Вакансии

Workplace: none About Utorg Founded in 2019, Utorg builds the infrastructure for stablecoin payments: on- and off-ramps, self-custodial wallets, and crypto cards. Over 2 million users across 130+ countries already buy, hold, and spend crypto through our app. On the B2B side, the same rails power 2,100+ platforms, with $2.4B+ moved to date. Fully MiCA-authorized across the EEA. PCI DSS Level 2 certified, backed by Dragonfly, TA Ventures, and Hypra. Location: Remote Tech stack Frontend: React 18/19, TypeScript, Vite, TanStack Query / Router / Table, Zustand, MUI, Tailwind + shadcn/ui, Next.js, i18next, Sentry Testing: Playwright, Vitest, Testing Library, MSW Backend: Java 17 + Spring Boot 3, Kotlin + Spring Boot 4 (new services), Node.js/TypeScript services, PostgreSQL, Redis, NATS, Temporal Infrastructure: Docker, Kubernetes (GKE), FluxCD, GitHub Actions, Cloudflare Web3: viem, ethers AI: Claude Code, MCP, custom skills and plugins, AI code review in CI The role We are looking for a senior engineer who builds product features end-to-end — mostly on the frontend, with the confidence to change the backend when the feature needs it — and who already works agent-first. Our team plans, writes, tests, and reviews code with AI agents. You will own the frontend of our payment products and help turn good AI habits into shared team workflows. The split is roughly 70% frontend / 30% backend. What you will work on Crypto on/off-ramp widget — an embeddable buy/sell flow with KYC, card payments with 3-D Secure, alternative payment methods, and a customer account area—one codebase, built for multiple white-label brands. Merchant checkout — hosted payment pages, from a simple one-step checkout to a full multi-step flow with KYC and compliance screens. Back-office admin apps — internal tools that operations, compliance, and support use every day. A legacy admin is being replaced by a new one built on a modern stack. Backend changes — API endpoints and business logic in our Java/Spring Boot services, so a feature doesn't stop at the API boundary. Responsibilities Own features from ticket to production: UI, API contract, backend change, tests, release, and monitoring. Make frontend architecture decisions and drive ongoing migrations (legacy admin → new admin, older UI libraries → modern stack, stricter type checks). Build and improve AI-driven development workflows: project context files, shared skills and commands, automated PR review in CI, agent-driven end-to-end and visual checks. Review code — both teammates' and agents' — and keep the quality bar high. Work with product, design (Figma), QA, and backend engineers in a weekly release cycle. Must have 5+ years of commercial frontend development, 3+ years with React + TypeScript in production. Solid modern React: server-state management (TanStack Query or similar), client state (Zustand/Redux), forms, routing, performance. Comfortable with large legacy codebases, not just greenfield projects. Production backend experience in at least one language. Java or Kotlin with Spring is a plus; Node.js/TypeScript, Go, or others are fine. You can design a REST API, work with PostgreSQL (schema, indexes, migrations), and ship changes in our Java services. Agentic development is your daily way of working — with Claude Code, Codex, or a similar agent, not just autocomplete. Specifically: you keep project context files ( CLAUDE.md / AGENTS.md ) and write your own skills, commands, or subagents; you connect agents to real tools through MCP (issue tracker, GitHub, Figma, databases, browser); you work in a plan → implement → verify loop, where the agent proves its work with tests, type checks, and browser automation; you run agents in parallel and headless (for example, an AI review bot in CI); you review agent output critically and know the failure modes: invented APIs, silent scope creep, "fixing" a test instead of the code, leaked secrets, prompt injection; you keep up with how agentic tools change (new features, models, practices) and bring what works into your workflow . Testing: Playwright for end-to-end, Vitest/Jest for unit and integration tests. Security-minded: real money, personal data, auth tokens, iframes, and cross-origin messaging. Fluent Russian (the team's working language). English good enough to read and write technical texts: tasks, pull requests, and docs are in English. Nice to have Payments/fintech: card flows and 3-D Secure, alternative payment methods, KYC SDKs (e.g., SumSub), fraud prevention, open banking. Web3 on the frontend: viem / ethers, wallet connection, EIP-712 signing. Multi-brand (white-label) products, theming and design tokens. OpenAPI-generated clients (Orval), TanStack Router / Table. Kotlin, Spring Boot, NATS, Temporal. Docker, Kubernetes, GitHub Actions, GitOps (FluxCD), Cloudflare Workers. How we work with AI Every main repository has AI context files and repo-specific skills. An internal plugin marketplace ships team-wide skills (code review, release flow, back-office operations). AI code review runs on pull requests in CI. It advises, and humans decide. Custom MCP servers provide agents with secure access to internal systems. The company pays for AI tooling. What we offer Fully remote work in an international team. A team where AI-first engineering is the norm, not an experiment. Real influence on architecture and on how the team works. A product at real scale: millions of users and thousands of partner platforms. Competitive salary based on individual performance review. Transparent feedback culture that values ownership and visible impact. Recruitment process Apply with your CV. Application review. HR interview with a short technical screen. Technical interview. Final interview with the CTO. Offer.

