. Experience in a fast-growing international technology company. Competencies & Behavioral Traits Clear judgment when requirements are incomplete or differ across jurisdictions. Careful handling of confidential employee and tax information. Practical problem solving and early escalation of material risks. Clear communication with employees, internal partners and external advisers. Ownership of controlled, audit-ready processes. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: India Job Overview Uvation is seeking a strategic and hands-on Head of Finance to lead financial operations, governance, treasury, compliance, and business planning across a growing global organization. This role will serve as a key advisor to leadership, ensuring financial discipline, operational efficiency, risk management, and scalable growth. The ideal candidate combines strong controllership, commercial finance, treasury, and strategic planning experience with the ability to support executive decision-making through financial insights, analytics, and governance. Key Responsibilities Financial Leadership Lead accounting, financial reporting, budgeting, forecasting, cash flow management, and treasury operations. Deliver accurate MIS, executive dashboards, and financial analysis to support business decisions. Drive profitability, cost optimization, working capital management, and financial planning initiatives. Commercial & Strategic Finance Evaluate client contracts, SOWs, MSAs, partnerships, and new business initiatives for financial viability, profitability, risk, and ROI. Support pricing strategies, investment decisions, business expansion, and growth initiatives. Develop financial models, forecasts, business cases, and scenario analyses for leadership review. Governance, Compliance & Risk Establish strong internal controls, audit processes, and compliance frameworks. Manage statutory audits, tax compliance, regulatory reporting, and corporate governance activities. Identify financial and operational risks and implement mitigation strategies. Treasury, Banking & International Finance Manage banking relationships, treasury operations, liquidity planning, and foreign exchange exposure. Support multi-entity and international finance operations, including intercompany transactions and global compliance requirements. Partner with financial institutions, lenders, and advisors on funding, banking, and capital management activities. Corporate Finance & Business Transformation Support fundraising, lender discussions, due diligence, mergers, acquisitions, restructurings, and corporate expansion initiatives. Prepare board reports, investor presentations, and executive-level financial reviews. Lead ERP, automation, reporting, and finance transformation initiatives to improve scalability and efficiency. Leadership & Business Partnership Act as a trusted financial advisor to the CEO and leadership team. Partner with Sales, Operations, Delivery, HR, and Legal teams to improve financial performance and accountability. Build and mentor a high-performing finance function. Qualifications CA, CPA, CMA/ICWA, MBA Finance, or equivalent. 10+ years of progressive finance leadership experience. Experience in MSP, SaaS, IT Services, Technology, Telecom, or high-growth organizations preferred. Strong expertise in FP&A, financial reporting, treasury, internal controls, audits, and strategic finance. Experience with multi-entity operations, banking relationships, fundraising, board reporting, and business transformation initiatives is highly desirable. Technical Skills Strong understanding of IFRS, US GAAP, accounting standards, compliance, and corporate governance. Advanced financial modelling, forecasting, valuation, and analytical capabilities. Experience with ERP platforms such as NetSuite, Microsoft Dynamics, SAP, Oracle, or equivalent. Proficiency in Excel, Power BI, Tableau, and modern financial reporting and analytics tools.

