Вакансии

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Our Corporate teams support the company’s performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo’s Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo’s success. ROLE We're looking for an IT Administrator - AI & Cybersecurity to join our Corporate team. In this role, you'll own the intersection of IT operations, cybersecurity and AI platform administration, reporting directly to the IT Manager. IT & SaaS Administration - Administer the core SaaS stack - Okta (SSO, SCIM, lifecycle, policies), Google Workspace, Slack, Notion, GitHub Enterprise Cloud and 100+ applications across multiple legal entities - Own the MDM estate (Jamf and Intune) across macOS, iOS and Windows: enrolment, compliance baselines, patching and disk encryption - Act as the L2/L3 escalation point for internal support, handling endpoint, identity and SaaS incidents that L1 cannot resolve - Automate manual run work through scripting, APIs and AI agents where they genuinely add value Cybersecurity - Drive the identity hardening roadmap: session lifetimes, adaptive and phishing-resistant MFA, privileged access management and admin role reviews - Own OAuth and third-party app governance across Google Workspace and Okta: inventory, risk-scoring and approval workflows - Control SaaS data exposure - publicly and externally shared files, orphaned shares - and build the tooling to support it - Contribute to the ZTNA rollout, geo-based access controls and detection & response alongside the SOC and SIEM AI Platform Administration - Administer enterprise AI platforms (Claude, Google Gemini & Vertex AI, OpenAI and others): tenants, SSO, licences, usage analytics and budget control - Strengthen the AI governance framework: acceptable-use rules, data classification boundaries, DLP and logging - and detect shadow AI usage - Administer connectors, MCP servers and agent integrations PROFILE - 5+ years of experience in IT administration, infrastructure or IT security in a fast-moving, multi-geography environment - Deep hands-on expertise with IdP administration - Okta strongly preferred - and Google Workspace at enterprise scale - Solid MDM experience across macOS and Windows (Jamf and/or Intune) - Demonstrable cybersecurity practice: IAM hardening, SaaS security posture management, OAuth risk and incident response - you have shipped security work, not just studied it - Automation is a reflex: proficiency in scripting (Python, Bash, PowerShell) and working with REST APIs and workflow tools - Practical experience with enterprise AI platforms and a genuine understanding of the risks introduced by models, agents and connectors accessing corporate data - Able to communicate security trade-offs clearly to executives and technical workarounds to developers - Fluent English is required, French is a plus - Nice to have: security certifications (Security+, CISSP, Okta Certified), ZTNA/SASE or SSPM exposure, cloud IAM on GCP or AWS, ITSM platform experience BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Про нас: В нашей ML-команде сейчас 5 человек. Мы работаем над: • AI-агентом для работы с облачным хранилищем и документами; • сервисом извлечения данных из контрактов и счетов; • RAG-базой знаний по Fileforce для клиентов; • системой поиска аномалий в пользовательских логах. В разработке активно используем современные AI-инструменты и кодинговые агенты (Claude Code, Codex) Задачи: • Разрабатывать новые и поддерживать/улучшать существующие проекты (backend+ML+участие в деплое), а также улучшать мониторинг и аналитику запущенных проектов Требования: • высшее техническое образование (диплом потребуется для оформления японской рабочей визы) • 3+ года опыта в Machine Learning; • опыт самостоятельного ведения проектов; • опыт с agentic/RAG-системами будет большим плюсом; • опыт разработки с помощью кодинговых агентов; • интерес к новым AI-технологиям и готовность постоянно разбираться в новых подходах; • английский на уровне свободного чтения технической документации • релевантный опыт с частью стека и способность быстро осваивать новое: LangGraph, DeepAgents, FastAPI, PostgreSQL, ClickHouse, Docker, vLLM, OpenAI API, AWS S3, Langfuse, OpenTelemetry, MCP, Redis, AWS SQS. Ответы на 10 важных вопросов: 1. Данные: работа преимущественно с данными (файлами различных форматов) компаний из хранилища через внутреннее API, AWS S3, Elasticsearch 2. Железо: на текущий момент преимущественно AWS инфраструктура, аренда VM под проекты и доступ к моделям по API. При экономической эффективности - собственное развертывание. Для работы: ПК в офисе, подключение к AWS VM по ssh, простой ноутбук для удаленной работы 3. Масштаб влияния на core-бизнес? Сейчас в компании упор на ML проекты, поскольку наша команда отвечает за все ML проекты, то влияние и высокие ожидания от проектов у руководства. 4. Уровень развития Data Science в компании? Запущено несколько крупных проектов, настроена основная инфраструктура/пайплайны (разработка, интеграция с внутренними сервисами, мониторинг, базовая аналитика, практика работы с кодинговыми агентами и тд), при этом улучшение процессов и вовлечения ML проектов в процессы компании продолжается. 5. Роль дата сайентиста: ДС-ы участвуют в проработке и реализации полного цикла проектов/фичей совместно с бэкенд и фронтенд командами 6. Бэкграунд у вашего руководителя? linkedin https://www.linkedin.com/in/nikita-vasilenko-ds/ 7. Как часто вам будут мешать работать? Daily meetings 15-20 мин + обсуждения прогресса/фичей внутри команды по мере необходимости 8. Карьерный рост: рост по зп возможен в рамках ежегодного планирования бюджета 9. Prod/Research: Prod 90% 10. Функция сервиса или лидера? На данном этапе сервисных функций больше.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Canada, the Base compensation range for this role is $ 164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the US, the Base compensation range for this role is $ 154,445 - $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Задачи: — писать интеграции AI-агентов с корпоративными системами — допиливать внутренние сервисы: авторизация, логирование, личные кабинеты, дашборды — собирать лендинги и продуктовые страницы из готовых блоков под брендбук — делать UI поверх AI-сервисов: дашборды, плагины для мессенджера, обучающие интерфейсы — поднимать сервисы в инфраструктуре компании, привязывать домены, чинить мониторинг — конкретный микс задач под сильные стороны и интересы кандидата Требования: — знакомство с LLM-харнесом (Claude Code / Codex / VS Code + Claude Code extension), понимание контекста, скиллов, sub-agents, MCP — базовый код: умение читать чужой Python / JS / TS-сервис, разбираться и вносить изменения — Linux, Docker, git на уровне уверенного пользования терминалом — самостоятельность в работе, умение декомпозировать задачи — английский на уровне чтения документации — будет плюсом: Next.js, React, TypeScript, Tailwind, shadcn/ui, Python, Node.js, опыт деплоя и работы с CI/CD, Figma, базовое SEO Условия: — формат работы: можно удалённо

Требуется разработчик с опытом работы на Java и Python для участия в проекте, направленном на создание платформы для обработки юридических документов и корпоративных данных. В рамках проекта применяются технологии LLM-агентов, RAG-поиска, MCP-инструментов, а также интеграция с внутренним веб-сервисом, построенным на Java/Spring. Основные обязанности включают разработку backend-сервисов на Python и Java, интеграцию LLM, внешних API и MCP-инструментов, реализацию RAG, embeddings и поисковых функций по документам, создание механизмов проверки результатов моделей, работу с PostgreSQL, Redis и файловыми хранилищами, написание тестов, настройку логирования и мониторинга, а также участие в проектировании решений и выводе функционала в production. Кандидат должен уверенно владеть Python и Java, иметь опыт разработки backend-сервисов и REST API, практические знания LLM или понимание принципов LLM-приложений, опыт работы с PostgreSQL, умение писать тестируемый код и разбираться в существующем коде, а также понимание вопросов безопасности и разграничения доступа к данным. Важна самостоятельность в решении задач и способность взаимодействовать с другими командами. Дополнительным преимуществом будет опыт работы с RAG, embeddings, семантическим или гибридным поиском, разработкой MCP-сервисов или LLM-agent систем, обработкой DOCX, PDF и Excel с использованием OOXML или Apache POI, оценкой качества ответов LLM, опытом в LegalTech, ContractTech или электронном документообороте, а также знание корпоративных или локально развёрнутых LLM. Проект рассчитан до конца 2026 года с возможным продлением на 2027 год, работа удалённая, зарплата от 200 000 рублей на руки.

