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Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Role Summary: As a Customer Support Specialist, you’ll be on the front lines of customer interaction, playing a vital role in delivering exceptional service and resolving inquiries efficiently and empathetically. In this role, you will gain hands-on experience within the fast paced, ever evolving mobile app ecosystem and have the opportunity to engage directly with executives and team members from high growth companies. You’ll also collaborate across departments, working closely with product, engineering, and operations teams to ensure a seamless customer experience and to provide feedback that helps shape the future of our platform. Fluency in French (written and spoken) to effectively support French-speaking clients and partners. Full time / London - Hybrid (2-3 days in office) - French Speaking Responsibilities: - Provide expert support to customers and the internal sales team by responding to queries in a timely and accurate manner. - Troubleshoot and resolve issues by gathering technical details, replicating problems, and using internal tools to identify root causes. - Collaborate with cross functional teams to escalate complex issues, log bugs, and clearly communicate technical solutions to users of varying technical backgrounds. - Provide high priority support and platform overviews on an ad hoc basis to a designated group of strategic accounts. - Act as a bridge between internal teams, sharing relevant customer feedback to improve the platform. - Identify gaps in resources based on common customer pain points. - Educate users on new updates, tools, and best practices to tailor to their use cases - Report on key customer service metrics and identify noteworthy trends to the Team Director. Qualifications: - At least 4-5 years of experience in a data analysis customer facing role (customer service, care, or success). - Fluency in French/English - Background in mobile analytics, consumer behavior, or digital advertising strongly preferred. - Passionate about providing exceptional customer experience. - Strong attention to detail and ability to manage multiple tickets or issues at once. - Comfortable working with and supporting global brands across diverse markets. - Genuine interest in building and growing a career within customer support. - Technical experience in initial troubleshooting of front end bug/network issues. - Ability to read and interpret data visualizations or logs to guide troubleshooting. - Experience working cross functionally with Product, Engineering, or Data teams. - Proactive in spotting recurring issues and patterns in customer inquiries. Nice to have: - Hands-on experience with platforms such as Zendesk, Mailgun, Kibana, and Salesforce. - Knowledge in assisting global users with API questions, data import/export execution, and platform integrations. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Задачи: — самостоятельно находить клиентов на разработку и IT-консалтинг; — находить потенциального клиента и помогать довести его до конкретного запроса; — передавать техническую часть автору услуг, который общается с клиентом, оценивает задачу, предлагает решение и стоимость, выполняет работу и отвечает за результат. Требования: — умение находить клиентов и продавать услуги; — опыт в B2B-продажах, IT-продажах, лидогенерации, работе с предпринимателями и компаниями, продаже разработки и digital-услуг; — желательно иметь собственную клиентскую базу или опыт продаж IT-услуг. Условия: — формат работы полностью удалённый; — фиксированной оплаты нет, оплата только в виде 20% от фактически оплаченных заказов; — комиссия выплачивается после получения оплаты от клиента; — повторные заказы от привлечённого клиента также учитываются в партнёрской модели (условия обсуждаются отдельно); — не требуется разбираться в Python или архитектуре, главное — находить бизнес-задачи и заинтересованных клиентов; — предоставляется сайт с описанием услуг, информация о техническом опыте, возможность быстро получить техническую оценку проекта, помощь с подготовкой предложения клиенту и возможность подключить технического специалиста к разговору. Примеры услуг: — разработка backend на Python с использованием FastAPI и Django; — разработка API и интеграций; — автоматизация бизнес-процессов; — создание Telegram-ботов и веб-приложений; — доработка существующих проектов; — микросервисная архитектура; — базы данных и backend-инфраструктура; — интеграция AI/LLM в существующие продукты, включая RAG и AI-агентов; — технический аудит и консультации. Где искать клиентов: — биржи фриланса (например, FL.ru), Avito, Telegram, профильные и предпринимательские сообщества, прямой поиск компаний, партнёрства с агентствами и другими специалистами, собственная база контактов. Пример расчёта комиссии: — заказ 50 000 ₽ → комиссия 10 000 ₽; — заказ 100 000 ₽ → комиссия 20 000 ₽; — заказ 200 000 ₽ → комиссия 40 000 ₽; — заказ 500 000 ₽ → комиссия 100 000 ₽.

