Вакансии

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity The Asset Team is responsible for delivering transparent and reliable asset management experiences across crypto fund movements, portfolio visibility, transaction history and tax reporting. This role will establish a scalable product framework that supports tax reports and statements for users across different jurisdictions, based on applicable regulatory requirements and customer jurisdiction, address and tax-residency information. What You’ll Be Doing Define the long-term vision, strategy and roadmap for customer tax reporting, client statements and transaction history. Establish a scalable global tax reporting platform and expansion framework, enabling new markets and reporting requirements to be supported efficiently. Partner with Tax, Legal and Compliance teams to assess regulatory developments, determine product impact and prioritize regional initiatives based on regulatory risk, customer needs and business strategy. Own the development of the Tax Center, including tax documents, reporting status, transaction。 Lead integrations and product strategy for tax and reporting providers such as TaxBit and Sovos. Depending on the candidate’s experience, contribute to portfolio management and asset analytics products, including asset dashboards, portfolio performance, asset allocation and P&L experiences. What We Look For In You Bachelor's or Master's degree in a relevant field (e.g., computer science, engineering, fintech, business). Prior working experience in well-known Internet/cryptocurrency companies such as Futu, Tiger, Coinbase, etc. preferably in brokerage, tax technology Ability to translate tax, regulatory and financial requirements into scalable product capabilities, workflows and data requirements. Experience with digital asset tax reporting, cost basis, gains and losses calculations, tax forms or e-invoicing. Rigorous, detail-oriented, and composed under pressure. High sense of ownership and accountability. Excellent analytical and problem-solving skills, with the ability to make data-driven decisions and prioritize competing demands. Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence stakeholders. Proficiency in English as it can be used as a working language, Mandarin speaking will be mandatory. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ONSITE #LI-WWW Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Tbilisi, Georgia; Belgrade, Serbia; Nicosia, Cyprus; Bogota, Colombia Workplace: remote Ready to architect high-impact campaigns across a portfolio of global brands? We're looking for a programmatic advertising expert who thrives on data, solves problems on the fly, and loves mentoring others to do the same. Be the Architect of Campaigns : Take the lead in executing complex advertising campaigns across multiple programmatic platforms for clients from a wide range of industries, including FMCG, retail, pharmaceuticals, agriculture, education, and others. Optimize Through Data : Monitor campaign performance employing advanced analytics tools and data-driven insights to optimize strategies and maximize impact. Problem Solver Extraordinaire : Troubleshoot and resolve any ad serving or performance issues, keeping campaigns on track and clients happy. Insights That Matter : Prepare detailed reports encompassing campaign metrics, analyzing key performance indicators (KPIs), and delivering actionable recommendations for ongoing enhancements. Empower Collaboration : Partner with the team to streamline workflows and hit campaign goals. Grow Future Talent : Provide guidance, support, and training to team members to strengthen their programmatic expertise and confidence. Digital Marketing Expertise: At least 3-4 years in a digital marketing agency, where you've honed your skills in a fast-paced environment. Platform Expertise: Proficiency in DV360, The Trade Desk, Amazon DSP e.t.c Mentorship Mindset: You enjoy sharing knowledge, guiding teammates, and helping others grow their skills to deliver stronger campaign results. Strong Communicator: You can translate data and insights into clear, actionable ideas that resonate with both clients and colleagues. Analytical Problem-Solver: You love digging into numbers, finding patterns, and turning challenges into smart, data-backed solutions. Language Proficiency: Fluent English (B2+ minimum, C1 preferred).

Задачи: • Владение архитектурой и поставкой сервисов прогнозирования, ранжирования и рекомендаций. • Проектирование воспроизводимых рабочих процессов обучения, оценки, мониторинга и переобучения. • Перевод целей продукта в измеримые задачи машинного обучения, эксперименты и релизы. Требования: • Более 5 лет профессионального опыта в разработке программного обеспечения или машинного обучения с производственными системами. • Продвинутые знания Python и SQL; сильные навыки в статистике, экспериментах и оценке моделей. • Опыт работы с оркестрацией, контейнерами, облачной инфраструктурой, наблюдаемостью и CI/CD. • Умение отлаживать ошибки данных и моделей. • Опыт в прогнозировании, ранжировании, рекомендациях, оптимизации или другой прикладной области машинного обучения. • Владение английским языком для технической документации и межфункционального взаимодействия.