Задачи: — Проверять новые возможности CRM: от требований и критериев приёмки до API, интерфейса, интеграций и поведения после релиза; — Проводить исследовательское тестирование, находить граничные случаи, проверять права доступа, корректность данных и обработку ошибок; — Разрабатывать и поддерживать API, интеграционные и E2E-автотесты; — Встраивать автотесты в CI/CD, разбирать падения и устранять нестабильность тестов; — Использовать AI-агентов для анализа требований и кода, подготовки сценариев и тестовых данных, написания автотестов и воспроизведения багов; — Настраивать для AI-агентов контекст, инструкции, skills и доступ к инструментам через MCP и API; — Вместе с командой развивать автоматизацию QA; — Локализовать дефекты по логам, метрикам, запросам к БД и сетевому трафику; — Описывать условия воспроизведения и проверять исправления; — Оценивать риски релиза и объяснять команде, что проверено, где остаются пробелы и какие дефекты мешают выпуску. Требования: — Опыт тестирования веб-приложений и сопровождения релизов: от требований до проверки после выката; — Автоматизация на Python или TypeScript/JavaScript: написание и отладка тестов, в том числе без помощи AI; — Опыт с Playwright или аналогами (Cypress, Selenium): разработка и поддержка E2E-автотестов; — Уверенная работа с HTTP, API, SQL, Git, CI/CD и Docker; — Знание техник тест-дизайна: негативные и граничные сценарии, права доступа, обработка ошибок; — Практический опыт с AI-агентами (Claude Code, Codex или аналоги) на реальных проектах; — Умение диагностировать дефекты по логам, метрикам и трафику; — Готовить понятные баг-репорты. Будет плюсом: — Опыт с pytest, FastAPI, React, PostgreSQL, Grafana, Loki; — Нагрузочное тестирование, безопасность, оценка качества AI-функций; — Свои агенты, MCP-интеграции, инструменты автоматизации QA. Условия: — Удалённый формат работы; — Продукт — CRM и экосистема Prionex; — Участие в задаче с момента обсуждения требований; — Вместе с командой развивать автоматизацию QA; — Выбирать модель и инструменты с учётом качества, скорости и стоимости.

Задачи: - вести разработку от идеи и MVP до production, управлять командой и при этом оставаться hands-on. Переходим к продуктовой разработке малыми командами и AI-agentic подходу. Важно уметь самостоятельно быстро собрать пилот с AI-инструментами, а затем вместе с командой довести его до production. - Руководить командой разработки: планирование, декомпозиция, приоритизация, delivery. - Вести продукты от идеи до релиза и оценивать результат. - Принимать продуктовые и технические решения, формировать roadmap и техническое видение. - Выстраивать процессы разработки, code review, тестирование и контроль качества. - Развивать команду, участвовать в найме и менторинге. - Внедрять AI-инструменты и агентные сценарии разработки в команду. Требования: - 5+ лет коммерческой разработки. - 1–2+ года в роли Team Lead / Tech Lead / руководителя разработки или проекта. - Опыт управления командой и delivery. - Практический опыт с Claude Code, Cursor, OpenAI Codex, GitHub Copilot или аналогами. - Умение самостоятельно собрать MVP и довести его до production вместе с командой. - Понимание LLM, RAG, AI-агентов и оценки качества AI-фич. - SQL / PostgreSQL, REST API, Docker, Git. - Понимание product metrics, PMF, ICP, activation, retention. - Fullstack / hands-on опыт. - Опыт основания стартапа. - Open Source. - Построение команды с нуля. - n8n, LangChain/LangGraph, Open WebUI. - Идеальный профиль: Product × Engineering × AI — человек, который умеет не только управлять разработкой, но и сам быстро превращать идею в работающий прототип. Условия: - РФ, удалённо, full-time, ИП/СЗ.

Задачи: - Разрабатывать и развивать веб-приложения на React и Next.js - Создавать новые интерфейсы и поддерживать существующую функциональность - Интегрировать frontend с REST API и WebSocket - Работать с серверным рендерингом и возможностями Next.js - Использовать AI-инструменты на всех этапах разработки Требования: - Уверенное знание JavaScript и TypeScript - Практический опыт коммерческой разработки на React и Next.js - Понимание SSR, SSG и ISR - Опыт работы с REST API и WebSocket - Нативное владение AI-инструментами — обязательное требование

Мы - Phygital+. AI-платформа для креативных и дизайн-команд. Помогаем крупным компаниям ускорять создание визуального контента с помощью нейросетей, сохраняя качество и контроль. Ищем Product Analyst.