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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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

Location: Prague, Czechia Are you a student eager to gain real-world experience and kick-start your career in a global business environment? Join our Internship Program and work on meaningful projects in the areas of Procurement, Sourcing, Finance, Data, Digital, and Artificial Intelligence. This is a unique opportunity to apply your academic knowledge in practice, collaborate with experienced professionals, and gain valuable insights into how an international organization operates. You will have the chance to contribute to real business initiatives, develop new skills, build your professional network, and work in a dynamic, collaborative, and innovative environment. Whether your passion lies in analytics, technology, finance, or digital transformation, this internship will provide hands-on experience that helps prepare you for your future career. D-ploy is an IT and Engineering Solutions company operating across EMEA and the USA, supporting industry-leading clients through innovative services and solutions. As an intern, you will be part of an international team where learning, growth, and fresh ideas are valued and encouraged. What You Will Do • Support strategic sourcing projects through market analysis, supplier research, and bid evaluation. • Prepare analytical materials and fact-based insights to support supplier negotiations and commercial discussions. • Utilize AI and Generative AI tools to analyze supplier proposals, compare commercial offers, and identify optimization opportunities. • Assist in building spend analytics dashboards, category insights, and procurement performance reporting. • Support the development and testing of AI-powered procurement use cases, prompts, agents, and automation solutions. • Collect, structure, and analyze procurement and supplier data to identify trends, risks, and opportunities. • Prepare executive summaries, sourcing recommendations, and presentation materials for procurement leadership. • Support contract reviews, supplier assessments, and sourcing documentation activities. • Collaborate with procurement professionals, business stakeholders, and digital teams on innovation initiatives. Requirements • Current student or recent graduate in Data Science, Artificial Intelligence, Analytics, Business, Economics, Supply Chain, Procurement, Engineering, or a related field. • Strong interest in combining AI, technology, and business problem-solving. • Analytical mindset with the ability to work with large datasets and derive actionable insights. • Excellent communication and presentation skills. • Curious, proactive, and willing to learn in a fast-paced global environment. • Ability to work independently while collaborating effectively within international teams. SPECIFIC SKILLS Preferred experience or interest in: • Artificial Intelligence and Generative AI (Copilot, ChatGPT, AI Agents, Prompt Engineering) • Data Analytics and Visualization • Financial and Commercial Analysis • Presentation skills and Storytelling Skills PREFERRED QUALIFICATIONS • Academic projects or previous experience involving AI, machine learning, analytics, automation, procurement, sourcing, or business intelligence. • Experience working with structured and unstructured data. Benefits Broad range of activities, tasks, and projects Flexible working conditions Minimum 5 weeks of vacation Paid sick days Meal vouchers Vouchers (B-day voucher, wedding, and new born surprise) Contributions to wellness programs (multisport card) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Competitive salary and various benefits Is IT in your DNA?

Location: Schaffhausen, Switzerland D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Tasks and Responsibilities Monitor the performance of the company's desktop infrastructure and make suggestions for improving efficiency Act as the main point of contact for employees who are experiencing computer issues Ongoing maintenance and future planning needs of the company's desktop infrastructure Complex IT support tasks for our customer both onsite and remote maintenance (PC, laptop and peripherals) Regular front desk assignments for direct support in case of inquiries and problems of our customer Managing the inventory system (purchasing, goods receipt, maintenance and proper disposal) Carrying out simple installations in the infrastructure area (in particular network cabling) Setting up and providing the IT infrastructure for new employees Coordinate and plan PC installations, e.g. for workstation relocations, in cooperation with the existing team Processing of tickets in the ticket system and their documentation Evaluate applications and software patches for desktop applications to see if they will solve desktop issues Resolve software, hardware and device issues reported by the end users Installation, configuration and ongoing usability of desktop hardware and software IT support relating to technical issues involving Connect client Support services for Client standard technologies including basic troubleshooting of Exchange and adds/moves/changes for AD accounts Troubleshoot PC connectivity issues and network elements including ISP circuits, firewalls, network switches, wireless equipment and telephone system Remote access solution (VPN) implementation and support Document and update the local client environment Escalate service issues when required Communication with customers/end users as required, keeping them informed of incident progress, notifying them of impending changes or agreed outages Advise and train staff on computer operations and software applications Requirements Good understanding of Information Technology; trends, products and solutions 1+ years’ experience in a similar position supporting a variety of technologies and services In depth knowledge of: Windows OS (Windows 7 & 10) Microsoft Office & Office 365 applications PC\Laptop hardware PC\Laptop peripherals, including printers Mobile devices Basic knowledge of Active Directory Exchange ITIL certification and familiarity with the Service Now ticketing system is an advantage GxP knowledge is desired Highly self-motivated and directed with a keen attention to detail Customer focused with a passion and drive for customer satisfaction and delivering business values Solid problem solving and analytical skills Ability to work independently as well as willing to follow directions and best practices Great communication and interpersonal skills Friendly, supportive and flexible personality with quick learning ability Good team player with planning and organizing skills & multi-task Fluent (at least B2) written and oral English and German language, French language is a plus Willing to travel within Schaffhausen area Drivers license and a private car Candidates have to declare Criminal record extract not older than 3 months Benefits Broad range of activities, tasks, and projects Lunch Checks or Reka Money (Lunch Checks can be used in 7000+ restaurants, Reka Money can be used for Transport & Accommodation,Sport & Wellbeing, Leisure &Culture, Holidays & Travel) Enjoy free refreshments in our D-ploy offices Insurance Benefits Gym Benefits Fishing for Friends program – our referral program Further development and professional advancement Friendly and international working environment Competitive salary and various benefits Is IT in your DNA? If you believe you are a good match for this role, or any other opportunities for which D-ploy is currently staffing, then we are very keen to speak with you. You can apply though a variety of channels, including our website www.d-ploy.ch or by reaching out directly to our recruitment team recruiting@d-ploy.ch .

