Вакансии

Location: Poland Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. What You’ll Do Design, build, and maintain full-stack web applications, ensuring high performance, scalability, and security Implement new features and enhancements in a well-tested, maintainable, and efficient way Collaborate with Product managers and UX designers to create intuitive, responsive, and accessible interfaces Review, analyze, and implement technical solutions to meet business requirements, driving resolution of issues and bugs Contribute to architectural decisions, API design, and system integrations Provide technical leadership to the engineering team - guide design discussions, perform code reviews, and support continuous improvement Participate in task estimation, prioritization, and planning in alignment with engineering processes What You Bring Extensive professional expertise in Python/Node.js and proven experience with modern frontend frameworks (React.js, Vue.js, or Next.js) Background job processing: queues, retries, idempotent jobs, handling a worker that fails mid-task Hands-on knowledge of cloud services (preferably AWS) and database technologies (SQL/NoSQL) Experience in contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and existing systems Deep understanding of API development, microservices, and system integration At least one project using LLM APIs with tool calling and streaming. A side project is fine. A simple chat interface on top of an API isn’t enough At least one product you built from scratch and then maintained in production for a year or more Nice to have Temporal, Inngest or another durable execution tool OpenTelemetry, ClickHouse or other tools for storing large volumes of logs and traces Building MCP servers or clients LangGraph, OpenAI Agents SDK or Claude Agent SDK Protection against prompt injection, sandboxing tool execution English Language Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

-проектировать и разрабатывать backend-сервисы на Python (FastAPI / Flask / Django). -создавать и оптимизировать цепочки LangChain (chains, agents, tools, memory) для реализации сложных сценариев обработки запросов и выполнения многошаговых задач.

Location: Remote - Boston MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. As a Commercial Account Executive, you will own the full sales cycle for new and expansion opportunities across commercial and mid-market accounts. You will establish MinIO’s value proposition, and close deals contributing to our overall success. You’ll need to thrive in a fast-paced, agile setting and work cross-functionally to help us expand from a product-led sales approach to include a sales-driven growth strategy. This role requires comfort in a fast-paced, agile environment and close cross-functional collaboration as we evolve from a primarily product-led motion to a hybrid model that includes sales-driven growth. What You Will Do New Business Development: Prospect, qualify, and close new business across commercial and mid-market accounts. Drive opportunities from first meeting through technical validation, pricing, and close Expand and Retain Accounts: Manage relationships with strategic customers, identifying opportunities to cross-sell, upsell, and deliver measurable value. Articulate Value: Become an expert in communicating MinIO’s benefits to technical and business stakeholders, focusing on business impact and customer success. Collaborate Cross-Functionally: Partner with internal teams, including product, marketing, and customer success, to deliver seamless customer experiences. Pipeline and Forecast Management: Build and manage a healthy pipeline with disciplined forecasting and deal hygiene Use MEDDPICC (or similar) to qualify deals and drive predictable outcomes Maintain accurate pipeline, forecasting, and activity tracking in Salesforce Collaborate cross-functionally with Field Architects, Marketing, Customer Success, and Product Your Skills and Experience Proven Sales Track Record: 3+ years of experience in B2B SaaS or infrastructure sales experience sales with consistent quota achievement and expertise in managing complex, high-value sales cycles. New Business Acumen: Strong background in sourcing and closing new customers, particularly in enterprise or mid-market segments. Account Growth Expertise: Demonstrated ability to expand and retain accounts through cross-sell, upsell, and delivering measurable customer value. Technical Domain Knowledge: Familiarity with cloud-native technologies, data infrastructure, or B2B SaaS. Experience engaging with technical buyers, including VPs of Infrastructure, Engineering, and Enterprise Architects. Startup Mindset: Thrives in fast-paced environments, with experience at early or growth-stage companies. Challenger Sales Approach: Skilled at challenging the status quo, demonstrating clear business value, and driving competitive wins. Communication & Negotiation: Excellent verbal and written communication skills, with the ability to influence decision-makers and navigate complex negotiations. Team Collaboration: Proven ability to work across functions, leveraging internal resources to achieve customer success. Experience managing deal sizes ranging from $50k to $300k+. Expertise in pipeline generation tools (e.g., SalesLoft, Outreach) and social selling (e.g.,LinkedIn Navigator). Familiarity with Force Management, MEDDPIC or other sales methodologies. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams.   The difference you’ll make You’ll lead the Applied AI team within the wider AI Centre of Excellence, setting technical direction and managing the engineers who build, administer and improve the AI-enabled systems and SaaS platforms that support our customers and colleagues. You’ll work closely with business verticals, engineering, security and senior stakeholders to turn business priorities into a clear roadmap and measurable outcomes. You’ll combine people management with hands-on technical leadership across applied and agentic AI workflows, SaaS services, integrations and data pipelines. You’ll guide architecture and delivery, develop the team’s capabilities and own relationships with third-party SaaS suppliers, ensuring our platforms are reliable, secure and deliver value for money. The team sits within Business IT & AI Operations. You’ll provide the direction, governance and operational ownership that help loveholidays scale intelligent automation and well-run business systems safely and effectively, balancing new opportunities with service quality, cost and long-term maintainability. Your day-to-day: - Lead and line-manage Applied AI engineers, setting clear goals, providing regular feedback and coaching, supporting career development and managing performance. Help recruit and onboard new team members as the team grows. - Set the team’s technical direction and delivery roadmap with business and technology stakeholders, prioritising work, allocating capacity and managing dependencies to deliver measurable business outcomes. - Provide hands-on technical leadership for applied and agentic AI workflows, integrations and automation pipelines, guiding architecture, reviewing designs and code, and contributing to complex or high-impact engineering work. - Set standards for building, testing and evaluating tool-using agents with Google ADK or similar frameworks, including safe tool access, human oversight and production readiness. - Own operational performance across AI-enabled services and SaaS platforms, including service health, access, releases, usage