Проект: Развиваем платформу для работы с юридическими документами и корпоративными данными. В проекте используются LLM-агент, RAG-поиск, MCP-инструменты и интеграция с внутренним веб-сервисом на Java/Spring. Продолжительность проекта: до конца 2026, плюс в планах пролонгация на 27г. Задачи: — Разработка backend-сервисов на Python и Java. — Интеграция LLM, внешних API и MCP-инструментов. — Реализация RAG, embeddings и поиска по документам. — Создание проверок результатов работы модели. — Интеграция с PostgreSQL, Redis и файловым хранилищем. — Написание тестов, настройка логирования и мониторинга. — Участие в проектировании решений и выводе функциональности в production. Требования: — Уверенное владение Python и Java (важно, чтобы кандидат занимался задачами AI на питоне и мог подключать их к решению на джаве). — Опыт разработки backend-сервисов и REST API. — Практический опыт работы с LLM или понимание основных принципов LLM-приложений. — Опыт работы с PostgreSQL. — Умение писать тестируемый код и разбираться в существующей кодовой базе. — Понимание вопросов безопасности и разграничения доступа к данным. — Готовность самостоятельно решать задачи и взаимодействовать с другими командами. Будет плюсом: — Опыт работы с RAG, embeddings, семантическим или гибридным поиском. — Опыт разработки MCP-сервисов или LLM-agent систем. — Работа с DOCX, PDF и Excel, знание OOXML или Apache POI. — Опыт оценки качества ответов LLM. — Опыт в LegalTech, ContractTech или электронном документообороте. — Знание корпоративных или локально развёрнутых LLM. Обязателен неймчек по образцу: Иванов Иван, Уровень - Senior, 1234@mail.ru (не корпоративная), Локация - Россия, Москва, Часовой пояс - (Мск), Опыт работы - 4+ лет.

Location: Tokyo, Japan About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Key Responsibilities Delivery Leadership & Transformation Lead Japan's Professional Services team, managing and coaching a team of Consultants in transitioning from packaged onboarding delivery toward SOW-based implementation and advisory engagements. Oversee delivery quality across both implementation projects and advisory engagements, ensuring customer success throughout the full engagement lifecycle. Champion adoption of Workato's GEARS framework, and evolve delivery methodology to address Agentic AI and Enterprise MCP use cases. Drive continuous improvement of delivery processes, tools, and documentation to support scale and repeatability. Customer Engagement Engage in customer strategy sessions, QBRs, and executive engagements, articulating the business value of Workato's platform and services. Oversee escalation management, working cross-functionally with the account team and Product & Engineering to drive resolution and customer satisfaction. Support pre-sales efforts by clearly articulating the value of professional services and guiding customers through scoping and engagement design. New Services Development – Agentic AI & Enterprise MCP Spearhead the development and launch of Japan-specific services offerings focused on Agentic AI and Enterprise MCP, in alignment with Workato's global product direction. Work with global PS leadership to shape service packages, delivery methodologies, and go-to-market strategies for next-generation offerings. Team & Organization Building Recruit, onboard, and develop talent to build a high-performing, scalable Professional Services team in Japan. Establish clear career frameworks, performance goals, and development plans aligned with Workato's global Professional Services career framework. Foster a culture of accountability, customer focus, and continuous learning. Partner Ecosystem Development Build and manage a Japan partner ecosystem, leveraging SIers and consulting firms as delivery partners and channel partners to extend Workato's reach and delivery capacity. Enable and certify partners to deliver Workato implementations independently, driving scalable customer success across Japan. Collaborate with the Channel and Alliances team to align partner strategy with services growth objectives. Operational Excellence Track and report on key performance metrics including team utilization, customer satisfaction, and engagement health, providing regular updates to Japan and global leadership. Manage resource allocation across the team and partner network to optimize delivery capacity and quality. Contribute to pricing, packaging, and operational planning for Japan PS in collaboration with global teams. Requirements Qualifications / Experience / Technical Skills 12+ years of experience in professional services, technical consulting, or services leadership within a SaaS, iPaaS, or enterprise software company. 5+ years of leadership experience managing technical delivery teams, with a demonstrated track record of building and scaling organizations. Proven ability to build and maintain C-level relationships within Japan's enterprise market, with deep understanding of Japanese enterprise business culture. Strong technical fluency in integration, automation, and emerging Agentic AI / Enterprise MCP technologies — able to engage credibly in architecture discussions and translate complex concepts for executive audiences. Experience managing both SOW-based implementation engagements and advisory/consultative service models. Demonstrated success in building partner ecosystems with SIers and consulting firms in Japan, including partner enablement and co-delivery models. Excellent communication skills in both Japanese and English, with the ability to navigate seamlessly between customer-facing conversations and cross-functional global collaboration. Strong resource management and prioritization skills across a distributed team and partner network. Proactive, self-motivated, and comfortable operating in a high-growth, fast-moving environment with ambiguity. Nice to Have Hands-on experience with Workato or other leading iPaaS platforms (MuleSoft, Boomi, Tray.io, etc.). Familiarity with enterprise applications such as Salesforce, Workday, ServiceNow, SAP, or NetSuite. Experience in pre-sales or technical advisory roles within an iPaaS or automation context. PMP, Scrum, or Agile certification. Prior experience in a high-growth startup or scale-up environment. Track record of driving software expansion through professional services engagements. 