Задачи: - Разрабатывать и развивать веб-приложения на React и Next.js - Создавать новые интерфейсы и поддерживать существующую функциональность - Интегрировать frontend с REST API и WebSocket - Работать с серверным рендерингом и возможностями Next.js - Использовать AI-инструменты на всех этапах разработки Требования: - Уверенное знание JavaScript и TypeScript - Практический опыт коммерческой разработки на React и Next.js - Понимание SSR, SSG и ISR - Опыт работы с REST API и WebSocket - Нативное владение AI-инструментами — обязательное требование

Задачи: • Разработка backend-сервисов банковского приложения на .NET 8 • API для мобильного приложения и веба • Работа с транзакциями, лимитами, комиссиями и идемпотентностью • Интеграции с платёжными и банковскими системами • Архитектура и code review • Активное использование AI для кода, тестов, документации и миграций Требования: • 4+ года коммерческой разработки на C#/.NET • .NET Core / .NET 6–8+, Web API, EF Core • Микросервисы, REST/gRPC, RabbitMQ/Kafka • SQL, Docker • Claude Code / Copilot и умение критически проверять AI-код • OAuth2/OIDC, JWT, шифрование, OWASP Top 10 • Опыт с транзакционной логикой Будет плюсом: финтех/банкинг, PCI DSS, ISO 8583/20022, MCP, CI/CD и AI-автоматизация тестирования.

Задачи: — Разработка и развитие бэкенд-сервисов банковского приложения на .NET 8 — Проектирование и реализация API для мобильного приложения и веба — Активное использование AI-инструментов для генерации кода, тестов, документации и миграций — Работа с финансовой логикой: транзакции, лимиты, комиссии, идемпотентность операций — Интеграции с платёжными и банковскими системами — Участие в проектировании архитектуры и код-ревью Требования: — Опыт разработки: от 4 лет коммерческой разработки на C# / .NET, уверенный опыт с .NET Core / .NET 6–8+ — Стек: Core, Web API, Entity Framework Core, микросервисы, REST/gRPC, очереди (RabbitMQ / Kafka), уверенный SQL, Docker — AI-компетенции: ежедневная практика с Claude Code / Copilot, умение декомпозировать задачи для AI и критически ревьюить сгенерированный код — особенно в финансовой логике — Понимание безопасности: OAuth2/OIDC, JWT, шифрование данных, OWASP Top 10 — Опыт работы с транзакционной логикой и требованиями к надёжности — Английский B2+ — Будет плюсом: коммерческий опыт в финтехе / банкинге / платежах — Будет плюсом: PCI DSS, ISO 8583 / ISO 20022, интеграции с процессингом и эквайрингом — Будет плюсом: MCP, автоматизация CI/CD и генерация тестов с помощью AI Условия: — Полностью удаленная работа — Гибкий график — Оплата в USD/USDT — Минимум бюрократии и гибкие процессы — Работа в сильной команде над интересным проектом — Возможность расти и развиваться вместе с командой

Об Inventeur Inventeur — креативная студия, которая создаёт события, превращающиеся в произведения искусства. Каждый проект строится вокруг сильной идеи, цельной драматургии и глубокого сторителлинга. В работе участвуют режиссёры, художники, композиторы и актёры мирового уровня. Студия соединяет современное искусство, дизайн, архитектуру, технологии и сервис, создавая проекты для частных клиентов по всему миру. Сейчас Inventeur развивается как AI-first студия, интегрируя искусственный интеллект в креативные и производственные процессы, экспериментируя с новыми форматами, используя AI для исследований, концепций, прототипирования и запуска собственных продуктов. О позиции Ищут Junior Producer на проект — две смены иммерсивного лагеря в Испании или Португалии в начале ноября. Работа начинается удалённо, с 25 октября по 12 ноября нужно быть на площадке с командой. Работать вместе со старшим продюсером, проходя весь путь проекта от идеи до демонтажа. При совпадении подхода и ценностей возможна постоянная роль и помощь с релокацией. Чем предстоит заниматься — вести операционную часть проектов: таймлайны, чек-листы, статусы, контроль сроков; — координировать работу подрядчиков и внутренних команд; — собирать и актуализировать базы площадок, артистов, поставщиков и технологий; — готовить технические задания, брифы, райдеры и проектную документацию; — проводить исследования для новых концепций: искать референсы, локации, материалы, технологии и лучшие мировые практики; — участвовать в монтаже, проведении мероприятий и демонтаже; — помогать превращать идеи в реализованные проекты. Чего ожидают — опыт от 6 месяцев в ивентах, продакшне, кино, театре, рекламе или другой проектной роли либо сильное портфолио собственных проектов; — высокий уровень организованности и внимания к деталям; — умение вести несколько задач одновременно и доводить их до результата; — сильные навыки письменной и устной коммуникации; — английский язык не ниже B2; — готовность к интенсивной работе в проектные периоды; — хороший вкус и визуальную насмотренность; — интерес к театру, кино, современному искусству, архитектуре, дизайну и культуре. Работа с AI AI рассматривается как интеллектуальный инструмент, качество работы зависит от мышления человека. Требуется умение работать с языковыми моделями как с младшим членом команды: давать контекст, обучать на референсах, критически оценивать и улучшать результат. Ожидается умение: — формулировать задачи так, чтобы модель понимала контекст; — использовать референсы, документы и примеры для качественного результата; — проектировать и совершенствовать промпты под разные задачи; — понимать сильные стороны моделей и выбирать подходящий инструмент; — проверять, уточнять и дорабатывать ответы AI; — знакомиться с новыми инструментами и быстро внедрять их в работу. Будет преимуществом — опыт работы с премиальными клиентами; — опыт в театре, кино, перформансе, выставочных или культурных проектах; — понимание процессов сценического производства; — опыт работы с AI-first инструментами (Cursor, Claude Code, Lovable, Replit и другими); — базовое понимание принципов vibe coding и быстрого прототипирования.

