Вакансии

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a manager of Applied AI Engineers for Anthropic's Megas segment, you will lead a team of deeply technical engineers embedded with our largest and most strategic accounts. These companies are partner-customers: they are among our biggest revenue drivers and also some of our most important go-to-market distribution channels. Each one consumes Claude to transform its own business and distributes Claude through its platforms and marketplaces. Your team works hands-on with their product and engineering organizations as they build on Claude: co-designing complex technical solutions, advising on architecture, developing evaluation frameworks, and guiding them through the most advanced implementation patterns for LLMs. You will hire, coach, and grow this team while staying close enough to the technology to set a high bar for engineering judgment. Your engineers work in account-aligned pods alongside Applied AI Architects, and you'll partner closely with pod leads, Mega Sales, Partnerships, Product, and Research. You'll guide your team from technical discovery through production deployment, turn wins at one Mega into reference architectures and patterns that compound across the others, and channel Mega-driven requirements back into Anthropic's product and research roadmap, all while maintaining our high standards for safety and reliability. This is a fast-moving space at the frontier of what's possible with LLMs, and you'll help define how we scale technical impact across our most important relationships. Responsibilities Build, coach, and grow a team of Applied AI Engineers serving Mega accounts: hire strong technical builders, develop them through structured feedback and clear competency expectations, and create scalable onboarding for a customer-facing technical role. Staff engineers into account-aligned pods alongside Applied AI Architects, balancing deep account continuity with flexibility to move expertise where the segment needs it most. Set performance goals aligned with each Mega's technical account plan and the segment's consumption objectives, and establish the metrics, reporting cadence, and dashboards that keep pod leads and cross-functional stakeholders informed on team health and impact. Serve as a senior technical advisor to Mega product and engineering leaders as they deploy production Claude workloads: guiding architecture design, evaluation strategy, and advanced prompting, agentic, and implementation patterns from discovery through deployment. Lead hands-on co-build initiatives with Mega engineering teams, from prototypes and pilots to production deployments, in support of each account's joint roadmap with Anthropic. Help navigate the partner-customer duality: support both direct consumption and the distribution of Claude through Mega platforms and marketplaces, and exercise sound judgment about what we build together and share. Act as a technical escalation point for your team's accounts, and partner with pod leads and Mega Sales to sequence technical work for maximum customer value. Build shared assets across pods, including reference architectures, agentic patterns, and eval frameworks, so that what one pod learns benefits every Mega account. Collaborate with Product and Research to surface Mega-driven requirements with the right weight and context, advocating for high-impact product changes without becoming a feature-request pass-through. Champion scalable public and internal assets documenting the latest LLM prompting, evaluation, agentic, and architecture techniques; contribute thought leadership through talks, blog posts, and white papers. Maintain strong, current knowledge of LLM capabilities, implementation patterns, and the AI product development stack, and translate it into practical guidance for your team and customers. Travel to customer sites for workshops, executive technical sessions, implementation support, and relationship building, and represent Anthropic at conferences and speaking engagements. You may be a good fit if you have 6+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer, Solutions/Sales Engineer, or Technical Product Manager. 4+ years of experience operating in a formal leadership capacity, ideally with some tenure as a manager of managers/multiple teams. Former technical founders are also encouraged to apply. Demonstrated success hiring, coaching, and scaling customer-facing technical teams, ideally in a fast-moving or hypergrowth environment. Experience supporting large, named strategic accounts at a platform, infrastructure, or model company, ideally where the account was both a customer and a partner. Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale, with the technical depth to set engineering standards and review your team's work credibly. Strong programming skills with proficiency in Python or TypeScript and experience building production applications. A track record engaging senior technical stakeholders (CTOs, CPOs, and engineering leaders) and influencing technical architecture and partner product roadmaps. Experience working in or running mixed pre-sales and hands-on engineering teams (for example, SA + FDE or SE + delivery). The ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems. A high-cooperation mindset for cross-organizational collaboration across Sales, Partnerships, Product, and Research, balancing competing priorities with integrity. Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong candidates may also have Background at a hyperscaler, foundation model lab, or large ISV in a strategic-accounts or alliances technical role. Experience with marketplace, embed/OEM, or co-sell motions. Prior forward-deployed engineering leadership. Experience leading technical teams through periods of rapid scale, balancing immediate execution with durable, long-term architectural and platform decisions. Experience coaching engineers from purely technical roles into customer-facing, advisory work. Executive briefing and public speaking presence. Deadline to apply None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We are looking for a Head of AI Native Operations to build the autonomous systems that run Supabase. Supabase is building an AI-native internal operating system, where agents carry the operational load end to end. We are standing up a new central team to build that platform and run it in production. This is the role that leads it, and it is hands-on. You design the architecture, build the first versions of the critical pieces, and are accountable for whether every agent we run is correct, safe, and improving over time. We build rather than buy, and there are no settled best practices for most of this yet, so you will be setting them. You will lead a team of senior individual contributors extending the platform and driving adoption across teams. What You’ll Be Responsible For In this role, you’ll: - Own the agent platform architecture: The harness and orchestration layer and connectors into company systems, shared context and memory, and the path from prototype to production. - Catch regressions before they ship: Model, prompt, and tool changes can’t ship until they pass the evals. When a new model comes out, you know within hours whether to adopt it. - Make every agent observable: Every run and every decision is traced. For any agent at any time, you can answer what it did, why, what it cost, and how its quality is trending. - Own safety and trust: Design the controls that let agents act without a human in the loop: least-privilege credentials, hard policy limits, escalation thresholds, audit logs, sandboxing, and prompt-injection defenses. - Replace workflows, don’t assist them: Pick the workflows agents can fully own today and take them to production. - Turn wins into a platform: Package what works into reusable components, templates, and eval harnesses so other teams can ship their own production agents without starting from scratch. - Build and direct the team: Hire and grow senior ICs, review their designs and pull requests, and hold the quality bar. - Measure what matters: Track workflows automated, eval pass rates, cost per run, and work absorbed against the hiring plan. How You’ll Think A Point of View on Where Automation Wins You have a thesis about how AI and automation change the way a company operates, and it comes from building, not reading. You can look at a business and say which workflows agents can own today, which they will own in 12 months as models improve, and which still need people, and why. You defend that view with evidence from systems you have shipped, and you update it when the evals tell you to. Eval-Driven You don’t trust an agent because the demo looked good. You trust it because it passes a test set of real cases, and you know which cases it fails. When anything changes, your first question is “what do the evals say?” Inversion Thinking Left alone, an autonomous system tends to fail quietly, or people route around it. So the first question about any agent isn’t “does it work on the happy path?” but “how will this break, and how will we know?” The design follows from that answer: what the agent is never allowed to do, what it escalates, and which alert fires when quality drifts. Recursive Thinking Every system you build should produce the evidence that grades it. An agent isn’t done when it works. It’s done when it tells you, without you in the loop, that it has stopped working. Must Have - Hands-on agent building: Have personally designed and built autonomous agent or LLM systems that ran in production and that others depended on. Prototypes, demos, and configuring a vendor tool don’t count. You don’t need to be a career software engineer, but you must have built these systems yourself. - Architecture depth: Can explain how the pieces fit together (orchestration, tool and data access, context and memory, tracing, evals, guardrails, deployment), with opinions on current frameworks. - Security judgment: Have shipped agents that take real actions with real permissions, and designed the controls that made that safe. - A tested point of view: Can argue, with examples from your own builds, where autonomous systems create real business leverage and where they don’t yet. - Technical leadership: Have led senior builders and set the quality bar through design and code review. Strong Signal - Have replaced a human-run business workflow (finance, operations, support, release management) end to end with an autonomous system. - Are native to Git, Markdown, and pull requests, and comfortable reading and writing Python or TypeScript. - Have taken an internal platform from zero to adoption by teams you did not control. - A software engineering background is a plus, but not required. What Success Looks Like - Six months: 20+ autonomous agents in production on the shared platform, each with an eval suite, tracing, and a named owner. - Regressions get caught, not discovered: Quality problems surface in an alert or dashboard before a user reports them. - Workflows replaced, not assisted: Multiple high-volume workflows are fully owned by agents, with humans handling only escalations. - Trusted by default: No agent causes material financial, security, or customer harm, and every agent’s permissions and actions can be audited. - Teams ship their own: At least three teams outside the core team run production agents built on the platform. - Autonomous team: Your two reports work independently, and you spend your time on architecture and review rather than execution. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