職務概要 Workatoは、日本のプロフェッショナルサービス組織を率い、成長させるシニアマネージャーを募集しています。本ポジションは、オンボーディング中心のデリバリーから、Agentic AIおよびEnterprise MCPを軸とした大規模かつ複雑なプロジェクトへ移行する局面における、重要なリーダーシップポジションです。 日本のカスタマーサクセス ディレクターにレポートし、グローバルのプロフェッショナルサービス組織とも連携します。デリバリー品質、顧客経営層との関係構築、パートナーエコシステムの開発まで、日本におけるプロフェッショナルサービス機能全体を統括します。Workatoの次なる成長フェーズに向け、日本におけるプロフェッショナルサービスのあり方を設計・構築する中心的な役割を担います。 主な業務内容 デリバリーリーダーシップと変革 日本のプロフェッショナルサービスチームを率い、コンサルタントのマネジメントおよび育成を行う。パッケージ型オンボーディング支援から、SOW（作業範囲記述書）に基づく導入支援・アドバイザリー案件への移行を推進する。 導入プロジェクトおよびアドバイザリー案件のデリバリー品質を統括し、案件ライフサイクル全体を通じた顧客成功を実現する。 WorkatoのGEARSフレームワークの導入を推進し、Agentic AIおよびEnterprise MCPのユースケースに対応したデリバリー手法へと発展させる。 スケールと再現性を支えるため、デリバリープロセス、ツール、ドキュメントの継続的な改善を推進する。 顧客エンゲージメント 顧客戦略セッション、ビジネスレビュー、経営層向けエンゲージメントに参加し、Workatoのプラットフォームおよびサービスがもたらすビジネス価値を明確に伝える。 エスカレーション対応を統括し、アカウントチーム、プロダクト、エンジニアリングと部門横断で連携して、問題解決と顧客満足の向上を図る。 プロフェッショナルサービスの価値を明確に説明し、スコーピングおよび案件設計を支援することで、プリセールス活動を支援する。 新サービス開発 – Agentic AIおよびEnterprise MCP Workatoのグローバルなプロダクト戦略に沿って、Agentic AIおよびEnterprise MCPに特化した日本市場向けサービスの企画・開発・立ち上げを主導する。 グローバルPSリーダーシップと連携し、次世代サービスのサービスパッケージ、デリバリー手法、Go-to-Market戦略を策定する。 チーム・組織づくり 人材の採用、オンボーディング、育成を通じて、日本で高いパフォーマンスを発揮し、拡張可能なプロフェッショナルサービスチームを構築する。 WorkatoグローバルのPSキャリアフレームワークに沿って、明確なキャリア体系、パフォーマンス目標、育成計画を整備する。 オーナーシップ、顧客志向、継続的学習を重視する文化を醸成する。 パートナーエコシステムの開発 SIerおよびコンサルティング会社をデリバリーパートナーおよびチャネルパートナーとして活用し、日本におけるWorkatoの市場到達力とデリバリー能力を拡張するパートナーエコシステムを構築・管理する。 パートナーがWorkato導入を自律的に提供できるよう、イネーブルメントおよび認定プログラムを推進し、日本全体でスケーラブルな顧客成功を推進する。 チャネル・アライアンスチームと連携し、パートナー戦略とサービス成長目標を整合させる。 オペレーショナル・エクセレンス チーム稼働率、顧客満足度、案件健全性などの主要KPIを追跡・報告し、日本およびグローバルのリーダーシップに定期的なアップデートを提供する。 チームおよびパートナーネットワーク全体のリソース配分を管理し、デリバリー能力と品質を最適化する。 グローバルチームと連携し、日本PSにおける価格設定、パッケージング、オペレーション計画に貢献する。 応募要件 必須資格・経験・技術スキル SaaS、iPaaS、またはエンタープライズソフトウェア企業における、プロフェッショナルサービス、テクニカルコンサルティング、またはサービス組織のリーダーシップ経験12年以上。 技術デリバリーチームのマネジメント経験5年以上。組織を構築し、拡大した実績があること。 日本のエンタープライズ市場においてCレベルの関係を構築・維持した実績があり、日本企業のビジネス文化を深く理解していること。 統合、オートメーション、ならびに新興のAgentic AI／Enterprise MCP技術に関する高い技術的知見を有し、アーキテクチャに関する議論に信頼性をもって参加できること。また、複雑な概念を経営層向けに分かりやすく説明できること。 SOWベースの導入案件と、アドバイザリー／コンサルティング型のサービスモデルの両方をマネジメントした経験。 日本においてSIerやコンサルティング会社とのパートナーエコシステムを構築した実績。パートナーイネーブルメントおよび共同デリバリーモデルを含む。 日本語・英語の双方で優れたコミュニケーション能力を有し、顧客対応とグローバルな部門横断コラボレーションを円滑に行えること。 分散チームおよびパートナーネットワーク全体にわたる、強力なリソース管理・優先順位付け能力。 主体性と自走力があり、不確実性を伴う急成長・変化の速い環境での業務に適応できること。 歓迎要件 Workato、または主要iPaaSプラットフォーム（MuleSoft、Boomi、Tray.ioなど）の実務経験。 Salesforce、Workday、ServiceNow、SAP、NetSuiteなどのエンタープライズアプリケーションに関する知識。 iPaaSまたはオートメーション領域におけるプリセールス、またはテクニカルアドバイザリーの経験。 PMP、Scrum、またはAgileの認定資格。 急成長中のスタートアップまたはスケールアップ企業での経験。 プロフェッショナルサービス案件を通じて、ソフトウェア導入拡大・利用拡大を推進した実績。

Location: Estonia - Remote Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: Wrike relies on a dynamically changing set of integrated SaaS tools, and securing them requires dedicated, end-to-end ownership of their data security posture. Asking questions like what data is collected, why, how long it’s retained, and how it flows between systems. As Business Systems Security Analyst, you will own this space by establishing continuous data governance, SaaS integration governance, and identity & access management across our business systems. Helping Wrike stay proactive and prevention-focused rather than reactive. Your Impact: Own data governance across business systems: what’s collected, why, retention, and data flows between systems Govern SaaS integrations: inventory, risk assessment, and secure onboarding/offboarding of third-party tools Manage and review access provisioning and deprovisioning across integrated SaaS platforms, ensuring least-privilege principles are enforced throughout the identity lifecycle Oversee SSO configurations, OAuth scopes, and service account permissions across business-critical systems, identifying overprivileged accounts and stale access Monitor and help harden the security posture of business-critical SaaS platforms and their connected tools Conduct periodic access reviews and certifications for SaaS platforms, with a focus on privileged and third-party system accounts Conduct security reviews of integrations from a data flow perspective before they connect to business-critical systems, including evaluating IAM implications such as API keys, OAuth tokens, and service accounts Partner with system owners to remediate risks and embed security into business processes Focus on AI-driven integration workflows: MCP, A2A, and emerging agent-based protocols Your Qualifications: Experience securing SaaS business platforms and their integrations, including identity and access management across those environments Solid understanding of data governance principles: data classification, retention, and data flow mapping Technical hands-on skills: ability to independently investigate configurations, permissions, API connections, and logs across SaaS platforms Knowledge of integration best practices: secure API design, least-privilege service accounts, token/secret management, and integration lifecycle management Understanding of AI tooling and its security implications: how AI-powered tools access, process, and store business data Experience with third-party/vendor risk assessment and SaaS security posture management Ability to work cross-functionally with business system owners (Sales Ops, Marketing Ops, RevOps) Standout Qualities: Hands-on experience with SSPM tools or Salesforce security tooling Familiarity with OAuth/API integration security and supply-chain risk Experience with AI-driven data flows and integrations (e.g., MCP, A2A, agent-based workflows) Knowledge of Salesforce is a strong plus Team Dynamics: You will be joining Wrike's 15-member global Security team led by Maksim Pekuryn, Director of Security. You will report directly to Swen Groeneveld, Head of Security Operations, whose 8-person sub-team includes Security Engineers, Application Security, and SOC specialists. You'll also work closely with cross-functional partners in RevOps, Marketing, and Legal. Our Work Style: Tech stack: Salesforce, Marketo, Salesloft, OAuth integrations, connected apps, and related business