Задачи: – Разработка и развитие бэкенд-сервисов банковского приложения на .NET 8 – Проектирование и реализация API для мобильного приложения и веба – Активное использование AI-инструментов для генерации кода, тестов, документации и миграций – Работа с финансовой логикой: транзакции, лимиты, комиссии, идемпотентность операций – Интеграции с платёжными и банковскими системами – Участие в проектировании архитектуры и код-ревью Требования: – Опыт разработки: от 4 лет коммерческой разработки на C# / .NET, уверенный опыт с .NET Core / .NET 6–8+ – Стек: Core, Web API, Entity Framework Core, микросервисы, REST/gRPC, очереди (RabbitMQ / Kafka), уверенный SQL, Docker – AI-компетенции: ежедневная практика с Claude Code / Copilot, умение декомпозировать задачи для AI и критически ревьюить сгенерированный код — особенно в финансовой логике – Понимание безопасности: OAuth2/OIDC, JWT, шифрование данных, OWASP Top 10 – Опыт работы с транзакционной логикой и требованиями к надёжности – Английский B2+ Будет плюсом: – Коммерческий опыт в финтехе / банкинге / платежах – PCI DSS, ISO 8583 / ISO 20022, интеграции с процессингом и эквайрингом – MCP, автоматизация CI/CD и генерация тестов с помощью AI Условия: – Полностью удаленную работу с гибким графиком – Оплату в USD/USDT – Минимум бюрократии и гибкие процессы – Работу в сильной команде над интересным проектом – Возможность расти и развиваться вместе с командой