Location: Germany Job Description: Our Client, a Data & AI strategy and implementation firm is looking for a Senior/Principal Consultant to join their team. This role is key in the technical delivery of high-quality data management solutions for our customers. The Senior Consultant will work directly with clients, leading them through discovery, supporting design and implementation of scalable solutions. This position represents a combination of technical expertise, and ability to interact with customers, ensuring that solutions meet business requirements and deliver strategic value. Expertise in Master Data Management, Data Quality and Data Governance best practices from architectural and functional perspective is of key importance for this role, as well as hands-on experience in configuration of data management products, educating and providing guidance to clients. What You Will Do: Advisory Communicate with business and technical stakeholders to gather requirements, business needs, and strategic objectives Educate stakeholders on technical and functional capabilities of the implemented software platforms, share best practices and drive decision making process Prepare and conduct discovery workshops on specific topics to business and technical stakeholders Map business requirements to technical capabilities, help to adjust customer expectations and support them with recommendations Translate technical information appropriately to different levels of the client organization. Solution Design and Documentation Document requirements, user stories and test plans Develop and document design for solution features including data models, quality, data access rules, workflows and user interfaces and data integration mappings Development and configuration leadership Configure the most critical components of the solution Validate development done by other team members, develop testing and deployment plans Provide oversight during development/configuration activities, testing and production deployment to the rest of the project team, developers and consultants. Pre-Sales Support Prepare customer presentations, proofs of concept, visual materials, and other tools for client presentations for business development purposes Contribute to proposal and statement of work documentation by defining and defending needed scope of work, project approach and effort. Who You Are: Advanced German and English speaker Highly focused on detail and results, with the ability to work with minimal supervision. Demonstrated ability to build relationships with multinational technical team members Advice and guide customer, demonstrate technical expertise and functional knowledge Proactive identifier and communicator of technical risks Demonstrated interest and ability to identify and assist in the sale of new project opportunities Confident to tackle new business or technical challenges. Disciplined curiosity: interest in asking "why" and synthesizing important findings into alternatives and recommendations Excellent oral and written communicator Able to travel to customer locations as needed What You Bring: More than 4 years of experience in the implementation of data management solutions or data management modules of enterprise grade ERP/CRM systems. Preferably - Master Data Management solution implementation using one of the following technologies: Informatica MDM, Stibo Step, Reltio, SAP MDG, TIBCO / Orchestra Experience as a Configuration Specialist and Functonal Consultant Experience driving discovery and design workshop, advisory meetings Experience in SQL development, Java Script and REST API development Experience in data modeling in both customer and product/material data domains Experience in data platforms and analytics (Databricks, Snowflake, etc.) Knowledge of data governance principles and frameworks Experience in integration/migration SAP ERP (ECC and S/4 Hana) Deep understanding of use cases for one or many industries What We Offer: Fast Track to Solution Architect / Managing consultant in growing regional organization Customers are Fortune 500 corporate environments, and project work can occur in groups at customer sites or remotely in small teams.

