Вакансии

Responsibilities: — Use advanced fraud detection tools and technologies to monitor user activity and identify suspicious behavior in real time. — Investigate fraudulent activity by analyzing patterns, trends, anomalies, and connections between individual or groups of operations. — Stay up to date with the latest fraud techniques, emerging threats, and evolving risk patterns. — Monitor and investigate bonus abuse across products and take action based on emerging trends and identified risks. — Simulate and describe algorithms and scenarios for detecting potentially risky operations and fraudulent behavior. — Work closely with Legal, Marketing, Finance, and other teams to share insights, investigate fraud-related issues, and implement effective solutions. — Provide guidance and training to employees on fraud prevention practices and emerging risks. — Lead investigations and coordinate response efforts in cases of suspected fraud, security breaches, or other critical incidents. — Prepare and present reports on fraud and risk metrics, emerging trends, incidents, and mitigation strategies to senior management. — Investigate incidents involving financial risks and identify their root causes and potential impact. — Develop and implement measures to mitigate the impact of fraud and financial risk incidents and prevent similar issues in the future. Requirements: — Degree in Economics, Finance, Analytics, Statistics, or a related field. — Previous experience in economics, analytics, statistics, or a similar analytical role. — Strong analytical skills with a methodical and logical approach to problem-solving and a high level of accuracy. — Confident user of Excel and Google Sheets. — Native-level Russian and English at B1+ level or higher. — Willingness to work shifts (09:00–17:00 or 17:00–01:00 GMT+3), including weekends when required. — Proactive and self-motivated approach to identifying issues, researching solutions, and implementing effective improvements. — Ability to communicate effectively with employees across different levels of the organization, including Senior Management. Benefits: — 5 paid health days per year for unforeseen sick days or medical appointments. — 25 paid calendar vacation days annually. — Comprehensive medical insurance coverage. — Monthly sports allowance of $30 net. — English lessons with two experienced tutors. — Access to conferences and professional literature. — Complimentary snacks in the office. — Corporate events throughout the year.

Задачи: — Разработка и развитие production LLM/AI-систем и AI-агентов. — Построение многошаговых agentic workflows: routing, tool calling, state management. — Работа с prompt- и context-engineering, управление памятью и состоянием диалога. — Реализация structured output и function/tool calling. — Создание RAG-пайплайнов: chunking, embeddings, retrieval, reranking. — Интеграция LLM с API, базами данных и внутренними сервисами. — Разработка backend на Go и AI-компонентов на Python. Требования: — Умение собирать LLM-систему целиком — от prompt/context logic и агентов до backend, интеграций и запуска в production. — Основной стек — Go для production-backend и высоконагруженной логики, Python для AI-инфраструктуры и прототипирования. — Опыт построения agentic workflows, управления состоянием диалога и памяти. — Понимание RAG, embeddings, retrieval и reranking. — Навыки тестирования и оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge. — Умение выбирать модели с учётом качества, latency и стоимости. — Анализ логов и трасс для повышения стабильности.

Задачи: — Разработка кластеризованного on-prem билда ClickHouse под собственную облачную инфраструктуру; — Внедрение, масштабирование, поддержка; — Развитие DB-related инфраструктуры DAP; — Автоматизация, интеграция инструментов ролевых моделей: ClickHouse, SF, PostgreSQL и др.; — Нейминг конвеншн и пользовательские ролевые модели баз данных; — Работа с MPP-стеком: Trino, Greenplum, Vertica, StarRocks. Требования: — Опыт в позициях DevOps / SRE / DataOps от 5 лет; — Опыт написания автоматизации и tooling, предпочтительно на Python и Go; — Опыт production troubleshooting и низкоуровневого тюнинга ОС на базе *nix, преимущественно в облаке; — Глубокое понимание распределённых систем, сетей, хранилищ и производительности; — Глубокое понимание основных концепций, технологий и инструментов кибербезопасности (cybersec/appsec); — Опыт работы с Karpenter; — Опыт оптимизации затрат в AWS (Kubecost, Infracost, AWS теги и др.); — Опыт работы с termination трафиком, ingress и балансировщиками (Traefik, Istio, Nginx + сертификаты); — Опыт с Authentik или аналогами Keycloak/OKTA (управление идентификацией); — Опыт с VPN решениями (Pritunl {OpenVPN, WireGuard}, Fortinet и аналоги); — Желательно глубокое понимание хотя бы одной аналитической базы данных / MPP / распределённого движка запросов: ClickHouse, StarRocks, Trino, Greenplum, Doris, DuckDB, Vertica. Условия: — Рабочее место по выбору: офис в бизнес-центре класса «А» в Белграде (Сербия) или удалённая работа; — Гибкое начало рабочего дня с 9:00 до 11:00, 9-часовой рабочий день с часом на обед; — Частичная компенсация занятий в фитнес-зале и курсов английского, доступ к корпоративной библиотеке и консультации с психологом; — Поддержка при релокации: релокационный пакет в Белград; — Корпоративные мероприятия, выезды на природу, тимбилдинги и мастер-классы; — Качественный профессиональный опыт, развитие навыков и комфортная рабочая атмосфера.