Location: Poland; Georgia; Serbia; Bulgaria; Armenia We build cloud CPaaS/CCaaS infrastructure - the routing, messaging and real-time layer that contact centres run on. High traffic, event-driven services, and a UI that has to stay correct while thousands of live conversations move through it. We're hiring a senior engineer for a team where AI agents are part of the normal development loop, not a pilot. You'll own features end-to-end across a Go backend and a React/TypeScript frontend, and you'll be accountable for everything you ship — including the parts an agent wrote. This is not a prompt-engineering role. It's a senior engineering role where AI-assisted delivery is the default working method. Requirements What will you do at MMDSmart? Own features end-to-end across Go backend and React/TypeScript frontend; Design and develop solutions for high-load and distributed production systems; Use AI coding agents as an integral part of your everyday development workflow; Guide AI agents, review and verify their output, and take ownership of the final result; Build and evolve backend services, APIs, frontend functionality, and external integrations; Investigate complex production issues and drive them to resolution; Contribute to architecture decisions, technical discussions, and system improvements; Help improve our codebase and development practices to make AI-assisted engineering more effective. You are a perfect match if you have: 5+ years of professional software engineering experience and strong Senior-level engineering fundamentals; Strong hands-on production experience with Go - 4 years of experience; Practical experience with React and/or TypeScript; you don’t need to be a frontend expert, but you should be comfortable working with frontend code; Hands-on experience with high-load and distributed production systems; Experience designing, building, and debugging production services and APIs; Hands-on experience with AI coding tools such as Claude Code, Cursor, Windsurf, Copilot, or similar - beyond simple autocomplete; Ability to use AI to work effectively across different parts of the stack while critically reviewing and verifying its output; Strong engineering judgement, ownership, and ability to make technical decisions independently. Our Tech Stack: Backend: Go, microservices, REST APIs, GraphQL Frontend: React, TypeScript, Zustand / Redux Toolkit, WebSocket / SSE Event-driven: Kafka, NATS / JetStream, RabbitMQ, event-driven architecture Data: PostgreSQL, Redis, MongoDB Infrastructure: GCP, Kubernetes, Docker, CI/CD, Infrastructure as Code Observability & Performance: structured logging, metrics, tracing, profiling, high-load and concurrency tooling AI Development: Claude Code, Cursor, Windsurf, Copilot and other agentic development tools Domain: CPaaS / CCaaS, messaging, voice, real-time communication, external provider integrations Will be a plus: CCaaS / CPaaS / telecom background: contact-centre routing, ACD, omnichannel messaging. Voice stack: WebRTC, SIP, media servers, or CPaaS APIs API gateway and microservices integration; GraphQL federation. Kubernetes, Docker, CI/CD ownership, infrastructure-as-code. Polyglot persistence: Redis for caching and ephemeral state, PostgreSQL where a document model is the wrong fit; plus the judgement to tell the difference. MongoDB Atlas or self-managed cluster operations. Internal tooling, evals or automation built on LLM APIs. Open-source contributions, especially in Go. What you get: An AI-first engineering environment where AI is part of real production development; The opportunity to use AI to work across the full stack and expand beyond your primary expertise; Work on high-load communication products with real business impact; A team where Senior Engineers influence technical decisions and architecture; Remote work. Benefits Why do talents choose and stay at MMDSmart? Embrace the opportunity to work in a company that cares about: Your Wellness: Access to mental health programs, comprehensive medical insurance, and a sports card*. Your Happiness: Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts. Your Development: Benefit from free educational events & courses, and English classes with native speakers. Your Career: Focus on your professional development in a supportive environment. Work-Life Balance: Choose your working format - remote, office-based, or hybrid and engage in team-building activities. Think this role's got your name on it? Go ahead and apply, we'd love to see what you've got! Equal-Opportunity Employment We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. *Medical Insurance and Sport Card perks are available for employees located in Bulgaria.

Location: Serbia - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Mission Increase Smartcat’s talent density by hiring exceptional talent through an AI-first, data-driven recruiting approach.  You will partner closely with leaders across Go-to-Market, Product, Engineering, and G&A to identify, attract, assess, and close high-performing talent who thrive in high-growth, high-accountability environments.  You will also help shape the future of recruiting at Smartcat by leveraging AI, automation, and market intelligence to continuously improve how we hire. What You’ll Own Talent Density Hire high-performing talent who raise the bar across the organization Independently manage complex searches from Individual Contributor to Director level across multiple functions Drive rigorous evaluation processes focused on capability, motivation, adaptability, and long-term impact Influence hiring decisions with data, market insights, and strong judgment AI-First Recruiting Use AI tools to improve sourcing, outreach, interview preparation, market mapping, process efficiency, and decision-making Continuously experiment with new workflows, automations, and recruiting technologies Help evolve Smartcat into a world-class AI-native Talent Acquisition organization Talent Delivery Consistently meet or exceed quarterly hiring goals in a fast-scaling environment Drive urgency and accountability across hiring teams Anticipate bottlenecks early and proactively solve them before they impact business outcomes Strategic Partnership Act as a trusted advisor to hiring managers and executives Use talent market intelligence to influence hiring strategy, compensation positioning, and org design discussions Challenge assumptions when needed and advocate for high hiring standards Candidate Experience & Employer Brand Deliver a high-touch, high-quality candidate experience grounded in transparency, responsiveness, and respect Represent Smartcat’s culture, ambition, and mission with authenticity Build long-term relationships with exceptional talent globally Your outcomes By Day 30 Build strong partnerships with hiring managers and key stakeholders Develop a deep understanding of Smartcat’s business, products, culture, and AI-native operating model Learn Smartcat’s recruiting workflows, systems, and hiring philosophy Begin owning active searches independently By Day 60 Independently manage multiple active searches across functions Demonstrate strong proficiency in Greenhouse and recruiting workflows Begin integrating AI tools and automation into your daily recruiting operations Establish credibility as a responsive and strategic partner By Day 90 Successfully close high-impact hires Be recognized as a trusted advisor by hiring managers Influence hiring decisions through data, market insights, and strong talent judgment Contribute process improvements that increase recruiting efficiency or hiring quality What You’ve Accomplished 10+ years of full-cycle recruiting experience in a high-growth SaaS, AI, or startup environment Experience hiring across both GTM and R&D organizations Proven success managing complex and high-priority searches in fast-changing environments Demonstrated ability to use AI tools to increase productivity and improve recruiting outcomes Strong sourcing and talent mapping capabilities across multiple channels and markets Excellent written communication and cold outreach skills Strong stakeholder management and influencing capabilities across manager to executive level Experience using recruiting metrics and market insights to guide decision-making Ability to operate independently with high ownership and accountability Comfortable navigating ambiguity, shifting priorities, and intense growth environments What Makes Someone Successful at Smartcat Strong sense of urgency and bias toward action Results-oriented and highly accountable Curious, adaptable, and continuously learning Open to direct feedback and willing to challenge others constructively Passionate about building exceptional teams and raising talent density Thrives in fast-paced, high-performance environments Communicates clearly, directly, and transparently Uses AI as a force multiplier, not a novelty Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

