Вакансии

Location: AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role and its impact Every Xero relies on the systems behind their working life, from their first day to their last. As PX Systems Manager, you will own the roadmap for around 38 People and Payroll systems, with Workday at the core, and shape how they grow so they are simple to use, well governed and ready for what comes next. You will choose what gets built, improved or retired, and make the trade-offs clear along the way. This is a chance to move beyond a single platform and shape a broad portfolio. You will guide a specialist team, work closely with PX, Payroll, PXIS and Enterprise Technology, and protect payroll accuracy, data quality and compliance, while making everyday work easier for employees, people leaders and PX teams through self-service, automation and AI. The team and how they connect You will join the PX Systems team within Employee Lifecycle and Experience, a newly formed group reporting to the GM Employee Experience. The team brings together a Workday functional expert, PX and Payroll systems specialists and associate analysts who look after day-to-day systems and improvements. They work in step with Payroll, PXIS and Enterprise Technology, who own the technical platform, and they value curiosity, clear ownership and respectful debate. Initially, you will focus on - Getting to know the portfolio, with Workday at its core alongside payroll platforms and tools for hiring, onboarding, learning, engagement and wellbeing. - Agreeing a prioritised PX and Payroll roadmap with partners across PX, Payroll, PXIS and Enterprise Technology. - Making the split of responsibilities between PX, PXIS and Enterprise Technology clear and workable day to day. - Starting an improvement shaped by user feedback, using self-service, automation or AI to reduce manual effort. Where and how you can work This role can be based in Melbourne, Sydney or Wellington. Xero works in a hybrid way with no company-wide mandated office days, so the team will agree a purposeful in-person rhythm that suits the work, and you will be able to contribute fully when working remotely. We value contribution and impact, not office visibility, and we welcome conversations about the flexibility or adjustments you need. Here are some of the things we are looking for - You will Go Bold by turning strategy into a clear roadmap and being open about what will and will not be prioritised. - Your knowledge of HRIS platforms, payroll systems and the wider HR technology landscape gives you a strong base to build on. - Experience working alongside technical or IT teams in a business owner or product owner role means you can translate needs clearly for technical and non-technical audiences. - You have rolled out systems and processes to varied user groups, with a focus on adoption and a great user experience. - You will Go Further by managing vendors, building business cases for technology investment and keeping People data private, secure and compliant. - A Go Together approach comes naturally to you, whether you are coaching a team, staying close to the detail or exploring how AI and automation can improve the way we work. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A real human recruiter reviews all candidates before any hiring action is taken.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: Singapore; Malaysia; Philippines; Indonesia; Thailand; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: Austin, TX About Us Infinitum is revolutionizing the future of motors with our patented Aircore technology — delivering superior performance in half the weight and size, while reducing the carbon footprint compared to traditional motors. Our solutions open up sustainable design possibilities for smaller, lighter, and quieter machines, improving quality of life while conserving energy and reducing waste. Headquartered in Austin, Texas, we are driven by innovation and a commitment to making a positive global impact. Learn more at goinfinitum.com Position: Master Scheduler Location: North Austin, Texas (Onsite) Reports To: Supply Chain Planning Manager Direct Reports: Materials Planner – Motors; Materials Planner – Fan Systems Travel: As required, including Ramos Arizpe, Mexico Position Summary The Master Scheduler is responsible for translating customer demand, forecasts, backlog, and long-range business requirements into an executable, capacity-constrained master supply plan across Infinitum’s Motor and Fan Systems operations. The role owns the Master Production Schedule and provides a forward-looking view of supply, capacity, inventory, and material constraints to support reliable customer commitments. The Master Scheduler is the primary Supply Chain point of contact for Sales Operations / Customer Service for product availability, customer requested dates, and supply commitments. The role leads two Materials Planners located in Ramos Arizpe—one supporting Motors and one supporting Fan Systems—and serves as the focal point for coordinating