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity About the Liquidity Platform The Liquidity Platform provides technology covering the full lifecycle of cryptocurrency trading, including venue connectivity, real-time market data processing, automated quoting and trading, order execution, position management, risk controls, and data analytics. The platform connects to centralized exchanges, decentralized venues, and event contract markets worldwide. It supports spot, derivatives, and event contract products and provides stable, efficient infrastructure for our liquidity business. About the Options Market Making Team The Options Market Making team develops and operates automated options quoting and trading systems. Our responsibilities span market data integration, options pricing, volatility and Greeks calculations, automated quoting, order execution, position management, hedging, and risk controls. The team owns the complete trading lifecycle and continues to advance both the multilingual development of our trading systems and our AI-native engineering practices. In this role, you will contribute across the trading system, develop an understanding of its different business domains, and take end-to-end responsibility from requirements analysis and implementation through production operation. What You’ll Be Doing Design, develop, and operate automated options market making systems covering market data, pricing, quoting, order execution, hedging, positions, and risk controls. Work closely with trading, quantitative, and product teams to translate business requirements into reliable, testable production systems. Contribute to the development of trading systems and continuously improve the performance, stability, and maintainability of critical trading paths. Follow an AI-native engineering approach by applying AI coding tools to requirements analysis, technical design, development, testing, and code review, while remaining accountable for the quality of the final delivery. Improve testing, monitoring, alerting, and recovery capabilities, and participate in incident resolution and post-incident reviews. Own the technical design and code review of core modules. Senior and Staff engineers will also lead cross-module projects and architectural evolution. What We Look For In You Bachelor's degree or above in Computer Science, Software Engineering, Mathematics, Physics, or a related discipline. At least two years of experience in backend engineering, real-time systems, infrastructure, or trading systems. Proficiency in at least one of Java, Rust, or C++, with the ability to work effectively in a multilingual codebase. Strong computer science fundamentals, including operating systems, network communication, multithreading, concurrent programming, and distributed systems. Proficiency in using AI coding tools for requirements analysis, development, testing, and code review, with the ability to independently evaluate and validate AI-generated designs and code. Strong analytical skills, business understanding, ownership, and communication skills, including the ability to read technical materials and communicate in written English. Technical Requirements Proficiency in developing production systems with Java 17+, Rust, or C++, with the ability to design, implement, and troubleshoot within a multilingual codebase. Familiarity with Linux development and runtime environments, including the use of common tools for resource analysis, performance diagnostics, and troubleshooting. Experience with multithreading, asynchronous processing, network I/O, and high-performance data structures, with an understanding of lock contention, memory allocation, caching, garbage collection, and their impact on latency. Ability to use AI coding tools to support requirements analysis, development, testing, and code review, while independently validating the correctness and production safety of generated code. Familiarity with TCP, UDP, WebSocket, HTTP, or proprietary exchange protocols, with experience developing real-time data or trading interfaces. Ability to design and optimize high-throughput, low-latency systems and identify bottlenecks through profiling, benchmarking, and production metrics. Familiarity with real-time messaging and inter-process communication. Experience with Aeron, shared memory, lock-free queues, or binary protocols is preferred. Experience building logging, metrics, alerting, and automated recovery capabilities for continuously operating production systems. Familiarity with build and dependency management for large multi-module projects, together with experience in unit testing, integration testing, and continuous integration. Preferred Qualifications Experience in options market making, quantitative trading, exchange connectivity, market data, order management, quoting, hedging, or risk systems. Understanding of order books, order lifecycles, and market microstructure. Understanding of options pricing, volatility, Greeks, PnL, inventory risk, and dynamic hedging. Experience developing low-latency trading systems, real-time market data systems, or high-performance network services. Experience evolving multilingual systems or separating performance-sensitive components. Experience with market data replay, strategy simulation, trade reconciliation, or production incident resolution. Experience using Python for data analysis, backtesting, or production diagnostics. Practical experience using AI coding tools such as Claude Code or Codex in production projects. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Vladivostok Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com.   ABOUT YOU We are looking for a Backend Engineer at junior level to join our APAC Partnerships team in Vladivostok, working alongside our HQ Integration Management and Engineering teams. Your job is to make partnerships technically real: turning an inbound partnerships inquiry into a working integration, generating and serving the affiliate and referral links that Traffic Source Partners use, and making sure the traffic those links carry lands correctly in our Web Shops and is attributed all the way through to a purchase. You will write the backend that sits between a partner and our commerce platform — link generation, click and conversion tracking, attribution pass-through, postbacks, and the reporting endpoints that feed partner payouts. You will also build the internal tooling that lets the Partnerships and Customer Success teams onboard partners and reconcile payouts without hand-editing spreadsheets. This is an entry-level engineering role with genuine product surface area. Recent graduates and career-changers with a strong project portfolio are welcome. If you like small, well-scoped systems that other people depend on daily, and you want to learn commerce, attribution, and payments engineering from a team that runs it at global scale, we would love to hear from you. RESPONSIBILITIES Build partner integrations Build and maintain backend services that power Traffic Source partnerships: affiliate and referral link generation, click and conversion tracking, attribution parameter pass-through, server-to-server postbacks and webhooks, and partner-facing reporting endpoints. Take new partnerships inquiries from intake through to production — clarify the requirement with the Partnerships and BD teams, write the technical spec, implement, test, and deploy. Integrate affiliate links with Xsolla Web Shops so partner-driven