About this role: TelQ Telecom is a globally recognized SMS quality assurance provider, established in 2016 — a small, profitable team building the SMS testing tool telecom teams worldwide actually trust. Now we’re looking for a marketer who runs with AI. 180+ countries covered 1,500+ live mobile networks 25+ team members 100M+ SMS tests delivered 7 Antonio Meucci Global Telco Awards since 2023 The role: You’ll own our new product ClickTerm — clickwrap software for capturing legally enforceable online consent. Every channel is yours to run, from SEO to paid to email, alongside our Lead Marketing Manager, with AI as your leverage across the full funnel. Key responsibilities: SEO & Content Strategy & research : Run keyword research and build a content plan tied to business goals Content creation : Write and edit blog posts, landing pages, and product pages On-page SEO: Optimize titles, meta descriptions, headings, URLs, image alt text, and internal links across the site Technical SEO : Run audits and fix page speed, mobile issues, crawlability, indexing, and schema/structured data Conversion rate optimization : Improve layout, copy, and CTAs to turn more traffic into signups Link building & crowd marketing : Build internal links and earn quality backlinks to grow domain authority. Build our presence on Reddit and niche communities AI search: Optimize content to get cited and surfaced in AI Overviews and AI assistants (ChatGPT, Perplexity, Gemini), not only classic search. Paid traffic Plan, set up, and manage campaigns across Google Ads, Meta, and LinkedIn (search, display, social, retargeting) Own the paid budget — decide how to split spend across channels and shift it toward what performs Run structured A/B tests on audiences, creatives, and offers, and scale the winners Set up conversion tracking and watch CAC, ROAS, and CPA to guide decisions. Social & Video Plan and run the content calendar across our key channels (e.g. LinkedIn, X, Facebook) Create and edit videos with AI tools — short-form for social plus instruction and demo videos that show people how the app works. Lifecycle marketing Build and own the core flows: welcome/onboarding, activation, nurture, and win- for inactive users Set up email (and push/in-app messages) with automation triggers and segments so the right message reaches the right user. AI & Automation Use AI across all your work — research, content, creative, analysis, and reporting Build your own automations and workflows to cut manual work (no-code tools like n8n/Zapier, plus light scripting where needed). Analytics Own tracking setup: GA4, events, UTMs, and conversion tracking Build clear dashboards and on channel performance Analyze the full funnel — from first visit to signup to active user. Skills and qualifications: 3+ years in growth, digital, or performance marketing — Range across channels matters more than tenure. Full-funnel hands-on skills — Real experience across SEO, paid, content, social, email, and CRO. AI is already core to how you work — Fluent use to research, create, edit, analyze, and automate. Hands-on with tools like Claude / ChatGPT for workflows. SEO & CRO know-how — On-page, technical, and content SEO, plus improving pages to convert more traffic into signups. Paid media experience — Can run and optimize Google, Meta, and LinkedIn campaigns against CAC, ROAS, and CPA. Video creation — Can script, produce, and edit short-form, demo, and instruction videos with AI tools. Familiar with the modern marketing stack — e.g. GA4 & Search Console, Ahrefs or Semrush, Google/Meta/LinkedIn Ads, Mailchimp, Mailjet or Mailgun, Looker Studio. Data-driven — Comfortable in GA4, UTMs, and reading a funnel end-to-end. Strong written English — Clear, simple copy that also translates well across markets. Startup-ready, owner mindset — You ship fast, set your own priorities, and don’t wait for a brief. Why you should work with us: Start-up environment, stable ground. Profitable, customer-loved, and still growing Your work ships, end-to-end. You own channels and see real impact AI-first, for real. You’ll have the freedom and tools to build a modern, automated marketing engine A small team that supports each other. Benefits: Flexible hours & remote work options Premium health insurance (family coverage) 25+ vacation days with fully covered medical leave Paid courses & certifications Top-notch equipment Small, friendly team environment To apply, send us: Your CV or LinkedIn (in English) A 3–5 line note: “One growth result you personally drove, and one AI workflow you built that changed how you work.” Portfolio / links (content, campaigns, videos, dashboards) Optional: “Which AI tools are in your daily stack?”