Location: Belgrade; Lisbon Workplace: OnSite Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We're looking for a Senior Frontend Engineer to join our payments team and help build and evolve our Checkout experience. Checkout is the final step in a mobile game purchase — the interface where players around the world complete payments every day. It operates across 200+ countries and supports 130 currencies, 25 languages, and 100+ payment methods. Its performance, reliability, and UX directly impact payment success rates, conversion, and revenue. KEY RESPONSIBILITIES - Build and improve Checkout: add new payment flows, payment methods, and third-party SDK integrations. - Build a fast, simple, mobile-first interface that works well across browsers, WebViews, and in-app browsers, including on low-end devices and slow networks. - Improve Checkout performance and stability by finding bottlenecks and fixing issues in key user flows. - Use product data and experiments to find friction in the Checkout funnel, test ideas, and improve conversion. - Investigate production issues using logs, traces, product events, and metrics, and work with APIs and backend services when needed. - Take part in technical decisions and code reviews and help maintain frontend code quality. REQUIRED QUALIFICATIONS - 5+ years of professional frontend development experience with strong TypeScript and React skills. - Strong understanding of browsers, networking, and mobile web. - Experience improving web performance, including FCP, LCP, profiling, bundle size, and resource loading. - Experience building payment or other transactional flows, such as checkout, subscriptions, wallets, or payment SDK integrations. - Strong debugging skills and ability to investigate problems beyond the frontend layer. - Ability to own your work from implementation and release to stable operation in production. PREFERRED QUALIFICATIONS - Experience in fintech, payments, e-commerce, gaming, or other consumer products with a large mobile audience. - Understanding of payment concepts such as 3DS, payment statuses, saved payment methods, declines, and refunds. - Understanding of frontend security, including CSP, iframe security, and PCI scope. - Ability to read Go or Python and understand backend logic and APIs. - Experience using AI tools in day-to-day development. WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: Austin, TX; New York, NY Workplace: Hybrid 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Apono is now part of 1Password https://1password.com/. Together, we’re shaping the future of identity security for humans, machines, and AI agents. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. We deliver just-in-time, just-enough access governance, unleashing productivity without compromising security. If you’re excited to work alongside a team of curious, driven individuals and solve hard problems at scale, come join us and help build a safer, simpler digital future for everyone. Join a small, growing Business Development Representative (BDR) team supporting Account Executives (AEs) who work with small and midsize businesses across the United States. You’ll help create new business opportunities through thoughtful prospecting, qualify potential customers, and build the skills needed for a successful career in Go-To-Market (GTM) sales. Your work will help organizations protect access to their cloud environments through 1Password’s security solutions. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. Expectations of this role This is a hybrid role. You will be expected to work from 1Password's Austin or New York office 3 days per week, with the flexibility to work from the office up to 5 days based on business needs. What we're looking for: You do not need prior sales experience to be successful in this role. We value transferable experience, coachability, and a willingness to learn. - Communicate clearly and professionally in phone, email, and written conversations. - Demonstrate strong prospecting and cold-calling skills, with the ability to engage new contacts respectfully. - Show resilience, organization, and consistency in a high-volume outbound environment. - Respond openly to coaching and apply feedback to improve performance. - Manage multiple prospect interactions while maintaining accurate and organized records. Preferred - Experience in Business Development Representative, Sales Development Representative, customer service, teaching, retail, hospitality, military, athletics, or another customer-facing environment. - Familiarity with Software as a Service (SaaS), cloud security, Customer Relationship Management (CRM) systems, sales engagement platforms, or prospecting tools. What you can expect: - Execute outbound prospecting through phone calls, email, LinkedIn, and other channels. - Use artificial intelligence (AI)-driven sales tools and modern prospecting platforms to work efficiently and engage prospects thoughtfully. - Qualify inbound and outbound leads against defined criteria and build a sustainable pipeline. - Schedule qualified meetings and provide focused day-to-day support to Account Executives. - Maintain accurate records of prospect activity and follow-up in the CRM. - Represent the company at industry events and trade shows when relevant. - Collaborate with Sales and Marketing partners while participating in ongoing coaching, training, and enablement. USA-based roles only: The annual base salary for this role is between $60,000 USD and $75,000 USD, and is commission-eligible. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: London, UK Workplace: Hybrid 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Apono is now part of 1Password https://1password.com/. Together, we’re shaping the future of identity security for humans, machines, and AI agents. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. We deliver just-in-time, just-enough access governance, unleashing productivity without compromising security. If you’re excited to work alongside a team of curious, driven individuals and solve hard problems at scale, come join us and help build a safer, simpler digital future for everyone. Join a small, growing Business Development Representative (BDR) team supporting Account Executives (AEs) who work with small and midsize businesses across the UK/EMEA. You’ll help create new business opportunities through thoughtful prospecting, qualify potential customers, and build the skills needed for a successful career in Go-To-Market (GTM) sales. Your work will help organizations protect access to their cloud environments through 1Password’s security solutions. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. Expectations of this role This is a hybrid role. You will be expected to work from 1Password's London office 3 days per week, with the flexibility to work from the office up to 5 days based on business needs. What we're looking for: You do not need prior sales experience to be successful in this role. We value transferable experience, coachability, and a willingness to learn. - Communicate clearly and professionally in phone, email, and written conversations. - Demonstrate strong prospecting and cold-calling skills, with the ability to engage new contacts respectfully. - Show resilience, organization, and consistency in a high-volume outbound environment. - Respond openly to coaching and apply feedback to improve performance. - Manage multiple prospect interactions while maintaining accurate and organized records. Preferred - Experience in Business Development Representative, Sales Development Representative, customer service, teaching, retail, hospitality, military, athletics, or another customer-facing environment. - Familiarity with Software as a Service (SaaS), cloud security, Customer Relationship Management (CRM) systems, sales engagement platforms, or prospecting tools. What you can expect: - Execute outbound prospecting through phone calls, email, LinkedIn, and other channels. - Use artificial intelligence (AI)-driven sales tools and modern prospecting platforms to work efficiently and engage prospects thoughtfully. - Qualify inbound and outbound leads against defined criteria and build a sustainable pipeline. - Schedule qualified meetings and provide focused day-to-day support to Account Executives. - Maintain accurate records of prospect activity and follow-up in the CRM. - Represent the company at industry events and trade shows when relevant. - Collaborate with Sales and Marketing partners while participating in ongoing coaching, training, and enablement. UK-based roles only: The annual base salary for this role is between £35,000 GBP and £49,000 GBP, plus immediate participation in 1Password's benefits program (health, dental, pension, and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Belgrade; Lisbon