supply between Motor manufacturing and the Fan Systems contract manufacturing network. Key Responsibilities - Translate customer orders, forecasts, backlog, and long-range demand into an integrated Master Production Schedule for Motors and Fan Systems. - Review customer requirements against available inventory, manufacturing capacity, material availability, supplier constraints, and production lead times before establishing supply commit dates. - Serve as the primary Supply Chain interface with Sales Operations / Customer Service for product availability, customer requested dates, committed dates, pull-ins, expedites, and delivery-risk communication. - Provide realistic and executable customer delivery commitments using available-to-promise and capacity-to-promise principles; escalate requirements that cannot be supported and provide recovery or alternative scenarios. - Review long-range demand against manufacturing capacity, labor, equipment, supplier constraints, and Contract Manufacturer capabilities; identify capacity gaps early enough to support mitigation decisions. - Develop and maintain capacity outlooks by product family and planning horizon and support annual operating plans, forecast reviews, and long-range capacity planning. - Coordinate supply between the Materials Planner – Motors and Materials Planner – Fan Systems to ensure Motor production supports both direct Motor demand and Fan Systems requirements. - Establish priorities and allocation recommendations when available Motor supply cannot fully support all customer and Fan Systems requirements. - Ensure Fan Systems motor requirements are incorporated into the Ramos Arizpe Motor production plan with sufficient lead time to support Contract Manufacturer schedules and customer commitments. - Lead and develop the two Materials Planners; establish planning standards, priorities, operating cadences, escalation requirements, and accountability for schedule adherence and material availability. - Review planner-generated material plans, shortage reports, inventory risks, and production schedules for alignment with the Master Production Schedule and business priorities. - Lead cross-functional demand-versus-supply and production planning reviews with Sales Operations, Purchasing, Manufacturing, Contract Manufacturing, Logistics, Import/Export, Engineering, Quality, GTM, and Finance. - Identify supply, material, capacity, supplier, logistics, and Contract Manufacturer constraints and drive timely recovery plans, escalation, and executive visibility. - Coordinate with Purchasing on long-lead materials and supplier constraints; with Engineering on ECO/MCO transitions and NPI; and with Logistics/Fulfillment on product availability and shipment requirements. - Maintain and govern master scheduling parameters within ERP/MRP and planning systems, including planning horizons, lead times, production rates, capacities, lot sizes, and scheduling rules. - Support implementation and optimization of NetSuite, Kinaxis, dashboards, reporting automation, and exception-based planning processes. - Develop and maintain planning reports and KPIs covering customer commitments, OTIF, master schedule attainment, schedule adherence, capacity utilization, material availability, backlog, forecast alignment, and inventory health. - Conduct root-cause analysis of missed schedules and customer commitments and drive corrective actions that improve planning reliability and execution. Qualifications & Experience Required - 7+ years of progressive experience in master scheduling, production planning, supply planning, materials planning, production control, or manufacturing supply chain. - Demonstrated experience creating and managing a Master Production Schedule in a manufacturing environment. - Strong experience balancing customer demand with manufacturing capacity, material availability, inventory, and lead-time constraints and establishing reliable delivery commitments. - Strong knowledge of MRP, BOMs, capacity planning, production scheduling, inventory management, ATP/CTP concepts, and supply-demand balancing. - Experience coordinating multiple manufacturing operations, product lines, or external manufacturing partners. - Demonstrated people leadership or experience directing planning teams and cross-functional planning activities. - Strong ERP/MRP experience; NetSuite, Oracle, SAP, or similar systems. - Advanced Excel skills, including PivotTables, XLOOKUP/VLOOKUP, data analysis, management of large data sets, and familiar with AI tools. - Strong analytical, communication, and stakeholder-management skills with the ability to make and communicate supply decisions under competing priorities. Preferred - Experience with motors, Fan Systems, HVAC equipment, electromechanical products, electronics, or other complex manufactured products. - Experience coordinating vertically integrated manufacturing where one operation supplies components or subassemblies to another, including Contract Manufacturers and consigned-material models. - Experience