SaaS tooling. Collaborative environment working closely with RevOps, Legal, and Marketing teams. Hybrid mode. Benefits & Perks: 28 calendar days of paid vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Health Insurance (Employees + Dependents) Life Insurance Plan Utility Allowance (30 EUR/month, subject to taxation) Fitness Plan (800 EUR/year) Full-remote & On-demand access to Co-working space What's Next? Recruiter Screen (30 mins) Department Interview / Technical Discussion (60 mins) Cultural Interview with Hiring Manager, CISO, and HRBP Your recruitment buddy will be Aleksandar Chernev , Senior Technical Recruiter. #LI-AC1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Nicosia Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: Wrike relies on a dynamically changing set of integrated SaaS tools, and securing them requires dedicated, end-to-end ownership of their data security posture. Asking questions like what data is collected, why, how long it’s retained, and how it flows between systems. As Business Systems Security Analyst, you will own this space by establishing continuous data governance, SaaS integration governance, and identity & access management across our business systems. Helping Wrike stay proactive and prevention-focused rather than reactive. Your Impact: Own data governance across business systems: what’s collected, why, retention, and data flows between systems Govern SaaS integrations: inventory, risk assessment, and secure onboarding/offboarding of third-party tools Manage and review access provisioning and deprovisioning across integrated SaaS platforms, ensuring least-privilege principles are enforced throughout the identity lifecycle Oversee SSO configurations, OAuth scopes, and service account permissions across business-critical systems, identifying overprivileged accounts and stale access Monitor and help harden the security posture of business-critical SaaS platforms and their connected tools Conduct periodic access reviews and certifications for SaaS platforms, with a focus on privileged and third-party system accounts Conduct security reviews of integrations from a data flow perspective before they connect to business-critical systems, including evaluating IAM implications such as API keys, OAuth tokens, and service accounts Partner with system owners to remediate risks and embed security into business processes Focus on AI-driven integration workflows: MCP, A2A, and emerging agent-based protocols Your Qualifications: Experience securing SaaS business platforms and their integrations, including identity and access management across those environments Solid understanding of data governance principles: data classification, retention, and data flow mapping Technical hands-on skills: ability to independently investigate configurations, permissions, API connections, and logs across SaaS platforms Knowledge of integration best practices: secure API design, least-privilege service accounts, token/secret management, and integration lifecycle management Understanding of AI tooling and its security implications: how AI-powered tools access, process, and store business data Experience with third-party/vendor risk assessment and SaaS security posture management Ability to work cross-functionally with business system owners (Sales Ops, Marketing Ops, RevOps) Standout Qualities: Hands-on experience with SSPM tools or Salesforce security tooling Familiarity with OAuth/API integration security and supply-chain risk Experience with AI-driven data flows and integrations (e.g., MCP, A2A, agent-based workflows) Knowledge of Salesforce is a strong plus Team Dynamics: You will be joining Wrike's 15-member global Security team led by Maksim Pekuryn, Director of Security. You will report directly to Swen Groeneveld, Head of Security Operations, whose 8-person sub-team includes Security Engineers, Application Security, and SOC specialists. You'll also work closely with cross-functional partners in RevOps, Marketing, and Legal. Our Work Style: Tech stack: Salesforce, Marketo, Salesloft, OAuth integrations, connected apps, and related business SaaS tooling. Collaborative environment working closely with RevOps, Legal, and Marketing teams. Hybrid mode. Benefits & Perks: 25 working days of paid vacation Sick Leave Compensation (5 Uncertified + 10 Certified Days) Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Life Insurance (Employees) Provident Fund Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays Work Permit, Blue Card & Naturalization Support What's Next? Recruiter Screen (30 mins) Department Interview / Technical Discussion (60 mins) Cultural Interview with Hiring Manager, CISO, and HRBP Your recruitment buddy will be Aleksandar Chernev , Senior Technical Recruiter. #LI-AC1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Manila, Philippines Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. Values Here are our Company Values and we’d love to have individuals who can be a culture add to our team! What We Offer Permanently Remote Pay wired directly to your bank account $50 Monthly Stipend Annual Bonus Flexible PTO Enjoy company time off during some of the major US Holidays Career fast track for performers and internal mobility Learn from a team of Stanford, MIT, Google and Harvard alumni Grow With Us We are looking for a Senior Software Solutions Engineer in Professional Services (PS) to join our growing team. In this role, you will own the design, development, and delivery of complex technical integrations between our platform and enterprise client systems. You'll operate at the intersection of deep software engineering and customer partnership — leading integration architecture decisions, mentoring junior engineers, and driving technical standards across the PS organization. The majority of your time is spent writing code, architecting scalable solutions, and solving genuinely hard technical problems. You'll bring an AI-native mindset to everything you build — leveraging LLMs, automation, and modern AI tooling to deliver faster, smarter outcomes for clients and the team. You'll work directly with enterprise clients and internal stakeholders