Location: Bulgaria; Montenegro; Kosovo; Bosnia and Herzegovina; North Macedonia; Slovenia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a Senior Meta Ads Specialist with 4–5+ years of hands-on experience managing, optimizing, and scaling high-performing Facebook and Instagram advertising campaigns. The ideal candidate is a data-driven performance marketer with a proven track record of managing substantial advertising budgets, generating measurable ROI, and developing paid social strategies that drive customer acquisition and revenue growth. You should be confident taking full ownership of Meta advertising accounts, analyzing campaign performance, testing creative strategies, and scaling successful campaigns while maintaining profitability. Key Responsibilities C ampaign Strategy & Execution: Plan, launch, manage, and optimize Meta Ads campaigns across Facebook and Instagram. Budget Management: Manage and strategically allocate advertising budgets to maximize ROAS and minimize customer acquisition costs. Campaign Optimization: Continuously optimize campaigns based on CPA, CPL, CTR, CPC, conversion rates, and ROAS. Audience Targeting: Develop and test prospecting, retargeting, lookalike audience, and broad targeting strategies. Creative Testing: Collaborate with creative teams to develop, test, and refine high-converting ad creatives, copy, and messaging. Tracking & Attribution: Implement and troubleshoot Meta Pixel, Conversions API (CAPI), and conversion tracking. Performance Reporting: Build and present detailed performance reports with actionable insights and recommendations. Scaling Campaigns: Identify winning campaigns and scale advertising spend efficiently without compromising profitability. Funnel Optimization: Analyze landing pages, conversion funnels, and customer journeys to improve overall campaign performance. Platform Expertise: Stay updated on Meta advertising algorithm changes, platform updates, and paid social best practices. Requirements 4–5+ years of proven experience managing Meta Ads (Facebook and Instagram) campaigns. Demonstrated success in scaling paid social campaigns and delivering strong ROI/ROAS. Advanced proficiency with Meta Ads Manager, Meta Business Suite, and Events Manager. Strong understanding of campaign structures, audience segmentation, bidding strategies, and budget optimization. Hands-on experience managing significant monthly advertising budgets. Expertise in Meta Pixel, Conversions API, conversion tracking, and attribution. Proven ability to develop and execute structured A/B testing strategies. Strong analytical skills and experience using GA4, Looker Studio, or similar reporting tools. Experience working with e-commerce brands, lead generation businesses, or digital marketing agencies. Excellent written and verbal English communication skills. Ability to work independently, manage multiple campaigns, and deliver results in a fast-paced remote environment. A strong portfolio or case studies demonstrating measurable campaign performance and successful scaling. Nice to Have Experience with Shopify, WooCommerce, or other e-commerce platforms. Familiarity with Google Ads, TikTok Ads, or other paid acquisition channels. Experience managing multiple client advertising accounts simultaneously. Knowledge of landing page optimization, CRO, and marketing automation. Previous experience working with UK, US, or international clients. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Kazakhstan; Armenia; Uzbekistan; Serbia ETG Marketing Hub serves as the central gateway for all marketing activities across ETG’s brands and external channels. We are now launching a new business line — the ETG Marketing Network — enabling advertising placements with leading travel and adtech partners (including display, CTV, mobile, metasearch, social, influencer marketing, and more). Powered by ETG’s rich travel data and booking-level measurement, this network delivers high-impact marketing opportunities. In this role, you will take the network from strategy and pilot projects through to recurring sales and scalable growth. Responsibilities: Strategy and roadmap. Define positioning, priority markets, channels and partners, and set out the stages: pilot, recurring sales, scaling, automation. Partner network. Source, evaluate and onboard adtech/DSP, metasearch, CTV/mobile/social and influencer platforms, including niche and closed inventory. Lead negotiations and manage partner relationships and quality. Monetization model. Structure terms with partners (revenue share, commission, additional margin), model unit economics and own the P&L of the business line. Offers and packages. Package external channels into clear products, including bundles with ETG inventory, and define pricing. Data and measurement. Together with the data, legal and product teams, define how ETG data and audiences are used in external channels, and set up measurement down to bookings. Ensure compliance with data regulations (GDPR and regional rules). Sales together with the Marketing Hub team. Support the sales team: prepare case studies, materials and pitches, and join key deals with hotels, DMOs, airlines and rail operators. Campaign launch and management. Build the process from brief to reporting (media planning, launch, optimization, reporting) and decide what we do ourselves and what we delegate to partners. Internal partners. Work closely with ETG’s marketing and direct supply teams (who interface with hoteliers and hospitality partners), leveraging their expertise and relationships both as routes to new clients and as sources of valuable