supporting manufacturing operations in the United States and Mexico. - Experience with advanced planning systems such as Kinaxis and familiarity with Arena or another PLM system and ECO/MCO processes. - Experience with AI tools, Power BI, DAX, and planning/reporting automation. - APICS CPIM, CSCP, or similar supply chain certification; bilingual English/Spanish is a plus. Competencies That Win in This Role - Customer commitment discipline: makes commitments based on executable capacity, materials, and supply—not optimism. - End-to-end planning mindset: understands the dependency between customer demand, Motors, Fan Systems, suppliers, manufacturing capacity, and inventory. - Forward-looking risk management: identifies supply and capacity constraints before they affect customer commitments. - Decisiveness and prioritization: makes clear allocation and scheduling decisions when demand exceeds available supply. - Cross-functional influence: aligns Sales Operations, Manufacturing, Purchasing, and other stakeholders around one credible supply plan. - Leadership and analytical rigor: develops planners, establishes accountability, and converts complex data into clear business decisions. Key Performance Indicators - Customer On-Time Delivery / OTIF and customer requested date vs. committed date performance. - Master Production Schedule attainment and production schedule adherence. - Backlog and past-due customer orders. - Capacity utilization and timely visibility of constraints. - Material availability / build readiness. - Forecast-to-supply alignment and inventory health. - Timeliness and accuracy of supply-risk escalation and customer commitment updates. Why Join Infinitum - Be part of a sustainability-driven company transforming the motor industry. - High-visibility role directly tied to customer delivery performance and growth. - Opportunity to help scale Infinitum’s integrated supply planning and manufacturing operating model. - Direct exposure to advanced product design and manufacturing execution in a mission-driven company. - Comprehensive Health Coverage (Medical/Dental/Vision) - Short-Term & Long-Term Disability Coverage - Health Savings Account (HSA) - includes employer contributions. - Flexible Spending Account (FSA) & Limited Purpose Flexible Spending Account - 401(k) - Traditional and Roth - Open Paid Time Off (PTO) - 12 Paid Holidays - Community give-back opportunities. - Career growth with exposure to cutting-edge manufacturing supply chain technologies. Infinitum embraces diversity and is an equal opportunity employer. Agency representatives, we appreciate your interest, but we've got this!

❗️ Мы ищем инженера, который уже создавал торговые движки (под свои стратегии или готовое ТЗ) и готов взять под полный контроль low-latency контур — от исполнения ордеров до железа, сети и стратегий на живых деньгах.

Fluidstack is looking for a Security Systems Engineer to design, build, and operate a security control plane across growing data center sites.

Fluidstack is looking for a Security Systems Administrator to manage physical security systems, remediation, patching, and incident response.

• Собирать, анализировать и формализовать требования к доработке существующего функционала и разработке новых возможностей системы.

Location: London, United Kingdom Workplace: hybrid About The Role: Reporting to the Treasury Technology Lead, this is a senior, hands-on role within Treasury, operating at the centre of how Paysend prices and controls FX across 170+ countries. You will own the FX pricing platform end to end, covering how rates are sourced, controlled and delivered to every product. You will also own the automated treasury reconciliation that confirms every treasury movement is accounted for. You will be the go-to person for FX configuration, rate integrity and reconciliation breaks, and the product owner taking these systems from manual processes to automated, production-grade infrastructure. The role requires someone who understands FX markets, is comfortable working directly with data, and has delivered systems into production rather than only specifying them. This is not a pure operations or business analysis role. We are looking for someone who can run a live FX system with financial impact every day, while designing and implementing what replaces the manual parts of it. What You'll Do (Responsibilities): FX Pricing & Rate Management Own the configuration of the FX pricing engine, including instruments, currency pairs, rate sources, quote objects, contracts, tariffs and trade modes. Onboard and maintain rate sources across market data providers, liquidity providers, card schemes, central banks and partner rates, ensuring uninterrupted quote delivery. Set and adjust treasury spreads in line with market conditions and pricing policy, and maintain the treasury rate methodology used by all products. Configure FX pricing for new partners, products and corridors, including stablecoin pairs, with the Enterprise, Consumer and Network teams. FX Risk & Control Run and continuously