Вакансии

Ищем UI/UX дизайнера для сложных интерфейсов нашей платформы. Задачи: — сценарии и логика (user flow, wireframes) — UI: личные кабинеты, дашборды, формы — прототипы в Figma и дизайн-система.

Location: Remote USA Workplace: remote ABOUT YOU The Xsolla Offerwall puts rewarded offers in front of players inside the games and apps of our publishers. A player opens the wall, picks an offer, completes it, and earns in-game currency. Whether they do depends on what they see: the offer card, the creative, the video, the playable, and the reward moment. Those units come from several places. Some are native offers we render ourselves. Some arrive as VAST video, HTML or MRAID creatives, or OpenRTB Native assets from demand partners. Each format has its own rules, and each one has to look right in a publisher's game, on a phone, without breaking what the advertiser sent. You'll own how offerwall ads look and perform. You'll decide which formats we support and how they render. You'll design what the player sees, and turn that into specs engineers can build from. You'll measure whether a change made players more likely to engage, and you'll use AI to make better creative faster than a manual process allows. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Ad experience and creative Own the look and feel of every ad unit in the offerwall: offer cards, detail pages, video, playables, interstitials, and the reward flow. Set creative standards for advertisers and publishers: layouts, asset specs, safe areas, aspect ratios, and branding rules. Balance three groups who want different things: players want a clean experience, publishers want it to match their game, and advertisers want their brand shown properly. oRTB formats and rendering Define how we support VAST, HTML and MRAID , and OpenRTB Native inside the offerwall, across Web, iOS, Android, and Unity. Write the requirements for format support: which VAST events we track, which MRAID calls we allow, and how Native assets map into our own templates. Work with Engineering on creative QA and rejection rules, so broken or non-compliant creatives get caught before a player sees them. Design to engineering Turn ideas into Figma designs and prototypes that engineers can build without guessing. Write PRDs and acceptance criteria that cover states, edge cases, and device differences, not just the happy path. Work with our designers on the offerwall's design system, and keep it consistent across publishers and platforms. Experimentation and performance Run A/B tests on layouts, creative treatments, and formats, and read the results yourself. Track the metrics that show whether the ad experience works: CTR, video completion rate, offer start and completion rates, IPM , and eCPM. Turn what you learn into a prioritized roadmap, and explain the tradeoffs to Engineering, Demand, and leadership. AI in creative and workflow Find where AI can improve ad units: generating creative variants, adapting assets to new formats, auto-cropping and localization, and checking creative quality. Use AI tools in your own work: prototyping, writing specs, analyzing test results, and getting from idea to something testable faster. Cross-functional work Work with Engineering, Design, Demand, Publisher Success, and Data every week. Give the Demand team clear creative guidelines they can share with advertisers. Bring what publishers and advertisers say back into the roadmap, in a form engineers can act on. Qualifications & Skills: Around 5 years of product management experience, with a significant part of it in AdTech. Hands-on experience owning ad design or ad experience: ad units, creative formats, or how ads render in an app or game. Working knowledge of oRTB ad formats. You know how VAST, HTML and MRAID , and OpenRTB Native creatives work, what breaks them, and what the specs allow. Comfortable with data. You can design an A/B test, read the result, and write SQL or use a BI tool to answer your own questions. You write clear specs. Engineers should be able to build from what you write without coming back to ask what you meant. Good visual judgment. You can tell why one layout works and another doesn't, and explain it in terms of player behavior. Clear communication with engineers, designers, and commercial teams. Based in Los Angeles or elsewhere in the US, and able to work across US time zones. Nice to Have: Experience working with AI. This one matters a lot to us. Show us how you've used AI tools such as Claude, Midjourney, or Figma AI to make ads, prototype products, or get more done. Come ready to show a real example. Experience with offerwalls, rewarded ads, or rewarded video. Experience designing in Figma: building prototypes and engineering-ready designs yourself, not just reviewing someone else's. Experience in mobile gaming or app monetization. Familiarity with ad SDKs, mediation, and how they render third-party creatives. What Your Week Looks Like: A demand partner starts sending VAST wrappers that time out on Android. You look at the VAST chain, work out where it's slow, and agree a timeout and fallback rule with Engineering. Offer completion rates on one publisher are 30% below the network average. You compare their wall against others, find the reward value is hidden below the fold on smaller phones, and mock up a fix in Figma that afternoon. An advertiser wants to run a playable in the offerwall. You check what their MRAID creative needs, decide what we'll support, and write the spec. You use an AI image model to generate 20 variants of an offer card's hero image, test four of them, and share the winner and the lift with the team. Engineering asks how Native title and icon assets should behave when an advertiser sends nothing. You answer the same day, with the rule written into the spec. How Success Is Measured: Offerwall engagement improves: higher CTR, offer start rate, and completion rate, backed by test results rather than claims. The formats we support render correctly across platforms, and creative rejections and rendering bugs go down. Engineering builds from your specs and designs without long back-and-forth. Advertisers and publishers have clear creative guidelines, and the Demand team uses them. AI is part of how the team makes and tests creative, not a side experiment. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Product Manager, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements     Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Что предстоит делать: • Создавать экраны, окна, меню, HUD, элементы интерфейса и иконки. • Прорабатывать состояния элементов и переходы между экранами.