About estaie: estaie is the first global infrastructure for extended stays of 15 to 365 days, connecting hotels, holiday homes, channel managers, PMSs, payment providers and other travel systems through intelligent inventory, pricing, search and distribution infrastructure. They operate globally with hubs in Dubai and Riyadh. Their AI layer powers dynamic pricing, agentic lead generation, smart inventory orchestration and autonomous operations. The role: You will build and lead the Forward Deployed Engineering (FDE) team responsible for connecting estaie to the hospitality ecosystem and making integrations work in production. You own team operations, delivery, and quality standards. You are a hands-on engineer, coding in TypeScript, Python, and SQL, reviewing PRs, debugging production issues, and leading by example. You partner with the CTO on architecture and technical strategy and collaborate with product, sales, and partnerships. Tasks: — Lead the FDE team: hire, onboard, grow a remote team, set expectations for ownership, quality, and pace — Manage delivery across multiple partner integrations: prioritise, unblock, keep commitments realistic — Coach engineers on integration design, debugging, clean code, and partner collaboration — Conduct 1:1s, provide feedback, build culture of accountability, async collaboration, and written decisions — Stay hands-on: write production code in TypeScript, Python, SQL; own integrations end to end — Review PRs, set standards for testing, observability, documentation — Participate in partner debugging sessions, production incidents, lead post-mortems — Own the integration platform: design integration patterns (authentication including OAuth 2.0 token refresh, signed webhooks, retries, rate limiting, idempotency, error handling) — Own canonical data model normalising inventory, rates, availability from partners — Ensure no overselling: concurrency control, handling out-of-order/late events, reconciliation jobs — Build shared tooling: mock partner servers, contract tests, onboarding tools, dead-letter queues — Lead AI production use: LLMs and agents for data mapping, operational copilots, automation — Set AI guardrails: structured output with schema validation, human review, eval sets, least-privilege access — Control AI cost and latency with queues, rate limiters, caching, model routing — Own uptime, security, performance of integration layer across regions/environments — Act as senior technical contact for key partners, channel managers, PMSs, payment providers — Feed field learnings back into product and platform priorities Requirements: — 8 to 12 years software engineering experience, including 3+ years leading engineers in high-growth startup, SaaS or platform company — Strong hands-on skills in TypeScript (Node.js / NestJS, React / Next.js), SQL, PostgreSQL, and Python — Experience building and running third-party integrations in production: webhooks with signature checks, idempotency, retries, rate limits, data sync/reconciliation — Solid grounding in distributed systems: transactions, concurrency, queues, event-driven design, out-of-order events, fault tolerance — Production experience with LLMs: evaluation, constraints, cost control — Cloud deployment experience with Docker and CI/CD, ideally on GCP — Experience leading remote, distributed teams with async, written culture — Comfortable running technical calls with external engineering teams and turning them into plans — Bias for action, debugging, documenting, automating, measuring, focus on working products Nice to have: — Hospitality, travel, fintech, marketplace or other integration-heavy background — Hands-on experience with channel managers, PMSs, OTAs, reservation systems, payment gateways — Experience building or leading forward deployed, solutions or integrations engineering teams — Kafka / Redpanda, OpenSearch / Elasticsearch, pgvector, Terraform — Experience in GCC markets, Arabic language skills First 90 days plan: — First 30 days: learn platform and live integrations, ship first production change, meet key partners — By 60 days: own at least one integration end to end, agree shared integration standards with team — By 90 days: have FDE hiring plan running, delivery rhythm trusted by team and partners, clear reliability metrics Conditions: — Fully remote (MENA time zone alignment required) — After one year, relocation assistance to Dubai or Riyadh for the right candidate Tech stack: — Frontend: Next.js, React, TypeScript, TailwindCSS, Laravel, Vue.js — Backend: Node.js / NestJS, Python (FastAPI), REST APIs, webhooks — Data: PostgreSQL (with pgvector), MySQL, Redis, BigQuery, Datastream — Async and events: BullMQ, Pub/Sub, Kafka / Redpanda — AI: Vertex AI (Gemini, Claude), LangChain, embeddings, vector search, agentic workflows — Infrastructure: GCP (Cloud Run, Cloud Build, IAM, Secret Manager), Docker, Terraform, GitHub Actions — Security and edge: Cloudflare (WAF, Zero Trust), OAuth 2.0, JWT — Observability: Cloud Logging, Prometheus, Grafana, alerting, anomaly detection — Integrations: channel managers, PMSs, OTAs, supplier APIs, payment gateways (Stripe, Tamara, Checkout.com), WhatsApp Business API, Twilio