to translate complex business requirements into production-grade software, with direct, visible impact on customer retention and satisfaction. Day in the Life Integration & Internal Engineering (50%) Architect and build robust API integrations between our platform and client HR, payroll, and POS systems Develop and maintain reusable integration frameworks and shared libraries that accelerate delivery across the team Own the full software lifecycle — from design and development through testing, deployment, and production support Build data migration pipelines and CSV transformation solutions for enterprise onboarding Develop two-way payroll integrations with complex business logic and error handling Build and deploy custom internal tools that improve team efficiency, integration observability, and customer operations Own infrastructure-as-code and deployment pipelines using Terraform, GitHub Actions, and related CI/CD tooling — you ship to production, not just to staging Apply AI-native development practices: using LLMs and AI tooling to accelerate development cycles, generate smarter automation, and build more intelligent solutions for clients and internal teams Technical Leadership & Mentorship (20%) Review code and provide technical guidance to junior and mid-level engineers on the PS team Establish and document engineering best practices, integration patterns, and internal tooling standards Champion AI best practices across the team — helping others understand when and how to use AI tooling effectively and responsibly Collaborate with Product and Engineering to surface recurring customer pain points and influence the platform roadmap Customer & Stakeholder Collaboration (20%) Lead technical discovery sessions with enterprise clients to define integration scope and requirements Translate complex business and compliance requirements into clear technical specifications Serve as the senior technical voice in client conversations — able to communicate architecture decisions confidently to both technical and non-technical audiences Custom Solutions & Tooling (10%) Build custom reporting tools, enterprise-grade career site implementations, and AI-assisted automation for customers Develop internal tooling and dashboards to improve team efficiency, reduce manual work, and scale PS delivery Who You Are Engineering Depth: You write clean, production-quality code and take ownership of what you ship. You think in systems, not just scripts. AI-Native: You don't just know AI exists — you actively use it. You're fluent with LLM APIs, prompt engineering, and AI-assisted development workflows, and you have strong instincts around where AI adds genuine value vs. where it introduces risk Integration Expertise: Hands-on experience with REST APIs, webhooks, OAuth, and workflow automation platforms (Workato or similar) DevOps Fluency: You're comfortable with Terraform, GitHub Actions, and CI/CD pipelines — shipping and maintaining production infrastructure is part of your normal workflow, not an afterthought Technical Leadership: You've mentored engineers, led code reviews, and contributed to engineering standards — not just executed tickets Problem Solving: You enjoy ambiguous problems and bring structured thinking to novel technical challenges Communication: You can hold your own in a technical architecture conversation and turn around and explain the same concept clearly to a non-technical customer Requirements 5+ years of experience in Solutions Engineering, Solutions Consulting, or a related technical customer-facing role Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience) Experience designing and consuming REST APIs at scale Proficiency with infrastructure-as-code (Terraform) and CI/CD pipelines (GitHub Actions or equivalent) Demonstrated AI-native development practices — active use of LLM APIs, AI tooling, or AI-assisted workflows in prior roles Familiarity with version control and collaborative development workflows (GitHub) Experience with workflow automation platforms (Workato, Zapier, or similar) Must be willing to work during US business hours Nice to Have Proficiency in Python and TypeScript/JavaScript; comfortable owning backend services while being capable across the stack Prior experience in SaaS implementation, professional services, or a customer-facing engineering role Exposure to HRIS, payroll, or POS system integrations Experience building and maintaining shared internal developer tooling or libraries Familiarity with MCP (Model Context Protocol) or agentic AI frameworks Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

Задачи: — Улучшение MCP-сервера: расширение функциональности, добавление инструментов для поиска и получения детальной информации о компонентах (пропсы, API, примеры) для поддержки AI-ассистентов. — Разработка аналога Context7 для Яндекс 360: создание системы автоматической индексации и предоставления документации по внутренним пакетам Яндекс 360 в формате, оптимизированном для AI, с использованием MCP/API. — Создание системы управления правилами и промптами для AI-ассистентов: разработка централизованного хранилища версионированных промптов и правил поведения AI-ассистентов с возможностью наследования и автоматической подстановки в контекст. — Генерация AI-дружественной документации: создание CI/CD-пайплайнов и скриптов для автоматической генерации документации из исходного кода, включающей компактные сигнатуры, метаданные и примеры, с использованием MCP-серверов и системы внутреннего Context7. Требования: — Хорошее знание TypeScript. — Опыт работы с AI-код-ассистентами. — Ежедневное использование Cursor, Claude Code, GitHub Copilot и других AI-ассистентов в реальных проектах. — Понимание работы AI-агентов и правильного использования окна контекста. — Умение определять недостаток контекста у агента и способы его исправления. — Способность объяснить разницу между хорошим и плохим промптом на примерах. Будет плюсом: — Опыт разработки MCP-серверов. — Опыт работы с Figma API или другими инструментами дизайна. — Понимание CI/CD-процессов и опыт настройки автоматизации. — Знание архитектуры дизайн-систем и UI-библиотек (prop API, tokens, theming).

Команда «ИИ для сотрудников» отвечает за создание AI-инструментов для сотрудников компании: определение приоритетов, разработка решений и внедрение. Задачи: — Разрабатывать платформу для создания внутренних ассистентов с использованием современных подходов. — Обеспечивать доступ сотрудников к актуальным возможностям LLM — интеграция новых моделей, MCP и API. — Анализировать качество генеративных моделей, выявлять слабые места и предлагать способы их улучшения. — Следить за best practices и open source-проектами в области LLM и интеграций. — Разворачивать и поддерживать сервисы в Kubernetes: деплой, конфигурация, настройка мониторинга и алёртов. — Проводить code review и архитектурные ревью, вносить предложения по оптимизации и развитию. Требования: — Опыт разработки от 5 лет. — Активное использование LLM, понимание их возможностей и ограничений. — Опыт деплоя сервисов в продакшн и обеспечение их стабильной работы. — Приветствуется понимание архитектуры AI-агентов (оркестрация, memory, tools). — Опыт работы с фреймворками для LLM-пайплайнов: LangChain, LlamaIndex, Haystack. Условия: — Аккредитованная IT‑компания. — Возможна удалённая работа по РФ. — При желании гибридный формат (офисы в Москве, Санкт-Петербурге, Новосибирске). — Нет дресс‑кода и строгого графика. — Участие в конференциях, ДМС и забота о здоровье сотрудников.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: AI agents at Honeycomb investigate, reason, and act on real observability data. They live in Canvas: the agentic workspace where engineers go to understand their systems. The Agentic Intelligence team has shipped Canvas, the Honeycomb MCP server, and the Canvas Agent and Canvas Skills surfaces. What we're looking for today is someone who brings deep agent expertise and uses it to expand what the team can build: new agents, new surface area in Canvas, memory, spatial awareness, improved performance on our Bedrock loop. Honeycomb's data store is fast and accepts high cardinality data; that's what makes agents built on top of it different from anything built on a conventional observability backend. This role is about taking advantage of that building agents that can do things no other observability product can do because the underlying data makes it possible. Some of this work will start as a prototype. The expectation is that the code makes it through the full arc, from the rough first version through to something that holds up in production. What you'll do Design and deliver production-grade agents. Build agents that investigate, reason, and act on live observability data inside Canvas. These agents must be trustworthy to engineers in high pressure situations, including mid-incident. Take one from rough first version to something that holds up under production traffic. Own the agent work; support the whole product. Scope, build, ship, and maintain the agents including the evals that tell you whether they got better or are just different. This role is agent-focused and also includes some fullstack development. Build agents only Honeycomb can build. Use a data store that returns high-cardinality queries in seconds to reason over signal a conventional backend can't serve at this fidelity correlating across services, drilling into a single trace, comparing before and after a deploy. Extend the surface, and decide what's next. Ship new capability into Canvas, the MCP server, and Canvas Skills memory, spatial awareness, a faster Bedrock loop and make the case for what comes after with working code. Distinguish hype from signal in a field with plenty of both. Define what "good" means for agents here. Set the bar: measurable against real evals, maintainable, and honest about their limits. Example projects Multiple agents collaborating on one shared Canvas investigation each claiming a hypothesis, publishing findings, and narrowing the search space for the others so it resolves faster (blog). Auto-investigation the moment an SLO burn alert fires the agent forms hypotheses and prepares visualizations before a human looks, cutting mean-time-to-insight for on-call (o11ycon 2026). Skills that encode a team's domain expertise e.g. Kubernetes thresholds so agents and human colleagues can lean on them (o11ycon 2026). What you'll bring: AI and agent engineering experience. You've shipped LLM-based systems people relied on in production not demos, not fine-tuned models in a research context. You know where agent systems break and how to design around it. End-to-end ownership. On a small team there's no handoff queue. You can take something from rough prototype to production-grade without needing someone behind you to do the durable engineering. Current judgment, not just past experience. You have informed opinions about what's shifted in agent design in the last six to twelve months that would change how you'd build today. Agent architecture depth. You understand how a fast, high-cardinality data store changes what an agent can reason about, and how to design for that. Product judgment. You can look at what the agent layer does today and see what it should do next and make that case with a prototype, not a deck. Even better Observability or developer-tools background. Engineers are your users; you'll ramp faster with fluency in that world, and the work is better. Familiarity with eval frameworks, agent tooling, RAG, and prompt engineering. Base Salary based on level of experience $250,000 — $280,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker's Product-Led Growth (PLG) team owns turning product usage into revenue across the full Platform: the Container business (Docker Desktop, Docker Hub, Docker Build Cloud, Docker Scout) and the AI business (Sandboxes, AI Governance, Model Runner, MCP Toolkit, MCP Catalog). Lifecycle marketing is one of the fastest-scaling parts of that team: it already owns user and admin nurtures, renewal automation, and first-touch outreach for PQLs and inbound leads, running against a marketable base in the tens of millions. As Senior Lifecycle Marketer, you'll report directly to the VP of PLG and partner closely with our existing lifecycle marketing lead. You'll take ownership of assigned products, audiences, and lifecycle stages, with real input into shaping the approach for what you own, not just shipping someone else's plan, and you'll help turn a fast-growing list of priorities into a structured, scalable lifecycle engine. _______________________________________________________________________ WHAT MAKES SOMEONE SUCCESSFUL IN THIS ROLE - Lifecycle Fluency: You think in full user journeys, not campaigns. You've done lifecycle marketing specifically, not just growth or demand gen, and you know how nurture, activation, retention, and renewal connect across a product's full lifecycle. - Builder's Mindset: You'd rather own a program end to end, strategy, build, QA, and send, than hand pieces of it off. You bring structure to ambiguity: turning a fast-growing list of priorities into themes, a build queue, and a sequenced roadmap. - Audience & Signal Validation: You know how to validate an audience and its underlying signal before it ships: spot-checking record-level data, sanity-checking targeting logic, and catching a bad segment before it reaches users. You don't need to write SQL yourself, but you can work directly with data teams to confirm a list is right. - Cross-Functional Operator: You operate well across marketing, sales (BDR and renewals), data, and design/agency partners, and you know how to keep programs moving even when you don't own every dependency. - Marketing Automation Execution: You've personally built campaigns in Marketo or an equivalent platform, not just briefed them: audience builds, suppressions and contact governance, pre-send QA and live proofs, and launch monitoring, including troubleshooting a broken data sync in the moment. - Technical Translation: You can take a technical product or a raw usage signal, a feature adoption event, a usage threshold, a new capability, and turn it into messaging that reads credible to a developer or admin, not generic marketing copy. _______________________________________________________________________ RESPONSIBILITIES - Build the Lifecycle Engine: Own and build lifecycle campaigns (email and in-product messaging) across Docker's Container and AI Platform products, including Sandboxes and AI Governance, for both end users and admins. - Scale Programmatic Sends: Design and run large-scale programmatic sends, such as recurring account health checks, to a base in the tens of millions, working within the team's marketing automation stack (currently Marketo and Mailgun; expect a platform transition in the next 6–12 months). - Automate Lead and Renewal Motions: Stand up and run automated first-touch flows for PQLs and inbound leads, in partnership with BDR and renewals stakeholders. - Validate Audiences & Signals: Partner with data and growth engineering to pull the usage signals campaigns depend on (Snowflake and internal data tools), and validate that an audience and its underlying signal are correct before every send. - Manage Suppressions & Contact Governance: Own suppression lists and contact governance rules so campaigns stay compliant and don't over-message or reach the wrong audience. - QA, Launch Monitoring & Troubleshooting: Run pre-send QA and live