Location: Armenia - Remote; Europe; Georgia - Remote; Portugal - Remote; Serbia - Remote; Spain - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM You'll help build the intelligence layer that powers decision-making, AI agents, automation, and business operations across Smartcat — on a greenfield cloud data platform, transitioning from legacy on-premise, batch architectures to cloud-native, streaming-first infrastructure. This is a chance to shape how Smartcat scales its data capabilities over the next several years, directly aligned with the company's transformation into an AI-native, agentic platform. MISSION Help transform Smartcat's data platform into an AI-native foundation where business data becomes discoverable, actionable, and consumable by both humans and AI agents — partnering across Data, Product, Engineering, GTM, and AI teams to enable self-service analytics, intelligent automation, and agent-driven decision support. OUTCOMES Evolve Smartcat's data architecture into a scalable, cloud-native, AI-first platform, leading the transition from batch-oriented pipelines to near real-time and streaming systems Improve reliability, observability, governance, and performance across the data stack, establishing engineering standards and best practices Turn business data into AI-ready assets — building data products consumable by AI agents, analytics systems, and business users, with semantic layers and metadata management Use AI to accelerate development, testing, documentation, monitoring, and operational workflows, and design systems that let AI agents query, understand, and act on business data safely Improve business intelligence and data accessibility — making analytics simpler for non-technical stakeholders and enabling self-service without sacrificing governance or quality Raise the engineering bar through mentorship, code reviews, architecture leadership, and knowledge sharing across Data and Analytics Engineering HOW YOU'LL RAMP By Day 30: Get deep on Smartcat's current data architecture, the greenfield cloud platform build, and the transition plan from batch to streaming Meet your partners across Data, Product, Engineering, GTM, and AI teams to understand current pain points and priorities Get hands-on with the core stack (Databricks, dbt, Airflow, Python, SQL) and current BI tooling (e.g., Omni) By Day 60: Contribute to at least one concrete piece of the Next Generation Data Platform build (pipeline, streaming component, or data product) Have identified and started applying at least one AI-powered workflow to accelerate your own engineering work (testing, documentation, debugging) Begin shaping a semantic layer, metadata structure, or data product aimed at AI-agent or business-user consumption By Day 90: Own a defined piece of architecture or data product end-to-end, with measurable improvements in reliability, observability, or time-to-insight Be actively mentoring or raising the engineering bar through code reviews and architecture input Have a documented example of measurable productivity gains from AI adoption in your own workflow WHAT YOU'VE ACCOMPLISHED 6+ years of experience in Data Engineering, Analytics Engineering, or a related field A proven track record designing and operating modern cloud data platforms, ideally in high-growth SaaS environments Experience working effectively with both technical and business stakeholders Demonstrated ability to lead complex projects from design through delivery Strong hands-on experience with Databricks, dbt, Airflow, Python for data engineering, SQL and data modeling, data warehousing architectures, data quality frameworks, data governance, and data orchestration/integration Experience with streaming architectures and event-driven systems, business intelligence platforms, product analytics platforms, and CRM/customer data platforms A demonstrated AI-first mindset — AI-powered development workflows, automation of repetitive engineering tasks, use of AI for debugging/testing/architecture exploration/documentation, and evidence of measurable productivity gains through AI adoption Bonus: experience building AI-native data products, semantic layers, RAG systems, vector databases, knowledge graphs, or enabling AI agents to consume operational business data Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role We’re seeking an exceptional Principal Engineer to shape the technical direction and long-term architecture of Aidoc’s AI-first development tools. You’ll report to the company’s co-founder and Chief Architect, and drive meaningful change to the whole R&D department, setting standards of how engineering is done well and productively in Aidoc. In this role, you’ll lead complex, cross-organization initiatives and drive architectural strategy across multiple teams, while staying close to the code and ensuring decisions are grounded in real-world implementation. You’ll work directly with R&D leadership and all R&D teams to define and build the tools which will make Aidoc’s R&D organization 10x faster and better thanks to the new AI capabilities of the world. We will work in “startup mode” - close to our users, delivering value in quick iterations, while keeping very high engineering standards. Responsibilities Define and drive long-term strategy for AI-first dev tools in collaboration with engineering leadership. Define, develop, and integrate tools based on the latest AI technologies for the benefit of Aidoc’s R&D department. Lead company-wide technical initiatives, ensuring alignment across multiple teams. Lead and formalize engineering best practices around performance, reliability, and observability. Evaluate emerging technologies and identify opportunities to improve scalability, developer productivity, and overall system robustness. Requirements 15+ years of professional experience building software systems in Development. Proven track record in technical leadership roles, delivering complex cross-functional projects. Deep understanding of architecture, scalability, and operations of an engineering organization delivering enterprise software. Experience with cloud infrastructure (AWS or equivalent), and modern DevOps practices. Strong coding skills in one or more modern backend languages (e.g., Python, Go, Node.js, Java, C#). Power user of AI-first development tools (Claude Code / Cursor / other agents / MCP servers etc.) Strong technical leadership skills - able to align technical directors and executives towards a shared technical vision. First principles thinking - ability to break down your recommendations to the basic technical truths behind them. Advantage: experience delivering products to developers / highly technical customers. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Responsibilities: — Develop backend services, multi-agent workflows, and enterprise Retrieval-Augmented Generation (RAG) capabilities for large language model (LLM)-based AI-first applications and platforms. — Enhance evaluation and observability of these systems. Requirements: — Experience with backend development and multi-agent workflows. — Knowledge of enterprise RAG capabilities and LLM-based AI applications. — Familiarity with technologies including Kubernetes, LangChain, Java, C#, Go, React, Rust, Python, Docker, and TypeScript. Benefits: — Not specified.