опыт проектирования и доработки интерфейсов e-commerce: главная страница, каталог, карточка товара, корзина, оформление заказа и другие пользовательские сценарии; уверенное владение Figma: создание макетов, работа с компонентами, Auto Layout, вариантами компонентов и UI-kit;

Ищем сильных технических лидеров, готовых к переезду и работе в международном банковском секторе. ОТКРЫТЫЕ ВАКАНСИИ: 1️⃣ Директор мобильной разработки (Head of Mobile) — стратегия, архитектура, iOS/Android, внедрение ИИ.

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our People team are the architects of a great workplace where brilliant minds come together to do their best work. From discovering diverse talent and nurturing future leaders, to creating spaces that spark collaboration and crafting rewards that celebrate success - we're passionate about building a culture where everyone can thrive. We’re looking for a People Operations Process Transformation Lead to join our global team based out of London. This is a hybrid role. In this role, you’ll help us establish the operational foundation for HR across three global brands, streamlining workflows and preparing core processes for cutting-edge agentic AI. Get to know our People team — what drives us, how we work, and what you can expect. What You’ll Be Doing You’ll be joining the People Services & Enablement team. We run HR operations across DoorDash, Wolt, and Deliveroo, focusing on delivering one unified service catalogue, one front door, and a simplified operating model. You will turn fragmented processes into scalable, AI-ready operations that return real capacity to the business. Here’s what your day-to-day might look like: Establish a unified catalogue and SOP library: Create a single, cross-brand catalogue of all People Services activities with named owners, version control, and clear process mapping across Workday, Jira, and local tools. Eliminate process waste and standardise: Identify and cut redundant handoffs, rework, and unnecessary approvals before documenting standard operating procedures, ensuring we simplify before we automate. Size, prioritise, and track capacity: Implement a consistent T-shirt sizing framework (effort, complexity, risk) across all tasks to prioritise the operational backlog, plan team capacity, and measure FTE hours returned. Lead the agile methodology for agentic AI: Define intake, sprint frameworks, and definition-of-done standards to prepare SOPs and decision rules for AI agents, partnering with People Tech to launch priority automations. Optimise case management workflows: Design structured Jira workflows, auto-routing rules, and an AI case assistant to ensure seamless single-front-door intake, higher first-contact resolution, and strict SLA adherence. Drive cross-functional transformation: Partner closely with People Tech, Knowledge & Content, Payroll, and Centres of Excellence to seamlessly transition work into centralised services and measure tangible efficiency gains. What You’ll Need to Thrive Essential: Significant experience in process improvement, operational excellence, or HR shared services transformation, ideally within a complex, multi-country organisation. Demonstrated ability to catalogue, size, and simplify end-to-end processes, eliminating waste to deliver measurable gains in hours or cost. Strong practical understanding of agile methodologies (e.g. kanban, sprint cycles, backlog management) applied to operational or tech-enabled teams. Hands-on experience designing or governing AI-enabled and agentic workflows, including setting quality benchmarks and identifying critical human-in-the-loop checkpoints. Proven ability to design ticketing and case management workflows (ideally in Jira) and influence cross-functional stakeholders across HR, technology, and compliance without direct authority. Nice to have: Hands-on experience configuring Jira Service Management or Workday. Formal training or practical application in Lean, Six Sigma, or continuous improvement methodologies. Experience writing prompt evaluations, structured decision trees, or knowledge architectures for LLM-powered tools. Exposure to EMEA employment compliance, payroll handoffs, and operational change management. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Москва Workplace: Офисный Мы — отдел экспериментальных технологий в AI VK, который решает широкий спектр ML- и DL-задач. Наша команда анализирует, как наши разработки можно переиспользовать и где применить, а затем масштабировать. Задачи Развивать компоненты AI-ассистента для VK Видео: понимание намерения, удержание контекста диалога, выбор стратегии и маршрутизация инструментов Улучшать генерацию кандидатов, semantic retrieval и reranking для поиска и персонализированных рекомендаций Работать с гибридным поиском: эмбеддинги, текстовые и структурные фильтры, поисковые API, рекомендательные модели и явные критерии пользователя Оптимизировать candidate budget и смешивание кандидатов из разных источников Обучать и дообучать модели для отдельных компонентов системы: LLM-like, reranker, query rewriting, relevance-модели Собирать и улучшать обучающие и тестовые датасеты: реальные и синтетические запросы, сложные негативные примеры, long-tail-сценарии и размеченные диалоги Создавать и поддерживать golden datasets, human-aligned evaluation и автоматические проверки качества; калибровать auto-eval по человеческой оценке Анализировать деградации, формулировать гипотезы и проверять их в воспроизводимых экспериментах Оценивать модели не только по общей метрике, но и по отдельным сценариям, категориям запросов, релевантности, разнообразию, безопасности и качеству диалога Оптимизировать latency, стоимость и использование вычислительных ресурсов при обучении и инференсе Готовить компоненты к промышленной эксплуатации: интеграция, нагрузочное тестирование, мониторинг, обработка ошибок и контроль регрессий Участвовать в offline- и online-экспериментах, подготовке A/B-тестов и интерпретации продуктовых метрик Проводить code review, документировать эксперименты и участвовать в обсуждении архитектуры и исследовательских результатов Требования Сильная теоретическая база и опыт работы в рекомендательных системах, информационном поиске, NLP/LLM; готовность работать на их пересечении Понимание устройства retrieval и ranking: embeddings, candidate generation, negative sampling, cross-encoders, reranking Знание основных offline-метрик поиска и рекомендаций: Recall@K, Precision@K, NDCG, MRR и их ограничений Опыт обучения, валидации и внедрения ML-моделей; доведённые до production либо production-like среды самостоятельно разработанные компоненты Навыки постановки воспроизводимых экспериментов, анализа ошибок и статистической интерпретации результатов Понимание жизненного цикла ML-системы: данные, обучение, inference, мониторинг, деградации и переобучение Опыт работы с большими объёмами данных и пайплайнами обработки; YT, Spark или аналогичные инструменты Базовые навыки Linux, Git, контейнеризации и работы с сервисами Будет плюсом Опыт создания LLM-приложений: tool calling, agentic workflows, RAG, structured generation Дообучение LLM или encoder-моделей: SFT, LoRA/adapters, RL Построение lexical, semantic или hybrid retrieval LLM-as-a-judge, human evaluation, построение golden datasets и калибровка автоматических оценок Оптимизация GPU-инференса, batching, quantization, model serving Опыт с распределённым обучением и промышленной ML-инфраструктурой Практика A/B-тестирования рекомендательных или поисковых моделей Мультимодальные модели, VLM, понимание видео или рекомендательные системы для медиаконтента Наличие публикаций по тематике LLM, NLP, multimodal models

Location: Москва Workplace: Гибридный О компании Ищем стажера QA Auto на продукт MTC Premium. Это подписка, позволяющая клиентам получить единое ценовое предложение по нескольким цифровым сервисам МТС. Обязанности проведение тестирования WEB приложения и backend сервисов; написание тестовых сценариев, планов тестирования; проведение различных видов тестирования (функциональное, интеграционное); локализация и документирование найденных дефектов; написание новой и поддержка имеющейся документации; взаимодействие с командой разработчики(аналитики, разработчики); проведение нагрузочного тестирования, поддержка и написание автотестов на python. Требования студенты 3 - 6 курсов бакалавриата, специалитета или магистратуры; знание SQL на уровне написания простых запросов; базовые знания брокеров сообщений (RabbiMQ, Kafka); базовые знания REST API; знание Python; использование агентных ИИ. Условия развитие в командах профессионалов и опытный наставник, готовый делиться опытом; мобильная связь за счет компании подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети; специальные предложения от партнеров и скидки от продуктов экосистемы МТС; непрерывное развитие — доступ к курсам и вебинарам корпоративного университета и онлайн-библиотеке.

Location: Москва Workplace: Гибридный О компании Мы развиваем платформу мониторинга для ПАО МТС и в поисках специалиста, который сможет разработать ML/AI-агента для исследования инцидентов. Обязанности ML/AI‑исследование инцидентов – разработка и внедрение моделей машинного обучения для автоматической классификации, корневого анализа и предсказания серьёзности инцидентов. Контекстный агент – создание сервис‑агента, который в режиме реального времени собирает и коррелирует диагностические данные (логи, метрики, события) из NMS/EMS, систем мониторинга и баз знаний. Логика принятия решений – построение правил и алгоритмов, определяющих, когда система может автоматически выполнить действие, когда требуется подтверждение оператора и когда действие запрещено. Auto remediation – разработка и интеграция runbook/playbook‑сценариев, позволяющих автоматически восстанавливать сервисы; автоматический выбор оптимального сценария и контроль его исполнения. Интеграция со стеком эксплуатации – подключение AI‑агента к платформам мониторинга, incident‑management (Jira/ServiceNow), NMS/EMS и системам диагностики через API/событийные шины. Объяснимость и guardrails – построение механизма, который генерирует понятные обоснования предложенных причин/действий и накладывает безопасные ограничения (guardrails) для исполнения в production‑среде. Оценка качества и совместная работа с эксплуатацией – мониторинг метрик (precision, recall, FP/FN, доля автоматизированных решений, MTTR), работа с историей инцидентов и совместная формализация типовых сценариев диагностики/восстановления с командой эксплуатации. Требования Практический опыт в ML/AI – работа с applied‑machine‑learning, LLM‑агентами, NLP и решениями интеллектуальной автоматизации. Опыт обработки неструктурированных и полуструктурированных данных – аварийные сообщения, логи, описания инцидентов, комментарии операторов. Построение и эксплуатация пайплайнов – создание ETL‑/ELT‑конвейеров, интеграция обученных моделей в production‑окружение. Знание современных подходов к Retrieval‑Augmented Generation и агентным workflow – tool‑calling, классификация, ранжирование, поиск похожих кейсов. Разработка сервисов на Python – чистый, тестируемый код, применение фреймворков (FastAPI, Flask, Django и др.). Работа с API, базами данных и системами обмена сообщениями – REST/GraphQL, SQL/NoSQL, Kafka/RabbitMQ, etc. Понимание безопасной автоматизации и её внедрения в реальный процесс – механизмы approvals, rollback, audit‑trail, RBAC и умение «перевести» модель из эксперимента в продуктивный сервис. БУДЕТ ПЛЮСОМ: Опыт в телекоме, NOC, мониторинге, incident management или эксплуатации инфраструктуры. Опыт работы с LLM-агентами для диагностики, troubleshooting или автоматизации операций. Опыт построения recommendation systems или case-based reasoning. Опыт работы с Kubernetes, Kafka, Airflow, MLflow, векторными БД. Понимание сетевых технологий, базовых принципов работы мобильной сети, EMS/NMS-систем. Опыт создания систем auto-remediation в SRE/DevOps/Network Operations. Условия Оклад + годовая премия; Программа ДМС с первого месяца работы - это 100% покрытие расходов в частных клиниках, включая стоматологию. Застраховать близких родственников можно со скидкой 50%. Для любителей путешествий - страховка в поездках за границу. А еще есть страхование жизни; Очное и онлайн-обучение в Корпоративном университете, у внешних провайдеров, если это полезно для работы, обмен опытом во внутренних профессиональных сообществах, а также доступ к онлайн-библиотеке с полезными книгами и периодикой; Оплачиваемые выходные на значимые события в жизни сотрудника; Материальная помощь в сложных жизненных ситуациях; Корпоративная мобильная связь + интернет, а также единая подписка МТС Premium (онлайн кинотеатр KION, сервис МТС Music, МТС Строки и т.д.); Предложения от партнёров для путешествий, развлечений и занятий спортом; Возможность участия в волонтерских программах: мы организуем благотворительные ярмарки, Образовательные проекты для детей, конкурсы социальных проектов и экологические проекты; Внутренняя спортивная программа «В движении»: забеги, марафоны, турниры по разным видам спорта, медитации и занятия на баланс. Голосуй за МТС в Рейтинге работодателей hh.ru : https://rating.hh.ru/poll Ищи нас в блоке «Технологии и цифровые решения» — направление «Телекоммуникации, связь».

Ищем UI/UX дизайнера, который думает как пользователь: понимает, зачем человек пришёл в продукт, где он может запутаться и как сделать его путь проще. Figma важна, но для нас не меньше важно, как ты рассуждаешь, общаешься с командой и принимаешь решения.

Проектировать понятные пользовательские сценарии для личных кабинетов и административных систем.

• Нативные приложения на Kotlin для телефонов, планшетов, Android TV и приставок (Mi Box, Stick).

Location: Bangalore, India; Mumbai, India; Pune, India; Delhi, India Workplace: remote We're looking for a conversion-focused Performance Optimization Manager (Paid Social) with agency experience to plan, launch, and optimize paid campaigns across the full lifecycle, with Meta as your core platform. You'll turn data into clear decisions that drive measurable results. This is an individual contributor role for someone detail-oriented, analytical, and comfortable working openly with internal teams and clients. Key Responsibilities Plan, build, manage and optimize paid campaigns on Meta (Facebook and Instagram) as the primary channel for this role. Set up and manage product feed and catalogue campaigns on Meta, including Advantage+ catalogue ads, dynamic product ads and retargeting. Support campaigns on TikTok and LinkedIn as additional channels, using each platform to add incremental value to the media mix. Drive strong, conversion-focused performance, owning KPIs such as ROAS, CPA, conversion rate and revenue. Configure, audit and troubleshoot Google Tag Manager (GTM) events, including pixels, conversion events and data layer tracking, to ensure accurate measurement. Analyze campaign data, build reports and translate insights into clear optimization actions and recommendations. Manage budgets, bids, audiences, creative testing and A/B experiments to continuously improve performance. Proactively communicate issues, risks, tracking problems and performance changes to stakeholders and clients, along with proposed solutions. Work with creative, web and analytics teams to ensure campaigns, landing pages and tracking are aligned. Stay up to date with platform updates, industry trends and best practices in paid social and ecommerce advertising. Mid-level experience managing paid social campaigns, with Meta Ads expertise as a must-have and should have advertising agency experience Proven experience running ecommerce campaigns, including product feed and catalogue setup on Meta. Hands-on experience with GTM event configuration and troubleshooting Strong analytical skills, with the ability to interpret data and make decisions based on it. A conversion-focused mindset, with a track record of improving ROAS, CPA or sales outcomes. Excellent attention to detail, particularly in campaign setup, tracking and reporting. Experience working in a digital agency environment. Exposure to working with US clients, including comfort with time-zone overlap and US market expectations. Ability to work independently as an individual contributor, managing your own accounts and deadlines. Clear written and verbal communication, and the habit of raising issues early. Preferred Qualifications Experience running campaigns on TikTok and LinkedIn (added value). Automotive industry experience (dealerships, OEMs, auto retail or auto parts), which will be an added advantage. Meta Blueprint certification, or GTM / GA4 certification. Familiarity with GA4, Looker Studio or similar reporting tools. What Success Looks Like Campaigns consistently meet or exceed agreed conversion and ROAS targets. Tracking is accurate and issues are caught and resolved quickly. Clients and stakeholders are informed early, with no surprises. Reporting is clear, accurate and leads to actionable optimizations.

Location: Łódź, Poland Workplace: remote Budujemy zrównoważone platformy handlowe, z których w każdym miesiącu korzystają miliony ludzi – kupują i sprzedają samochody, znajdują domy, zdobywają pracę oraz handlują rzeczami z drugiej ręki. To handel, który naprawdę się liczy: bezpieczny, inteligentny i odpowiedzialny środowiskowo. Osiągamy to dzięki odwadze wprowadzania innowacji, koncentracji na rezultatach, współpracy ludzi z ponad 50 narodowości na ponad 7 rynkach oraz podejściu, w którym prawdziwi ludzie są najważniejsi. Do tego dochodzi ambicja zwyciężania – i powstaje kultura pełna energii, oparta na zaufaniu i nastawiona na rozwój. Nasze marki – OLX, Otomoto i Otodom – są uwielbiane przez miliony użytkowników. Co więcej wspiera nas Prosus, jeden z największych inwestorów technologicznych na świecie. Dołącz do OLX i zobacz, jak daleko możesz zajść. Co będzie należało do Twoich obowiązków? Zarządzanie klientami i budowanie długoterminowych relacji, Indywidualna realizacja założonych planów sprzedaży, Realizacja zadań, celów zgodnie z procedurami oraz standardami i aktualizacja danych w systemie, Planowanie indywidualnego czasu pracy, Zapewnienie kompleksowego i profesjonalnego doradztwa w zakresie optymalnego wykorzystania produktów Grupy OLX, Przygotowanie oraz prowadzenie szkoleń dla Klientów, Reprezentowanie firmy w wydarzeniach branżowych (Targi, Konferencje, Kongresy), Praca na danych liczbowych, przygotowywanie raportów, Współpraca z innymi działami firmy, Uczestnictwo w zaplanowanych przez firmę spotkaniach i warsztatach. Co będzie Ci potrzebne, żeby odnieść sukces na tym stanowisku? Min. 3 lata doświadczenia w sprzedaży w branży automovie/finansowej/e-commerce Umiejętność wykorzystania pakietu MS Office (w szczególności Power Point, Excel) do przygotowywania prezentacji i raportów, Dobra organizacja czasu pracy i umiejętność samodzielnego zarządzania podległym terenem, Doświadczenie w prowadzaniu prezentacji, webinarów dla dużych grup, Umiejętności doradcze, negocjacyjne, Doświadczenie w prowadzeniu samochodu osobowego, Umiejętność budowania relacji opartych na wartościach i zaufaniu. Znajomość języka angielskiego, min. na poziomie B1 - mile widziane A co my możemy zaoferować Tobie? Umowę o pracę i bogaty pakiet benefitów do wyboru w ramach platformy MyBenefit m. in. prywatna opieka medyczna, ubezpieczenie na życie, karta Multisport, karta restauracyjna, bilety do kina, teatru i na koncerty, vouchery do sklepów internetowych i stacjonarnych i wiele innych, Atrakcyjny system premiowy (stała podstawa + premia uzależniona od wyników), Narzędzia wspierające Twój rozwój - dostęp do platformy e-learningowej, możliwość udziału w kursie j. angielskiego z lektorem oraz skorzystania z budżetu szkoleniowego, Pracę w systemie 1 dzień z domu + pozostałe dni w obrębie wyznaczonego rejonu (do biura w Poznaniu zaprosimy Cię tylko w razie potrzeby biznesowej), Auto służbowe (również do użytku prywatnego), Wyjątkową okazję, aby stać się częścią szybko rozwijającej się firmy, która ma wpływ na codzienne życie milionów użytkowników, umożliwiając transakcje typu win-win, Imprezy integracyjne, mnóstwo inicjatyw sportowych i wiele więcej - sprawdź nasz profil Pracuj w Grupie OLX - https://www.facebook.com/PracujwGrupieOLX/ . Grupa OLX działa na 7 rynkach z 10 markami, obsługując 64 miliony aktywnych ogłoszeń dziennie i 29 milionów użytkowników aplikacji miesięcznie.  Każdego dnia pomagamy ludziom kupować i sprzedawać samochody, znaleźć wymarzone mieszkanie, zdobyć pracę i handlować rzeczami z drugiej ręki. To handel, który naprawdę się liczy – bezpieczny, inteligentny i odpowiedzialny dla środowiska. Jesteśmy różnorodną społecznością profesjonalistów składającą się z prawie 3000 pracownikow z ponad 50 narodowości. Wspólnie tworzymy organizację, w której każdy głos się liczy, a ludzie mogą rozwijać się i osiągać swoje cele. W Polsce nasza mocna reprezentacja to marki OLX, Otodom i Otomoto. Więcej informacji znajdziesz na: www.olxgroup.com Jeśli chcesz dowiedzieć się więcej o tym jak pracuje się w Grupie OLX sprawdź: https://www.facebook.com/PracujwGrupieOLX/ *Wszystkie określenia wyrażone w formie męskiej odnoszą się w jednakowym stopniu do pozostałych płci i nie mają na celu jakiejkolwiek dyskryminacji. Grupa OLX sp. z o.o. wdrożyła wewnętrzną procedurę zgłaszania naruszeń prawa. Masz prawo zgłosić naruszenie prawa za pośrednictwem strony internetowej lub telefonicznie za pośrednictwem dowolnego z numerów telefonów wymienionych na tej stronie. Weryfikacją zgłoszeń oraz podejmowaniem działań następczych zajmują się upoważnieni do tego członkowie zespołu ds. etyki i zgodności. Wszelkie zgłoszenia będą traktowane z najwyższą starannością, poufnością i zgodnie z obowiązującymi przepisami prawa. Różnorodność, równość i inkluzywność w OLX OLX ceni różnorodność i zaprasza do składania aplikacji kandydatów wszystkich ras, grup etnicznych, niepełnosprawnych, w każdym wieku, każdej płci, orientacji seksualnej, wyznania, pochodzenia i doświadczenia. Jeśli ta rola Cię interesuje, zachęcamy do złożenia aplikacji, nawet jeśli nie spełniasz wszystkich wymagań – możesz być idealnym kandydatem na to stanowisko lub inne możliwości pracy w naszej firmie! OLX przetworzy Twoje dane osobowe w celu oceny Twojej przydatności na stanowisko, o które się ubiegasz. Możesz wyrazić zgodę na przechowywanie swoich danych przez okres do 12 miesięcy po zakończeniu procesu rekrutacyjnego w celu rozważenia ich w przyszłych ofertach pracy w OLX. Aby uzyskać więcej informacji na temat przetwarzania danych aplikacyjnych, zapoznaj się z naszą Polityką prywatności.

Основная задача — разработка и поддержание визуального контента для социальных сетей в едином фирменном стиле под руководством SMM-менеджера. · Опыт работы в графическом дизайне от 2 лет.

Location: Abu Dhabi, United Arab Emirates Workplace: hybrid Autonomous vehicles are coming to the markets in which inDrive serves, but the AV industry has a blind spot: it has almost no data from the cities where we operate. inDrive runs one of the world's largest ride-hailing fleets, concentrated in exactly the emerging markets global AV players have yet to reach. We are building the team that turns that fleet into an AV grade data platform: large scale multi sensor collection from real vehicles on real trips, evaluation of driving models against human drivers, automated and human in the loop causal annotation, and camera first 3D scene reconstruction for simulation. We are hiring the founding leader of this workstream. This is a rare true zero to one: you will hire the team, stand up the vehicles and the data platform, set the technical bar, and own delivery end to end. Key Responsibilities Own the AV data workstream end to end. Roadmap, execution, quality, and outcomes, from vehicle data capture through processing, annotation, and delivery of AV-grade datasets Build the team from zero. Hire and lead a multi disciplinary team covering large scale data engineering, search and serving, ML engineering across divergence detection, edge inference, and VLM based auto labeling, 3D reconstruction research, and data annotation operations. Own the hiring bar and the team's growth Management : Manage ML engineers' charter across the cluster Set technical direction across disciplines. Provide design authority for the full pipeline, including onboard capture, cloud ingestion and processing at fleet scale, semantic and causal labeling, and neural scene reconstruction, and make the key technical decisions on evidence Partner with leaders across the organization. Work closely with the leaders of data platform, ML ops, geo and mapping, and inDrive's wider autonomous vehicle initiatives to align roadmaps, share infrastructure, and unblock delivery Own external partnerships. Drive the technical relationships this work depends on, including the NVIDIA AV ecosystem and prospective AV partners consuming our data Balance research and delivery. Several of the core questions here are open research. You frame milestones as decision gates, redirect work based on evidence, and keep the team shipping measurable results on a schedule Skills, Knowledge and Expertise 10+ years of engineering experience in applied ML, autonomous systems, or large-scale data and ML platforms, including 3+ years in the autonomous vehicle industry or closely adjacent autonomy domains (AV data, simulation, or evaluation platforms, ADAS, robotics perception, HD mapping), and 4+ years managing engineering teams, with a track record of building teams from scratch and delivering from zero to one Strong command of the modern AV and foundation model landscape: vision-language models, multi-modal perception, 3D reconstruction and neural rendering, and the NVIDIA AV ecosystem. Deep enough to set direction, review designs, and make evidence-based technical calls Genuine engineering leadership range: you have successfully led data engineering, platform, or infrastructure delivery, not only ML research, and can evaluate and unblock work across those disciplines Proven ability to take large-scale ML systems from conception to production: data pipelines, training and evaluation infrastructure, and models running under real-world constraints Strong external presence: experience owning technical partnerships, vendor and licensing relationships, or customer-facing technical engagements at a senior level Deep fluency in the modern ML stack (PyTorch or equivalent, large-scale training and inference, Python and Linux) and in cloud data platforms at multi-terabyte scale Bachelor's degree in Computer Science, Engineering, or a related field Nice to have: AV industry experience specifically in offline evaluation, data mining, annotation platforms, or simulation, as distinct from on-vehicle stack development Advanced degree (MS or PhD) in ML, robotics, or computer vision Experience operating in emerging markets, and comfort building where the playbook does not exist yet Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid The QA Load team is responsible for the performance and scalability of services across their entire lifecycle — from Go/No-Go decisions before launch to working with real production traffic. We design and execute load tests, model real-world usage scenarios, identify and eliminate bottlenecks in backend systems, databases, messaging, and infrastructure, and work closely with SRE, DevOps, and product engineering teams. The role focuses on systematic performance improvement: building load-testing infrastructure, automation and CI/CD quality gates, performance analysis and experimentation, and translating technical metrics (latency, RPS, p95/p99) into clear business impact. Our goal is to make performance a core aspect of product quality and ensure the stable operation of high-load, geo-distributed systems. Key Responsibilities Performance Audits & Integration Support: Go/No-Go decisions with our stakeholder about launches services before integrating them into our ecosystem and integrations support (audit APIs, web, databases, caches, message brokers) Design&Execute Load Tests global strategy: Modeling of load testing scenarios (load, stress, soak, peak, find max tests), methodology and formation of non-functional requirements for system using k6, JMeter (DSL framework) Simulate real-world scenarios and traffic patterns to validate systems under production-like conditions (including high RPS, concurrency levels, data skew, and geo-distributed load) Load Modeling: Calculate and validate detailed load models – e.g. expected RPS, concurrent users, transaction volumes, and data distribution. Adjust these models to mirror peak and edge-case scenarios, ensuring our capacity planning is grounded in reality. Bottleneck Analysis & Fixes: Find, analyze, and fix performance bottlenecks. This includes: backend issues (CPU hotspots, memory leaks, GC pauses, thread pool exhaustion) DB inefficiencies (Aurora MySQL/RDS indexing, query locks, IOPS limits) messaging/queue back-pressure (Kafka partitioning, consumer lag, throughput limits) network constraints (latency, load balancer settings, timeouts) Work hands-on with SRE, DevOps, and Backend teams to implement optimizations and verify the improvements. Prepare for Production Traffic: Ensure services are production-ready. Drive capacity planning exercises and stress tests to determine scaling lag/limits and failure modes. Verify that services can gracefully handle traffic spikes or component failures without violating SLAs or SLOs. Help partners configure autoscaling policies for sustained performance Loadtesting Infrastructure Setup&Tuning: Set up, audit, and operate performance testing infrastructure for our services load testing automation and geo-distributed load generator to simulate production traffic Performance Analysis & Experimentation: Approach performance issues with an performance analyst/architect mindset – form hypotheses, design experiments, run tests, and draw conclusions to configuration infrastructure and fix backend code. For example, if latency is high, hypothesize the cause (e.g. database index missing), test the hypothesis, and then make a the fix. Repeat this iterative process to methodically improve system performance. Business Impact Translation: Translate technical performance insights into business risks and opportunities. For instance, demonstrate how reducing latency or improving p95 response time can increase conversion rates or GMV. Communicate these insights to both engineers and non-technical stakeholders to underline the business value of performance work. Observability & Monitoring: Utilize observability tools to monitor performance during tests. Set up dashboards and alerts in Grafana/Prometheus and other systems (e.g. New Relic, Dynatrace, Zabbix, ELK Stack, Coroot), analyze traces and logs. Use few methods to interpret results and guide troubleshooting. Performance Tooling: Build internal performance tooling in Golang: Design and maintain internal tools for automation performance testing and analysis Load as a Service for product teams: traffic generators, load managers, mocks, test stubs, data feeders, and helper services used across partner integrations. Building load test scenarios to Jmeter (DSL framework) and k6 in JavaScript. Innovate on tooling to make load tests easier to create, run, and analyze for the whole team. CI/CD Integration: Integrate performance tests into our CI/CD pipeline as QG. Automate load tests run to every new integration or code change is evaluated for performance regressions. Ensure that build pipelines can catch and flag performance drops (e.g. increased response times, higher resource usage) before changes reach production. Reporting&Communication: Prepare executive-ready performance reports for engineering teams and C-level stakeholders. Highlight key metrics (p95/p99 latency, throughput, error rates, saturation signals) and identify primary scalability bottlenecks across services, databases, caches, and messaging systems, and compare results against SLOs and capacity targets. Provide clear root-cause explanations and actionable recommendations, including performance vs cost trade-offs, to support production readiness and Go/No Go decisions. Performance Culture: Champion a culture where performance = product quality. Educate and influence teams to treat performance testing as an integral, continuous part of the development lifecycle rather than a one-time task. Share best practices and success stories, ensuring that performance considerations