proofs on every campaign, monitor launches as they go out, and troubleshoot issues in real time, including broken data syncs. - Translate Signals into Messaging: Turn technical product usage and adoption signals into messaging that reads credible and useful to developers and admins, not generic marketing copy. - Shape and Sequence Strategy: Take a fast-growing list of priorities and turn it into a concrete build queue: itemize the work, sequence it, and flag capacity or dependency issues early. - Coordinate Design & Agency Partners: Work with design and agency partners to keep campaign quality and turnaround on track. - Operationalize Reporting: Own naming, tracking, and reporting on programs so the rest of the team has visibility into what's live, what's next, and what it's driving. _______________________________________________________________________ QUALIFICATIONS - Lifecycle Marketing Experience: A background specifically in lifecycle marketing, not pure growth or demand gen, ideally inside a PLG or self-serve motion. - Proven Program Ownership: A track record of owning campaigns end to end (strategy, build, QA, send) and shipping programs that moved a real metric: activation, retention, or renewal conversion. - Marketing Automation Build Experience: Hands-on build experience in Marketo or an equivalent marketing automation platform: audience builds, program/campaign setup, suppressions and contact governance, pre-send QA and live proofs, and launch monitoring. - Data & Targeting Validation: Comfortable working directly with data teams to validate record-level data and targeting logic, for example auditing who's actually in a segment or spot-checking a list against expectations. Writing SQL yourself is a plus, not a requirement. - Technical-to-Message Translation: A track record of turning a technical product or a raw usage signal into messaging that reads credible to a developer or admin audience, not generic marketing copy. - Technical Familiarity: Comfort navigating developer ecosystems, cloud infrastructure, or complex multi-product software platforms. - Independent Ownership: Senior-level judgment and ownership as an individual contributor: you can run with ambiguity and drive a program without every step spelled out, and you collaborate well with another senior peer on the team. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Immerse & Align: Get up to speed on Docker's PLG motion, product surface area (Container and AI), and the programs lifecycle already owns. Build a working relationship with data, BDR, renewals, and design/agency partners. - Program & Tooling Audit: Audit the current state of user and admin nurtures, renewal automation, and PQL/lead outreach, and get familiar with the Marketo/Mailgun stack and its upcoming transition. - Roadmap Calibration: Work with the lifecycle team to turn the current priority list into themes, a build queue, and a sequenced roadmap. FIRST 90 DAYS - Ship Owned Campaigns: Take ownership of at least one full program, such as an admin nurture flow or a PQL first-touch sequence, from build through send. - Contribute to Renewal Automation: Stand up a first version of automated renewal outreach in partnership with the renewals team. - Build the Reporting Cadence: Put in place naming, tracking, and reporting so the team has clear visibility into what's live and what it's driving. ONE YEAR OUTLOOK - Own a Mature Program Set: Own a mature, scaled set of lifecycle programs across your assigned products, audiences, and lifecycle stages. - Prove Impact: Show measurable lift in activation, retention, or renewal conversion tied directly to your programs. - Scale the Function: Help lifecycle marketing operate as a predictable, automated engine rather than a set of one-off campaigns, as scope keeps expanding across the Platform. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$160,300– CA$229,000 base United States: $115,500 – $165,000 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Singapore; Indonesia; Kuala Lumpur, Malaysia Workplace: hybrid We're Osome - an international fintech startup making the lives of entrepreneurs easier. We help thousands of businesses kick admin, accounting and bookkeeping out of their day-to-day, so they can spend more time on what's important to them. We've developed a unique solution that combines SaaS with a human-in-the-loop approach to provide full-fledged services in real-time. We’re experiencing rapid growth in both client base and team, which now comprises around 500 people across our offices worldwide. As we continue to scale, we’re looking for more bright minds who are excited to make a real impact by solving complex problems. What to expect: Accounting in Osome runs as two domain teams. This team, Core, owns the automation and ledger logic behind the numbers: reconciliation, tax computation logic, the ledger itself, and the architecture behind how financial statements get generated . Experience owns everything client- and agent-facing across the whole journey — bookkeeping, accounts review, and tax filing. When we build agent-native access to the ledger and expand our MCP, it will sit here too. This is a systems and architecture-heavy PM role: you'll need to get hands-on enough with data flows, matching logic, and statement structure to work with engineers to make educated architectural calls. This is the work behind reducing ticket volume and turnaround time end-to-end, and a direct expression of our broader product bet that the best support ticket is the one that never gets opened. You'll be designing for two audiences at once — client and agent/ops — who need to move in lockstep. Here's the glance of the role: You'd own: reconciliation, tax computation logic, our proprietary ledger, financial-statement architecture, and agent-native access to the ledger. You'd work with: 2+ dedicated engineers to start, shared design and analytics. The problem to solve: we've taken big steps towards automation, now it comes to making larger leaps. What you'll do: Own the roadmap, priorities, and delivery for reconciliation and ledger/close logic end-to-end. Partner daily with engineers to shape how automation gets evaluated, where it's trustworthy enough to run unsupervised, and where a human-in-the-loop stays the right design. Define the metrics that actually matter here; coverage vs. accuracy trade-offs, not just delivery counts, get them tracked, and use them to decide what's next. Prototype cheaply before committing engineering time; a script, a quick model test, a mocked data flow to test an idea before it's a sprint. Partner closely with Bookkeeping, Accounting, Tax, and Audit ops, internal operations adoption of what teams ship is a huge part of success at Osome. Represent this team's priorities to senior stakeholders, including saying no and getting stakeholders to agree with the reasoning. As the team grows, mentor and eventually help manage other PMs. Who you are: Evaluated against our PM capability framework at the Senior PM bar: Strategic impact : you can define and drive a multi-quarter strategy against an ambiguous, company-level goal, and own the roadmap that follows from it. Domain ownership : you own the business outcome for reconciliation and ledger work, deep enough, fast enough, to be a credible domain expert within two quarters. Problem-solving : you map ambiguous, system-level problems rather than reach for the first plausible fix. Execution : you ship complex, cross-functional work reliably, prototyping to de-risk before committing engineering time. AI-literacy : you're a hands-on AI user beyond prompting: comfortable prototyping with AI coding tools, running your own quick model or evaluation tests, and building enough of a feel for failure modes to make a real call on what's trustworthy. Leadership : ready to mentor at least one other PM as the team grows. What you bring A track record of making good calls under ambiguity, not just executing a well-defined brief. Evidence you've built something from scratch; a prototype, an internal tool, a side project without waiting for someone else to spec it first. Bookkeeping, accounting, or close-process literacy, from product experience in this space, a finance/accounting background, or deep, demonstrable self-study. Comfort partnering closely with engineers on automation- or model-driven work: coverage vs. accuracy trade-offs, evaluation methodology, knowing where full automation isn't trustworthy enough to ship unsupervised yet. SQL or equivalent data fluency. Prior exposure to ledger, tax, or financial-reporting systems specifically. Curiosity about how reconciliation and matching logic work under the hood. Our Benefits Multi-cultural environment to enhance your global perspective. Learning opportunities and mentorship from peers and leaders. Flexible working arrangement. An agile working model focused on goals and performance. Equal Opportunity Statement At OSOME, creating a culture where individuals of all backgrounds feel comfortable really matters. Everyone who applies will receive fair consideration for employment. We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. We want to ensure that we represent the diversity of talent in the society we live in today. If you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know so that we can support you.