Workplace: OnSite Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We’re looking for a hands-on DevSecOps Engineer to build security into our cloud infrastructure and delivery pipelines. You’ll work closely with DevOps and development teams to establish practical security standards as our platform grows. KEY RESPONSIBILITIES - Own cloud security on GCP: IAM, org policies, network security, and edge protection with Cloudflare. - Harden our GKE clusters and container supply chain. - Build automated security checks into CI/CD (SAST, dependency, container, and IaC scanning). - Own secrets management and least-privilege access across the platform. - Drive vulnerability and cloud posture management to remediation. - Build security monitoring and lead incident response. - Actively drive SOC 2 Type 2 and PCI DSS Level 1 work: implement controls, prepare evidence. REQUIRED QUALIFICATIONS - 5+ years in DevSecOps, cloud security, or a security-heavy DevOps/Platform role. - Strong production experience with GCP (AWS/Azure acceptable). - Hands-on experience securing Kubernetes and Terraform-managed infrastructure. - Practical knowledge of CI/CD security, cloud IAM, secrets, vulnerability management, and security monitoring. - Ability to build security practices from scratch and get teams to adopt them. - Strong English communication skills. NICE TO HAVE - Experience with Cloudflare, Datadog, Wiz, Drata, or GitHub Actions. - Prior SOC 2 or PCI DSS audit experience. - Background in payments, gaming, or high-load products. WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: Paris Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. 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 organisation 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. As Voodoo continues to grow, we are transforming the way Finance uses data and technology. Our ambition is to move from fragmented, spreadsheet-heavy workflows to a modern, reliable, and increasingly automated Finance data platform.   ROLE We're looking for a Finance Data Engineer to join our Corporate team. In this role, you'll own the technical transformation of Finance by building the data foundations, pipelines, and internal tools that enable Finance teams to operate more efficiently and make better decisions. Reporting to the CFO, you will work closely with Finance stakeholders and Voodoo's central Data team, combining data engineering, business understanding, and product thinking to turn complex Finance needs into reliable and maintainable solutions. - Define and drive the roadmap for Finance data, automation, and internal tooling - Build and progressively scale Voodoo's Finance data platform, prioritising the use cases that create the greatest business value - Migrate critical data transformations and workflows from spreadsheets and legacy tools to tested, documented, code-based solutions - Create reliable data models and pipelines for Finance reporting, analysis, forecasting, and operational processes - Establish strong standards for data quality, observability, documentation, security, and access management - Partner closely with Accounting, FP&A, Controlling, Treasury, and other Finance stakeholders to translate their needs into scalable technical solutions - Collaborate regularly with Voodoo's Data leadership and engineering teams to align on architecture, tooling, and best practices - Build intuitive dashboards and internal applications that allow Finance teams to explore data and manage workflows independently - Identify AI and automation opportunities, take them from prototype to production, and measure the value they create - Help Finance teams adopt data and AI tools effectively through documentation, training, and day-to-day support   PROFILE - Significant experience in data engineering, analytics engineering, or a closely related role, including ownership of production-grade data solutions - Proven track record of building or substantially improving a modern data platform or analytics stack - Highly proficient in SQL and comfortable building production systems in Python - Strong software-engineering practices applied to data work: testing, version control, code review, documentation, and monitoring - Solid understanding of core corporate Finance and accounting concepts; familiarity with French accounting principles is a strong advantage - Ability to translate ambiguous business needs into clear, pragmatic technical solutions - Comfortable working autonomously, prioritising competing needs, and delivering value incrementally - Strong communication skills with both technical and non-technical stakeholders, in French and English - Curious about the evolving data and AI ecosystem — you test new approaches on real problems and form your own point of view - Rigorous, detail-oriented, and focused on measurable outcomes; pragmatic in technology choices, knowing when to build, adopt open-source, or buy commercial solutions Nice to have: - Experience building tools or data products for Finance teams - Experience deploying AI agents or AI-enabled workflows into production - Familiarity with the mobile gaming, consumer apps, advertising, or digital analytics ecosystem - Experience operating data infrastructure on AWS   OUR STACK - Cloud: AWS - Languages: Python, SQL, Scala - Transformation & orchestration: dbt, Airflow, Spark - Query engines: Athena, StarRocks - Infrastructure: Terraform, Kubernetes - Internal applications: Streamlit - AI-assisted development: Claude Code, MCP-based internal tooling   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: Yerevan, Armenia Problem Space Logistics operations today are still largely: manual reactive fragmented across tools running on incomplete or late data full of conflicting constraints under real-time decision pressure driven by evolving business rules a mix of legacy and new systems Much of this is unstructured: emails, documents, free-text updates, exceptions nobody modelled. That is where AI changes the game. We’re building a system that: ingests real-time operational data, structured and unstructured supports planning and execution decisions, with AI agents that act where it’s safe and hand over to humans where it isn’t adapts to constantly changing constraints What You’ll Work On AI in production. Building LLM- and agent-powered features into production .NET services: tool calling, structured outputs, retrieval over operational data, document and message understanding. The seams. Designing the boundaries between deterministic business logic and probabilistic AI: validation, fallbacks, human-in-the-loop. Trust. Making AI measurable and trustworthy: evals, test sets, observability, guardrails and cost/latency budgets. Ownership. Owning features end to end, from problem framing with product to running them in production. Design Principles keep things simple before scalable prefer explicit logic over magic abstractions, and that includes AI: deterministic where you can, model where you must optimize for change, not perfection (models, prompts and providers will change) measure AI behaviour, don’t trust vibes avoid “framework-driven architecture” accept that some parts will be ugly, temporarily Tech Stack .NET · Vue.js · service-oriented architecture · relational + operational data storage · cloud-based infrastructure · LLM APIs and agent tooling (e.g. Semantic Kernel / Microsoft.Extensions.AI, MCP) · vector/semantic search · eval and tracing tools How We Build AI-native development is the default. You use coding agents (e.g. Claude Code, Copilot) every day. You own what you ship, whoever typed it: you review AI-generated code critically, test it and understand it. What We Expect Strong, senior-level .NET engineering Ability to navigate uncertainty and work in ambiguity Willingness to challenge decisions Focus on outcomes, not just code Understanding of trade-offs and complex systems, including when not to use AI Preferring ownership over comfort Strong Plus Having shipped LLM/AI features to production and kept them running Experience with evals, prompt/version management or AI observability Python for prototyping and data work Logistics or other real-time operations domain experience What You Won’t Find Here over-engineering everything upfront unnecessary microservices “clean architecture” for the sake of it process-heavy development AI demos that never reach production wrapping a chatbot around a problem and calling it solved