traffic is tracked end to end and attributed correctly at checkout. Read a partner's API documentation and build against it; where a partner needs to build against us, document our side clearly and support their integration. Tooling & data Build internal tooling and scripts for partner onboarding, bulk link generation, performance data extraction, and payout reconciliation reporting used by the Customer Success and Partnerships teams. Investigate and resolve attribution and tracking discrepancies together with Analytics and Customer Success — missing conversions, duplicate events, broken parameters, timing mismatches. Add logging, metrics, and alerting so integration failures are caught by us rather than reported by a partner. Ways of working Write and maintain API documentation and integration guides for partners and internal stakeholders. Participate in code review, write tests, and work within existing CI/CD pipelines and Git workflows. Work with the HQ Engineering and Integration Management teams on standards and architecture; escalate design decisions early rather than working around them. Collaborate closely with the Partnerships Designer on the frontend surfaces your integrations power, and with Customer Success on the payout data your services produce. Track work in Jira and keep technical documentation current in Confluence. REQUIREMENTS 1–4 years of professional backend development experience, or a strong portfolio of personal, academic, or internship projects you can walk us through. Recent graduates are welcome. Working proficiency in at least one backend language — Go, PHP, Python, Node.js / TypeScript, or Java. Solid SQL and relational database fundamentals (schema design, joins, indexing basics). Good understanding of HTTP, REST APIs, JSON, webhooks, and API authentication (API keys, OAuth 2.0). Comfortable with Git and working in a code-review culture. Able to debug a problem you did not write — read logs, reproduce, isolate, and explain the cause. English sufficient for technical discussion and written documentation with HQ teams; Russian for day-to-day work in the Vladivostok office. Based in, or willing to relocate to, Vladivostok for an onsite role. NICE TO HAVE Exposure to affiliate or performance marketing technology: tracking pixels, S2S postbacks, click IDs and UTM parameters, last-click attribution, deduplication, or traffic-quality and fraud filtering. E-commerce, storefront, checkout, or payments integration experience. Frontend basics (JavaScript / TypeScript, React) — enough to work productively with the Partnerships Designer on shop and landing-page surfaces. Docker, CI/CD pipelines, and cloud platforms (GCP or AWS). Message queues, scheduled jobs, or data pipeline experience. Familiarity with analytics or BI tooling. Interest in the gaming industry, fintech, or high-load consumer platforms. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Benefits   Convenient working tools: New Mac laptop and any other necessary equipment for your efficient work. Google Workspace, Atlassian, Jira, Slack   Professional growth: Paid professional training and attendance at specialized conferences Exchange of experience between employees within the company Opportunity for professional growth within the company and department Obtaining expertise in various areas and products of the company   More perks Possibility of flexibility working Access to the corporate library Health & dental insurance No dress code Comfortable and new office environment   The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Argentina; Brazil; Colombia; Chile; Mexico; Peru Partner One is a leading investment group with a 30-year history of acquiring and growing successful software companies. Trusted by over 2,000 of the world’s largest corporations and governments, Partner One owns some of the fastest-growing enterprise software companies globally. Partner One is looking for an Investment Associate to join the team. This is a full-time, permanent role. The Investment Analyst will be part of the Mergers and Acquisitions team and will be responsible for supporting activities related to due diligence and the execution of acquisitions. Responsibilities Conduct overview and analysis of commercial and financial data of acquisition targets. Formulate and present the assessment of the acquisition targets’ initial fit. Conduct market research to understand industry trends and recognize new acquisition opportunities. Identify software businesses that meet our acquisition criteria and metrics, and move opportunities through the deal cycle. Support the M&A team with various ad hoc tasks related to the closing of live deals. Collaborate and coordinate with cross-functional teams on data requests, information sharing, project team meetings, and deal execution. Requirements Between 3 and 7 years of experience in one or more of the following areas is required: Transaction advisory services, including Quality of Earnings and Quality of Revenue engagements Buy-side financial due diligence advisory Public accounting / external audit serving technology or software companies Corporate development, FP&A, or finance at software or SaaS businesses Revenue accounting and operations at software or SaaS businesses Controllership / accounting operations at software or SaaS businesses Business operations or strategic finance at software or SaaS businesses Strong experience analyzing and evaluating software and SaaS companies Working knowledge of US GAAP and IFRS accounting standards and policies. Demonstrated strong academic performance at a top-tier institution. Degree in Finance, Accounting, or a related business field; CPA or CFA track is a significant plus. Maturity and presence to interact effectively with C-level executives. Self-starter with strong sales and communication skills. Strong command of written and spoken English. Strong analytical and Microsoft Suite skills, with a high attention to detail.

Location: United States The Account Executive will personally own end-to-end revenue generation. This includes outbound prospecting, pipeline creation, deal execution, and closing across the attractions and entertainment industry. This role is designed for a highly autonomous senior seller with a deep existing industry network, strong outbound discipline, and the ability to use AI as leverage. Here is a little window into our client: Our client is the leading provider of innovative cashless payment solutions for the entertainment industry including amusement parks, waterparks, family entertainment centers, arcades, events and attractions. They offer a range of cutting-edge hardware/software solutions designed to integrate seamlessly with their customers’ infrastructure. From robust Point-of-Sale systems and self-service kiosks to handheld devices and access control solutions, their hardware is built to withstand the demands of high-volume environments. The successful candidate will be based anywhere in the US, working in a remote work model, with a requirement to travel as and when required for external and internal meetings! Key Responsibilities Revenue Growth: Full revenue ownership for a defined portfolio, territory, or set of accounts Sales Planning and Execution: Develop go-to-market strategy and plans that support sustainable growth and align with the overall company goals Customer and Stakeholder Engagement: Responsible for outbound prospecting and self-sourced pipeline creation in addition to inbound