Location: Almaty, Kazakhstan Workplace: OnSite GTM CONTENT/COPYWRITER WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annualized revenue, 32M+ 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. ABOUT THE ROLE We're looking for a Copywriter to own the written voice of Higgsfield across B2B and brand channels. You'll write everything from sales decks and landing pages to LinkedIn posts, launch campaigns, and ad creative, turning product capabilities into sharp, persuasive messaging for enterprise buyers, agencies, and creators. This is a hands-on role for someone who writes exceptionally well, moves fast, and can take a rough brief to publish-ready copy in hours, not weeks. WHAT YOU'LL DO FUEL LIVE DEALS - Write copy for sales decks, one-pagers, and vertical pitch materials that enterprise and partnerships teams use in live deals. - Prepare copy for events, partner presentations, and program materials (such as certification and partner programs). OWN WEB AND LAUNCH COPY - Own landing page, case study, and website copy, from headlines and value props to CTAs, working with designers and web to ship. - Build messaging for product launches (features, API, enterprise plans) and adapt it across web, social, email, and paid. WRITE THE PUBLIC VOICE - Ghostwrite and edit LinkedIn content for the company and leadership: thought leadership, launch posts, and recaps in each author's voice. - Write ad and social creative copy, plus clear briefs for designers and video creators. BUILD THE MESSAGING SYSTEM - Develop and maintain positioning, messaging frameworks, and a brand voice guide, including audience variants for enterprise, agencies, and creators. - Test messaging, read performance data, and iterate on what converts. YOUR MUST HAVES - 3+ years of copywriting experience, ideally B2B SaaS, tech, or a creative or marketing agency. - Exceptional written English: concise, confident, and persuasive, with a strong command of business communication. - A portfolio that shows range: sales or enterprise materials, web copy, and social or thought leadership content. - Ability to understand a technical product (AI video and image generation) and explain it in terms of business outcomes. - Comfort switching voices: enterprise buyer, creative professional, founder or executive. - Fast execution: you take feedback well, iterate quickly, and don't wait for perfect. - Strong self-editing and attention to detail. Nothing goes out with a typo or a vague claim. NICE TO HAVES - Experience in AI, generative media, or creative tools. - Russian language skills. - Experience with localization or writing for international markets (e.g., Japan, MENA, Central Asia). - Familiarity with HubSpot, Figma, or Notion. - Understanding of performance marketing and conversion copywriting. THE DEAL - Competitive salary in USD. - On-site role in our Almaty office. - Relocation to Almaty from anywhere: we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in. - Full-time position.

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.   ABOUT THE ROLE We're looking for a Senior Recruiting Coordinator to own how our Almaty recruiting team runs day to day. Our Almaty recruiting team hires across Engineering, ML & Research, Product, Growth, Creative, GTM, Finance, and Operations, at a pace few companies have ever had to match. This role makes sure that pace doesn't turn into chaos. WHAT YOU'LL DO Process & Standarts - Define and roll out one consistent way of working across the team: intake, pipeline stages, scorecards, interview loops, offer approvals, and handoff to onboarding. - Make sure every open role has a clear recruiter owner, a named final decision-maker, and an agreed interview panel. - Keep the Hiring Matrix, recruiting playbooks, and Ashby guides current so recruiters and hiring managers can self-serve. - Catch overlapping roles and duplicated outreach before the same candidate is contacted twice. Ashby & Recruiting Data - Own Ashby as the single source of truth. That means no side spreadsheets and no pipelines living in messengers. - Run weekly pipeline hygiene checks for stale candidates, missing scorecards, untracked sources, and applications that were never closed. - Make sure every source is tagged and measurable, including referrals, events, university partnerships, paid channels, and agencies. - Partner with recruiting automation owners on stage automations, integrations, and dashboards. Reporting & Insights - Own recruiting reporting to leadership: pipeline by role, where candidates are stuck, offers out, and which decisions are needed. - Replace manual status reports with live dashboards built on Ashby data. - Track funnel conversion, time-to-hire, channel performance, and recruiter load, and turn them into clear recommendations. - Run the weekly recruiting sync and make sure decisions and action items are captured and followed through. - Onboard new recruiters and coordinators into tools, process, and team standards. - Manage recruiting tools and licenses (Ashby, LinkedIn Recruiter, sourcing tools) so every seat is actually used. - Escalate blockers early, such as salary band approvals, onboarding capacity, and stalled final rounds. YOUR MUST HAVES - 5+ years in recruiting, recruiting operations, or talent program management, including at least 2 years owning process or operations for a team of recruiters. - Hands-on Ashby experience, or deep expertise in a comparable ATS plus the ability to become an Ashby power user quickly. - Experience building recruiting reports and dashboards that leadership actually used to make decisions. - Experience in a high-growth company hiring at volume across multiple functions. - Ability to hold recruiters and hiring managers accountable without direct authority over all of them. - Highly structured, exceptionally organized, and detail-oriented. - Excellent written and verbal English and Russian. THE DEAL - Competitive salary in USD. - On-site role in Almaty office. - Full-time position.

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.   ABOUT THE ROLE We're looking for a Senior Tech Recruiter to own our most important and hardest technical searches across Engineering, ML & Research, Data, Infrastructure, and Security. You'll partner closely with technical leaders to hire senior engineers, researchers, and technical leaders who can operate at the frontier of generative AI. You'll also bring structure and market expertise that help the wider team hire better.   WHAT YOU'LL DO - Own full-cycle recruiting for senior and hard-to-fill technical roles across Backend, Frontend, ML, Research, MLOps, Data, Infrastructure, and Security. - Partner with technical hiring managers to define role requirements, candidate profiles, and interview processes. - Build talent maps of top engineering and ML teams in the region and internationally. - Proactively source passive senior candidates through LinkedIn Recruiter, GitHub, technical communities, referrals, and AI sourcing tools. - Screen candidates for technical depth, seniority, motivation, and product impact. - Lead offer conversations and close senior candidates who are weighing competing offers. - Advise hiring teams on talent availability, compensation, and market conditions. - Keep pipelines, scorecards, and role context accurate and up to date in Ashby. - Share sourcing strategies and market insights with other recruiters on the team.   YOUR MUST HAVES - 5+ years of technical recruiting experience, including senior and leadership-level hires. - Proven track record hiring senior Software Engineers, ML Engineers, Researchers, or Data professionals. - Solid understanding of modern engineering and ML teams, including infrastructure, model training, data systems, and production environments. - Strong sourcing skills with experience engaging passive senior candidates. - Proven ability to close candidates in competitive offer situations. - Ability to earn the trust of senior technical leaders as a recruiting partner. - Experience using Ashby and LinkedIn Recruiter. - Excellent written and verbal English and Russian.   NICE TO HAVES - Experience hiring for AI, ML, generative media, or high-growth startups. - Existing network among engineers and researchers in Kazakhstan, the CIS, or Europe. - Experience using AI sourcing and automation tools. - Experience hiring for security or other niche technical profiles.   THE DEAL - Competitive salary in USD. - On-site role in Almaty office. - Full-time position.