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. About this role Our website is one of the most important ways people discover what we offer, understand our value, and decide whether to talk to Sales or start a trial. The Web Growth team owns its roadmap and continuously improves the journey from first impression through to lead capture, demo engagement, signup, and trial start. You’ll treat the website like a product: understand user intent, find confusion and friction, form strong hypotheses, test them with users and data, and turn what you learn into better experiences. You’ll be just as comfortable shaping the problem and influencing the roadmap as you are designing the final interaction, prototype, or page. What you’ll be doing Experimentation: Designing and iterating on experiments across landing pages, pricing, signup, and conversion flows to improve engagement, conversion, qualified leads, and trial starts. Collaboration: Working with Growth, Self-serve, Brand, Marketing, Product, Data, Research, and Engineering to turn opportunities into clear, buildable experiences. Data and insight: Using user insights and funnel data to identify opportunities, define hypotheses, and measure impact. Product design: Applying product design thinking to comprehension, navigation, forms, interactive demos, responsiveness, and accessibility. Prototyping and systems: Prototyping in Figma and code, using AI tools where useful, and working within shared components and brand systems. Roadmap ownership: Bringing ideas to the Web Growth roadmap, not just executing briefs. Must have experience Experience: 5+ years in web, product, growth, or a closely related design role, with a strong portfolio of shipped, conversion-focused work. Growth mindset: A track record of using design, growth frameworks, conversion rate optimisation, and funnel analysis to improve outcomes such as leads, conversion, trials, activation, or revenue. Experimentation: Experience designing and iterating on experiments, including A/B tests or other data-informed approaches. B2B SaaS experience is a plus. Craft and taste: Excellent visual and interaction design skills, with a sharp eye for typography, hierarchy, detail, and polish. Systems and brand: Comfortable working within an existing design system and brand, while identifying opportunities to extend and improve it. AI fluency: Experience using AI in your design practice, including tools such as Claude Code, Cursor, Codex, Figma Make, or similar. You should be able to explain how AI has changed your workflow and what you have built or shipped with it. Ownership: Able to take a brief and run with it. You work independently, make good decisions, ask the right questions, and bring solutions rather than just options. Who this role is not for This role is not for you if: You only want to design campaign or marketing pages from a fixed brief. This role owns the journey from first visit through to lead, demo, signup, or trial. You care about visual polish but not about comprehension, navigation, forms, interactive demos, or reducing friction. You don’t want to work with funnel data, user research, experimentation, or the realities of implementation. You want to focus on brand expression without balancing it with usability, accessibility, performance, and measurable growth. You need a fixed roadmap and detailed requirements rather than identifying opportunities and shaping what the team should test next. You’re not interested in working closely with Growth, Marketing, Product, Data, Research, and Engineering to make the website perform better. What success looks like You’ll know you’re successful if: More visitors understand Fin and Intercom, find the right path for their needs, and take the next step with less friction. You’ve improved meaningful growth outcomes across qualified leads, demo engagement, signups, and trial starts. Experiments are well designed, clearly measured, and used to inform what the team does next. You’ve made complex product value easier to understand and act on without relying on extra explanation from Sales or Marketing. You’ve built strong working relationships with Growth, Marketing, Product, Engineering, Data, Research, Sales, and Customer Success. You’ve raised the bar for web growth design through thoughtful, high-quality experiences that people trust and want to use. Interview process We understand that interviewing for a new role is both time- and energy-consuming. We aim to be thorough, speedy, and transparent in our approach. You should expect the entire process to take no more than four weeks from start to finish. You’ll meet with members of our team and have the opportunity to validate that Intercom and the role are the right fit for you. Ready to build something great? If you’re excited by the opportunity to help existing businesses get more value from a self-serve product, and you have the craft, curiosity, commercial thinking, and autonomy to make a real impact, we’d love to hear from you. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Yerevan, Armenia Role Purpose The AI Product Stream Lead defines and delivers AI-powered supply chain solutions that solve real customer and operations problems on the Cargoo platform. You own a product stream end to end, from framing where AI creates value (automation, decision support, agents) to shipping it and proving it works in production. You lead a cross-functional team, balancing customer value, technical and data feasibility, AI quality and cost, business priorities and delivery timelines. You also help set how Cargoo builds product in an AI-native way. Key Responsibilities AI Product Vision & Strategy Shape the stream’s product vision and strategy with stakeholders, in line with Cargoo’s AI strategy and customer needs. Identify and prioritize AI opportunities across freight operations (e.g. exception handling, quoting, document processing, planning and execution support) by value, feasibility and risk. Decide where AI should automate, where it should assist, and where a human must stay in control. Own product decisions, balancing customer value, technical feasibility, AI quality, cost, business priorities and delivery timelines. Leadership & Delivery Lead the development team through the whole product lifecycle, from discovery to rollout and adoption. Decide scope, schedule and quality, including when an AI feature is good enough to ship and when it needs another iteration. Run fast discovery loops: prototype with AI tools, validate with real users and data, then commit. Make sure the team meets internal policies, data protection rules and responsible-AI standards (incl. EU AI Act awareness). Product Management & Requirements Create clear Use Cases, Requirements and Business Rules. For AI features, add expected behaviour, edge cases, failure modes and escalation paths. Define success and evaluation criteria for AI features with engineering: accuracy, latency, cost per task and acceptable error rates, backed by representative test sets. Write User Stories and Acceptance Criteria that cover both deterministic logic and probabilistic AI behaviour. Work with engineering and data owners on data readiness: which data we need, its quality, and who owns it. Own and continuously refine the Product Backlog so the team always works on the highest-value opportunities. Track adoption and impact after release (time saved, automation rate, user trust) and feed the learning back into the roadmap. AI-Native Ways of Working Use AI tools every day for research, specs, prototyping, data analysis and feedback synthesis. Help the team and wider product org adopt AI-assisted delivery practices. Candidate Profile Education & Experience 5+ years managing software development projects, strongly preferably as a Product Owner. Proven managerial skills: team leadership, decision-making and conflict resolution. Degree or diploma in Information Technology, Informatics or a related field. Technical Skills (Must Have) Deep understanding of Agile values, principles and frameworks (Scrum, Kanban, Lean) and the ability to apply them well. Strong analytical skills, comfortable working with data to make product decisions. Solid working understanding of how LLMs and AI agents work, what they are good at, and where they fail (hallucinations, non-determinism, cost, latency). Hands-on, daily use of AI tools in your own work. Fluent English, written and spoken. Strong Plus Having shipped at least one AI/ML or LLM-based feature to production. Experience defining evaluation criteria or test sets for AI features. Logistics background or experience with logistics solutions. Experience with data products, workflow automation or decision-support systems. Behavioral Traits Excellent communication with technical and non-technical audiences, including customers, executives, managers and subject matter experts. Able to explain AI trade-offs in plain language. Strong leadership and decision-making, able to guide teams and resolve conflicts. Analytical, structured and value-driven in prioritization. Evidence over hype. Curious and fast-learning, comfortable with ambiguity and quick iteration.