Location: Remote Workplace: Remote ABOUT US Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. ABOUT THE TEAM The SABR team owns the top layer of request processing for product discovery. We own the service that first receives product discovery requests (autocomplete, search, browse & recommendations) & executes the entire business logic that drives product discovery. That service also functions as a gateway to parse incoming user requests, orchestrate calls across the internal services that do the ranking and retrieval, interpret their responses, and assemble the final response the customer sees. We also own the public configuration APIs customers use to control how discovery behaves, and the MCP layer that exposes all of it to AI agents. Our team owns both platform & product components: Because of the positioning of our services, we take part in every architectural decision of our core product offering. At the same time, our goals are heavily influenced by direct customer feedback, because all product discovery-related features are either implemented in or integrated with our services. All of our services are public APIs, so interface design and backward compatibility are a constant part of the job. But most of our attention goes to keeping them fast and up: we serve up to 15k RPS, fan out to many internal services on every request, and are expected to stay available and degrade gracefully when any of them fails or slows down. The work is distributed systems in practice rather than in theory: request orchestration, failure isolation, caching, latency budgets, capacity planning, and the observability to know what is actually happening in production. The team is small enough that engineers own problems end to end, from design through on-call. ABOUT YOU You're a senior engineer who wants to own features end to end, not just close tickets. You've built and run production Python services, ideally high-traffic or latency-sensitive ones, and you've been on-call for them. You think in trade-offs: latency versus cost, a quick fix versus a durable one, a new parameter versus a public API customers can't afford to see break. You can take a feature from a rough problem statement to a design, ship it, and then make sure it behaves in production. You're comfortable leading a project with one or two other engineers and helping teammates grow along the way. When a problem is only partly defined, you ask the right questions to pin it down. When you meet an unfamiliar protocol or system, you read the spec and work out how it fits. You change your mind when someone has a better argument, and you still care about your code long after it merges. WHAT YOU WILL DO - Own the design and delivery of features and components in our services. - Design and evolve public API endpoints with backward compatibility in mind, and contribute to architecture discussions for our services. - Improve performance and reliability: find latency and failure hotspots, add the observability needed to understand them, and fix them. - Take an active part in design and code review, and mentor mid-level engineers. - Work with product, solutions/support, and other engineering teams to understand customer needs and turn them into solid technical solutions - Take part in on-call for the systems you own, and lead incident response and follow-through when things break. WHAT WE ARE LOOKING FOR TECHNICAL - Solid experience building and operating backend services in production, ideally high-traffic or low-latency ones. - Extensive Python knowledge (our primary language). - Hands-on experience with observability (metrics, logs, traces) and debugging performance issues in live systems. - Experience designing and evolving public APIs that external customers depend on. - Experience designing & implementing scalable service-oriented architectures. BEYOND THE CODE - Track record of delivering projects end to end, including leading small efforts with other engineers. - Collaborative mindset: open to feedback, and willing to change your position when someone has a better argument. - Clear written communication - design docs, RFCs, postmortems. - Good judgment about trade-offs and scope. - Comfort with ambiguity and loosely defined problems. - Ownership that extends past merge, to how the system behaves in production. NICE TO HAVE - Experience with AWS - Background in search, ranking, information retrieval, or e-commerce product discovery. - Exposure to AI/LLM-facing infrastructure (MCP, agent tooling, or similar). BENEFITS 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year 🌎 Fully remote team - choose where you live 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office 💻 Apple laptops provided for new employees 🧑‍🎓 Training and development budget for every employee, refreshed each year 👪 Maternity & Paternity leave for qualified employees 🧠 Work with smart people who will help you grow and make a meaningful impact 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results TBD 📈 Stock options - offered in addition to the base salary 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.