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. ABOUT THE ROLE We're looking for a Head of Recruitment to lead the recruiting engine behind one of the fastest-growing companies in AI. Our Almaty team is hiring world-class talent across research, engineering, product, creative, and go-to-market. As Head of Recruitment, you'll turn a high-velocity team into a high-performing organization. You'll set the standard for how Higgsfield hires, bring clarity to every search, and make recruiting a strategic advantage for the business. You'll partner directly with company leadership, shape how we attract and close exceptional people, and build the operating system that lets us scale hiring without losing quality or speed. WHAT YOU'LL DO Lead the Almaty Recruiting Organization - Set direction, priorities, and standards for the Almaty recruiting and coordination team. - Balance recruiter capacity against business priorities so the most important roles always have the right owner and focus. - Coach recruiters and coordinators, raise the bar on candidate assessment, and develop the next generation of recruiting leaders. Build the Recruiting Operating System - Design an end-to-end hiring process that is fast, consistent, and scalable, from intake and interview design through offer and onboarding handoff. - Establish Ashby as the single source of truth for every candidate, role, and decision. - Introduce structured scorecards, clear decision ownership, and interview standards across every function. - Champion automation and AI-powered tooling to take repetitive work off the team. Turn Recruiting Data into Decisions - Own recruiting reporting for leadership: live visibility into pipeline health, bottlenecks, offers, and hiring velocity. - Use funnel, channel, and capacity data to guide where we invest time, budget, and people. - Build forecasting that connects the hiring plan to recruiting capacity. Partner with Leadership - Act as a trusted advisor to executives and hiring managers on talent strategy, market dynamics, and compensation. - Drive accountability on interviewer availability, feedback speed, and hiring decisions. - Work with People, Finance, and Legal on salary bands, offers, and onboarding readiness. Elevate the Candidate and Hiring Manager Experience - Make sure every candidate experiences a clear, fast, and professional process that reflects the company we're building. - Partner with employer brand and events teams to turn visibility into measurable pipeline. YOUR MUST HAVES - 3+ years leading recruiting teams or recruiting operations. - Proven track record scaling hiring in a high-growth technology company. - Experience building recruiting processes, reporting, and team rituals from the ground up. - Deep ATS expertise; Ashby strongly preferred. - Strong executive presence and the ability to influence senior leaders. - Data-driven mindset with experience building recruiting metrics and dashboards. - Excellent written and verbal English and Russian. NICE TO HAVES - Background in both technical and non-technical full-cycle recruiting. - Experience building recruiting teams in Kazakhstan, Central Asia, or the CIS. - Experience with recruiting automation and AI sourcing tools. THE DEAL - Competitive salary in USD. - On-site role in Almaty office. - Full-time position.

Проект: Корпоративный продукт (ритейл), ~500 пользователей. Условия: от 6 мес., полная занятость, локация РФ (гражданство РФ). Оформление: по договору ИП. Стек: React 19, TypeScript, TanStack Router/Query/Table, Zustand, Tailwind CSS, монорепозиторий. Что важно: • Ключевое: практика с LLM и coding-агентами (анализ, генерация, проверка, передача контекста). Подтвержденный опыт в проектах! Ответственность за код — на разработчике. • Глубокое знание JS/TS: типы, асинхронность, browser runtime, разбор сложного legacy-кода. • Уверенный React: hooks, стейт, роутинг, server state, loading/error, оптимизация рендера. • Web: HTTP, REST, браузерные API, кеш, авторизация, безопасность, производительность. • Frontend-архитектура: поток данных, границы модулей, переиспользование, зависимости. • Решение проблем: лишние рендеры, большие таблицы/деревья, объёмы данных, сеть, сложный стейт. • Проектирование API-контрактов с backend (ошибки, частичные данные, обратная совместимость). • Тесты (unit/component/integration), Git, code review, CI/CD, feature toggles. Личные качества: Самостоятельность, инициативность, высокий драйв, инженерное мышление, скорость без потери качества, понимание бизнес-ценности, видение результата, а не закрытых задач. Задачи: Полный цикл: требования → решение → проектирование → разработка → тесты → релиз → проверка. Работа со сложными интерфейсами (таблицы, деревья, формы, диаграммы), code review, диагностика production, ускорение разработки через AI/LLM и автоматизацию.