are baked into design, coding, and testing processes from the start. Conducting production load and traffic validation experiments with full ownership of risk assessment, blast radius control, observability, and rollback procedures. Work with geo-distributed, high-load systems (200k+ RPS) and latency-sensitive mobile flows Set up production-like performance environments in AWS Conducting and modeling load tests in production Performance analytics → hypotheses → experiments → fixes → measurable business impact (latency, conversion, GMV) Skills, Knowledge and Expertise 5+ years in Performance/SRE/Load Testing Strong programming skills in Golang/Kotlin/Java Strong k6 or JMeter DSL - Performance Testing Mastery: Hands-on expertise with modern load testing tools, especially k6 and/or JMeter (and their scripting DSL). Deep understanding of performance best practice – you know when to apply load testing vs stress testing vs soak testing, and how to interpret the results of each. Hands-on experience with AWS infrastructure on for high-load systems: EKS, EC2, Auto Scaling Groups, ALB/NLB, VPC, subnets, routing, security groups Designing and tuning autoscaling strategies for compute (KEDA/Karpenter/Cluster Autoscaler, EC2 scaling policies) Understanding network performance characteristics: latency, cross-AZ traffic, NAT/egress limits, load balancer behavior under high RPS Profiling Golang, Kafka, Redis, DB tuning experience Automation loadtesting and make QG (JVM languages and Go) SRE mindset (RED/USE, SLO, error budgets) Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for technically-minded product designers who are excited to shape how teams build together. At Figma, design isn’t just how something looks—it’s how it works, how it feels, and how it scales. Our designers are systems thinkers, prototypers, storytellers, and craftspeople who care deeply about quality and collaboration. In this role, you’ll turn ambiguity into clarity, push the product forward with engineers, PMs, and researchers, and help us invent new ways for people to design and build products together. The Core Experience team shapes how people create in Figma—from foundational tools like Auto Layout and Text to the interactions that make working on the canvas feel intuitive and precise. We’re looking for an experienced Product Designer to lead major efforts across the core editor and help define how it evolves as AI and code change the way people build products. You’ll bring a strong point of view, deep interaction design craft, and curiosity about complex systems. Working closely with engineering, product, research, and designers across Figma, you’ll set direction and stay hands-on, turning ambitious ideas into experiences people use every day. With an eye for simplicity and craft, curiosity for complex systems, and an appetite for technical challenges, you can help define the future of how software is made. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Lead the design of core editor experiences, including foundational concepts like Auto Layout, Text, and canvas interactions, from identifying opportunities through prototyping, shipping, and iteration Help us define and champion a clear vision for how the editor should evolve, translating that vision into concrete proposals, design principles, and priorities with product and engineering partners Explore how direct manipulation, AI, and code can work together, prototyping ways for people to move between generating, editing, and refining their work while retaining creative control Ground decisions in user research, product data, and close observation of how people create, using that evidence to test assumptions and refine your point of view Contribute to our design org’s culture by participating in design critiques, mentoring peers, and sharing best practices across teams We'd love to hear from you if you have: 8+ years of experience in product design, including leading complex software projects from early exploration through launch and iteration A portfolio of shipped work demonstrating interaction design and visual craft, including examples of making sophisticated workflows easier to understand and use The ability to guide decision-making with structured thinking, clearly articulated rationale, and user-centered research A knack for figuring out ambiguous problems in complex systems, and shaping them into simple solutions with clear goals Experience researching, prototyping, or building products with AI and other emerging tools to uncover new patterns for creativity and collaboration While it’s not required, it’s an added plus if you also have: Experience designing creative tools, editors, canvas interfaces, or other products with rich, direct manipulation interactions A design/development hybrid background, or experience building websites or apps A history of working on canvas-based interfaces or tools that support creative workflows Experience with code-based prototyping, front-end development, or workflows that connect design and implementation At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $169,000 — $303,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.