improve the daily FX rate control process: identifying off-market and invalid quotes, investigating deviations against market and partner rates, and escalating where required. Own FX alerting and monitoring, including deviation thresholds, exception lists and source freshness, replacing manual checks with automation. Manage user roles and access rights in the FX system, maintaining segregation of duties across Treasury, Product, Enterprise and Finance. Provide FX evidence for audits, risk reviews and pricing governance, and supply data for gross margin analysis and the pricing committee. Treasury Reconciliation Own the automated reconciliation of internal treasury transactions (FX deals and transfers) against bank and partner data, including matching logic, exception handling and the manual correction process. Extend reconciliation coverage to new banking and liquidity partners, defining data mappings and transformation rules for each. Maintain the logic that converts reconciled data into NetSuite journals, partnering with Finance and the Settlement and Reconciliation team on accuracy and audit trail. Investigate and resolve reconciliation breaks independently, and report on status and recurring issues. Business Analysis & Implementation Act as the business analyst and product owner for all treasury technology initiatives. Gather, structure and validate requirements with stakeholders, and translate them into functional specifications, data models and acceptance criteria. Lead delivery with Engineering through prioritisation, testing, release validation, user training and production cutover. Drive the roadmap towards an automated treasury FX platform covering price aggregation, FX deal execution with liquidity providers, real-time currency position monitoring, limits and FX booking. Analyse data in SQL and build Python tooling for monitoring, bulk configuration and reporting, using AI-assisted development where it accelerates delivery. Act as the escalation point for FX configuration, access and data requests through the Treasury Helpdesk, and define and enforce Treasury acceptance standards for functionality delivered by other teams. Work independently on ambiguous problems, bringing structured solutions, and document processes, controls and configuration so that the platform does not depend on a single person. What You’ll Need To Be Successful In This Role: Essential: 5+ years in FX within a fintech, payments company, bank or broker, in FX operations, pricing, treasury systems or FX product. Strong understanding of FX market mechanics, including bid/ask/mid, spreads and markups, cross rates, liquidity sources and FX risk drivers. Strong SQL, with the ability to query, validate and reconcile large transactional datasets independently. Working Python, with the ability to build, read, test and maintain data logic, whether written by hand or with AI tools, and take accountability for the results. Proven experience taking FX, treasury or reconciliation functionality from requirements through UAT into production. Hands-on reconciliation experience, including matching logic, break investigation and the link to accounting entries. Familiarity with APIs and integration concepts (REST, authentication, webhooks, JSON/XML). Competencies: Strong attention to detail where configuration errors have direct financial impact, combined with the ability to see the bigger picture. Sound judgement and confidence acting on non-routine market events. Clear written communication of processes, controls and requirements to technical and non-technical stakeholders. Proactive, self-starting approach with a track record of automating manual work. Desirable: Experience with market data providers (e.g. Refinitiv/LSEG) or trading and RFQ platforms (e.g. 360T); familiarity with the FIX protocol. Exposure to FX execution, position management or treasury management systems. Experience with Databricks, NetSuite, or BI tools such as Superset or Metabase. Knowledge of payment rails, card scheme FX, or stablecoin FX. Experience in a regulated environment (FCA/EMI), including safeguarding. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

We are looking for a Business Systems Analyst to join our IT team and help improve the ….

Ищем руководителя проектов, способного самостоятельно организовывать реализацию проектов, управлять командой, сроками, бюджетом и договорными обязательствами, обеспечивая достижение запланированных результатов. Вести проекты полного цикла: от передачи в реализацию до сдачи результатов заказчику.

- Собирать и анализировать требования пользователей и заказчиков. - Описывать бизнес-процессы, пользовательские сценарии, бизнес-правила и функциональные требования.

Мы ищем Senior System Developer с сильной экспертизой в C++ и опытом разработки высокочастотных торговых систем (HFT) на криптовалютном рынке. Ключевое требование - практический опыт разработки и поддержки Market Making-систем с непосредственной работой на централизованных криптовалютных биржах (CEX), в первую очередь Binance.