market insights. Team Development: Begin as a hands-on contributor driving pilot projects and early-stage partnerships. As the business line develops, take the lead in building out a specialist team (including campaign/account managers, analysts, and partnership managers) to support further growth and scale. Requirements 3+ years in adtech/Business Development/partnerships on the side of platform, network, DSP, or agency, with proven deals and negotiations Solid grasp of programmatic and performance metrics (CPA, ROAS, attribution, etc.) at a level sufficient to evaluate partners and verify results personally Clear strategic thinking: defining positioning, packaged offers, pricing, growth roadmap Hands-on: initiating partnerships, running campaigns, supporting sales teams, owning processes and P&L Fluency in English; additional languages are a plus Preferred Qualifications: Experience launching new business lines or products from scratch, especially in settings with limited budget or resources Prior experience in the travel or hospitality industry Benefits Fully remote work; flexible working schedule. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: https://emergingtravel.notion.site/recruitment-privacy-notice

Location: Dubai, United Arab Emirates We are currently looking for a strong Senior SMM Manager based in Dubai with exceptional visual taste, high content awareness and strong experience in UAE market. We work with global premium and luxury brands (including Bentley, Trussardi, Elie Saab, and others). Key Responsibilities: • Develop content strategies and editorial guidelines across all group brands. • Manage 4+ accounts across multiple platforms (Instagram, LinkedIn, etc.). • Align key content directly with the agency CEO. • Build and optimize internal SMM workflows independently - no micromanagement. • Track channel metrics using specialized SMM analytics tools and platforms to continuously optimize performance. Requirements • Dubai-based experience is required. • Agency background working with diverse clients and products. • Experience in Real Estate or Luxury segments is a strong plus. • Figma proficiency: Practical skills to create or quickly modify layouts, design social media grids, and prepare brief templates for design teams. • Practical experience with SMM analytical platforms. • Languages: Fluent English, Russian would be a plus. • Process-oriented mindset: Ability to build workflows from scratch. • Growth Ambition: High potential and motivation to step into a Team Lead role. Portfolio Requirements: • Agency cases across diverse niches and products. • Strong visual aesthetics and high-end content examples. • Results in Premium or B2B segments are a big plus. Benefits • Competitive salary package. • UAE Residency Visa & Medical Insurance. • Paid annual leave. • Fast career growth within a high-profile, growing company.

Сбор и формализация требований: формирование реестра требований в виде User Stories/Use Cases с критериями приёмки (AC), привязкой к бизнес‑целям и метриками ценности; Моделирование ролей и полномочий (RBAC);

Location: Remote-Friendly, United States 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 building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in Indiana and Kentucky to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly within Indiana and Kentucky, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities Build and maintain trusted, sustained relationships with county commissioners and councils, Kentucky fiscal courts and judge-executives, mayors and city councils, plan commissions and zoning boards, state and regional economic development organizations, community groups, civic leaders, educational institutions, and workforce partners in the Indiana and Kentucky data center markets you cover Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate Represent Anthropic in public forums, town halls, planning hearings, community events, and local media Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced Work with the Communications team to develop proactive, locally relevant messaging Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including how large electricity needs are served by local utilities and rural electric cooperatives Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows Minimum qualifications Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field Direct experience working for or engaging with county and municipal governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them Based in Indiana or Kentucky or willing to relocate to one of them, and prepared to travel regularly across both states Preferred qualifications 7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government Familiarity with land use, zoning, and permitting processes at the county and municipal level in Indiana and/or Kentucky, including local tax abatement and incentive approvals Experience managing corporate social responsibility programs Established relationships with economic development, workforce, or civic organizations in the markets this role covers Experience working with real estate, legal, communications, and policy teams at the same time A genuine interest in the communities where you work, not just the projects you are managing 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: $265,000 — $295,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: Hybrid ABOUT BEAMERY With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world’s most forward-thinking companies. We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we’re on a mission to fix this by creating equal access to meaningful work, skills and careers for all. We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people. So, what are you waiting for? Join us and help us transform the future of work once and for all. What’s ahead — and why it’s an exciting time to join the team:  Building agentic AI with advanced orchestration (multi-agent workflows, tool use, evaluation loops) that turns complex talent data into decisions. - Training and fine-tuning our own models on unique data about jobs, skills and tasks, and benchmarking them against the best in our market. - Joining an award-winning AI team (ACM RecSys Challenge 2026) that turns new ideas into innovative solutions with scientific rigour. - Sharing our work and learning from industry peers through challenges, conferences and publications. But it’s not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work. ABOUT THE TEAM The Data Science team builds the AI models behind Beamery's Data Foundry, the common data and AI layer powering all Beamery products, and works hand in hand with the product teams to empower their features with AI (such as Talent Match and recommendations). At the heart of our work is the Beamery taxonomy, the language of work (skills, role titles and tasks) that every Beamery product speaks, built on more than a decade of research and kept current by the Taxonomist, our agentic system, so it reflects the real pulse of the job market. We combine LLMs, Transformers and embedding models with classic machine learning, always choosing the best balance between quality, latency and cost. We see ourselves as pioneers in AI for HR Tech: in 2026 the team finished 1st in the industry track and 2nd overall out of 40 teams at the ACM RecSys Challenge. ABOUT THE ROLE You will join the team as a Senior Data Scientist and own our matching, recommendation and taxonomy mapping models, working closely with the product engineering teams that bring them to our customers. You will be responsible for the full cycle of your work, from defining how quality is measured and designing the models to running robust scientific experiments, tracking technical and business metrics, and writing and reviewing code. You will also advise the product teams on how to implement AI features with an evaluation-first mindset, and keep pushing the boundaries of Beamery's AI. KEY RESPONSIBILITIES - Build, improve and own our matching and recommendation models (e.g. candidate to job matching, internal mobility recommendations etc.). - Apply an evaluation-first mindset: build golden datasets from real recruiter and user decisions, define quality metrics, design and run robust scientific experiments, track and report both technical and business metrics (using LLM-as-a-judge and human feedback), and communicate results and metrics clearly to the product teams. - Write clean and tested Python code using AI coding agents (such as Claude Code or Codex), and review code with care, both from your peers and from AI agents, so the team's codebase stays consistent, readable and safe. - Follow recent research (e.g. LLMs, embeddings, recommender systems, explainability, model evaluation) and bring the most relevant ideas into our product roadmap. - Document your work and present it clearly to product, engineering and business stakeholders, and contribute to the team's research visibility (such as challenges, conferences and publications). REQUIRED SKILLS AND EXPERIENCE - A minimum of 2-4 years of experience as a Data Scientist, Senior Data Scientist (or a similar role) in an AI startup or an AI team, with a dynamic environment and a variety of use cases. - Strong experience with recommender systems, search, ranking or matching (e.g. learning-to-rank, scoring models, Gradient Boosting Trees, embedding models). - Fluency in evaluation: designing datasets and quality metrics (such as AUC, NDCG, precision and recall), and using LLM-as-a-judge and human feedback. - A strong foundation in NLP and GenAI, including Transformers, LLMs and embedding models (training or fine-tuning them is a strong plus). - High-quality software development skills in Python (clean design, testing, packaging, maintainable code etc.), practical knowledge of CI/CD, and hands-on experience with agentic coding, with the judgement to know when AI-generated code is right or wrong. - The ability to simplify complex problems, to work with ambiguity, and to collaborate with data scientists, engineers, product managers and business stakeholders. - A Master's degree or PhD, or equivalent experience, in Computer Science, Data Science, Mathematics or a related field. NICE TO HAVE - Experience with explainable or conversational recommendations. - Experience in HR Tech, talent acquisition or workforce data. - Publications, open-source contributions or strong results in ML challenges (e.g. RecSys, Kaggle). WHAT WE OFFER - The chance to own core AI models that are used by some of the world's most forward-thinking organisations. - A team that publishes, competes and is recognised in the research community, while shipping real products. - Work with the latest AI technologies and tools, including AI coding agents as part of the daily workflow. - Close collaboration with experienced data scientists, QA, platform and product engineers. At this time, we are unable to provide Visa sponsorship for this role. Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email accommodations@beamery.com Visit our Diversity, Equality and Inclusion page https://careers.beamery.com/life-at-beamery/diversity-equality-inclusion/to learn more about progress and commitments.