Задачи: — Работать с инженерами и использовать собственные знания для понимания их проблем и улучшения их опыта. — Вносить вклад в внутреннюю платформу разработки (IDP), проектируя, реализуя и поддерживая внутренние инструменты и системы. — Использовать инженерную платформу для поддержки агентного кодирования. — Помогать определять процессы, фреймворки и лучшие практики для разработки. Требования: — Опыт работы бэкенд-разработчиком 5+ лет с TypeScript. — 2+ года опыта реализации безсерверных событийно-ориентированных микросервисных архитектур на базе AWS (Lambda, SQS, SNS, API Gateway и др.). — Опыт реализации пайплайнов с использованием GitHub Actions. — Солидный опыт в автоматизированном тестировании с использованием различных стратегий и парадигм. — Мышление, ориентированное на AI-first разработку; вера в ценность работы не только в кодировании, но и в владении продакшеном и продуктовым подходе, интерес к использованию AI и агентного кодирования для ускорения жизненного цикла разработки. — Мотивация помогать инженерам быть более продуктивными и улучшать их опыт. — Хорошие коммуникативные навыки на английском языке. Условия: — Гибридный формат работы в Белграде. — 25 дней отпуска в год. — Частная медицинская страховка. — Множество командных активностей и бонусов. — Бесплатный доступ к LinkedIn Learning и ежегодный бюджет на личное развитие. — Схема роста прибыли. — Корпоративный телефон (iPhone или Android). — Комфортный офис с 80 парковочными местами. — Отличное оборудование, конкурентная зарплата и разнообразные дополнительные льготы, включая абонемент в спортзал и скидки в местных магазинах.

Требования: — 5+ лет опыта работы на аналогичной должности — Отличное владение JavaScript и/или TypeScript, глубокое понимание асинхронного программирования — Опыт интеграции нескольких источников данных и баз данных, проектирования схем баз данных, поддерживающих бизнес-процессы — Понимание масштабируемого проектирования приложений, автоматизированного тестирования и Git — Отличное знание английского языка — Опыт с Node.js фреймворками, микросервисами, Docker/Kubernetes и опыт в финансовых услугах будет плюсом Задачи: — Разработка высокопроизводительных бэкенд-систем для платежей и трейдинга

Задачи: — Разрабатывать и поддерживать веб-приложения на React 18+ и TypeScript — Применять стейт-менеджеры Redux и Saga/Thunk для управления состоянием приложения — Писать юнит-тесты с использованием vitest — Работать с библиотекой styled-components для стилизации компонентов — Взаимодействовать с командой и другими отделами для решения технических задач и улучшения продукта — Участвовать в двухнедельных спринтах и стандартных SCRUM-церемониях Требования: — Опыт работы в роли web-разработчика от 3 лет — Опыт разработки приложений на React 18+ и TypeScript не менее 2 лет — Знание стейт-менеджеров Redux и Saga/Thunk — Понимание принципов REST API и клиент-серверного взаимодействия — Умение писать юнит-тесты с использованием vitest — Знание библиотеки styled-components — Умение работать с чужим кодом — Хорошие коммуникативные навыки и способность работать в команде

Вакансия Frontend Product Engineer предполагает разработку пользовательского интерфейса продукта с использованием React и TypeScript. В работе важное место занимает интеграция с REST API, а также применение современных UI/UX подходов и дизайн-инструментов, таких как Figma. Кандидату предстоит заниматься созданием и поддержкой компонентов с использованием библиотек shadcn/ui, Ant Design и Radix UI. Особое внимание уделяется разработке, ориентированной на искусственный интеллект, а также полному циклу владения функционалом — от проектирования до внедрения и поддержки.

Задачи: — Разработка и поддержка автотестов на Playwright (TypeScript/JavaScript) — Тестирование новых функций и участие в процессе контроля качества — Создание и выполнение тест-кейсов — Анализ результатов тестирования и оформление баг-репортов — Проверка соответствия продукта требованиям — Использование AI-инструментов (например, для генерации тестов, анализа сценариев и ускорения разработки) Требования: — Базовые знания JavaScript или TypeScript — Понимание HTML и CSS — Опыт работы с Git — Желание развиваться в области разработки и качества ПО — Будет плюсом: знакомство с Playwright или другими инструментами тестирования Условия: — Частичная занятость (20+ часов в неделю) — Гибкий график и полностью удаленный формат — Практический опыт работы над реальным продуктом — Погружение в процессы разработки и качества ПО в стартапе — Опыт работы с современными инструментами автоматизации и AI — Возможность дальнейшего трудоустройства по результатам стажировки — Код-ревью от опытных разработчиков — Возможность пополнить свое портфолио — Рекомендательное письмо — Улучшение английского языка — Работа в небольшой, сильной и быстро развивающейся команде

Задачи: — Участие в проработке, планировании и оценке задач — Участие в проектировании и разработке архитектуры приложений — Ревью кода Требования: — Хорошее знание JavaScript / TypeScript — Опыт разработки SPA от 3х лет на React, Redux/MobX — Умение писать поддерживаемый код — Способность аргументировать выбор технологий и подходов в разработке — Умение работать с макетами (например, в Figma) Будет плюсом: — Опыт работы с дизайн-системами, в частности, с Ant Design — Понимание устройства backend и инфраструктуры Условия: — Полная занятость — График: 5/2 — Формат работы: гибрид

Требуется frontend-разработчик, который будет заниматься созданием и проектированием пользовательских интерфейсов для продуктов, используя React и TypeScript. В работе предполагается применение REST API, а также внимание к UI/UX-дизайну с использованием инструментов Figma, shadcn/ui, Ant Design и Radix UI. Кандидат должен уметь самостоятельно разрабатывать архитектуру приложений, работать над пользовательским опытом и интеграциями, а также использовать AI-инструменты в процессе разработки.

Задачи: — разработка фронтенда для проекта по бронированию отелей через приложение — участие в проекте на старте, возможность влиять на архитектуру Требования: — опыт работы с React, TypeScript, SPA, PWA, REST API, axios, HTML5, CSS3 Условия: — проект на старте, возможность влиять на архитектуру

Задачи: — Создавать end-to-end UI автоматизацию тестов для веб-приложения Occibo — Писать тест-планы, тест-кейсы и регрессионные наборы для основных пользовательских сценариев — Переводить требования продукта в автоматические проверки, включая крайние случаи — Сотрудничать с командой разработки по стратегиям тестовых данных и стабильным селекторам — Запускать тесты в CI, отслеживать ошибки и поддерживать надежность тестового набора — Использовать AI-инструменты для ускорения создания, анализа и поддержки тестов Требования: — Обучение в области компьютерных наук, программной инженерии или смежной области — Опыт работы с хотя бы одним фреймворком автоматизации тестирования (предпочтительно Playwright или Cypress) — Уверенное владение JavaScript или TypeScript и Git — Понимание CI-пайплайнов и надежного дизайна тестов — Интерес к AI и опыт использования AI-инструментов — Свободное владение английским языком Желательно: — Опыт автоматизации UI в SaaS — Опыт API тестирования (Postman или REST клиенты) — Проживание в Берлине и возможность иногда работать в офисе Условия: — Обязательная стажировка в рамках учебной программы — Стажировка без оплаты — Работа в небольшой удаленной команде — Возможность получить практический опыт с реальным продуктом — Прямое взаимодействие с основателем и командой разработки — Портфолио выполненных QA проектов Как подать заявку: — Отправить сообщение с резюме, кратким сопроводительным письмом (предпочтительно), ссылкой на лучший проект, известным тестовым фреймворком, доступностью и датой начала — Ожидается старт в октябре 2026 года