Выступать главным экспертом по OVS/OVN для архитекторов, лидов разработки и DevOps инженеров.

Location: USA - New York From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a As the Manager of Sales Compensation Systems and Analytics, you’ll operate at the center of go-to-market execution —- owning the systems, data, and analytics that power how Fivetran + dbt labs pays its sellers and measures performance against quota. You’ll build and scale the compensation infrastructure, deliver accurate and timely commissions, and provide insights that inform plan design and executive decisions. You’ll partner closely with Sales Leadership, Revenue Operations, Sales Strategy, Revenue Accounting, Payroll, Legal, and Analytics. This role reports to the Sr. Director, Global Sales Compensation and blends sales compensation administration, systems ownership, data analytics, and operational execution. You’ll drive the automation and accuracy of our commission processes, help scale our compensation platform for a hybrid pricing motion that includes both subscription contracts and usage-based (consumption) revenue, and support high-visibility initiatives across the function. This is a high-impact role ideal for someone who is passionate about leveraging systems, data, and analytics to motivate sales performance and drive operational excellence in a high-growth, cross-functional environment. This is a full-time role with opportunities to connect and build as a team. What You’ll Do Compensation Systems Ownership: Own the configuration, administration, and roadmap of our sales compensation platform (e.g., Xactly, CaptivateIQ, Varicent, or similar), including plan builds, crediting rules, quota and territory loads, and integrations with Salesforce, the data warehouse, and HRIS/Payroll. Partner with Systems and IT on releases, testing, and enhancements. Commission Operations: Oversee the end-to-end monthly and quarterly commission calculation, validation, and payout cycle, ensuring accuracy, timeliness, and compliance with plan documents, including crediting for subscription and consumption-based bookings, overages, and renewals Plan Design Support: Partner with Sales Strategy, Finance, and GTM leadership to model, build, and launch annual and in-year compensation plans, quota structures, and SPIFs; quantify cost of sales and the financial impact of plan changes. Analytics & Insights: Deliver analysis on plan effectiveness, attainment distribution, pay-for-performance alignment, quota capacity, and comp cost as a percent of ARR/bookings to inform decisions by the CRO, CFO, and Sales Leadership. Accruals & Forecasting: Partner closely with Revenue Accounting and FP&A on commission accruals, ASC 340-40 capitalization, variance analysis, and forecast-to-actual tracking of variable compensation expense. Governance & Controls: Own SOX-compliant controls, audit readiness, plan documentation, and dispute resolution processes; ensure data integrity and reconciliation between source systems, the comp platform, and payroll. Automation & Reporting Infrastructure: Use AI tools, SQL (BigQuery), or Python to automate data pulls, build repeatable and auditable processes, and improve the accuracy, speed, and transparency of commission calculations; partner with Analytics, AI Transformation, and Systems on data quality and self-serve reporting. Seller Experience & Reporting: Create automated, executive-ready dashboards and statements (e.g., Looker, Tableau) that give sellers and managers clear, real-time visibility into attainment, earnings, and pipeline-to-pay, and that distill trends into actionable recommendations for GTM leadership. Team Leadership: Provide technical guidance, review work, and help raise the process and analytical standards of the Sales Compensation team Skills We’re Looking For 5-7 years of experience in sales compensation, sales operations, revenue operations, or FP&A, with hands-on administration of a compensation platform Expert-level analytical modeling: builds compensation models from scratch, including cost-of-program scenarios, pay-positioning analysis, attrition and retention-risk modeling, and sensitivity and tradeoff analysis Built with AI: has personally used AI tools (LLMs, assistants, or automation and agent platforms) to build compensation tools, models, or workflows others rely on, and can explain how they work and how outputs were checked for accuracy Technical aptitude: working proficiency in SQL, Python, or similar scripting; experience with Salesforce, BI tools (e.g., Looker), and data warehouses (e.g., BigQuery, Snowflake) Must have CaptivateIQ Statistical judgment: knows when market data is credible or a sample is too small, and presents ranges without false precision Compensation expertise: job architecture, compensation frameworks, market pricing, pay cycles, global compensation practices, and pay-for-performance design, with knowledge of competitor compensation at high-growth tech companies Reasons from first principles: balances best practice with what the business needs and can rebuild a framework when the standard approach does not fit Trusted advisor to senior leaders on sensitive, high-stakes compensation decisions (offers, promotions, retention, org changes), influencing