Location: Sydney Workplace: Hybrid 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. We’re looking for an experienced, event-led demand generation marketer to join our APAC team. Based in Australia, this role will lead the planning and delivery of high-impact events and integrated demand generation campaigns across Australia, New Zealand and Singapore. Reporting to the APAC Marketing Director, you will own the end-to-end execution of key marketing programmes—from event strategy and audience acquisition to on-site experiences, post-event follow-up and pipeline impact. You will bring events to life through compelling stories and tightly integrated campaigns across digital, content, paid media, ABM and commercial activation. This is a hands-on role for a versatile marketer who is equally comfortable shaping a plan and rolling up their sleeves to deliver it. You will test, learn and optimise continuously, using data and insight to improve performance and scale what works. Checkout.com http://Checkout.com is growing quickly, and so is our ambition in APAC. We need someone with a strong growth mindset—someone who is energised by change, comfortable operating with ambiguity, and able to create clarity, momentum and results in a fast-paced environment. This is a six-month contractor role based in Sydney, with the potential to extend depending on business needs. How you’ll make an impact - Lead the planning and execution of regional events, including industry conferences, executive roundtables, customer events, partner activations and owned experiences. - Build integrated event campaigns that drive awareness, engagement, qualified pipeline and revenue opportunities—from pre-event acquisition through post-event nurture and conversion. - Drive demand generation across online and offline channels to achieve MQL and opportunity targets, always looking for ways to unlock incremental growth. - Partner closely with Commercial teams in Australia, New Zealand and Singapore to align event and campaign priorities with market needs, target accounts and pipeline goals. - Apply an ABM lens to priority events and campaigns, creating personalised experiences and follow-up journeys for key accounts and buyer groups. - Identify, test and scale new growth opportunities, including new verticals, audiences, partnerships, event formats and paid or organic channels. - Develop strong regional campaign messaging and creative copy, and help build local content assets—including case studies, white papers, blogs, thought-leadership articles and event materials. - Support localised product marketing initiatives and ensure regional programmes reflect market needs. - Measure programme performance rigorously, translating results into clear recommendations and continuous improvement. What we are looking for - 4+ years of B2B marketing experience, with a strong track record in event marketing and demand generation. - Experience managing events end to end, from strategy, planning and execution through to follow-up, measurement and reporting. - A growth mindset: you are curious, commercially minded and always looking for smarter ways to create impact. - Comfortable working through ambiguity and changing priorities; you can make sound decisions, bring structure to open-ended problems and keep work moving. - Experience working in a fast-growing, fast-paced environment, with the resilience and adaptability to manage multiple priorities. - Strong project management skills, with the ability to manage several workstreams, stakeholders and deadlines at once. - Experience with Google Analytics, marketing automation platforms and CRM tools. - Excellent written and verbal communication skills in English. - A natural storyteller who can turn market, customer and product insights into compelling messaging and experiences. - Entrepreneurial, hands-on and proactive, with a strong “figure it out” mentality. - Customer-obsessed, humble, curious and open to continuous learning. - Collaborative and effective in a multicultural, cross-functional environment. 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/

-Собирать, уточнять и формализовать бизнес-, функциональные и нефункциональные требования, формировать backlog. -Моделировать бизнес-процессы и переводить их в логику и архитектуру смарт-контрактов.