opportunities with direct engagement with owners, executives, and senior operators (GM, COO, CFO, CTO) at attractions and venues. Manage end-to-end complex, consultative sales cycles, from first outreach through close Reporting and Analytics: Create and manage sales forecasting and performance reporting that tracks and analyzes KPIs such as quota attainment, deal conversion rates, sales cycle length, and pipeline health. Regularly present sales performance insights and strategies to the executive team Tools and Technology: CRM hygiene, pipeline management and use of AI-driven sales workflows (account research, prioritization, messaging, sequencing, etc.) Cross-Functional Collaboration: Close collaboration with customer success and leadership to inform positioning, pricing, and customer feedback. Identify expansion and cross-sell opportunities with potential partners Process Improvement: Work closely with team to implement and optimize sales processes. Collaborate with other functions to improve lead quality and sales enablement Requirements Bachelor’s degree in Business, Marketing, or a related field Experience selling B2B SaaS in the entertainment industry (i.e., amusement parks, waterparks, family entertainment centres, arcades, events and attractions, etc.) Deep, active, and current network within the attractions and entertainment industry Proven track record as a strong outbound hunter who personally creates and closes pipeline Demonstrated success in highly autonomous or sales roles Comfort leading technical, product-driven, and consultative sales conversations Executive presence and credibility with C-level and senior operational leadership Active, hands-on use of AI in daily sales workflows Builds long-term trust and understands client pain points Self-starter mentality – Your instinct is to figure out what is next and move with or without explicit direction Flexible, easily adaptable to change Excellent communication and presentation skills Ability to travel globally for industry events, trade shows, or team meetings A valid passport, driver's license, and the ability to rent a vehicle are required Fluent in English, both written and verbal, is essential Legally authorized to work in the US Benefits Autonomy and influence to shape long-term commercial strategy A culture built on operational excellence, transparency, and entrepreneurial thinking Competitive salary and bonus structure based on performance Health insurance, 401(k) with company match, and paid time off Opportunities for professional development and career advancement

Location: South Africa; Philippines; North Macedonia; Morocco; Serbia; Bosnia and Herzegovina 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 fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is a dynamic recruitment and talent solutions platform dedicated to bridging the gap between high-growth startups and top-tier professional talent. By leveraging innovative sourcing strategies and deep industry insights, the team helps organizations across various sectors scale their operations with precision. They specialize in identifying specialized skill sets for modern businesses, ensuring that both candidates and employers find the perfect alignment for long-term success. As a fast-growing player in the human capital and HR technology space, the company operates with a remote-first mindset that prioritizes efficiency and impactful connections. The team is driven by a mission to modernize the hiring experience through data-informed decision-making and a highly collaborative internal culture. For professionals looking to make a significant impact within a scalable, forward-thinking environment, this organization offers an exciting opportunity to shape the future of talent acquisition and workforce development. Job Summary We are seeking a high-energy, hands-on Business Development Manager to lead a team of four specialists while maintaining an active presence on the front lines of sales. This is not a "sideline" management role; it is a position for a true sales leader who thrives on coaching, analyzing data, and closing deals. You will be responsible for driving accountability, optimizing outbound campaigns, and ensuring the team consistently hits aggressive revenue goals within the staffing and recruiting industry. If you are an expert at turning raw data from tools like Apollo and Aircall into actionable sales strategies, we want to hear from you. Key Responsibilities Team Leadership & Performance: Manage, coach, and mentor a team of four Business Development Specialists, conducting weekly 1-on-1s and sales meetings to drive KPI accountability. Sales Strategy & Optimization: Analyze outbound campaign performance (reply rates, meetings booked, and conversions) to refine messaging, target personas, and outreach sequences. Data-Driven Coaching: Utilize Apollo, Aircall, and CRM analytics to diagnose underperformance, review call recordings, and lead role-play sessions to improve the team's objection handling and discovery techniques. Personal Production: Lead by example by maintaining a personal pipeline and closing a minimum of one new deal per month. Pipeline Management: Monitor CRM discipline to ensure all prospects, opportunities, and agreements are accurately tracked and forecasted. Discovery & Closing Support: Join team discovery calls to assist in uncovering pain points, identifying decision-makers, and advancing prospects toward signed agreements. Requirements Minimum of 5 years of experience managing or supervising a Business Development or Sales team. Proven experience in the BPO, RPO, or Direct Staffing industry is mandatory. Expert-level proficiency in outbound prospecting, including cold calling, email sequencing, and LinkedIn Sales Navigator. Strong analytical skills with the ability to diagnose why a campaign or representative is underperforming using specific data metrics. Mastery of the full sales cycle: prospecting, discovery, objection handling, and closing. Ability to create and implement performance recovery strategies when KPIs are not met. Excellent written and verbal communication skills with a focus on value-based selling. Advanced experience with Apollo, Aircall, and LinkedIn Sales Navigator. Familiarity with multi-channel sales sequencing tools and advanced CRM reporting. Experience developing custom sales training modules and rebuttals for the staffing industry. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 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: Serbia; Albania; Bosnia and Herzegovina; Kosovo; Montenegro; North Macedonia Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Data Architect to join its innovative team. About the Role We are seeking a highly experienced Senior Data Architect with demonstrated ownership of enterprise-scale Azure Data Platform architectures. The ideal candidate will be responsible for designing, modernizing, and optimizing complex data environments, while defining clear architectural direction and delivering implementation-ready solutions. This role requires a combination of strategic thinking and hands-on expertise across Azure Data Platform technologies, Databricks, data warehousing, and modern data architecture practices. Responsibilities Design and own enterprise-scale data platform architectures on Azure. Assess existing data environments and identify opportunities to improve scalability, performance, maintainability, and data quality. Define and implement modern data platform architectures using Azure services and Databricks. Design reusable and metadata-driven data ingestion frameworks. Architect and optimize structured and unstructured data processing solutions. Design and maintain scalable data models and analytical platforms. Define both tactical improvements and long-term target-state architectures. Create architecture documentation, technical specifications, and implementation guidelines. Collaborate with engineering teams, stakeholders, and business users to translate requirements into scalable solutions. Establish best practices for data governance, architecture standards, data quality, and platform reliability. Support engineering teams during implementation and architecture adoption. Must Have Proven experience as a Data Architect with end-to-end architecture ownership. Strong hands-on experience with the Azure Data Platform . Minimum 4 years of recent Azure experience. Strong expertise with: Azure Synapse Analytics, Azure Data Factory (ADF),Azure Data Lake Storage (ADLS),Azure SQL / SQL Server, Azure Cosmos DB, Databricks Strong experience with: Data Engineering, Data Warehousing, ETL/ELT architectures, Data Modeling, Incremental Processing, Cloud Data Platforms Advanced SQL and Python skills. Experience designing and implementing large-scale cloud data solutions. Strong experience working with both structured and unstructured data. Excellent communication and stakeholder management skills. Azure Synapse Expertise The successful candidate should demonstrate deep knowledge of: Synapse Pipelines Spark Pools Serverless SQL Dedicated SQL Pools Workload optimization and architecture design Data lake integration patterns Large-scale analytical platforms Azure Cosmos DB Expertise Hands-on experience with: Data modeling, Partition key strategy, Indexing, Scalability design, Throughput and RU optimization, Cost optimization, Consistency models, Change Feed, Distributed database architectures What We're Looking For Strong architecture ownership and decision-making experience. Experience modernizing and improving existing data platforms. Ability to quickly assess complex environments and provide actionable recommendations. Experience designing reusable and scalable ingestion frameworks. Deep understanding of structured and unstructured data processing. Strong data modeling experience for enterprise analytics platforms. Ability to balance short-term business needs with long-term architectural vision. Technology-neutral mindset when selecting tools and services based on requirements, scalability, performance, and cost. Experience producing implementation-ready architecture deliverables. Nice to Have Lakehouse architecture experience. Experience with AI-driven analytics solutions. Data governance and compliance experience. Experience supporting enterprise reporting and analytics environments. Knowledge of modern cloud-native architecture patterns. Technology Stack Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure SQL / SQL Server, Azure Cosmos DB, Databricks, Python, SQL, ETL/ELT, Data Warehousing, Data Modeling What We Offer Challenging enterprise-scale projects. Opportunity to drive architecture decisions and platform modernization initiatives. Collaboration with international teams. Long-term cooperation and professional growth opportunities. Innovative and supportive work environment.

Задачи: — Полное ручное тестирование мобильного приложения на Android и iOS (функциональное, интеграционное, UX/UI, совместимости устройств и версий ОС, локализация, базовое нагрузочное тестирование). — Планирование и выполнение регрессионного тестирования для релизов и хотфиксов, определение приоритетов тестов и зон риска. — Создание и поддержка тестовой документации: тест-планы, чек-листы, тест-кейсы, отчёты о тестировании. — Оформление детализированных баг-репортов, контроль жизненного цикла багов и верификация исправлений. — Участие в ревью требований и игровых дизайнов, оценка рисков и предложение улучшений качества. — Взаимодействие с разработчиками, геймдизайнерами, аналитиками и продюсерами. — Участие в анализе инцидентов продакшена и поиске корневых причин. Требования: — 4–5+ лет опыта в тестировании мобильных игр, включая коммерческие релизы на iOS и Android. — Понимание полного цикла разработки игр и роли QA на всех этапах (прототип, soft launch, глобальный релиз, live-ops). — Опыт ведения фичей под ключ: проработка требований, планирование, подготовка тестового покрытия, тестирование на всех этапах, сопровождение релиза и контроль качества после выката. — Опыт с клиент-серверной архитектурой игр (авторизация, прогресс, матчмейкинг, внутриигровые события). — Опыт работы с игровыми движками (преимущественно Unity). — Опыт тестирования монетизации: in-app покупки, подписки, реклама, проверка интеграций сторонних SDK. — Опыт работы с системами контроля версий (Git/GitHub/GitLab) и базовое понимание CI/CD-пайплайнов. — Навыки работы с инструментами анализа трафика и API (Postman, Charles Proxy и/или аналогичные). — Опыт работы с аналитическими платформами (Firebase Analytics, Appsflyer, Adjust, Amplitude). — Уверенные навыки работы с Jira и Confluence; опыт ведения тестовой документации в TestRail или аналогах (Qase, Zephyr, Xray, Testmo). Условия: — Гибкий график, никаких трекеров времени, ориентируемся на результат. — Удалённая работа с возможностью отсутствия при уведомлении через Slack. — Компенсация обучения, онлайн-английский, техника при необходимости. — 21 рабочий день отпуска + 2 day off + 3 sick day, зимние каникулы 2 недели и дополнительные праздники.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD This role owns how Higgsfield measures its product - from the first sign-up to whether people come back. You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing. You make sure: - Every product decision has a number attached to it before it ships and after it ships - Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work” - The events the product emits can be trusted; you own the definition, not just the query - A PM gets an answer in hours, not next sprint You are the person who decides what “it worked” means. WHAT YOU WILL DO Product measurement - Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment. - Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack. - Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it. - Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it. Experimentation - Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics. - Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity. - Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud. Product & monetization analysis - In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups. - Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model. - Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.” - Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters. Making it usable - Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive. - Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts. - Automate recurring reporting so your hours go to new questions, not refreshes. - Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax. WHO WE'RE LOOKING FOR We're looking for an analyst with opinions. You should have: - Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help. - Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily. - Real experimentation experience: you have designed tests, run them, and killed features with the results. - Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win. - Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits. - The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact. - Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change. - Clear written and spoken English, B2+. Backgrounds that often do well: - Product analysts from consumer subscription or PLG products - Growth/BI analysts who moved into product and stayed - Early-startup analysts who built product measurement from zero - Data scientists who got tired of models and want decisions WHAT THIS ROLE IS NOT This role is not a fit if you: - Wait for a ticket to tell you what to analyze - Want to build models more than you want to change decisions - Need a data engineering team and clean tables to exist before you can start - Would report a lift you don't believe in because a stakeholder wants it - Need perfect data before you can say anything useful - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.   WHAT THIS ROLE MEANS AT HIGGSFIELD Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing. This role makes the company act per user, and know what that action was worth. You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number. You make sure: - Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else - We know who is about to churn early enough to do something about it — and we know whether the something worked - Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three - Every model and every campaign has a holdout behind it, so we can always state what it is worth in money WHAT YOU WILL DO Churn, retention & lifecycle propensity - Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it. - Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing. - Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system. - Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list. Uplift modelling & offer targeting - Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves. - Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes. - Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off. - Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup. - Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it. Lifetime value & payer economics - Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount. - Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes. - Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling. - Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it. Experimentation & causal measurement - Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it. - Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying. - Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud. - Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck. How we ship - Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining. - Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit. - Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score. - Write down what each model is worth, in money, and keep that number current. WHO WE'RE LOOKING FOR - Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this. - Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale. - Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift. - Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot. - Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer. - Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model. - Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule. - Clear written and spoken English, B2+. Backgrounds that often do well: - Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached - CRM and lifecycle data scientists who owned campaign targetingandits incrementality - Causal inference and uplift specialists who ship policies rather than papers - Strong product analysts who moved into modelling and kept the decision instinct WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open - Want to own a recommender or a serving stack — ranking is not in this role's scope today - Would target an offer at the users most likely to buy and call it personalization - Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't - Optimize AUC and hand the score to someone else to work out what to do with it - Need clean labelled data, a feature store and an experimentation platform to exist before you can start - Want predictable 9–5 workdays HIRING PROCESS We move fast: - Screening call (30 min) - Technical interview & case study (1 hour) - Practical home task (7 days) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

About The Opportunity The Chief Auditor will serve as MoonPay's internal audit executive, responsible for designing, building, and leading an independent, risk-based audit function across MoonPay. This is a rare opportunity to build a best-in-class audit capability from the ground up within a crypto-native company at the intersection of traditional finance, digital asset infrastructure, and global regulatory complexity. The Chief Auditor will provide the MoonPay Board and senior leadership with independent assurance that MoonPay's risk management, control environment, and governance frameworks are operating effectively across a multi-entity global footprint. What you'll do Lead the design, development, and management of MoonPay's internal audit function from inception. Establish risk-based audit plans aligned with enterprise risk management and strategic objectives. Provide independent assurance to the Board and senior leadership on risk management, controls, and governance. Oversee audit execution, including scoping, fieldwork, reporting, and follow-up on remediation actions. Collaborate with external auditors and regulators to ensure regulatory compliance and continuous improvement. Build and lead a high-performing audit team, fostering a culture of accountability and continuous learning. Requirements Experience designing, building, and directing an internal audit function in a complex, multi-entity global organization. Strong knowledge of risk management, control environments, governance frameworks, and regulatory expectations across multiple jurisdictions. Proven ability to work with executive leadership and the board to translate risk into actionable insights. Experience in crypto, digital asset infrastructure, or financial services is highly desirable. Excellent leadership, communication, and collaboration skills. Qualifications Significant senior-level internal audit leadership experience (e.g., Head of Internal Audit, Chief Auditor). Demonstrated track record of building an audit function from the ground up in a fast-paced environment. Relevant professional certifications (e.g., CIA, CPA, CISA, CA, or equivalent). Strong understanding of regulatory, legal, and compliance frameworks applicable to digital assets and fintech. Team description Lead and develop MoonPay's internal audit team, collaborating with risk management, compliance, finance, and operations to provide comprehensive assurance across the organization. Tech stack Experience with audit management tools, data analytics, and regulatory technology; familiarity with platforms used for risk assessment, control testing, and governance reporting in a global, crypto-enabled environment. Benefits & perks Competitive compensation and equity opportunities. Comprehensive health, dental, and vision plans. Flexible work arrangements and a dynamic, high-performance culture. Opportunities to shape a growing function at the intersection of finance and crypto. Who you are A strategic leader with hands-on experience building and running an internal audit function in a global, regulated setting. Discerning, detail-oriented, and capable of communicating complex risk concepts to diverse audiences. A collaborator who can influence at the Board level and partner across functions.