Задачи: — Разработка и оптимизация системы сборки фронтенда — Настраивание и поддержка процессов CI/CD и деплоя — Создание и развитие внутренних библиотек Требования: — Фронтенд-разработка от 5 лет — Глубокие знания React — Знание TypeScript — Навыки оптимизации сборок — Настройка инструментов (Webpack/Vite)

Задачи: — Проектирование и разработка сложных UI-фич на TypeScript + React (Next.js) — Участие в технических решениях: выбор стеков, оптимизация производительности, контроль архитектуры — Code-review и менторство: помогать коллегам расти, делиться экспертизой, удерживать высокий уровень кода — Взаимодействие с backend- и дизайн-командами: уточнение API, обсуждение UX, совместный delivery — Интеграция с платформенными сервисами и CI/CD-конвейером — Работа с техдолгом: инициирование и выполнение улучшений, автоматизация рутин — Тестирование: написание unit/e2e-тестов (Jest, Playwright) и обеспечение покрытия критического функционала Требования: — Уверенный TypeScript / JavaScript 5+ лет — Опыт продакшен-разработки на React (hooks, SSR/CSR, state-менеджмент) — Хорошее знание Node.js: отладка, профилирование, server-side рендеринг — Понимание архитектурных паттернов, SOLID, чистого кода — Опыт оптимизации загрузки и производительности — Навыки написания автотестов, работы с Cypress/Playwright — Умение разбираться в продуктовых требованиях и предлагать технические решения — Готовность брать ответственность за результат, предлагать улучшения, доводить задачи до продакшена Условия: — Влияние на продукт и технические решения — твоё мнение важно — Современный, хорошо подобранный стек без legacy-балласта — Прозрачные процессы, адекватное планирование и mature CI/CD — Удаленный формат, полная занятость с гибким графиком — Конкурентная зарплата

Задачи: — Реализовывать большие (и маленькие) стратегические задачи вспомогательные инструменты для приложения ИВИ для Smart TV-платформ — Рефакторить и оптимизировать — Тестировать свой код — Участвовать в улучшении процессов — Изучать новые технологии на предмет применения их на платформе Требования: — Знаете и понимаете базовые принципы разработки ПО (SOLID, ООП/ФП и т.д) — Умеете работать с технологиями из нашего стека и знаете как эффективно использовать JavaScript, TypeScript, React, Redux, Docker и т.д. — Умеете работать с legacy-кодом — Умеете искать решения для сложных технических задач и продуктовых фич — Умеете оценивать сроки своей работы — Понимаете и разделяете ценности и принципы Agile и командной работы — Умеете слушать, договариваться и помогать — Ставите цели команды в приоритет — Обладаете адекватным уровнем перфекционизма и получаете удовольствие, когда миллионы пользователей ежедневно пользуются тем, что вы создали Условия: — Полная занятость — График: 5/2 — Формат работы: гибрид (Москва)

Задачи: — Поддерживать и развивать фронтенд существующих сервисов платформы — Анализировать текущую кодовую базу (React, Vue) — Дорабатывать UI, исправлять баги и оптимизировать производительность — Проводить рефакторинг и унификацию фронтенда (в том числе возможный переезд на единый стек) — Интегрировать фронтенд с бэкендом через REST API — Участвовать в CI/CD-процессах (сборка, деплой фронтенда) Требования: — Опыт коммерческой разработки на React (уровень Middle) — Опыт коммерческой разработки на Vue (уровень Middle-) — Уверенное знание JavaScript (ES6+) и TypeScript — Понимание подходов к построению SPA: компонентный подход, state management (Redux/Vuex/Pinia), роутинг — Опыт работы с REST API и асинхронными запросами — Понимание принципов CI/CD (сборка, деплой, пайплайны) — Опыт работы с системами сборки (Webpack, Vite) — Готовность быстро погружаться в незнакомый код и легаси — Умение работать в команде, коммуникабельность — Желателен опыт работы с PHP Условия: — Полная занятость — Оформление по трудовому договору — График работы 5/2 — Формат работы: на месте работодателя, удалённо или гибрид (Москва)

Задачи: — разрабатывать и оптимизировать 3D-визуализацию на WebGPU; — работать с LuciadRIA и большими наборами 3D-данных; — интегрировать rendering pipeline и повышать производительность; — взаимодействовать с frontend/backend-командами (Angular, Node.js, TypeScript); — участвовать в архитектурных решениях и менторстве. Требования: — сильные знания JavaScript / TypeScript; — опыт работы с 3D-графикой; — практический опыт работы с WebGPU / web-based 3D; — опыт работы с LuciadRIA будет преимуществом; — понимание оптимизации сложных 3D-сцен.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon About the Deal Desk Team The Deal Desk team is a critical component of the Finance function, serving as a trusted advisor to critical internal stakeholders as deal architect working on structuring, negotiating, approving and closing large complex commitment deals while balancing margin preservation, compliance, and velocity. We are committed to building a data-centric and AI-augmented Deal Desk that leverages predictive analytics and automated workflows to optimize pricing in real-time and automate routine approvals, allowing for deeper strategic focus. Role Summary As a Deal Intelligence Analyst, you will be the analytical engine driving our transition to a data-centric and AI-augmented Deal Desk. Sitting within the Finance function, you will design the data systems and executive dashboards that allow our deal architects to analyze complex deal terms, protect margins, and close large, complex commitment deals with unprecedented velocity. This role is designed for a "full-stack" analyst. You won't just be querying pre-cleaned data—you possess the technical skills to build the pipelines that feed your insights. You will leverage Cloudflare's Developer Platform (Workers, R2, D1, Workers AI) alongside standard data warehousing tools to extract raw CRM and CPQ data, integrate it into AI workflows, and deliver actionable insights that directly impact margin preservation and our global growth. What you’ll do Build Advanced Dashboards & Analytics: Design and maintain executive dashboards and self-serve reporting systems that provide real-time visibility into deal terms, discount thresholds, win/loss rates, and margin performance across all regions. Transform Ideas into Reality: Work with stakeholders and help them refine their ideas and goals into queries that we’ll automate. Drive Strategic Margin Analysis: Partner closely with Finance, Infrastructure and Deal Desk leadership to dive deep into historic and active pricing data, uncovering insights that ensure our quoting strategies consistently align with margin preservation goals. Develop Data Pipelines: Apply your data engineering skills to build and maintain data cleansing tools that help refine data from Salesforce, CPQ, and billing systems, transforming it into clean, usable semantic models. Power AI Workflows: Assist in integrating structured deal data into Deal Desk tools to help automate routine approvals and surface real-time pricing optimizations to deal managers. Data Storytelling & Enablement: Translate complex datasets into clear, actionable narratives for non-technical stakeholders, empowering the Deal Desk team to use your data products for faster, data-driven negotiations. Required Skills & Experience 3-5+ years of professional experience in Data Analytics, Business Intelligence, or a technical RevOps role, with a strong emphasis on full-stack data problem solving. Experience incorporating data into AI workflows, utilizing LLM orchestration frameworks, or building predictive models. Proven experience designing analytical data models; domain expertise in financial and SaaS metrics (e.g. margins, discount rates, ARR, NRR) is a strong plus Strong programming skills in Python (or TypeScript) with hands-on experience building ELT/ETL pipelines, interacting with APIs, and cleaning raw data. Experience designing analytical data models specifically tailored for financial and SaaS business analysis (e.g., margins, discount rates, ARR, NRR). Familiarity with cloud data platforms and an interest in edge computing/serverless architectures (Cloudflare Workers, R2, D1). Expertise, or interest in learning, CRM data structures (especially Salesforce custom objects), CPQ complexities, and the quote-to-cash lifecycle. Solid communication skills with the ability to bridge the gap between technical data systems and operations. Nice-to-Have Skills Background working closely with Deal Desk, Finance, RevOps or Sales Strategy teams at a high-growth SaaS or technology company is a plus Strong programming skills in Python (or TypeScript) with hands-on experience building ELT/ETL pipelines, interacting with APIs, and cleaning raw data. SQL and deep proficiency in modern data visualization and BI platforms (e.g., Tableau, Looker, Sigma, PowerBI) to build intuitive executive reporting. Familiarity with data transformation frameworks and orchestration tools (like Airflow). Familiarity with Google Cloud Platform or other analytics databases Compensation Compensation may be adjusted depending on work location. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.