outcomes through data and judgment rather than authority Operational excellence: connects systems, stakeholders, and programs to deliver compensation end to end, accurately and on time Clear communicator: turns complex analysis into a crisp recommendation an executive can act on in one conversation Experience with usage-based or consumption pricing models and the associated compensation design challenges strongly preferred Bonus Skills​ Experience with Tableau or other BI tools, or building dashboards for leaders Experience supporting GTM or sales organizations at a high-growth tech company Experience scaling compensation programs through hypergrowth, IPO, or major organizational change Background in a quantitative field (e.g., finance, statistics, engineering), or equivalent experience The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $148,104 — $185,130 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Dublin, IE 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. Finance Systems Lead, International About the role We are seeking a Finance Systems Lead to join our Finance Systems team at Anthropic, based in our Dublin office. Dublin is our main international finance hub, and in this role you will lead finance systems for our international entities, partnering closely with the US-based leads and product owners for accounting, revenue, tax, and treasury and strongly influencing the approach. You will find what local teams need, shape international priorities, and bring clear recommendations to those partners, while leading the people who build and support these solutions and keeping a single, consistent global platform. This is a critical role that will directly shape how Anthropic's finance organization operates as we expand internationally and scale toward public company readiness. You will work at the intersection of finance domain expertise and technical implementation, partnering with local Finance and Accounting teams, implementation partners, engineering teams, and the wider Finance Systems team to build a world-class financial systems foundation across our global footprint. In this role, you will: International Finance Systems Leadership: Lead the international finance systems agenda for the Dublin finance hub and other international teams (including EMEA and APAC), finding the problems worth solving without waiting to be asked and partnering closely with the product owners for each finance area, with strong influence on the approach. Vision, Strategy & Roadmap: Shape the international vision and strategy with business owners and US product owners, map process maturity, and turn goals into a rank-ordered international roadmap that aligns with each domain's roadmap. Business Partnership: Build trusted relationships with local finance, accounting, tax, and treasury leaders, and work closely with the US-based leads and product owners to agree the approach. Systems Design: Shape international design decisions with the relevant product owners, build for patterns rather than one-off scenarios, and align with global owners on anything that changes the shared platform. Delivery Across the Landscape: Drive delivery of international priorities with the relevant product owners, including multi-book and secondary ledgers, statutory reporting, intercompany, assets and leases, and local requirements such as VAT, e-invoicing mandates, and international payment formats (e.g. SEPA / ISO 20022). Leading Through Others: Lead business systems analysts, contractors, and implementation partners across time zones, coaching them and reviewing their designs and configuration. Operational Health: Make sure international users are supported through month end and quarter end close, with clear ownership of issues and of work handed over from the US time zone. Scaling & Automation: Plan how our systems scale as we enter new countries, identifying opportunities for process improvement and automation, including with AI tooling. Minimum Requirements Have 10+ years of experience in finance systems, ERP implementation, or finance transformation, with at least 3 years as the accountable lead for a program or region Have led a multi-country ERP or finance systems program from requirements through go-live and into operation, as the owner rather than a workstream member Have worked in multi-entity, multi-currency, and multi-GAAP environments, including statutory reporting Have working depth across at least three of Record to Report, order to cash and revenue, Procure to Pay, tax, and treasury Possess a strong understanding of financial accounting under US GAAP and IFRS, including general ledger, consolidation, intercompany, and local statutory reporting Have strong systems design judgment: you build for patterns, know what good architecture looks like, and can read and challenge configuration Find the work yourself: you have started programs nobody assigned, set a roadmap with little direction, and brought clear options to senior finance leaders Have led business systems analysts, consultants, and implementation partners across time zones, and partner well with controllers and with tax and treasury leaders Are comfortable working in fast-paced, high-growth environments with evolving requirements