Задачи: — Глубокое понимание потребностей, мотиваций и поведения фанатов, продавцов, команд и артистов — Определение направления через создание четких и значимых стратегий, а также внимание к деталям на этапе исполнения и запуска — Балансировка скорости и качества с акцентом на влияние через оптимизации и разработку продукта с нуля — Демонстрация выдающихся дизайнерских навыков и страсти к экспериментам, данным и системному мышлению — Совместное улучшение компонентных систем для обеспечения последовательного и качественного пользовательского опыта Требования: — Опыт работы 4+ года — Отличное мастерство в дизайне — Понимание технических и логистических препятствий, создающих трения во время живых мероприятий — Мышление вызова, новатора и агента изменений — Наличие 4+ часов пересечения рабочего времени с 9:30 до 17:30 по восточному времени — Страсть к живым мероприятиям Условия: — Доля в компании (equity stake) — Дискреционный ежегодный бонус — Гибкая рабочая среда: возможность работать в офисе столько дней в неделю, сколько хотите, или полностью удаленно — Стипендия на организацию домашнего офиса — Неограниченный оплачиваемый отпуск — До 16 недель полностью оплачиваемого семейного отпуска — Соответствие взносов в 401(k) — Программа погашения студенческих кредитов — Медицинская, стоматологическая, офтальмологическая и страхование жизни — До $25,000 на услуги по планированию семьи, репродуктивному здоровью и гендерно-утверждающей помощи — $500 в год на расходы по оздоровлению — Подписки на Headspace (медитация), Headspace Care (терапия) и One Medical — $360 в квартал на билеты на живые мероприятия — Годовая подписка на Spotify, Apple Music или Amazon Music

Location: Warsaw Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. Role Overview Talent Acquisition are strategic members of the HR team who partner with hiring managers to ensure the business recruits the best candidates in the market. You will ensure that we prioritise quality over quantity, and that your approach is personalised and ensures an unparalleled candidate experience. The type of person who will excel in this role is someone who is process driven, highly communicative, proactive in their work, and has an interest in mobile games. Key Responsibilities Partnering with Hiring Managers and Studio leads, advising on best practices and strategies to ensure we provide an exceptional in-house service. Providing an industry-leading candidate and hiring manager experience, ensuring that the business is in a strong position to hire and onboard high-value talent. Maintaining data across our Applicant Tracking System, Requisition Tracker, Linkedin Projects and Job Briefing records. Supporting recruitment for a number of departments across our growing business, including creative, technical, operational, commercial and marketing roles. Implementing processes that connect our candidates, hiring managers and HR teams to ensure we can hire the best talent in a quick, collaborative, and engaging manner. Engaging with the best talent directly, leveraging our EVP and employer brand, minimising agency spend. Learning about our competitors, mapping where external talent is and benchmarking to ensure a competitive offer. Create & update talent maps across hard-to-hire, technical, strategic and operational disciplines. Proactively seeking out ways to improve the workflows and systems. Coming up with ideas and solutions. Supporting wider projects that add value to the business such as employer brand strategy, external events, systems, tools and technology transformations as well as enhancing our data and analytics. Required Skills, Knowledge and Expertise At least 3 years’ experience in Talent Acquisition. Strong familiarity with LinkedIn Recruiter, ATS systems and other standard aspects of Talent Acquisition. Experience hiring for technical and hard to fill roles. Fluent spoken and written English and Russian ; clear, professional communication. Adaptive communicator, able to adjust style to suit different audiences. Strong stakeholder management with consistent, clear updates. Confident on video calls, engaging with both stakeholders and candidates. Be able to tell a good story and sell the company. Genuine desire to build strong relationships across the business. Trustworthy and credible, building strong, supportive relationships. Inquisitive mindset, naturally curious, asking insightful questions to understand people. Good judgement in making objective decisions based on business needs and gathered insights. Organised and methodical. Structured in your approach to work. Proactive mindset, be someone who seeks out new tasks and identifies improvements, potential problems and solutions. Comfortable working independently on confidential projects when needed. Thrives in a fast-paced environment, staying flexible and adaptable. Quick to learn and apply new information effectively. Strong interest in multiple business areas. Genuine interest in Mobile Games and staying on top of industry trends. Working at Tripledot 26 days paid holiday in addition to bank holidays to relax and refresh throughout the year Hybrid Working: We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice. 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year. Regular company events and rewards : Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit Private Medical Cover with Luxmed: Have peace of mind with private medical cover, ensuring your and your family's health is in good hands. Daily Free Lunch: When working in the office order free food from Pyszne.pl Multisport Plus Car d: Enjoy access to various sports facilities across Warsaw with the Multisport Plus Card. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] Continuous Professional Development : Propel your career with continuous opportunities for professional development. English & Polish Classes: Improve your language skills with access to English and Polish classes. This organization operates in compliance with the Whistleblower Act, for more information or to report violations please email whistleblowerpoland@tripledotstudios.com

Задачи: — Глубокая аналитика продаж - работа с большими массивами данных. — Выгрузка, обработка и анализ информации о продажах. — Ведение текущей отчетности. Требования: — Опыт работы аналитиком. — Высшее образование. — Готовность работать с большим объемом информации (от 500 тыс. строк). — Уверенный пользователь MS Excel.

Location: Thailand; Malaysia; Myanmar Workplace: remote About the Team   We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. Tasks: Conduct proactive outreach to potential and existing VIP clients through calls, written communication, and internal CRM tools Promote company products and services to high-value clients Apply effective negotiation techniques to convert leads into long-term customers Develop and implement initiatives to increase client satisfaction and retention Build and maintain strong, long-term relationships as a trusted advisor Monitor client activity and identify opportunities for growth and engagement Maintain accurate records of client interactions in the CRM system Requirements: English proficiency at B2 level or higher Native or bilingual proficiency in Thai Proven experience in the financial industry, preferably in sales, account management, or business development High level of responsibility and professionalism when working with VIP clients Strong communication, negotiation, and relationship-building skills Result-oriented mindset and ability to work in a fast-paced environment What We Offer: On-site work model in our brand-new office in Larnaca (Cyprus) or remote work model Competitive remuneration Professional courses: from Coursera to Harvard Friendly, enjoyable and positive environment With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.   Join us today, and let's shape the future of fintech together!   Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.   #LI-DK1

Location: Remote - India MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business. Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable. Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you. Key Responsibilities Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB Write sophisticated, performant SQL to extract insights from large-scale datasets Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level Develop internal tooling and automation using Python, FastAPI, and modern frameworks Communicate findings clearly to technical and non-technical stakeholders-translate data into action Understand and document data architecture, lineage, and how information flows across systems Collaborate on business process analysis and process design improvements driven by data Proactively identify opportunities for deeper analysis, better tooling, and operational improvements Requirements & Qualifications 7+ years of professional experience in data analytics engineering, data engineering, or a related field Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts js experience - ability to build data-facing web applications and internal dashboards Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch Excellent communication skills - you can explain complex analysis to anyone in the room Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own A public GitHub profile with examples of your work (personal projects, contributions, experiments) Nice to Have FastAPI experience for building internal APIs and services Background in business process design or operational analytics Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Location – India (remote) Travel - As required for the job (minimal). What's in it for you? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. Salaries for candidates outside the U.S. will vary based on local compensation structures. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Задачи: — Искать и тестировать источники трафика; — Запускать маркетинговые гипотезы; — Работать с креативами, текстами и аудиториями; — Анализировать CTR, CPC, CPL, CR, ROI; — Находить причины просадок и улучшать результаты; — Масштабировать успешные связки; — Осваивать новые рекламные и AI-инструменты. Требования: — Опыт работы с проектами в белых нишах; — Практический опыт работы с рекламными кабинетами Facebook Ads и Google Ads; — Понимание принципов работы digital-маркетинга и основных маркетинговых метрик; — Умение анализировать показатели рекламных кампаний и делать выводы на основе данных. Будет плюсом: — Наличие хотя бы 1 проекта (сайт, tg-бот, приложение, pet-project, автоматизация, рекламная кампания, работа с API); — Опыт использования AI-инструментов в работе. Условия: — Remote из любой точки мира (Fulltime 10:00-18:00 мск); — Проекты на рынках США и Европы; — Оплачиваемый практический этап. Зарплата: — $500 фикс на старте + KPI.

Location: Chicago, Illinois, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU As an Enterprise Sales Director, you will lead a team of Account Executives that focus on closing pivotal deals in accounts experiencing high growth. You will join a team of highly motivated sales professionals that take pride in landing new customers, running strategic sales cycles and delivering the Box message to a wide base of accounts across various industries. WHAT YOU'LL DO Hire, train, and manage a team of Enterprise Account Executives Develop Account Executives for career growth within the Box Sales organization Support team in customer on-sites, calls, and meetings Report on sales metrics and forecast to Senior Sales Management Motivate team to exceed objectives through coaching and mentorship Utilize Salesforce to manage sales process, and set standards for performance metrics Up to 50% travel in assigned territory WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 5+ years closing experience selling to large, complex enterprise organizations 3+ years managing and leading a successful sales team Prior success selling to Financial Services customers Prior success in ECM, Cloud, or SaaS sales management Excellent communication, business acumen organizational and time management skills Robust Salesforce analysis and reporting and forecasting skillset Proven successful track record of exceeding quotas Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-Hybrid #LI-AV1 Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Chicago Pay Range $341,500 — $427,000 USD

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location:  Austin, Dallas or Houston TX Senior Customer Engineer SLED *This is a work-from-home 100% remote role, but you should reside in Texas." What you’ll do as a Senior Customer Engineer SLED About the Role At Cloudflare , we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion. Sitting within the GTM organization and reporting to the Regional Customer Engineering Leader, this specialized role will focus heavily on our SLED (State, Local, and Education) and Local Government sectors. You will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, utilizing AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire public sector customer journey. Key Responsibilities Technical Validation : Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare’s portfolio (Security, Networking, and Developer Platforms) tailored to public sector procurement and compliance standards . Customer Adoption & Value Realization : Lead and/or provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer. You will partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. You will proactively monitor dynamic customer health scores and telemetry to ensure rapid time-to-value and resolve integration bottlenecks common in municipal and educational IT infrastructures . Commercial Accountability & Expansion : Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. You will be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory : Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. AI Orchestration & Workflow Automation : Act as an "AI-Augmented" engineer. Leverage AI agents and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, and basic telemetry monitoring, reclaiming your time for strategic customer advisory. Minimum Qualifications Public Sector Expertise : Proven experience working with or selling into SLED, Local Government, State or Municipal agencies , with a deep understanding of public sector buying cycles, compliance requirements, and unique government IT constraints. Experience : Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Technical Acumen : Broad technical expertise spanning web security, networking (routing, DNS, DDoS mitigation), cloud infrastructure, and enterprise architecture. Commercial Mindset : Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and public sector/enterprise sales cycles. Communication : Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level government C-suite/elected official business strategy. Strongly Preferred Qualifications (The "Good-to-Haves") Cloudflare AI Stack Experience : Hands-on experience building, deploying, or architecting solutions using Cloudflare's developer platform and AI ecosystem, specifically Workers AI, AI Gateway, and Vectorize. Applied AI Knowledge : Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures. Coding/Scripting : Proficiency in Python, JavaScript, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Compensation Compensation may be adjusted depending on work location. For Texas based hires: Estimated annual salary of $231,000-$275,000+ OTE, Base + Commissions Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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 (1,5 hour) - Tech interview (1,5 hour) - Final interview (30 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: 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