and cost. Lead incident escalation and continuous improvement, with clear evaluation criteria and service measures. - Own account management for third-party SaaS suppliers, acting as the primary relationship owner and running regular service and roadmap reviews. Hold suppliers accountable for agreed service levels, resolve escalations and coordinate their delivery with internal priorities. - Manage the supplier and contract lifecycle with procurement, finance, legal and security, covering selection, onboarding, licensing, commercial negotiations, contractual obligations, renewals, notice dates and exit planning. Own spend management for the team’s SaaS and AI services, working with finance to forecast and manage costs against agreed budgets, explain variances and optimise licences and consumption. Track adoption, spend and value, and inform build-versus-buy decisions. - Establish engineering and operational standards for secure change management, documentation, runbooks and governance. Communicate progress, risks and trade-offs clearly, and ensure services have clear ownership and support arrangements. Your skillset: - People & Delivery Leadership: Experience line-managing engineers, coaching and developing people, managing performance and leading delivery. Able to set direction, prioritise competing demands and build a collaborative, accountable team. - SaaS Supplier & Account Management: Experience owning third-party supplier relationships, service reviews, escalations, licensing and renewals. Commercial judgement and the ability to work with procurement, finance, legal and security to improve service quality and value for money. - SaaS Platform Ownership: Experience leading the administration and lifecycle management of cloud-based business systems, including configuration, user access, environments, integrations and releases. - Applied AI & Technical Direction: Strong experience delivering applied and agentic AI workflows that combine models, tools and business data, including orchestration, retrieval-augmented generation and evaluation. Able to make architecture and build-versus-buy decisions, establish engineering standards and guide others. Familiarity with Google ADK or similar frameworks is desirable. - Engineering & Integration: Strong hands-on engineering skills and experience designing and reviewing REST API, webhook and event-driven or scheduled integrations between SaaS platforms, AI services and backend systems. - Operational & Stakeholder Leadership: Experience operating production services in cloud environments, preferably Google Cloud Platform, using CI/CD, observability, incident management and secure operational practices. Able to explain technical and commercial trade-offs, influence stakeholders and connect delivery to business outcomes. The interview journey - Intro with a member of the Talent Acquisition team - 30 mins - 1st stage video interview with the hiring manager - 1 hour - Applied AI technical leadership, team management and SaaS supplier management task - Final stage with Director of Applied AI and senior stakeholders - 1 hour Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Москва GigaCode - AI-продукт для разработчиков. Мы создаём AI-агентов, которые помогают писать, анализировать, тестировать и сопровождать код. Мы ищем системного аналитика, который поможет проектировать AI-системы нового поколения для разработки ПО. Обязанности ### Задачи: * проектирование архитектуры AI-ассистента для разработчиков и workflow AI-агентов * описание бизнес- и системных требований для AI-функций * проектирование архитектуры взаимодействия компонентов (CLI, Desktop, backend, AI-модели) * описание API, протоколов и контрактов взаимодействия сервисов * анализ developer workflows (IDE, CLI, code review, CI/CD) и формирование технических спецификаций * ведение, актуализация и структурирование технической документации и базы знаний продукта * проектирование процессов создания и версионирования документации * тесное взаимодействие с инженерами, ML-командой и продуктовой командой. Требования ### Мы ищем того, кто: * имеет опыт системного анализа сложных технических продуктов * умеет проектировать архитектуру систем * может формализовывать сложные технические требования * понимает архитектуру backend-систем и API * имеет опыт работы с техническими продуктами или developer tools * умеет работать в тесной связке с инженерами * имеет опыт создания и структурирования технической документации для сложных продуктов. **Будет плюсом:** * опыт работы с AI-продуктами * понимание разработки ПО и developer workflows * опыт проектирования agent-based систем * понимание структуры кодовых баз и инструментов разработки * опыт проектирования документационных систем (Docs-as-Code, Docusaurus, MkDocs и аналоги) * опыт написания документации для developer tools / API * практический опыт внедрения документационных практик в команде. Условия ### Мы предлагаем: * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня, страхование жизни, корпоративная пенсионная программа * льготная ипотека для сотрудников, подписка Прайм с возможностью шеринга (совместного использования) на трёх близких, скидки от партнеров и сервисов группы компаний * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * офис с видом на набережную, зонами отдыха и спортзалом * 90 дней удаленной работы из любого региона РФ * реферальная программа (бонус до 100 000 рублей).

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: гибкий ML Media — продукт ML R&D: единый gateway для различных AI-технологий. Продуктовые команды VK интегрируются с платформой один раз и получают доступ ко всему спектру речевых и мультимедийных ML-моделей: ASR — распознавание речи: синхронное, асинхронное (длинные аудио) и realtime-стриминг TTS — синтез речи CV — компьютерное зрение: детекция лиц, оценка качества видео, deepfake-детекция, OCR VQE — улучшение качества речи: шумоподавление, определение голосовой активности Диаризация — разметка аудио по спикерам Суммаризация — краткое содержание аудио и видео на базе LLM: главные тезисы длинных записей за секунды, а не часы прослушивания За единым API платформа скрывает всю инженерную обвязку: маршрутизацию и балансировку нагрузки на GPU-парк с моделями на NVIDIA Triton Inference Server и vLLM, квоты и рейт-лимиты, асинхронную обработку длинных медиа, защиту GPU-парка от перегрузки и наблюдаемость всего контура. ML Media уже интегрирована с ключевыми продуктами VK: MAX, VK Мессенджер, VK ID, VK Звонки и VK Видео. Наши пользователи — миллионы людей, которые каждый день распознают и синтезируют речь, общаются с голосовыми ассистентами и смотрят видео. Сейчас мы проходим трек платформизации существующих технологий: ASR, TTS, CV и другие сервисы уже работают в production по отдельности — мы объединяем их в единую платформу с общим API, единой плоскостью управления и общей инфраструктурой. Отдельная инженерная задача — сделать так, чтобы подключение новой технологии к платформе занимало дни, а не месяцы. Команда интеграции технологий разрабатывает компоненты платформы — API-шлюз (gRPC, REST и MCP для LLM-агентов), плоскость управления (пользователи, токены, квоты), асинхронный контур обработки задач и клиентский инструментарий (CLI, MCP) — и отвечает за то, чтобы research-модели становились надёжными production-API. Задачи Разработка платформы: API-шлюз (gRPC, REST, MCP), плоскость управления (пользователи, токены, квоты), асинхронный контур обработки задач, клиентский инструментарий (CLI, MCP) Поддержка существующих интеграций: сопровождение интеграций