and tight timelines Preferred Requirements Deep Workday Financials experience (comparable depth in Oracle Cloud or SAP S/4HANA is also welcome) Product practice such as PRDs, goals and success criteria, and rank-ordered roadmaps An accounting qualification (e.g. ACA, ACCA, CIMA, or CPA) Experience with Workday Business Assets and lease accounting under IFRS 16 / ASC 842 Experience with Workday Accounting Center or Prism Analytics for journal automation and subledger accounting Experience with VAT, e-invoicing mandates, or international payment formats and banking integrations (e.g. SEPA, ISO 20022) Experience supporting Workday Procure to Pay functional areas, including Procurement, Supplier Accounts, and Banking and Settlement Knowledge of SOX compliance requirements and internal controls for financial systems, including multi-country environments Experience supporting entity setup or expansion into new countries Technical proficiency with SQL, Python, or Workday reporting tools for data analysis and integration support Big 4 or Workday partner implementation experience, or prior experience at high-growth technology companies scaling toward IPO readiness 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: €195.000 — €230.000 EUR 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, NY; San Francisco, CA; Utah Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. About the Role Flex is building a modern compliance organization designed to scale with a high-growth fintech. Our goal is not only to meet regulatory expectations but to operate a technology-forward compliance function that uses automation, data, and AI-enabled workflows to improve quality, speed, and scalability. The Associate Director, CMS, will own and evolve key components of Flex's Compliance Management System and help shape how compliance operates across the company. This role sits at the intersection of regulatory strategy, operational execution, and technology enablement, partnering closely with Product, Engineering, Risk, and Legal to build compliance into how Flex builds and runs its products. This role will own policy and standards, training, program management, and audit support. This is a senior individual contributor role with no direct reports. It reports to the Director, CMS Operations. The right candidate brings strong regulatory expertise and a systems mindset: someone who can turn regulatory expectations into operational frameworks and find ways to modernize compliance through automation and AI-enabled tools. What You Will Do Own CMS policy, standards, and training: keep policies current, approved on schedule, and mapped to regulatory requirements, and keep training complete and current. Serve as the day-to-day contact for partner banks on program management questions and requests; own the calendar of recurring deliverables, checking for accuracy and timeliness before they go out. Run CMS program management: the governance calendar, committee materials, and tracking of control and issue owners to closure. Translate regulatory expectations into clear, durable operational frameworks and controls that keep the organization audit- and exam-ready, and write them so another person can run them. Support audits led by the Director, CMS Operations: prepare CMS evidence, coordinate responses, and track remediation to closure. Use reporting from Compliance Reporting and Analytics and from Testing and Monitoring to find program gaps and drive changes to policy, training, and controls. Use AI tools to speed up policy, training, and documentation work, checking the output before it is relied on. Partner with Engineering and internal tooling teams to embed compliance controls directly into systems, automation, and data pipelines. Act as a strategic partner to Product, Risk, Legal, and Engineering to support operational initiatives and product launches while maintaining regulatory defensibility. Who You Are 8+ years of experience in financial services or fintech compliance with increasing program ownership and strategic scope. Strong experience building or operating Compliance Management Systems or large programmatic compliance functions. Deep expertise in consumer protection regulations, including Reg E, Reg Z, UDAAP, and FCRA. Experience supporting regulatory exams, external audits, or bank partner oversight in a regulated financial services environment. Comfortable finding opportunities to use automation, data, and AI-enabled workflows to improve compliance operations, and in the habit of checking AI output before relying on it. Strong analytical and structured problem-solving skills with the ability to identify systemic risk and operational improvements. Effective communicator able to influence regulators, bank partners, executives, and technical teams. Builder mindset, energized by creating scalable systems rather than maintaining legacy processes. Bachelor's degree required; JD or advanced degree is a plus. Compensation Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) and Tier 3 (Salt Lake City) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location. Tier 1 (NYC/Bay Area) $176,000 — $220,000 USD Tier 3 (Salt Lake City) $149,600 — $187,000 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .