Вакансии

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia Coding agents are only as good as the context they're given. Most explore a repository like a new hire on day one – grepping, opening files, guessing. JetBrains Context replaces that with actual knowledge of your whole codebase and resources, served to any agent that asks. If you want to own the layer that decides what an agent knows before it writes a single line, this is for you. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do As agents get better at searching for themselves, what is the durable value of a managed retrieval layer? We need someone with an opinionated answer to own JetBrains Context as a product – defining what it is for, who it is for, how we measure success, and where it goes next. This is a hands-on role where you'll manage the product from a terminal and agent session rather than slides. You'll bridge the technical core and cross-functional teams: collaborating closely with engineering and ML teams on indexing pipelines and retrieval quality, working with Air, IDE, and Junie teams on integrations, and partnering with marketing, developer advocacy, sales, and customer success on positioning and adoption. You'll take full ownership of defining problem statements, setting explicit trade-offs, and balancing cost, latency, and freshness across the platform. Day to day, you will: Build and maintain a deep working understanding of chunking, embeddings, index freshness, retrieval, reranking, and agent-facing surfaces. Define and defend an opinionated vision for the product's evolution, including explicit target audiences, use cases, and key success metrics. Translate product strategy into actionable problem statements, priorities, plans, and milestones with an explicit definition of “done”. Communicate product direction clearly to engineering, leadership, cross-functional stakeholders, customers, and prospects. Analyze competing context and code-search products through direct use to establish clear differentiators and identify gaps. Define core operational and product metrics – index freshness, retrieval quality, agent task outcomes, adoption, retention, and unit economics – to guide decision-making. Represent the product externally by sharing roadmaps, publishing updates, speaking to developer audiences, and gathering community feedback. Partner with ML teams on model evaluation and platform teams on service scale, reliability, and cost. What you’ll bring A well-argued point of view on where AI-first development is going and what agents genuinely need from a context layer. Comfort with technical depth across embeddings, retrieval quality, sub-agents, tool-calling, indexing costs, and API design. The habit of using the product you build daily alongside competitors' tools. Communication that adapts to different audiences, from staff engineers and enterprise architects to conference attendees. A data-informed approach that combines telemetry, evaluation results, customer conversations, and market signals. Comfort with ambiguity and a preference for defining a new category over copying an existing one. What you’ll need Proven experience owning a complex developer, platform, or infrastructure product end to end, including strategy and roadmap. Hands-on familiarity with modern AI coding tools and agent workflows. The technical capability to work directly with engineering on retrieval behavior, APIs, data models, and integration surfaces. The ability to define metrics for quality-sensitive products and build evaluation habits that maintain product standards. Experience communicating a product externally through written content, talks, or community engagement. Practical experience with search, retrieval, RAG, developer search, or static analysis at scale is a plus. What success looks like Within your first months, you'll form and share a clear thesis for what JetBrains Context is and is not – one the engineering team recognizes as theirs and leadership can invest in. You'll establish a metrics story that distinguishes real retrieval quality from vanity usage, a roadmap with clear trade-offs, and a documented evaluation of serious competitors. Longer term, success means JetBrains Context becomes a deliberate choice for developers and organizations, agents get measurably better answers because it exists, enterprises adopt it for its governance and scale, and the market clearly understands its unique value because you've communicated it effectively. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-HYBRID #LI-AA1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Задачи: — Развитие платформы: работать над функционалом, стабильностью и производительностью. — Развивать AI-функционал: LLM-based сценарии, tool calling, RAG, работу с контекстом, кэширование и другие механики. — Разбираться со сложными production-инцидентами и устранять не только последствия, но и причины проблем. — Клиентские внедрения: превращать пожелания клиента в дорожную карту запуска. — Проектировать архитектуру интеграции Sance.AI с инфраструктурой клиента. — Отвечать за техническую часть сложных клиентских запусков — от discovery до production. — Команда и инженерные практики: менторить junior/middle-разработчиков, помогать с декомпозицией задач, архитектурой и сложными техническими вопросами. — Проводить code review и повышать качество решений команды. Требования: — От 4 лет коммерческого опыта в разработке, от 1 года опыта в продуктовой команде. — Уверенные знания в asyncio, очередях, кешировании, конкурентности. — Практический опыт создания production-функционала на базе LLM, а не только использование ChatGPT. — Опыт с OpenAI API или другими LLM API. — Знания prompt engineering, tool calling, RAG, caching и context management. — Опыт с embeddings, vector search и agentic workflows. — Опыт тестирования и evals. — Понимание production-проблем: latency, стоимость, rate limits, hallucinations, retries и observability. — Уверенная работа с REST API сторонних сервисов, webhooks и внешними сервисами. — Умение разбираться в документации. — Опыт интеграций с CRM — особенно amoCRM и/или Bitrix24. — Умение довести размытую бизнес-задачу до работающего production-решения, видеть системные проблемы и помогать команде расти. — Будет плюсом опыт B2B/Enterprise-внедрений, highload и event-driven систем. — Собственные AI-проекты и опыт работы в стартапах. Условия: — Работа в быстрорастущем AI-стартапе, влияние на продукт, архитектуру и процессы. — Разнообразные задачи, крупные клиенты и короткий путь от идеи до production. — Быстрый карьерный рост.

Задачи: — Разрабатывать компоненты платформы целиком — Собирать требования, строить модели данных и описывать методики расчётов — Общаться напрямую с конечными пользователями — Проектировать архитектуру и защищать свои решения — Глубоко применять Claude Code и Cursor как agentic-инструменты, а не просто чат — Проводить ревью, технические обсуждения и развивать инженерную культуру Требования: — 5+ лет коммерческой разработки сложных DWH/BI-систем — Уверенные навыки: C#, .NET, ASP.NET, Angular, AI-инструменты — Реальный опыт работы с Claude Code: настройка CLAUDE.md, структурированные промпты, анализ кодовой базы, генерация production-ready кода, рефакторинг, тесты, pull requests и аудит безопасности — Понимание ограничений LLM и умение выстраивать безопасный HITL процесс Условия: — Формат работы: удаленно, РФ, московский часовой пояс — ЗП: готовы обсудить пожелания — Корпоративные подписки на AI-инструменты

Задачи: — Разрабатывать собственную платёжную инфраструктуру вместе с CTO: оркестрацию и маршрутизацию между провайдерами и MID, карточный vault и токенизацию, рекуррентные списания, ребиллинг, ретраи и защиту от двойных списаний. — Подключать эквайеров и доводить решения до продакшена. Требования: — Senior backend-инженер с 5+ годами коммерческой разработки и сильным Go или Node.js/TypeScript. — Практический опыт payment orchestration и карточной токенизации, понимание PCI DSS и безопасной работы с карточными данными. — Опыт работы с несколькими PSP/эквайерами, recurring payments, обработкой отказов и идемпотентностью. — Опыт работы в стартапах и самостоятельного ведения задач от технического решения до запуска. — Ежедневное использование Claude Code, Codex или аналогичных coding agents. — Очень продвинутый английский для общения с международной командой и объяснения технических решений фаундерам. — Большой плюс — network tokens, account updater, high-risk/continuity и платежи за физические товары. Условия: — Полностью удалённая работа, full-time без параллельных проектов, B2B и пересечение с рабочими часами Кипра. — Небольшая инженерная команда, прямое взаимодействие с CTO и возможность влиять на архитектуру продукта.

Location: Berlin Our Story Founded in 2009, we’re one of the world’s leading game studios, and proud of our extremely international team, consisting of more than 50 different nations. We are part of Playtika and the global leader in the category of Hidden Object Games. With June’s Journey, we’re providing joy for millions of players around the world every day. How we work Our aim is to keep doing so for many more years, if not decades. In order to be able to do so, we’ve defined a distinct way of how we’re working at Wooga, so that all relevant aspects intertwine and have a positive impact on the game. No matter if you’re part of a game team or support the success of Wooga as part of a central team, all 250+ employees from around the world can make an impact. We’re proud of the environment we’ve built, and believe you’ll enjoy working with some of the best people in the industry. Our drivers: Speed, Focus, Ownership, and Impact, guide our working style at Wooga and help us make a deliberate choice to focus on what is important to us, while working towards a shared goal. These drivers shape how we work together and what we expect from ourselves and our leaders. As a Mid-level Marketing Data Analyst, you will analyze large-scale data across user acquisition touchpoints in order to generate insightful metrics, custom dashboards, and deep-dive analyses to measure marketing performance. Our marketing teams aim for best-in-class user acquisition strategies, bringing high-quality players to our games while driving innovation around performance marketing and targeted campaigns. We're looking for a passionate, results-oriented talent to join our team, develop new insights to shape data-driven decisions, continuously improve marketing efficiency, and help drive business growth for years to come. About the job Design, build, and maintain automated, interactive dashboards in Tableau to give the Marketing team up-to-date visibility into performance and KPIs. Dive deep into large-scale marketing data to identify key insights that will inform user acquisition strategies and business growth. Help define how best to measure and monitor our marketing channels, creatives, budget allocation, and overall campaign performance. Help to develop an analysis strategy and perform analysis of complex campaigns and A/B tests, both systematically and on a one-off basis. Provide data-driven recommendations to help Marketing Managers optimize their campaigns across various channels (e.g., Facebook Audience Network, Snapchat, TikTok). Partner with Data Engineering on data gathering and signal sharing, integrating 3rd-party data providers (e.g., AppsFlyer, Kochava), democratizing data with reporting tools, AI Agents, and innovating workflows. Communicate actionable results and data-driven findings across the organization clearly and concisely. About you You have recent experience in a data analyst role, preferably in digital advertising, performance marketing, or the app industry. You have experience with (app) Attribution Services (eg: AppsFlyer or Kochava). Literacy on Agentic Workflows, and other productivity and modern self-service data innovations. You can use SQL effectively within an enterprise data environment and you have a good understanding of commonly applied statistical techniques. Basic understanding of programming is not required, but is appreciated. You have strong experience using Tableau (or similar) to build interactive dashboards and visualizations. You have good problem-solving skills and can look for logical connections between marketing spend, consumer behavior, and data. You have a deep understanding of the digital advertising market,including communication patterns as they relate to consumer marketing. You are in tune with user acquisition patterns, and you understand mobile app growth. You know your way around designing, communicating, visualizing, or reporting your results/analysis so they are clear and unambiguous to both technical and non-technical audiences. Please note: Research has shown that some under-represented groups in the gaming industry (eg: women) tend to apply only if they meet every single requirement. Here at Wooga, the desire to learn and the willingness to solve problems are more important to us than your experience on paper. We encourage you to apply even if you do not think that you tick all the boxes - thinking outside of such boxes and embracing the diversity of mindsets and backgrounds is what we believe makes our teams thrive. Our Promise Shape the future! Challenge the status quo and team up with a diverse group of experts (over 50 nationalities!) working on crafting the world’s best games. We offer a generous relocation package and home search support if you are not already located in Berlin. Did we mention that we also cooperate with Kindergartens? Make use of a significant education budget and extra days off for self-development. Join our meet-ups, talks, brown bag lunches, internal trainings, workshops and many others. Enjoy the pilates, mindfulness app, sports and transport subsidies. And a Purpose Day to donate your time to a worthy cause! Did you know that German is the third most commonly taught language worldwide? Learn it too! We offer German language classes for you and your significant other. With our hybrid work model you will work in the office with your teams twice a week, to encourage in-person collaboration and team bonding. The other three days you can choose if you want to work from home or from the office. We also offer 10 days a year to work from abroad. At Wooga we are committed to providing a friendly, safe and welcoming environment for everyone who works here or with us, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, religion (or lack thereof) and game preferences. Be yourself, we like you that way! By clicking “Submit Application” you acknowledge that you have read our Candidate Privacy Policy

Задачи: — Помогать лидам с планированием, вести инициативы от идеи до релиза; — Работать с CPO над продуктом, держать в фокусе метрики и пользу; — Синхронизировать команды: разработку, аналитику, QA; — Давать CEO честную картину: статусы, блокеры, риски. Требования: — От 3 лет в IT и от 3 лет в роли PM: самостоятельно вёл команду и отвечал за релиз; — Опыт с B2C или явная мотивация туда перейти; — Опыт работы с разработкой, аналитикой и QA; — В новой теме разбираешься сам, без раскачки и ожидания готовых объяснений; — Используешь AI в реальной работе на уровне coding agents, AI-harnesses. Не подходит: — Управлял только сроками и встречами, без личной инициативы в продукте; — Ждёт готовое ТЗ и подробную инструкцию на входе. Условия: — Полная удалёнка; — Оформление Service Agreement; — Зарплата в валюте без привязки к курсу рубля.

Задачи: — автоматизация процессов в CRM; — AI-скоринг и квалификация лидов; — интеграция AI-агентов с CRM и внутренними сервисами; — передача и синхронизация данных между CRM, сайтами, базами данных и сторонними сервисами; — настройка API-интеграций и webhooks; — автоматизация публикаций постов в соц.сети и Linkedin; — интеграция с мессенджером, email, телефонии и других каналов коммуникации; — разработка небольших внутренних сервисов, админок и технических инструментов для команды; — доработка сайтов и подключение их к CRM / backend-системам; — развёртывание сервисов на VPS / серверах; — работа с базами данных; — поиск и исправление ошибок в API и существующих интеграциях; — логирование, мониторинг и доведение автоматизаций до стабильной production-работы; — оперативное решение технических проблем, которые возникают у команды в течение дня. Задачи разные: это может быть интеграция GPT со скорингом лидов в CRM, настройка webhook между двумя сервисами, поиск причины, почему перестали попадать заявки с сайта. Требования: — умение быстро разобраться с незнакомым сервисом и самостоятельно найти рабочее решение; — практический опыт с REST API и Webhooks; — опыт работы с CRM-системами; — опыт работы с OpenAI API / GPT и другими LLM; — опыт работы с AI Agents; — знание JavaScript / TypeScript и/или Python; — опыт работы с Git; — опыт интеграций мессенджера, email, телефонии; — опыт создания сайтов и внутренних админок; — способность самостоятельно разбираться в документации, понимать API, предлагать архитектуру, выбирать инструменты, реализовывать решения, тестировать, находить проблемы и доводить до стабильной работы; — самостоятельность, адекватная скорость ответа, ответственность за результат, умение коммуницировать с нетехнической командой, способность приоритизировать срочные проблемы и текущую разработку. Условия: — работа в рабочее время с 10:00 до 19:00 по Варшаве; — начало с тестового задания, максимально приближенного к реальной работе; — при успешном сотрудничестве возможна долгосрочная работа; — оплата обсуждается индивидуально в зависимости от опыта и формата работы; — зарплата по договорённости.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Marathi speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Marathi speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Marathi, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Marathi and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Kannada speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Kannada speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Kannada, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Kannada and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Telugu speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Telugu speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Telugu, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Telugu and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Tamil speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Tamil speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Tamil , and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Tamil and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

We're building AI agents for performance marketing. Plurio, the AI agent for media buying teams running $300K–$15M/month on Google, Meta, and TikTok. It connects to your internal backend data and your ad accounts, automates analysis and optimization, saves 50% of time, and boosts ROAS by 10–30%. Our agents already run $500M+/year in ad spend. Since our public release in March, our customer base has grown 4× in 10–12 weeks. Our goal is the autonomous user acquisition factory that runs 10× better than anything before, growing budgets under management to $30B/year. Задачи: — Вы будете руководить командой и агентом, отвечать за рост клиентских метрик. — Улучшать и обучать агента, формировать методологию его работы: как он читает данные, анализирует сигналы, автоматизирует решения и действия, взвешивает параметры. — Встраивать логику медиабаинга в рабочие процессы и правила агента. — Собирать лучшие практики из собственного опыта, клиентского портфеля и рынка, адаптировать их для агента и клиентов разных вертикалей. — Совершенствовать агента совместно с продуктовой командой и AI маркетинговыми инженерами. — Работать с клиентским портфелем: обучать команды клиентов работе с агентом, улучшать и контролировать рабочие процессы, правила и процессы внутри агента для роста метрик клиентов. — Общаться с руководителями по привлечению пользователей, CMO и лидерами перформанс-маркетинга клиентов, обучать их, разбирать кейсы, находить новые задачи для агента. — В случае, если агент управляет рекламой клиента, вы вместе с агентом и AI маркетинговыми инженерами становитесь командой клиента по Meta Ads, определяете логику и механику работы. Требования: — Опыт управления рекламным бюджетом в Meta от $1M в месяц. — Опыт разработки стратегии, структуры, подходов к тестированию, автоматизации и найму команды, как лично, так и через команду. — Глубокое понимание работы Meta: сигналы, аукционы, структура аккаунтов, логика оптимизации. — Опыт управления командой из минимум 3-4 человек: медиабаеры, аналитики, креативные продюсеры. — Умение объяснять логику и механику работы команде и отстаивать решения на уровне CMO. — Опыт работы с автоматизацией: создание собственной или интеграция внешних сервисов, понимание CPA, правил масштабирования и остановки, логики принятия решений. — Знание потребительских воронок: мобильные, веб, web-to-app, app-to-app, особенности окон конверсии, задержек атрибуции и отслеживания доходов. — Опыт создания или соучастия в создании креативной фабрики для Meta: анализ, механика тестирования и генерация. — Свободное владение английским языком, уверенное общение и письменная коммуникация с англоязычными клиентами. Условия: — Работа в команде, использующей AI-агентов во всех функциях: инженерия, продажи, операции, клиентские проекты. — Обучение использованию и созданию агентов, интеграция вашего опыта в них. — Прямая работа с основателями и руководством компании. — Компенсация до $15K в месяц, включая базовую часть и бонусы за результат.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Traditional Chinese speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Traditional Chinese, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Traditional Chinese and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW    Welocalize is looking for a native-level Mandarin Chinese speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Mandarin Chinese, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Mandarin Chinese and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Malay speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Malay speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Malay, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Malay and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Thai speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Thai speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Thai, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Thai and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Tagalog speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Tagalog speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Tagalog, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Tagalog and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Swahili speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Swahili speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Swahili, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Swahili and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.