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT ORGANIC GROWTH MEANS AT HIGGSFIELD Organic growth here is the set of channels that convert without media spend: search, AI assistants, and the content ecosystem they pull from. The channel has already brought in $2M in under a month, and conversion keeps climbing. So this isn't an experiment in the dark. It's a proven channel that nobody has figured out how to scale yet, because the rules are still being written. Millions of people now ask ChatGPT, Claude, Gemini and Perplexity which tool to use instead of typing it into Google. What those answers say about Higgsfield decides who discovers us and whether they choose us. An Organic Growth Manager here is a high-agency operator who: - treats SEO, AEO and GEO as one channel, not three disciplines; - turns observations into hypotheses, tests them, and scales what moves the number; - builds systems and automations instead of doing the same research by hand every week; - moves work through adjacent teams, not just through their own hands; - owns the line from visibility to sign-ups, not just rankings. WHAT YOU WILL OWN Visibility across search and AI assistants - Understand how Higgsfield and competitors appear across Google and across LLMs — and why; - Map how people actually ask for products in our category, and identify the queries worth winning; - Find the gaps and the weak spots, including results that currently work against us. The source ecosystem - Understand which sites, communities, creators and formats different engines trust and retrieve; - Shape what information exists about Higgsfield online and how our category gets described; - Work with content, product and external partners to turn that into things that actually get published. Measurement and experimentation - Connect visibility, citations, traffic, sign-ups and revenue — the channel is judged on conversion, not vanity metrics; - Build lightweight systems (Sheets, APIs, scripts, automation tools) to cut manual work; - Continuously test new sources, formats and tools as the engines evolve. WHO WE'RE LOOKING FOR We don't require experience in AEO or GEO — almost nobody has it. We care about how you solve unfamiliar problems, and about what you've already delivered somewhere else. Must-have - A measurable result you can walk us through. Which metric you moved, by how much, and what part of it was yours; - You turn data into decisions — and can explain why that decision and not another - Technically curious: you figure out new tools, systems and data on your own; - Has built or automated something before, rather than doing the same thing by hand every week; - Can move work through adjacent teams and external sites, strong cross-functional and partner skills - Fluent English, and comfortable working with content when needed; - High ownership: you don't wait for a task list, you understand the goal and figure out how to get there; Good to have - Experience in SEO, growth, analytics, content, engineering or automation; - Familiarity with LLM retrieval, RAG, or technical SEO; - Your own project, product or business — anything you built without a brief; - Strong understanding of the GenAI ecosystem. WHAT THIS ROLE IS NOT - It's not a channel with an existing playbook to execute; - It's not a role where someone hands you a task list; - It's not a fit if you prefer strategy over execution, or want predictable 9-to-5 workdays. THE DEAL - Competitive salary in USD, reviewed as you grow; - On-site role in Almaty, Kazakhstan; - Access to Higgsfield products and the AI tools we use internally; - Breakfast, lunch and good coffee on us;

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Our Corporate teams support the company's performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo's Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo's success. ROLE We're looking for a Senior Finance Data & Systems Analyst – Pigment Lead, AI & BI to join our Corporate team. In this role, you'll be the internal expert and owner of our Pigment platform, while driving data, automation, and AI initiatives to elevate the Finance team's performance and service quality across FP&A and Accounting. - Progressively take full ownership of Pigment's rollout and upkeep, reducing dependency on the external service provider and becoming the go-to internal expert on the tool - Optimize platform configuration, drive integration development, and build a strategic roadmap to support consolidation and reporting needs across FP&A and Accounting - Design and implement, together with the Head of FP&A, a structured budgeting process in Pigment, including workflow, calendar, and contributor governance - Adapt and evolve Pigment use cases tied to the Accounting close process, in collaboration with the Head of Accounting - Establish robust operational controls, including disciplined change management and a comprehensive financial data governance framework (definitions, quality, single source of truth, access governance) - Lead data and automation projects beyond Pigment to improve Finance team performance, including self-service analytics, reconciliation automation, and variance analysis - Drive the deployment of AI agents to replace manual processes and enhance the Finance team's operational efficiency - Scope and contribute to building priority Finance dashboards (Looker, Tableau, Power BI, or similar), ensuring metric consistency across Pigment, BI, and Finance reporting - Develop and maintain documentation, training materials, and user support processes to champion best practices across the Finance team - Mentor and grow a junior analyst or intern, progressively delegating Pigment, data, or reporting responsibilities PROFILE - 5–8 years of experience in Finance Data, FP&A, or Finance Systems roles, ideally in consulting or a tech scale-up environment - Hands-on experience with a Pigment rollout or run, or a similar EPM tool (Anaplan, Adaptive Insights, Hyperion, etc.) - strongly preferred - Demonstrated ability to internalize a tool previously managed by an external service provider, with a mandate to build internal autonomy quickly - Comfortable working with FP&A, Accounting, and Data/IT stakeholders alike - Some experience with SQL or Python and BI tools (Looker, Tableau, Power BI, or similar) - Genuine enthusiasm for applying AI to Finance, including no-code/low-code tools, agents, and LLMs - Ability to structure a data governance approach at the scale of a Finance function - Familiarity with accounting close processes is a plus - Prior mentoring experience (junior analyst, intern, or apprentice) is a plus - Fluent in both French and English BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

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. About the role As one of the founding Startup Account Executives in EMEA, you’ll pioneer the adoption of safe, frontier AI across the region by securing strategic deals with some of the fastest growing technology companies in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll build Anthropic's presence across EMEA's dynamic startup ecosystem, continuously refining our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. As an early member of our EMEA sales team, you'll help establish Anthropic's commercial foundation in the region while advancing the ethical development of AI technology. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases, collaborating cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs, providing insights that strengthen our value proposition and enhance the customer experience Help define our regional GTM operations and sales methodologies by incorporating learnings into playbooks, templates, and best practices You may be a good fit if you have: 5+ years of technical sales experience with a proven track record of driving adoption of emerging technologies with a consultative, solutions-oriented sales approach, preferably across EMEA markets Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed Exposure to negotiating complex, customized commercial agreements with multiple stakeholders Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: €155.000 — €205.000 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. 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: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE  As a direct Business & Operations partner to our Solutions team, including Deployment Strategists and Applied AI Engineers. You will work closely with Solutions leadership to build & scale the operating system that powers value & operational excellence across pre-sales and post-sales activities. You will translate our value vision into a scalable operating model by building automations, defining processes and ways of working, standing up KPIs and reporting, operationalising our internal ROI framework, feeding the feedback loop to capitalize on our successes, and embedding reusable value frameworks into customer engagements. This role is critical to turning our go-to-market strategy into repeatable, AI-native action, aligning delivery quality, output per FTE, and customer satisfaction to improve the efficiency and impact of our Solutions organisation and accelerate the value Mistral delivers to customers.   WHAT YOU WILL DO   Operating System & Automation - Build the secure-by-design operating system that links our tooling stack to the Solutions team’s needs, and design the internal tools & automations that raise output per FTE. - Streamline Deployment Strategist operations across pre-sales scoping and delivery, compounding shared knowledge, templates, and reusable IP. - Drive daily adoption of our AI layer throughout the Solutions team, productising internal work into reusable assets for the team. Value Intelligence & ROI - Operationalise the internal ROI framework per project / use case, defining and surfacing where we build value. - Define the reporting layer and metric catalog (what we collect and surface) and build the dashboards that turn our data foundation into decisions and proof of value. - Stand up the customer satisfaction measurement system (define, collect, surface) as a core input to value & operational excellence. Processes, Ways of Working & Cross-Functional Collaboration - Codify delivery playbooks, ways of working, and scaling programs end-to-end across the customer lifecycle - Partner with Revenue Growth, People Growth, RevOps, CSMs and Product & Engineering to align the operating system with company strategy and fuel the flywheel. - Ensure our operational processes are followed across geographies, embedding safety, security & compliance into our ways of working.   WHAT WE'RE LOOKING FOR - 4+ years of experience in strategic operations, business operations, or a chief-of-staff role within technical sales or solutions engineering. - Strong ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution. - Proven track record in optimising processes, impacting business KPIs, and aligning resources with business priorities. - Exceptional negotiation and diplomacy skills: ability to navigate complex stakeholder dynamics and align competing priorities. - Hands-on, execution-focused mindset with a bias for action in ambiguous, fast-changing environments. - Hands-on builder of internal tools and data workflows; comfortable turning manual processes into scalable systems. - Strong analytical skills to design ROI and value frameworks, build reporting, and translate data into operational decisions. - Technical acumen and AI fluency: understanding of AI implementation, use cases, and scaling challenges. - Native-level fluency in English; additional European languages are a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Berlin (Germany) Marketing Operations Manager - Join Our Innovative Team at thinkcell Software Our Story At thinkcell, we create powerful software solutions that help professionals be more efficient and productive. Founded in 2002 and based in Berlin, our tools integrate seamlessly with Microsoft Office to help users create presentations, charts, and diagrams with ease. Our dynamic, international team values creativity, collaboration, and technical excellence. What You Will Do We are seeking an experienced Marketing Operations Manager to join our Revenue Operations team as the dedicated Marketing Operations partner. In this role, you will work closely with Marketing leadership to design scalable processes, optimize campaign operations, and translate business strategy into operational execution. As part of the Revenue Operations team, you will serve as the dedicated Marketing Operations partner, working closely with Marketing leadership, GTM Systems, and other Revenue Operations functions to design scalable processes, optimize campaign operations, and ensure our marketing technology, data, and reporting support the company's continued growth. Key Responsibilities: Serve as the primary Revenue Operations partner for the Marketing organization. Participate early in planning for new marketing initiatives and campaigns. Identify risks, dependencies, and downstream impacts before execution. Own campaign operations governance, prioritization, and delivery oversight. Oversee campaign execution across email, webinars, forms, landing pages, and lifecycle programs. Ensure marketing campaigns comply with applicable privacy regulations, consent requirements, and email marketing best practices. Partner with Revenue Operations and GTM Systems to improve automation, lead management, and marketing processes. You will be great for this position if you have Bachelor's degree in Marketing, Business, Communications, or a related field. 5+ years of Marketing Operations experience. Experience partnering directly with Marketing leadership. Strong understanding of Salesforce Marketing Cloud, Salesforce Sales Cloud and marketing technology ecosystems. Experience with campaign operations, lifecycle marketing, and lead management. Strong project management and stakeholder management skills. Excellent analytical, communication, and problem-solving abilities. Ability to balance strategic thinking with operational execution. Preferred Qualifications Experience supporting global marketing organizations Experience with reporting and marketing analytics Knowledge of marketing compliance and data governance Experience leading process improvement or change management initiatives Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. We believe in a human hiring process, every application is personally reviewed. Why is thinkcell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 220 people, committed to innovation and excellence. thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!