продуктовых команд (MAX, VK Мессенджер, VK ID, VK Звонки, VK Видео), помощь в подключении, разбор инцидентов Балансировка и роутинг запросов к ML-бэкендам: кастомные gRPC balancer'ы, health-probing реальными inference-запросами, теговый роутинг моделей Admission control на основе утилизации GPU: метрики throughput, гистерезис throttle/reject, сигналы автоскейлеру Асинхронная обработка длинных медиа: Kafka-воркеры, outbox, ретраи и восстановление задач, партиционирование таблиц PostgreSQL Наблюдаемость и эксплуатация: Prometheus-метрики, Sentry, структурированные логи, поиск узких мест Взаимодействие с ML-командами и продуктовыми заказчиками, участие в проработке архитектуры Требования Опыт коммерческой разработки на Go Уверенное владение конкурентностью: goroutines, context, errgroup, graceful shutdown Опыт проектирования отказоустойчивых высоконагруженных систем Опыт с gRPC (streaming, interceptors), PostgreSQL, Redis, Kafka или другими брокерами сообщений Навыки диагностики production-проблем: метрики, логи, профилирование Системное мышление Будет плюсом Опыт с NVIDIA Triton Inference Server, vLLM или другими платформами ML-сервинга Понимание метрик ML-инференса: real-time factor, throughput, latency, утилизация GPU Опыт разработки кастомных gRPC balancer'ов или resolver'ов Опыт с admission control, capacity planning, автоскейлингом Понимание agentic AI: MCP, tool calling Опыт с sqlc, testcontainers, codegen-пайплайнами Знание Python — для взаимодействия с ML-кодом бэкендов

Location: Санкт-Петербург Workplace: Комбинированный Наша команда занимается внедрением AI в разработку на уровне всей компании VK. Наши клиенты — продуктовые команды из разных бизнес-юнитов компании. Сейчас мы активно развиваем свою платформу для создания автономных AI агентов-разработчиков, а также внедряем общие AI-решения для автономизации различных этапов цикла разработки. Ищем талантливого разработчика, которому интересны Agentic AI-системы, чтобы усилить нашу команду. Примеры задач: Улучшение облачной системы Sandbox'ов, предоставляющих безопасное изолированное окружение для работы автономных AI-агентов Разработка, улучшение и внедрение различных мультиагентных пайплайнов для автономизации SDLC Создание системы бенчмарков для оценивания эффективности автономных AI-агентов для разработки Улучшение качества работы автономных AI-агентов для разработки У нас интересно: Наша команда участвует в ключевых проектах компании Внутренние пользователи всегда рядом, сами приносят обратную связь и открыты к общению Разнообразные задачи и отсутствие рутины Широкие зоны ответственности и простор для творчества Нет лишней бюрократии Задачи Разработка платформы для создания автономных AI-агентов разработчиков Разработка и внедрение мультиагентных пайплайнов для автономизации SDLC Улучшение качества работы автономных AI-агентов разработчиков Требования Опыт коммерческой разработки production ready AI-систем Опыт или интерес к созданию инструментов для разработчиков: анализаторы кода, компиляторы, IDE-плагины, SWE AI-агенты и так далее Уверенные навыки по работе с AI-агентами в разработке и их применению в реальных задачах Понимание внутреннего устройства AI-агентов и базовых принципов agentic AI: prompt и context engineering для современных LLM, MCP, tool calling, etc. Опыт разработки и поддержки кода на Go (основной язык), Python или переход на них за испытательный срок Понимание принципов разработки ПО: подходы к тестированию и его виды, модели работы с Git, современные практики в CI/CD и всё остальное, с чем разработчики разных специализаций сталкиваются каждый день

Location: Москва Workplace: гибкий Команда занимается разработкой и поддержкой внутренней платформы для автоматизации бизнес-процессов, в частности при помощи AI-агентов. Наша цель — сделать автоматизацию доступной для максимально широкого круга пользователей и при этом обеспечить высокий уровень надёжности. Задачи Разработка и развитие ядра графового интерпретатора и backend-функциональности остальных сервисов платформы Проектирование и реализация новых сервисов Оптимизация производительности, стабильности и масштабируемости AI-платформы Участие в проработке архитектуры и технических решений по продуктовым задачам Разбор инцидентов, поиск узких мест, улучшение наблюдаемости и качества эксплуатации Взаимодействие со смежными backend-командами и внутренними заказчиками Участие в код-ревью, техническом обсуждении задач и формировании инженерных практик команды Требования Опыт разработки на Go Опыт проектирования и разработки отказоустойчивых Cloud-Native систем Системное мышление Будет плюсом Знание Python Опыт работы с Mongo, Redis, Kafka, PostgreSQL Опыт работы с N8N или другими подобными платформами Понимание внутреннего устройства AI-агентов и базовых принципов agentic AI: prompt и context engineering для современных LLM, MCP, tool calling, etc.

Location: Москва Workplace: Удаленная работа Обязанности Разработка и поддержка исполнительных модулей (agents, controllers, orchestrators), реализующих автоматическую настройку и контроль сетевых устройств операторского класса. Интеграция модулей с существующей инфраструктурой: взаимодействие с сетевым оборудованием через NETCONF / RESTCONF / gNMI, SNMP, CLI; обмен данными со смежными системами через брокеры сообщений (Kafka, RabbitMQ); интеграция с системами инвентаризации, мониторинга и фиксации аварий. Создание и поддержка моделей данных (YANG, JSON Schema, Protobuf) и MIB-таблиц, используемых исполнительными модулями для сбора телеметрии и отправки команд оборудованию. Автоматизация полного цикла «конфигурация → развёртывание → мониторинг → отклик» с помощью библиотек на Python / Go, формирующих и применяющих конфигурации к сетевому оборудованию, а также реагирующих на события сети. Проектирование и сопровождение хранилища состояния сети (PostgreSQL): фиксация текущих топологий, параметров сервисов, истории изменений и сценариев отката. Тестирование и валидация модулей: написание модульных и интеграционных тестов; построение и поддержка CI/CD-пайплайнов (GitLab CI, GitHub Actions); запуск автоматизированных проверок в тестовой лаборатории с эмуляторами и реальным оборудованием. Подготовка и поддержка технической документации (design documents, API specs, runbooks) в Confluence, участие в code review и согласовании архитектурных решений. Требования Стаж работы не менее 5 лет разработчиком backend с использованием требуемого языка программирования; Экспертный уровень владения требуемым языком программирования (Python, Golang) - глубокое понимание архитектуры и внутренного устройства требуемого языка; экспертное знание фреймворков требуемого языка; Опыт оптимизации производительности на уровне кода и архитектуры; Экспертный уровень владения многопоточностью, многопроцессностью, и асинхронными программированием; Понимание принципов ACID, проектирование race-free и data-консистентных подходов; Экспертный уровень владения SQL, DDL, структур обеспечения целостности данных и быстродействия; NoSQL; опыт анализа плана выполнения и оптимизации запросов; Понимание принципов шардирования и репликации; Опыт взаимодействия с очередями и брокерами; Опыт построения распределенных и отказоустойчивых хранилищ данных; Глубокое понимание сценариев работы СУБД PostgreSQL, паттернов и антипаттернов, и методологии повышения производительности при сохранении консистентности; Опыт работы со статистическими базами данных (Clickhouse и тд); Умение проектировать, реализовывать высоко-нагруженные и распределенные системы; Знание и понимание паттернов Enterprise-разработки; Опыт работы с микросервисной архитектурой; Опыт использования и знания принципов контейнеризации, виртуализации, Kubernetes; Опыт настройки и анализа журналов, метрик, мониторинга, и навыки резюмирования на основании выше описанных источников данных; Уверенное понимание принципов построения безопасных приложений, основных векторов атаки и принципов их нивелирования; Уверенное понимание паттернов автотестирования, подходов и типов; уверенное знание основных фреймворков тестирования; Умение видеть долгосрочные перспективы, риски и возможности выбираемых решений; оценка влияния решений комплексно на продукт; Уверенный опыт работы с Linux; Углубленную экспертизу в работе с Git; Опыт кросс-ревью мерж-реквестов коллег по проектам участия; Опыт сопровождения жизненного цикла проекта; Опыт решения инцидентов (первичной диагностике проблем с проектами участия); Опыт обсуждения и процесса оптимизации ведомых проектов; Опыт процесса CI/CD, релиза и финального (пред-релизном) тестирования продуктов, замещая технического лида; Опыт эксплуатации сетей операторского класса не менее 5 лет: настройка, мониторинг, локализация и аварийное восстановление. Глубокое понимание технологий, лежащих в основе предоставляемых сервисов: IP/MPLS, Ethernet (включая 802.1Q, QinQ), QoS, механизмы резервирования (FRR, LAG, VRRP, BFD). Уверенная работа с SNMP и понимание структуры MIB: чтение MIB-таблиц, использование данных MIB в системах мониторинга и в логике исполнительных модулей. Опыт создания/модификации собственных MIB и настройки SNMP-агентов - как преимущество. Опыт работы с оборудованием нескольких вендоров и понимание различий в их моделях управления. Чтение технической документации на английском языке (RFC, вендорские user manuals). End-to-end автоматизация сети на Python / Go: проектирование и сопровождение библиотек и сервисов, работа с API сетевого оборудования (NETCONF, RESTCONF, gNMI, SNMP), построение модульных, поддерживаемых решений. Написание модульных и интеграционных тестов, использование моков и эмуляторов сетевого оборудования. Декомпозиция сложных задач: умение разбивать крупные инициативы на чётко определённые подзадачи, оценивать их трудоёмкость и обеспечивать выполнение в согласованные сроки. Дополнительные требования (приветствуются) Опыт работы с YANG-моделями (в связке с NETCONF/RESTCONF/gNMI). Знание gRPC / Protobuf, опыт работы с Kafka или иными брокерами сообщений. Опыт работы с системами контейнеризации (Docker) и оркестрации (Docker Swarm / Kubernetes). Знакомство с инструментами наблюдаемости (Prometheus, Grafana, OpenTelemetry). Опыт работы в OSS/BSS-системах или в продуктах автоматизации сети. Условия 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 в полезными книгами и периодикой оплачиваемые выходные на значимые события в жизни сотрудника материальная помощь в сложных жизненных ситуациях корпоративная мобильная связь + интернет, а так же 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

Location: Москва Workplace: В офисе О компании МТС Банк развивает цифровые финансовые сервисы и делает их доступными для всех. Мы работаем с современным технологическим стеком, высоконагруженными системами и облачной инфраструктурой. Такой подход позволяет создавать надёжные решения для бизнеса и клиентов. Обязанности проектировать и разрабатывать backend-сервисы на Python (FastAPI / Flask / Django) создавать и оптимизировать цепочки LangChain (chains, agents, tools, memory) для реализации сложных сценариев обработки запросов и выполнения многошаговых задач интеграция с LLM разработка архитектуры оркестратора: управление состоянием процессов, обработка ошибок и повторных попыток, логирование, аудит выполнения шагов. проектирование REST API для взаимодействия с фронтендом, мобильными клиентами и внешними системами. работа с диалоговыми сценариями ИИ-ассистента: контекстная память, маршрутизация намерений, вызов инструментов, генерация ответов. написание тестов (unit, integration), участие в code review, документирование API и внутренних сервисов. Требования Python 3.9+ — уверенное владение, опыт промышленной разработки от 3 лет. LangChain (или аналоги: LlamaIndex, Semantic Kernel) — практический опыт от 1 года: построение chains, agents, работа с memory, tools, output parsers. понимание принципов работы LLM: prompt engineering, few-shot, chain-of-thought, function calling, token limits, temperature и другие параметры. опыт интеграции с API LLM-провайдеров (OpenAI, Anthropic, Cohere и др.) и/или запуска open-source моделей. asyncio, fastapi или aiohttp. базы данных: PostgreSQL, Redis микросервисная архитектура: Kubernetes, REST/gRPC, принципы проектирования отказоустойчивых сервисов. Условия У нас ваши идеи не потеряются: предлагайте и обсуждайте, ищите новые решения и экспериментируйте. Мы всегда поддержим вас, а ещё предложим: достойную заработную плату ДМС со стоматологией с первого месяца работы доступ к корпоративной библиотеке регулярные образовательные курсы и тренинги от корпоративного университета внешнее обучение цифровое пространство (безбумажный прием на работу, коворкинг, электронный документооборот) специальный тариф на мобильную связь скидки и бонусы на продукты и услуги от МТС, МТС Банка и партнёров программу Best Benefits отсутствие дресс-кода современный и уютный офис в 2-х минутах от м. Технопарк кафе «Мечта» с полезными завтраками и вкусными обедами корпоративный спорт: йога, беговой клуб, вело-сообщество и другие тренажерный зал в офисе детские дни и подарки программу материальной помощи в различных жизненных ситуациях социальные проекты (раздельный сбор мусора, фандоматы, благотворительные ярмарки и волонтерские акции)

Location: Москва Ищем креативных и энергичных full stack инженеров по функциональному тестированию для развития процессов контроля качества и автоматизации тестирования. Мы – трайб (группа, состоящая из бизнес- и ИТ-команд), занимающийся управлением рисками корпоративно-инвестиционного бизнеса Сбера, для чего мы разрабатываем и развиваем современные информационные системы. В трайбе более 800 человек. Ищем человека в группу, ответственную за продукт "Риск-решения: глобальные рынки и страны", в которую входит 90 человек. Наши решения помогают клиентам – юридическим лицам пользоваться различными банковскими продуктами, а Банку – соблюдать нормативы и выстраивать эффективные бизнесы. Перед нами стоят цели технологической трансформации значимых для бизнеса систем. Ищем опытного инженера по автоматизации тестирования, готового применять самые передовые подходы к АТ с применением ИИ.     В работе старательно избавляемся от рутинных операций за счет комбинирования автоматизации, передовых подходов и технологий, использующих всю мощь искусственного интеллекта. В работе придерживаемся принципов открытого доверительного взаимодействия, взаимной помощи и командной работы, максимального раскрытия потенциала каждого члена команды. В работе мы используем: ● C#, PostgreSQL ● REST API, Kafka, DropApp ● АТ: Java, Junit 5, Spring, Allure TestOps ● Git, Jenkins, DPM, BitBucket, Nexus, Swagger ● jira, Confluence ● DevOps, Agile-принципы Обязанности **Вам предстоит:** ● Провести AI-PDLC трансформацию функции тестирования с переходом на автономные решения c применением AI инструментов ● Планировать, разрабатывать и выполнять новые автоматические функциональные тесты для повышения качества решения ● Поддерживать и развивать инфраструктуру автоматизации тестирования ● Строить сложные тестовые модели и гибко управлять их изменениями на основе зависимостей ● Участвовать в развитии процессов тестирования и качества продукта Требования **Ожидания от кандидата:** ● Навыки промышленного использования технологий искусственного интеллекта в решении задач ● Опыт в функциональном тестировании от 6 лет, умение выстраивать и улучшать процессы контроля качества на основе метрик и лучших практик ● Экспертные знания Core Java, опыт разработки и поддержки фреймворков и средств автоматизации тестирования ● Опыт работы со стеком: JUnit 5, Spring Framework, Spring Data JPA, Hibernate. Готовность обучать коллег принципам автоматизации тестирования ● Умение настраивать инфраструктуру автоматизации тестирования для запусков и анализа прогонов (Jenkins, Allure, Jira API) ● Умение выполнять проверки для Rest API, Kafka, GRPC и навык обучения этому. ● Навыки использования инструментов тестирования интеграционных решений: эмуляторов, заглушек ● Умеете организовывать процесс автоматического тестирования, включая декомпозицию задач, разработку и отладку, code review **Будет плюсом:** ● Практический опыт использования технологий AI: MCP, skills, SDD, LLM as a Judge, RAG, agentic coding ● Опыт тестирования систем банков ● Опыт работы с языком Groovy и поддержки CI/CD pipeline ● Опыт настройки тестового окружения (Openshift, DropApp) ● Быстро обучаетесь новому, высоко мотивированы на быстрое и качественное выполнение задач ● Креативны, энергичны и позитивны ● Имеете опыт работы в Agile-командах Условия * гибридный график: 2 дня в офисе, 3 – удалённо (обсуждаемо), после испытательного периода. На испытательном периоде - офис. * ежегодный пересмотр зарплаты, годовая премия * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid THE ROLE As a Staff Data Scientist in the Product Data Science & Engineering team, you'll own end to end science roadmaps for a product domain, partnering with Product, Engineering and Design to frame problems, define success metrics and drive experimentation from discovery through to decision and iteration. You'll lead the measurement strategy for your area, shape how AI is applied to analytics and agentic use cases, and act as a trusted advisor to senior stakeholders on the most complex and ambiguous problems in your space. Beyond your own domain, you'll build reusable analytical assets that get adopted across pods, mentor data scientists coming up around you, and help shape the standards and tooling for the wider data science community at Xero. This is a role for someone who wants their thinking to extend well past their own desk.   THE TEAM Product Data Science & Engineering partners closely with Xero's product and technology functions, driving decision making, experimentation and measurement. The team is moving from a service oriented analytics group into a product building function, increasingly responsible for designing and productionising AI driven analytics experiences, including agentic solutions. Sitting within a design led organisation, the team brings a strong customer and product orientation to everything it builds.   THE TEAM IS CURRENTLY WORKING ON - Defining measurement, evaluation metrics and guardrails for AI powered product features and agentic experiences - Productionising decision, ranking or risk models in partnership with engineering - Building and extending reusable analytical assets, including canonical metrics and experimentation tooling - Establishing patterns for using AI and automation to accelerate the team's own workflows   WHERE AND HOW YOU CAN WORK Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively.   HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR - You bring strong SQL and Python skills alongside a solid statistical foundation, including experimentation and causal methods - Working across Snowflake, dbt and Git feels natural to you, and you're comfortable with CI/CD practices for code - You've productionised models or decision systems alongside engineering teams, whether that's scoring, risk, ranking or propensity work - Influencing senior partners across Product, Engineering and Design comes naturally, and you know how to align people on decision criteria and trade-offs - Mentoring and coaching other data scientists is something you genuinely enjoy, not just a box to tick - A tertiary qualification in a quantitative discipline, along with significant experience in data science or applied science, rounds out your background   Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: San Francisco; Remote (United States); Seattle; New York City Perplexity serves hundreds of millions of queries a month. Every answer, every Perplexity Computer task, and every enterprise deployment runs on production infrastructure owned by the Cloud Infrastructure team: a fleet of Kubernetes clusters across a multi-account AWS estate, private networks that reach hyperscalers and the neoclouds serving our models, and the storage underneath our user data and agentic workloads. We're looking for SREs who treat reliability as a software problem. You'll own compute, networking, and storage at scale and keep production stable while everything built on top of it is changing fast. RESPONSIBILITIES - Own production at scale. Run the compute, networking, and storage foundation behind Perplexity's consumer, Computer, API, and enterprise products, and own its availability, latency, and cost. - Run our Kubernetes fleet. Operate and upgrade the EKS clusters that host web services, search, datastores, and secure sandboxes. Tune scheduling, autoscaling, node lifecycle, DNS, and service networking so clusters stay healthy under bursty, fast-growing load. - Engineer the network. Design and operate VPC architectures, Transit Gateway and PrivateLink connectivity, load balancing, DNS, and egress across accounts, regions, and cloud providers. - Keep data durable and fast. Own the storage layer (EBS, S3, DynamoDB, and the managed databases and caches our services depend on), including performance, durability, backups, and restores that have actually been tested. - Manage everything as code. Run infrastructure through Terraform and CI/CD. Build reusable modules and guardrails, and make every change reviewable, repeatable, and safe to roll back. - Prepare for failures. Define SLOs, build alerts that someone can act on, design for zone and regional failure, and run game days and disaster-recovery exercises that prove recovery works. - Lead incident response. Be on the critical path when things break. Drive incidents to resolution, write blameless postmortems, and land the fixes so the same failure never pages anyone twice. - Scale ahead of demand. Own capacity planning, quotas, reservations, and cost efficiency so product launches and traffic spikes never wait on infrastructure. - Automate away the toil. Build tooling, increasingly agent-driven, that turns provisioning, upgrades, and remediation into self-serve, hands-off workflows for every engineering team. QUALIFICATIONS We expect you to have real depth in most of these: - Deep AWS expertise. You know VPC, IAM, EC2, EKS, ELB, Route 53, S3, EBS, etc. well past the console, including their limits, failure modes, and the bill that comes with them. - Production Kubernetes at scale: cluster upgrades, CNI, CoreDNS, autoscalers like Karpenter, and debugging a misbehaving node at 3 a.m. Writing Helm charts alone doesn't count. - Terraform mastery. You've designed module structures, managed state across many accounts, and run large refactors and imports without taking production down. - Strong networking fundamentals (TCP/IP, DNS, TLS, load balancing, routing). - You write real code in Python, Go, or Rust for automation, tooling, and controllers, and you'd rather automate a runbook than follow it. - Fluency with observability tools like Datadog, Prometheus, or Grafana, and the judgment to turn metrics, logs, and traces into SLOs and alerts that matter. - A track record of leading production incidents and turning root-cause analysis into durable fixes. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Multi-region active-active or failover architectures, and disaster-recovery programs with real recovery targets. - Proxies, service meshes, and kernel-level networking: Envoy, Istio, Cilium, or eBPF. - GitOps and progressive delivery: Argo CD, Flux, or similar. - Enterprise and compliance environments: single-tenant or BYOC deployments, KMS/BYOK, SOC 2 or similar controls. - Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch. - Multi-cloud or neocloud operations (GCP, CoreWeave, or similar). - FinOps: cost attribution, Savings Plans and reservations, and making infrastructure cheaper without making it fragile.

Location: Cyprus; Georgia; Poland; Spain; Serbia; Latvia We are looking for an Engineering Director to own the technology platform behind the GoMining ecosystem. This is a senior leadership role for someone who combines deep engineering expertise with strong product and business thinking. You will own the Platform end-to-end — technology strategy, architecture, engineering organization, roadmap, reliability, delivery, and its impact on the wider business. The Platform powers multiple GoMining products and includes core application infrastructure, authentication and authorization, integrations, shared services, analytics infrastructure, user restrictions, native applications, reliability, and other foundational capabilities. This is not a role where success is measured simply by uptime, delivery, or engineering output. We expect the Engineering Director to understand where technology creates or limits business value, make trade-offs between long-term architecture and immediate commercial priorities, and build a platform that allows the entire company to move faster. Responsibilities Platform Strategy & Architecture Own the technology strategy, architecture, and roadmap for the GoMining Platform. Build scalable shared infrastructure used across multiple products and engineering teams. Define which capabilities should be centralized at Platform level and which should remain within individual product teams. Drive major architectural and technical decisions. Identify scalability and architectural bottlenecks before they become business-critical. Balance long-term platform investments with immediate product and commercial priorities. Reliability & Engineering Excellence Own platform reliability, availability, latency, scalability, and operational performance. Define and improve SLAs, DORA metrics, engineering performance, and incident-management practices. Improve release stability, engineering velocity, and system resilience. Lead post-incident improvements and eliminate systemic reliability issues. Maintain a high engineering bar without unnecessary bureaucracy. Core Platform Capabilities Own shared authentication, authorization, registration, and 2FA infrastructure. Develop common account controls, user restrictions, and security mechanisms. Own integrations and shared backend capabilities required across GoMining products. Develop shared analytics and event infrastructure. Support common infrastructure across web and native applications. Partner with Product, Design, Security, and engineering teams on cross-company capabilities. Product & Business Impact Platform at GoMining is not an isolated infrastructure function. You will work directly with product leaders, General Managers, and C-level stakeholders to understand where technology can unlock growth and where platform limitations are holding the business back. Prioritize engineering initiatives based on technical risk and business impact. Understand how platform decisions affect revenue, conversion, customer experience, and product velocity. Identify technical changes that can unlock meaningful business results. Balance competing priorities across multiple product teams. Make clear trade-offs between speed, scalability, reliability, security, and business value. Measure Platform not only through technical metrics, but through how effectively it accelerates the company. Engineering Leadership Lead and develop the Platform engineering organization. Own team structure, hiring, performance, priorities, and execution. Build a culture of strong engineering ownership and accountability. Stay close enough to architecture and technology to challenge decisions and make informed trade-offs. Develop strong technical leaders within the team. Raise the technical and execution bar across the organization. AI-First Engineering Actively use AI tools and agents in your own work. Introduce AI-assisted workflows across engineering, specifications, QA, analytics, and operations. Identify opportunities to automate repetitive engineering work. Use AI to increase engineering velocity and quality. Build a team where AI becomes part of the engineering operating model. Requirements Experience as an Engineering Director, Head of Engineering, Head of Platform, VP Engineering, CTO, or in a comparable senior engineering leadership role. Strong technical background and the ability to engage deeply in architecture and engineering decisions. Experience building or operating complex platforms, shared services, or infrastructure used by multiple products or engineering teams. Proven experience leading engineering teams and delivering complex cross-functional initiatives. Strong understanding of distributed systems, high-load environments, reliability, scalability, incidents, and security. Experience with authentication, authorization, integrations, identity, payments infrastructure, or other shared platform capabilities. Strong product and business mindset — you understand not only how something should be built, but why it matters. Ability to prioritize based on business impact rather than technical complexity alone. Experience working directly with senior product, business, and executive stakeholders. Strong data-driven approach to engineering and decision-making. Hands-on experience with modern AI tools and agents. Experience in fintech, payments, crypto, marketplaces, gaming, or another high-scale technology environment is a strong advantage. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: Remote; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Preferable to have someone near one of our offices in NYC or San Francisco, but open to hiring around the US for the right candidate. Join the frontier of shaping generative AI video and its legal landscape as an early lawyer at Runway wearing multiple hats. As AI Product & Partnerships Counsel, your mission is to enable the company to ship better products faster and accelerate product and data partnerships and other go-to-market deals. You are a self-starter who thrives at getting things done in fast-paced, unstructured environments. You have a passion for building scalable initiatives across our product and commercial legal workstreams. You will serve as a strategic partner to product, engineering, partnerships, sales, marketing, and the Runway Executive Team. Comfort working within a highly technical, rapidly evolving area of the law is a must. WHAT YOU’LL DO - Become a go-to advisor for product legal matters, from design to launch, by providing pragmatic, product-motivated advice - Accelerate AI product development and integrations by building playbooks and streamlining legal review of partnership deals, including data partnerships, IP and model licensing, procurement, reseller, and marketplace agreements - Accelerate AI product adoption by closing deals with Runway’s strategic partners and customers. These include B2B SaaS customer contracts for our generative AI SaaS platform and APIs, DPAs, and order forms. - Dive into the technical aspects of our generative AI products to learn them inside and out, to inform your advice to the business - Closely follow (and even shape) technical, legal, and policy developments in AI and translate them into practical product guidance - Implement practices allowing our legal team to scale our impact on the business, including enablement, self-serve resources, and AI-enabled automation WHAT YOU’LL NEED - 6+ years of relevant experience, including in-house experience at a fast-paced technology company - Experience advising product development leaders and executives across a broad range of issues, especially IP and privacy - Experience closing partnership and go-to-market deals, such as data partnerships; IP and model licensing; robotics, hardware, and compute agreements; reseller; and other partner, customer, and vendor deals - Experience providing practical recommendations to senior leaders with limited time and information - Sound judgment in ambiguity: track record of gathering key information quickly and helping the business make smart decisions - Deep sense of ownership, whether you're advising our CEO on a novel legal issue or testing your new AI-enabled workflow for the nth time - Bias for action: why put something off if you can do it now? - Demonstrated interest in AI, creative tools or both - J.D. and admission in good standing with at least one state bar NICE TO HAVE - Generative AI models and agentic workflow understanding and interest - Experience closing strategic, IP-heavy partnerships - Experience in B2C and B2B industries and in product-led and enterprise businesses - Experience closing B2B SaaS customer deals - Big Law and/or hypergrowth tech startup experience Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: United States Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Counsel, Commercial Transactions to join Webflow's Commercial Legal team. This is a hands-on, high-variety role. One day you're closing an enterprise MSA at quarter-end. Next you're negotiating a reseller agreement, structuring terms for a new technology partner with our BD team, tightening our API and marketplace terms, or updating a playbook after closing a complex deal. You'll own a steady flow of deals from start to finish and be the main POC to our impactful and growing Corporate GTM team, and you'll be the person the team counts on to jump in wherever the business needs it most. You'll work closely with Sales, Partnerships, RevOps, Procurement, Finance, Product, Security, and Privacy to get deals done and counsel our internal stakeholders with sound, risk-balanced judgment. You'll also help scale Webflow's partner ecosystem and keep our contracting frameworks current as Webflow builds out agentic and AI-powered capabilities. This role suits a commercially pragmatic lawyer who knows which points matter, trades the rest well, and is energized by the pace and ambiguity of a high-growth, sales-led company. ABOUT THE ROLE: - Location: Remote-first (United States) - Full-time - Permanent - Exempt - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - United States (all figures cited below are in USD and pertain to workers in the United States) - Zone A: $183,300 - $220,000 - Zone B: $171,700 - $206,000 - Zone C: $161,700 - $194,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for an existing vacancy - Reporting to the AGC, Head of Commercial Legal As a Senior Counsel, Commercial Transactions you’ll: - Independently negotiate and close a high volume of customer agreements across SMB, mid-market, regulated, and large enterprise segments, including MSAs, Order Forms, DPAs, SLAs, NDAs, and AI addenda. - Support Webflow's partner ecosystem end to end: draft and negotiate agreements with agency and solution partners, technology and integration partners, resellers and channel partners, and referral partners, including program terms, co-selling and co-marketing, revenue share, and referral fees. - Work with Partnerships and BD teams to structure, launch, and scale partner programs, keeping partner-facing templates, flow-downs, and program terms aligned with our customer paper. - Advise on API, developer, and marketplace terms (including terms for app developers and template creators), working with Product so our terms match how our platform and AI features actually work. - Review and negotiate vendor agreements, including SaaS, AI-enabled tools, and services, in partnership with Procurement, Security, and Privacy. - Maintain and improve templates, playbooks, fallback positions, and enablement materials so deal teams can handle routine issues themselves. - Serve as a go-to escalation point and provide hands-on training and enablement for Sales, Partnerships, and Deal Desk, with clear, practical guidance that weighs revenue impact, risk, and precedent. - Pinch-hit across the team: cover colleagues' deals, get in the trenches with our Trust & Safety team on Security and Privacy issues, and roll up your sleeves as the business evolves. - Use AI tools and our contracting stack to speed up your end to end work product, with proper guardrails for accuracy, reliability, and confidentiality. ABOUT YOU: Requirements: - Admitted and in good standing in at least one U.S. jurisdiction. - 7+ years of post-qualification experience, including a combination of law firm training and at least 2 years in-house supporting revenue-generating teams in a hyper-growth, fast-paced tech environment. - A demonstrated track record of independently drafting, negotiating, and closing B2B SaaS/PaaS agreements, including DPAs and privacy terms, as well as vendor and partnership agreements, in close partnership with Sales, Procurement, and other cross-functional stakeholders. - Hands-on experience supporting a partner ecosystem, such as channel/reseller, referral, technology/integration, agency, or marketplace programs. You’ll thrive as a Senior Counsel, Commercial Transactions if you: - Are a low-ego team player that likes to roll up your sleeves and jump in wherever needed, whatever the scope or visibility of the work. - Are commercially pragmatic: you can secure the best overall deal for Webflow without winning every point, prioritizing what matters and trading the rest. - Understand how partner economics and incentives work, and can design terms that scale across a program rather than one-off deals. - Bring growth-enabling, risk-balanced judgment and know when to escalate. - Are comfortable being uncomfortable: you make sound calls with incomplete information and adapt quickly as priorities shift. - Are AI-fluent and systems-savvy, with hands-on experience in a CLM (Ironclad or similar), DocuSign, Salesforce, Google Workspace, and Slack. - Communicate plainly and can coach sales reps, partner managers, and other stakeholders to handle routine issues on their own. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Afton, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You are a commissioning leader who has taken large-scale, mission-critical data center facilities from equipment acceptance through energization, functional performance testing, and integrated systems testing, and who has done it across multiple facilities at once. You understand the electrical, mechanical, and controls systems well enough to challenge a test script, read a trend log, and know when a result does not prove design intent. You understand the commissioning process well enough to adapt it, not just follow it, and you can rebuild the test sequence when conditions change. That includes authoring the MOPs and risk controls for completing IST and load-based validation after early turnover, in live or partially occupied environments, without lowering the performance requirements the original plan was designed to prove. You lead teams from the front, hold contractors, OEMs, and third parties to a high standard, and refuse to let schedule pressure compromise a readiness gate. You are equally comfortable on the data hall floor with a startup technician and in the conference room briefing senior leadership on readiness, risk, and forecast. You believe the digital economy depends on infrastructure that is proven before it is energized for customers, and you take ownership of making that proof rigorous. What You'll Do: As Senior Manager, Commissioning at Galaxy's Helios campus in Afton, TX, you will lead all commissioning efforts across the campus on behalf of Galaxy as owner and developer. You will report to the VP, Campus Construction Manager and manage a team of three Commissioning Managers, each assigned to a data center facility. You will work closely with the general contractor's on-site team and Galaxy's third-party commissioning agent, and you will partner with Construction, Pre-Construction, Design Engineering, and Operations to ensure every facility is installed, tested, and proven to design intent, and handed to operations ready for customer service. You will set the commissioning standard for the campus and hold every facility to it. Key Responsibilities: Own Campus Commissioning: Serve as Galaxy's single point of accountability for commissioning across the Helios campus, from design intent review through Level 1-5 commissioning, integrated systems testing (IST), and turnover to operations. Set the campus-wide standards and quality bar. Lead the Commissioning Team: Manage three Commissioning Managers, each embedded at a data center facility. Standardize methods and reporting, balance resources across facilities, and develop talent. Define and Enforce the Commissioning Plan: Own the campus commissioning plan and its alignment to the Owner's Project Requirements and Basis of Design, including acceptance criteria, test standards, and readiness gates. Ensure these are written into GC, trade, and OEM scopes. Validate Testing and Design Intent: Review and approve test scripts, sequences of operation, and IST scenarios across critical power, mechanical cooling, and BAS/EPMS controls and telemetry. Ensure testing proves design intent, redundancy, and failure-mode response. Drive Execution with the General Contractor: Integrate commissioning into the Primavera P6 master schedule and work daily with the GC's commissioning lead and trade partners to confirm readiness, resourcing, and OEM startup support. Hold the GC accountable through readiness reviews, deficiency tracking, and commercial remedies. Direct the Third-Party Commissioning Agent and Issue Closeout: Manage the scope and performance of Galaxy's third-party agent, challenge findings, and maintain a campus-level issues log. Drive every item through root cause, corrective action, and retest to closure. Coordinate Energization and OFCI Equipment: Plan utility energization and load bank testing, enforcing safe work during energized testing in partnership with EHS. Align OFCI equipment delivery, factory testing, and manufacturer startup with the commissioning sequence. Adapt the commissioning sequence and author MOPs to complete Level 4-5 and IST activities after early data hall turnover, without lowering acceptance criteria. Deliver Operational Readiness and Customer Acceptance: Partner with Galaxy Operations and customer delivery teams on documentation, training, operating procedures, witnessed testing, and formal turnover, ensuring each facility meets acceptance criteria at handoff. Report Readiness and Standardize: Provide candid readiness reporting to the VP and senior leadership, and feed lessons learned into design standards, specifications, and Pre-Construction planning. Validate Controls, BAS/EPMS, and Telemetry: Ensure the BAS, EPMS, and associated controls are commissioned as a system, not just as individual points lists. Verify point-to-point integrity, alarm and trend configuration, and operator visibility across all critical power and mechanical systems, including through failure scenarios such as loss of utility, loss of a controls network or server, communication failure, and transfer events. Confirm that telemetry remains accurate and actionable so Operations can see, diagnose, and respond to any failure while redundancy is maintained. What We're Looking For: Bachelor's degree in Electrical or Mechanical Engineering, or a related discipline, or equivalent experience. 10+ years of experience commissioning mission-critical facilities, including 5+ years on large-scale data centers, with at least 3 years in a leadership role directing commissioning through Level 5 / IST. Demonstrated success leading commissioning across multiple concurrent facilities on a single campus. Experience managing and developing commissioning managers or engineers. Deep technical knowledge of critical power systems, including medium- and low-voltage distribution, protective relaying, UPS, batteries, generators, and transfer systems. Deep technical knowledge of mechanical cooling systems, including chilled water plants, heat rejection, air handling, pumps, and associated controls. Working knowledge of BMS, EPMS, and SCADA architectures, sequences of operation, and fire and life safety system integration. Experience developing, executing, and witnessing IST, including failure-mode and fault scenarios. Familiarity with ASHRAE Guideline 0, NETA acceptance testing standards, NFPA 70E, and NFPA 110. Experience directing GC commissioning teams and third-party commissioning agents, with strong command of test documentation, issue tracking, and P6 schedule integration. Familiarity with Procore, Primavera P6, Bluebeam, SharePoint, and commissioning management platforms. Full-time, on-site presence at Helios (Afton, TX) Preferred: Professional Engineer (PE) license or commissioning certification (e.g., CxA, CCP, BCxP), prior owner-side or owner's representative experience, and OSHA 30. What You Bring: A track record of leading and developing high-performing technical teams. The conviction to hold readiness gates under schedule pressure, backed by data and clear communication. Excellent communication skills and the ability to influence technical and executive stakeholders. Sound judgment under pressure and a bias toward early, honest escalation. A commitment to safety, rigor, and executional excellence. A passion for building world-class infrastructure that supports the growth of the digital economy. What We Offer: Competitive base salary and discretionary bonus Paid Time Off Company-paid health and protective benefits for employees, partners, and other dependents Company Paid Holidays (14) 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Headspace Opportunities to learn about the Crypto industry Free daily snacks and daily meals Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.