Location: Yerevan, Armenia Workplace: onsite EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for a dedicated Senior Software Engineer to join our team in Armenia! About the role: We are looking for a senior generalist engineer. You will work across PHP, AngularJS, Go, Node, and SQL. Strong in PHP, able to pick up Go and Node as needed, able to work in a system you did not write. You own features from design to production, write short design docs before non-trivial work, and work directly with product and QA. You already use agentic coding tools daily. Senior here is not about years of experience. It is about how you operate, technically and with people: Takes the hard tasks. Picks up the unclear, risky, or unpopular problem and drives it until it is working in production for real users. Done means live, not a ticket status. Flexible in solutions. Has more than one way to solve a problem and chooses based on constraints, not habit. Moves fast when it matters. Knows when to ship quickly and when to slow down, and can tell the difference. Communicates. Explains decisions clearly, keeps people informed, raises problems early instead of late. Gives and takes feedback. Direct, specific, constructive. Not defensive when the feedback comes back. Owns outcomes. Not just the code, but whether the thing actually works for the people using it. What you'll get to do: Build and ship features across the stack: data model, API, UI. Help split the monolith into services: define service boundaries, plan data migrations, roll out changes step by step without downtime. Modernize legacy code where it pays off. Write short design docs for non-trivial changes. Own what you ship: monitoring, alerts, fixes. Design schemas, write efficient queries, build reports operators depend on. Review code and mentor. What we're looking for: Solid experience building and running production software at a senior level. Strong in PHP; able to pick up Go and Node as needed. Solid with relational databases: schema design, query performance, migrations on live data. Experience improving a large legacy codebase incrementally. Usage of agentic AI coding tools daily. You can show us how you plan work for an agent, where you trust it, and where you don't. Writing tests and treating correctness especially seriously where money, commissions, and reporting are involved. Writing clear design docs, tickets, and PR descriptions. Communicating directly with product, QA, and non-technical stakeholders. Working English, spoken and written. Nice to have Splitting a monolith into services in production. Kubernetes and Cloudflare in daily operations. LLM-backed features: pipelines, evaluation, self-hosted open-weight models, MCP servers. Applied ML in production (recommendation or scoring). Payments, fintech, or iGaming. Web scraping at scale, anti-bot handling, proxies. Here's what we offer: Start with 24 days of annual leave, with 2 additional days added each year, up to 34 days by your fifth year with us. Benefit from two Free Fridays each year, limited to one per quarter. Access online learning platform like Udemy for Business, and a budget for external training. Daily catered lunch or monthly lunch allowance. Private Medical Subscription. Gym allowance. Parking Team-building activities in various locations.

Location: New York, NY Workplace: Hybrid ABOUT THE COMPANY Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. OUR ETHOS We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Role AI agents are already booking travel, subscribing to software, running procurement end to end, and moving money on behalf of users — much of it through Rain. Our Agent Control Layer is the governing surface for that activity: it enforces approved counterparties, amounts, merchants, and task scope at initiation, before a transaction ever occurs, rather than reconciling damage after the fact. We are hiring a Senior Product Manager to own that platform. This is a 0-to-1 role inside a category being defined in real time. You will own the developer-facing surface — APIs, SDKs, controls, docs — that teams building agents use to give them spending power safely. McKinsey projects $3–$5 trillion in global agentic commerce by 2030. The primitives that make it trustworthy have not been built yet. You will build them. You will report to the Head of Product and work daily with engineering, risk and compliance, network partnerships, and the developers shipping on us. What you'll do • Define the primitives for agent authority: spend scopes, merchant and counterparty allowlists, velocity and amount ceilings, task-bound credentials, human-in-the-loop approvals, and clean revocation. • Own scoped virtual cards for agents — cards provisioned for a single merchant, amount, and task, retired the moment the task completes. • Extend the rest of Rain's stack (wallets, virtual accounts, onramps, offramps, cross-border payments) to agent initiators within the parameters our customers define. • Treat the API as the product. Own endpoint design, error semantics, idempotency, webhooks, sandbox and simulation tooling, SDKs, and reference agents. • Own documentation and the onboarding path with the same rigor as the product itself. Time-to-first-authorized-agent-transaction is your metric. • Run a tight design-partner loop with agent builders — read their integration code, sit in their debugging sessions, ship against what you find. • Build the roadmap from first principles: form a thesis on where agentic commerce goes next, sequence bets accordingly, and kill what isn't working quickly. • Partner with risk and compliance on Know Your Agent — agent identity, attestation, delegated authority, auditability, and dispute handling in a world where the cardholder wasn't the one who clicked. • Represent Rain's technical point of view in Agentic Payments Alliance working groups and with Visa, Mastercard, and stablecoin partners as standards take shape. • Write the specs, launch posts, and positioning that teach the market what controlled agentic payments actually means. You’ll likely succeed if you have • 8+ years in product management, with meaningful time on a developer-facing platform, API, or infrastructure product. You have shipped something engineers chose to build on. • Technical depth. You read API diffs, write your own queries, prototype against your own endpoints, and hold your own in an architecture review. You don't need to have been an engineer; you do need engineers to take you seriously. • 0-to-1 instincts. You have taken a product from a blank page to real usage in an ambiguous market, and you're comfortable with a roadmap that changes because the ground moved. • Payments or fintech fluency, or the obvious appetite to acquire it fast. Authorization flows, issuing, interchange, chargebacks, settlement, KYC/KYB - you know these, or you'll learn them in weeks rather than quarters. • Judgment under risk. Every control you design trades capability against loss. You can reason about that tradeoff explicitly and defend where you landed. • Strong writing. At Rain, specs, docs, and launch narratives are the job, not overhead. • Bias for motion. You would rather ship a narrow thing this month and learn from it than scope a broad thing for two quarters. Bonus attributes • Hands-on experience building or deploying AI agents - tool use, orchestration frameworks, MCP, evals. • Stablecoin or onchain payments background: settlement, custody, treasury operations, or wallet infrastructure. • Experience working directly with card networks, issuing processors, or sponsor banks. • Time at an early-stage company during a period of fast scaling. THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.