Location: New York Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. 👀  What are we looking for?    Education and Experience: Bachelor’s degree in Finance, Accounting, or a related field; MBA or CPA preferred. Minimum of 7 years of progressive experience in finance, with at least 3 years in a leadership role. Proven experience in the technology or blockchain industry is highly desirable.   Skills and Competencies: Strong knowledge of financial management, accounting principles, and financial regulations. Excellent analytical and problem-solving skills with a strategic mindset. Proficiency in financial software and tools, such as ERP systems, Excel, and financial modeling. Exceptional leadership and team management abilities. Strong communication and presentation skills, with the ability to convey complex financial information clearly. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science. 💥 What will you do? The Director of Finance at Merkle Science will be responsible for overseeing all financial operations, ensuring financial stability, and supporting strategic decision-making. This role involves managing the finance team, driving financial planning and analysis, and ensuring compliance with financial regulations. The ideal candidate will have a strong background in finance, excellent leadership skills, and a deep understanding of the technology and blockchain industry.   Responsibilities:  Financial Management: Oversee all financial operations and direct corporate financial planning and structure. Manage the preparation of financial reports, budgets, forecasts, and regulatory requirements. Ensure the accuracy and integrity of financial information and reporting. Develop and implement financial strategies to support the company's growth and profitability. Budgeting and Forecasting: Lead the budgeting process and quarterly forecasting updates. Monitor and analyze budget performance and implement corrective actions as necessary. Provide detailed financial analysis and modeling to support strategic initiatives.   Compliance and Strategic Planning: Ensure compliance with local, state, and federal financial regulations and standards. Develop and maintain policies and procedures to ensure financial governance. Partner with the executive team to develop and execute long-term financial strategies. Provide financial insights and recommendations to inform business decisions and strategies. Team Leadership and Stakeholder Communication Lead and mentor the finance team, fostering a culture of high performance and continuous improvement. Provide ongoing training and development opportunities for finance staff. Manage relationships with external auditors, investors, and financial institutions. Present financial reports and insights to the executive team, board of directors, and investors. Communicate financial performance and strategy to internal and external stakeholders.

Location: Limassol, Cyprus Workplace: onsite Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We're looking for a Sales Representative to grow our Microsoft Advertising business with advertisers and agencies across Central and Eastern Europe (CEE), with a focus on Cyprus-based clients. Many of your clients will be Russian-speaking. Most business communication is in English, with advertisers, with colleagues around the world and with the platforms. You won't work alone. The Client Solutions team and the Performance team support you, and together you work toward the best results for each client. You bring in the right advertisers; together, you make them successful. What you'll do Find, approach and sign advertisers, brands, performance agencies and media agencies in CEE, starting with Cyprus-based companies Understand each client's marketing goals and recommend Microsoft Advertising solutions that deliver measurable results Advise clients on campaign planning, digital media strategy and performance Collect product feedback from advertisers and agencies Negotiate agency deals and guide clients through contracts and account setup Research the market, follow competitors, and represent Aleph at industry events Forecast pipeline and revenue weekly, monthly and yearly, and keep the CRM up to date What you need for this role Proven experience in B2B sales or business development, ideally in digital advertising, ad tech or an agency. We care about your experience, not your degree. A good grasp of digital performance metrics. Search advertising experience is a strong plus. Knowledge of the Cyprus business community, or of CEE markets, is a strong advantage Confidence with complex relationships between clients and agencies Strong organization and the ability to handle several priorities at once Practical use of AI tools (for example Copilot, ChatGPT or Claude) to research prospects, prepare proposals and work faster Excellent Russian and English, spoken and written Readiness to work on-site in Limassol. Candidates willing to relocate are very welcome. What will make us really love you You're excited about digital marketing and sales, and it shows You take ownership, solve problems creatively, and never settle for "good enough" You combine drive to close deals with real relationship-building. Clients and colleagues enjoy working with you. You adapt quickly and do well in a fast-moving environment What you'll love about us Grow your career fast. You'll join a global company and work directly with one of the world's largest advertising platforms. Learn constantly. Our training includes Aleph's own programs and training specific to each platform, so your skills grow a lot. Be part of a real team. You'll have Client Solutions and Performance specialists behind every deal. Private health insurance Visa support if you relocate A great place to work. Our office is in Limassol's Old Town, a short walk from the sea. An international team that celebrates creativity, ambition and results In line with the EU Pay Transparency Directive, we are committed to fair and open pay. For this role, the minimum gross annual base salary is EUR 32,480.   On top of the base salary, the role includes a significant variable component based on performance, paid quarterly. The final offer will reflect your experience, skills and the scope of the role.  Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Limassol, Cyprus Workplace: onsite Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We're looking for a Business Development Manager to grow our Microsoft Advertising business with advertisers and agencies across Central and Eastern Europe (CEE), with a focus on Cyprus-based clients. Many of your clients will be Russian-speaking. Most business communication is in English, with advertisers, with colleagues around the world and with the platforms. You won't work alone. The Client Solutions team and the Performance team support you, and together you work toward the best results for each client. You bring in the right advertisers; together, you make them successful. What you'll do Find, approach and sign advertisers, brands, performance agencies and media agencies in CEE, starting with Cyprus-based companies Understand each client's marketing goals and recommend Microsoft Advertising solutions that deliver measurable results Advise clients on campaign planning, digital media strategy and performance Collect product feedback from advertisers and agencies Negotiate agency deals and guide clients through contracts and account setup Research the market, follow competitors, and represent Aleph at industry events Forecast pipeline and revenue weekly, monthly and yearly, and keep the CRM up to date What you need for this role Proven experience in B2B sales or business development, ideally in digital advertising, ad tech or an agency. We care about your experience, not your degree. A good grasp of digital performance metrics. Search advertising experience is a strong plus. Knowledge of the Cyprus business community, or of CEE markets, is a strong advantage Confidence with complex relationships between clients and agencies Strong organization and the ability to handle several priorities at once Practical use of AI tools (for example Copilot, ChatGPT or Claude) to research prospects, prepare proposals and work faster Excellent Russian and English, spoken and written Readiness to work on-site in Limassol. Candidates willing to relocate are very welcome. What will make us really love you You're excited about digital marketing and sales, and it shows You take ownership, solve problems creatively, and never settle for "good enough" You combine drive to close deals with real relationship-building. Clients and colleagues enjoy working with you. You adapt quickly and do well in a fast-moving environment What you'll love about us Grow your career fast. You'll join a global company and work directly with one of the world's largest advertising platforms. Learn constantly. Our training includes Aleph's own programs and training specific to each platform, so your skills grow a lot. Be part of a real team. You'll have Client Solutions and Performance specialists behind every deal. Private health insurance Visa support if you relocate A great place to work. Our office is in Limassol's Old Town, a short walk from the sea. An international team that celebrates creativity, ambition and results In line with the EU Pay Transparency Directive, we are committed to fair and open pay. For this role, the minimum gross annual base salary is EUR 32,480.   On top of the base salary, the role includes a significant variable component based on performance, paid quarterly. The final offer will reflect your experience, skills and the scope of the role.  Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

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 THIS ROLE MEANS AT HIGGSFIELD Most subscription businesses lose a password. We lose GPU-seconds. When someone runs two hundred accounts off one card to harvest a per-account promotional grant, the cost lands on our compute bill the same hour, and it does not stop until somebody finds them. We have found operators doing exactly that — hundreds of accounts, synchronised signups, machine- generated emails, round-the-clock automation — and we have also found that most of our worst- margin accounts are not abusers at all, just heavy users on an unlimited plan. Telling those two apart, account by account, with evidence that survives being challenged, is this job. You are the person who finds them, proves it, and puts a number on it. You make sure: - Every enforcement action we take is backed by evidence a stranger could follow - We know what abuse cost us last month, on the same basis as last month - The detection system is measured against real cases, not against its own past decisions - When a ring changes shape, somebody notices this week — and that somebody is you WHAT YOU WILL DO Investigation & casework - Run ring investigations end to end: from a flagged account or a cost anomaly to a named cluster, its members, its signature, its lifetime economics and a recommended action. - Build the linkage yourself — shared payment instruments, IP and ASN concentration, email-stem families, registration bursts, behavioural and automation fingerprints — and know which links are evidence and which are coincidence. - Separate abuse from unprofitable-but-legitimate every single time. On an unlimited plan, negative gross margin is normal. Cost is a gate, never a trigger. - Triage the review queue the detection system produces, and feed what you learn back into it. Your adjudications are the only unbiased labels the scientist has. Evidence & defensibility - Produce evidence packages that hold up outside the company — to an external auditor, to a payment network, to a customer disputing a ban, to Legal enforcing our Terms. Our abuse work has already been used in all four contexts. - Write per-account, not per-ring, when the action is per-account. A ban list without a reason column is not evidence. - Know what our Terms of Use actually entitle us to do, and flag when the evidence supports the finding but not the action. Quantification & reporting - Own the abuse loss number: what it cost, on what basis, net of the revenue we reversed and the legitimate customers we caught by mistake. Same definition every month, written down. - Distinguish COGS burned, revenue at risk, revenue reversed and cash refunded — they are four different numbers and people will conflate them. - Build the recurring reporting that tells us whether the problem is growing, and the ad-hoc answer to "why did compute spike last Tuesday" that is due the same day. Monitoring & adaptation - Watch the detectors themselves. A rule that stops firing is a detection event, not a quiet week. - Check the instrument before explaining the movement: a missing upstream table, a silently dropped join, a vendor signal that went away. This has bitten us and it will again. - Spot new abuse patterns before they are in anybody's model — usually in a cost anomaly, a strange cohort, or a support ticket that does not fit. How we work - SQL and Python on raw payment, usage and identity data in BigQuery, without anyone preparing it for you. We use AI heavily — resourcefulness beats syntax. - Close partnership with the Antifraud data scientist (you validate what they build), Payments (chargebacks and processor signals), Support (the humans who meet your false positives) and Finance (the loss number goes in the accounts). WHO WE'RE LOOKING FOR - 2+ years doing investigative or risk analytics — fraud, abuse, trust and safety, AML, chargebacks, gaming or marketplace integrity. What matters is that you have chased real bad actors, not modelled them in the abstract. - Strong SQL, without help. Self-joins, window functions, cohort replay, and joining payments to usage to identity across messy keys. This is the single most-used skill in the role. - Python at working level for analysis — pandas, notebooks, a bit of graph work. - Investigative instinct: you follow the thread, you notice the thing that does not fit, and you can say when a pattern is a coincidence. - Evidentiary discipline: you can write up a finding so that somebody who distrusts you can check it, and you know the difference between "this looks like abuse" and "this is provable." - Unit-economics literacy: gross margin per account, what compute costs, and why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk analysts from fintech, payments, marketplaces, gaming, crypto or betting - Trust & safety investigators and platform-integrity analysts - Chargeback, dispute or AML analysts who write their own queries - Strong product or BI analysts who got handed the abuse problem and kept it WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build models full time — that is the Antifraud data scientist, and it is open - Want to do content moderation or NSFW classification - Would put an account on a ban list without being able to say why in one sentence - Treat every negative-margin account as an abuser - Need a labelled dataset or a clean table before you can start - Are uncomfortable that your work gets real people's accounts restricted, sometimes wrongly - 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) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth

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 THIS ROLE MEANS AT HIGGSFIELD Generative video has a problem most subscription businesses don't: every unit we sell costs us real compute. A stolen password costs a streaming service nothing. An account farm on an unlimited generation plan costs us GPU-seconds, at scale, every hour it runs. We have found organised operators running hundreds of accounts on a single card, reselling unlimited generations, and harvesting per-account promotional grants at industrial scale. We have also found that most of our negative-margin accounts are not abuse at all — they are ordinary heavy users on an unlimited plan, which is a pricing problem wearing a fraud costume. Telling those two populations apart, at account level, before the money is gone, is this job. You own the question of who is taking value they did not pay for, and the system that stops them. You make sure: - We catch abuse before the compute is burned, not in a post-mortem that reconciles the loss - Every enforcement action has a measured precision, a measured cost of being wrong, and a way back for the customer we got wrong - The difference between fraud and unprofitable pricing is a number we can defend, not a vibe - When operators adapt — and they will, within days — we find out from a monitor, not from the monthly margin review WHAT YOU WILL DO Detection & scoring - Own the account-abuse scoring system end to end: signals, weights, thresholds, the scoring job, the monitoring, and the recalibration when it decays. - Build detection that fires early. A rule that catches 88% of the money on day 11 is worth far less than one that catches 60% at checkout, and you should be able to say why in dollars. - Work the two halves that actually matter together: linkage (who is connected to whom) and economics (what are they consuming). Either one alone produces a system nobody can switch on — linkage without economics flags families sharing a card, economics without linkage flags our best customers. - Treat cost as a gate, not a label. On an unlimited plan, being gross-margin negative is normal. Entity resolution & ring detection - Find rings, not just accounts: shared payment instruments, IP and ASN concentration, email-stem families, synchronised registration bursts, behavioural fingerprints, automation signatures. - Do it without a reliable device fingerprint — we do not have one today, and part of this job is telling us what it would be worth and what it would cost. - Know where graph methods break. Transitive closure through a shared card will happily merge thousands of unrelated people into one "ring"; we have done exactly that and thrown the result away. Enforcement, policy & the cost of being wrong - Design graduated, reversible actions — throttle, rate-limit, step-up verification, hold, pre-grant refusal, manual review queue, ban — and match the severity to the confidence. - Own the false-positive budget explicitly: how many paying customers are we willing to inconvenience to save a dollar of compute, and what is the appeal path for the ones we get wrong. - Build the pre-grant gates. The cheapest abuse to stop is the kind we decline to enable in the first place — a trial we do not grant costs nothing to claw back. - Partner with Payments on Stripe Radar, chargebacks and dispute economics; with Support on the queue your model creates; with Legal on what our Terms actually entitle us to do. Measurement & adversarial monitoring - Quantify what the system is worth in money — COGS avoided, net of the revenue you destroyed and the support cost you created. Keep that number current. - Run holdouts even on enforcement, wherever it is legal and safe to do so, because otherwise you will never know what your rules are worth. - Monitor for adaptation, not just drift. Model decay here is caused by an adversary, and it looks different: a signal stops firing, a ring changes shape, a cohort's behaviour shifts inside a week. - Watch your own inputs. A detection system that silently loses a feature degrades to a system that cannot reach its own threshold — and reports nothing wrong while doing it. Making it usable - Ship scores and reasons, never scores alone. An analyst, a support agent or an auditor must be able to read why an account was actioned. - Produce evidence that survives outside the company. Our abuse work has already been used in an external audit and in Terms-of-Use enforcement; write for that standard. - Work in SQL, Python and BigQuery on raw event, payment and generation data. We use AI heavily — resourcefulness beats syntax. WHO WE'RE LOOKING FOR - Experience building abuse, fraud or trust-and-safety detection that actually took action on real users — payments fraud, promo abuse, multi-accounting, bonus abuse, account takeover, marketplace or gaming abuse. Anti-money-laundering and credit-risk backgrounds transfer if the modelling was yours. - Genuine understanding of the adversarial setting: that your counterparty responds, that your training labels are generated by your own past decisions, and that offline AUC on a censored label set is close to meaningless. - Strong SQL and Python on raw event data without help: joins across payments, usage and identity, window functions, cohort replay. Gradient boosting, and the judgment to know when a two-condition rule beats a model. - Comfort with graph and linkage thinking — connected components, shared-attribute clustering, and an instinct for when a link is evidence and when it is coincidence. - Precision-first evaluation instincts: precision at the operating point, cost-weighted error, and why you would take 20% recall at 90% precision over the reverse in an enforcement system. - Unit-economics literacy: gross margin per account, what compute actually costs us, why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk data scientists from fintech, payments, marketplaces, gaming or crypto - Trust & safety and platform-integrity teams who owned detection and enforcement policy - Growth or product data scientists who ended up owning promo-abuse because nobody else would - Analysts from payment processors, PSPs or chargeback/dispute operations who moved into modelling WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build content-moderation or NSFW classification — that is a different function here - Would ship a ban list without knowing its precision - Optimize AUC on a label set your own enforcement created, and call it validated - Need a labelled fraud dataset to exist before you can start - Treat every negative-margin account as an abuser - Are uncomfortable that being right 90% of the time means being wrong about real, paying, legitimate people — and that you own what happens to them - 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) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll sit in the Trading OS team, reporting to the Director of OTA Platform. You’ll work closely with lead engineers, Revenue Management, and commercial leaders to define and deliver the long-term product vision for Trading OS, creating shared data, tools, and capabilities that power pricing, packaging, promotions, and availability across markets. Together, the team will focus on enabling commercial and AI teams to configure, test, and automate commercial changes safely and quickly at scale, reducing dependency on engineering and enhancing decision-making. Trading OS sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers. Your day-to-day: - Partner with engineering, Revenue Management, and commercial leaders to define the Trading OS roadmap, outcomes, metrics, and investment priorities. - Build flexible tools, APIs, and data models that enable commercial teams to configure, test, and roll out pricing, packaging, and availability changes. - Work closely with Engineering on technical design, service boundaries, data contracts, and scalable architecture for AI-assisted decisioning. - Improve the quality, reliability, and visibility of commercial data to enable faster, engineering-independent commercial changes. - Use data and controlled experimentation to measure operator efficiency, engineering effort avoided, platform adoption, and commercial impact. - Drive platform adoption by establishing clear documentation, onboarding, and feedback loops for internal product and commercial consumers. Your skillset: - Proven record of platform product leadership owning technical, API-heavy, data-rich, or internal platform products used by multiple teams. - Systems thinking ability to model complex dependencies across data, services, and workflows into stable, composable capabilities. - Strong technical fluency across APIs, data models, distributed systems, configuration engines, and observability to collaborate credibly with engineering. - Commercial judgement with the ability to connect platform strategy to margin, trading objectives, and customer value. - Expertise in data and experimentation, comfortable defining metrics, designing controlled tests, and using data to guide decisions. - Outstanding execution and communication skills to navigate ambiguity, balance platform health with delivery, and align technical and non-technical stakeholders. The interview journey: - Talent acquisition screening - 30 minutes - First stage with the hiring manager - 45 minutes - Final stage with key stakeholders, including a platform case to present - 1 hour - Behavioural and culture conversation with VP of Product - 45 minutes Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

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 THIS ROLE MEANS AT HIGGSFIELD We sell subscriptions and credit packs to consumers in over a hundred countries, and today almost all of it moves as cross-border card payments in USD. That has three consequences, and this role owns all three. We are declined more than we should be. In some of our largest growth markets roughly one attempt in three fails, and a meaningful share of those are not "no money" — they are cross-border blocks, card limits, stale credentials on renewal, and issuers who do not recognise us. We pay more than we should. Our blended cost of acceptance is the single largest line below compute, and the majority of the network component sits on transactions our processor classes as cross-border. We are not on the rails our customers use. In two of our fastest-growing markets, the dominant local payment method is one we do not offer at all. You own the measurement and the argument behind fixing all of it. You make sure: - We know our true authorization rate — at the unit the business actually cares about, not the one that is easy to compute - Every basis point of payment cost has a name, a geography and an owner - A decline is a diagnosis, not a statistic - When we propose a new rail, a new entity or a new processor arrangement, the number underneath it holds up to Stripe's own analysis and to our board's WHAT YOU WILL DO Authorization & decline analysis - Own authorization rate end to end: by country, issuer, BIN, card brand and funding type, plan price point, first payment vs renewal, and payment method. - Build and maintain the decline taxonomy — what each decline code actually means, which are recoverable, which are terminal, and which are us rather than them. - Measure at the right unit. An invoice that succeeds on the third retry is a success, not two failures and a success, and reporting it the other way has made teams optimise the wrong thing. - Separate soft declines we can recover from hard declines we cannot, and put a number on the recoverable pool. Cost of acceptance - Own the blended take rate and its decomposition: interchange, scheme fees, processor markup, cross-border and currency-conversion components, disputes, and the fixed per-transaction pieces. - Find where the cost actually sits. Averages hide it — the cost is concentrated by corridor, by card type and by whether the transaction is domestic. - Build the evidence for commercial conversations with our processor, and keep it current enough to reuse. Local payment methods, entities and routing - Size the case for new rails market by market: what share of local commerce runs on them, what our current card performance costs us, and what we would realistically recover. - Model merchant-of-record and local-acquiring arrangements against the alternative of our own entities, honestly — including the fee we would pay for the privilege. - Design and read the experiments that prove it, with the product analytics team. A new payment method is an A/B test, not a launch. Renewals, dunning and involuntary churn - Own the retry and dunning strategy as a measurable system: when to retry, how often, through which rail, and when to stop. - Quantify involuntary churn separately from voluntary. They look identical in a cancellation count and they need completely different fixes. - Track the health of stored credentials — network tokens, card-account-updater coverage, expiring cards — because in a subscription business that is silent revenue leakage. Disputes, refunds and reconciliation - Own dispute and chargeback rates against network thresholds, with the lag handled properly — disputes arrive weeks after the charge and a same-period denominator understates you. - Reconcile processor data to the revenue ledger and explain the differences rather than plugging them. - Work with the antifraud team where disputes are abuse rather than genuine dissatisfaction. HOW WE WORK - SQL and Python on raw processor and billing data in BigQuery. We use AI heavily — resourcefulness beats syntax. - Partner with Finance (the numbers get booked), Product (checkout and paywall), Engineering (the billing integration) and our processor's team directly. WHO WE'RE LOOKING FOR - 2+ years in payments analytics, payment operations, billing, or risk at a merchant, PSP, acquirer, or fintech. This is a domain role — general analytics experience without payments does not transfer quickly enough. - Fluency in the actual mechanics: authorization vs capture vs settlement, decline codes, 3DS and SCA, network tokens and account updater, interchange and scheme fees, chargeback lifecycle, MCC, BIN, cross-border and DCC. - Strong SQL, without help. Most of this job is joining sessions to intents to charges to invoices to refunds across imperfect keys and getting the denominator right. - Python at working level for analysis. - The instinct to check the unit of measurement before quoting a rate — per attempt, per invoice, per user, per session are four different numbers and only one of them answers the question. - Comfort with subscription billing specifically: renewals, proration, plan changes, failed payments, dunning, involuntary churn. - Commercial judgment: you can build the case for a rail or a rate and defend it against a vendor who does this for a living. - Clear written and spoken English, B2+. Backgrounds that often do well: - Payment operations or payments analytics at a consumer subscription, marketplace or gaming company - Analysts from PSPs, acquirers, orchestration platforms or card networks - Billing / revenue operations analysts who owned dunning and involuntary churn - Risk or chargeback analysts who moved toward the acceptance side WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to own checkout UX or pricing — that is Product Analyst, and it is open - Want to build fraud models — that is the Antifraud data scientist, and it is open - Would report an authorization rate without saying what the denominator was - Would take a processor's own analysis of their own performance at face value - Need someone else to prepare the data - 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) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth