Вакансии

– Тестировать каналы привлечения (Яндекс Директ, Telegram, VK, outbound, партнёрства) и масштабировать те, что работают. – Выстраивать воронку: регистрация → первая вакансия → оплата.

Ищем человека, который станет правой рукой собственника и будет действовать от имени руководителя. Задача — держать под контролем все процессы в команде и доводить любую проблему до решения.

Location: Ukraine OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We are looking for a proactive and detail-oriented General QA Engineer to help ensure the quality and reliability of our product. In this role, you will combine manual and automated testing, build and maintain scalable Playwright test suites, leverage AI-powered tools to increase efficiency and work closely with engineering and product teams to deliver a seamless user experience. As part of our team, your responsibilities in this role will include: Automates validation across UI, APIs, dashboards Maintains reusable test systems, flakes analytics Development and maintenance of a suite of e2e/UI tests in Playwright (TS), covering critical user scenarios. Use of AI in work Practical use of LLM tools (e.g., ChatGPT, GitHub Copilot/Codeium) to optimize the execution of testing tasks. Performing manual testing of features (planning, test design, regression, exploratory). Integration and optimization of test runs in CI (parallelization, stabilization, flakiness metrics). Setting up reporting and observability for automated tests (traces, video, flake analytics). Collaboration with engineering and product: requirements clarification, help reproducing defects, and improving testability. Maintaining the quality of test data and environments Our ideal candidate possesses the following skills: 3–5 years in QA, including 1.5+ years in automation using JavaScript/Playwright. Strong Playwright: Test Runner, fixtures, projects, parallelization, and sharding. Auto-wait/locators, stable selectors, working with flakes (timeouts, retries, expect.poll). BrowserContext/Page, environment isolation, test data management. Tracing, video/screenshots, network mocking (route), APIRequestContext. Page Object/Screenplay patterns, project structure, reusability. AI & No-Code Integration: Building test workflows in n8n, Zapier, Gumloop. Use of no-code tools as part of the automated test infrastructure. AI-Enhanced Testing: Practical use of LLMs (e.g., ChatGPT, Copilot). Explore AI QA tools (Testim, Diffblue, CodiumAI, Mabl). JavaScript/TypeScript at advanced mid-level: Async/await, promises, modules, TS typing, interfaces, generics. NPM/Yarn, Node.js scripts, ESLint/Prettier configuration. API testing: REST, Postman/Swagger. Browser DevTools: network, storage, cookies, CORS, headers, status codes. Databases: solid SQL, basic work with test data. CI/CD and VCS: Git (branching, PR, code review). Integration of automated tests into CI (GitHub Actions/Jenkins), artifacts, and reports. Running tests in containers/headless, dependency management, and caching. Manual testing: Requirements analysis. Creation of all types of test documentation. Test design techniques. Types of testing. English: reading documentation and written communication (Intermediate+). What we offer: Opportunity to shape the backbone systems of a modern, data-driven digital company A collaborative, innovation-first environment that values initiative and experimentation Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break) Why join us? You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you

🎯 For security engineers with hands-on threat modelling experience.

Location: San Francisco; New York Workplace: Hybrid ABOUT ALCHEMY Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com.   THE ROLE We're looking for a hands-on IT leader to build and run the business systems that help Alchemy work. You'll own enterprise applications and their integrations, manage and develop the IT team, and help teams across the company redesign how they work with AI. This is a player-coach role. You'll configure applications, write integrations, debug workflows, and ship automations yourself. You'll also set priorities, coach engineers, manage performance, and keep day-to-day IT service dependable. You'll identify recurring manual processes, build automations or agent workflows, and decide which steps need human review. You'll deploy and test those systems and teach the team to maintain them.   WHAT YOU WILL DO - Own business applications. Lead technical administration and improvement of Salesforce and connected sales tools, People Ops systems such as Rippling and ChartHop, and other business applications as priorities require. Partner with business owners on configuration, data quality, permissions, and technical escalations. - Build across systems. Write and maintain API integrations, scripts, and workflows that connect applications, reconcile data, and automate employee and business processes. Own testing, monitoring, failure recovery, and documentation. - Redesign work around AI. Partner with Sales, People Ops, Recruiting, Finance, and Legal to identify workflows worth rebuilding. Deliver agents and automations that can gather context, carry out authorized steps, verify results, and escalate exceptions to the right person. - Manage the team. Set priorities and expectations, run regular feedback and development conversations, hire, and manage performance. Balance service coverage with project work and make clear tradeoffs when demand exceeds capacity. - Raise the team's AI capability. Build alongside engineers, review their work, and turn successful approaches into shared tools, skills, and runbooks. Make AI-assisted building and verification part of how the team delivers work. - Keep IT service reliable. Oversee support quality, onboarding and offboarding, escalations, and operational coverage with the engineers responsible for service desk, identity, endpoints, and office technology. Jump into difficult issues when needed. - Make automation safe to operate. Partner with Security on least-privilege access, sensitive-data handling, audit trails, and approval boundaries. Use explicit approvals for high-impact actions and provide a way to stop or roll back failed automation. - Own the application roadmap and spend. Evaluate tools, manage vendor relationships and renewals, and bring application expertise in-house where it improves service or cost. Measure improvements through reliability, turnaround time, manual work removed, and adoption by the teams served.   WHAT WE ARE LOOKING FOR - Deep hands-on experience administering enterprise SaaS applications and building integrations; strong Salesforce experience and the ability to learn unfamiliar business systems. - Experience managing technical staff, including coaching, prioritization, hiring, and performance management. You're comfortable staying close to implementation. - Ability to build and debug with APIs, scripting, and workflow platforms such as n8n or Okta Workflows, with sound practices for testing and production changes. - Evidence of shipping AI-enabled workflows that other people use. You can explain what you delegated to AI, what you verified, where it failed, and how you improved it. - Experience helping a team adopt new tools and working practices, including supporting people with different starting skill levels. - Strong judgment about identity, access, employee data, and business-critical changes. You know when deterministic automation or a human decision is the better choice. - Ability to translate business needs into technical work, explain tradeoffs, and follow through on operational details.   HELPFUL EXPERIENCE - Supporting People Ops, Recruiting, Finance, or Legal applications alongside sales systems. - Employee lifecycle automation, identity integrations, and IT service management. - Building agent integrations, reusable skills, or evaluation suites with an internal AI platform.   WHAT SUCCESS LOOKS LIKE - Business systems have clear technical ownership. - The IT team delivers dependable support and application improvements, with fewer recurring manual tasks. - Teams across the company use workflows you've helped build, and your engineers can extend and operate them without depending on you for every change.   BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Location: Poland OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We are looking for a proactive and detail-oriented General QA Engineer to help ensure the quality and reliability of our product. In this role, you will combine manual and automated testing, build and maintain scalable Playwright test suites, leverage AI-powered tools to increase efficiency and work closely with engineering and product teams to deliver a seamless user experience. As part of our team, your responsibilities in this role will include: Automates validation across UI, APIs, dashboards Maintains reusable test systems, flakes analytics Development and maintenance of a suite of e2e/UI tests in Playwright (TS), covering critical user scenarios. Use of AI in work Practical use of LLM tools (e.g., ChatGPT, GitHub Copilot/Codeium) to optimize the execution of testing tasks. Performing manual testing of features (planning, test design, regression, exploratory). Integration and optimization of test runs in CI (parallelization, stabilization, flakiness metrics). Setting up reporting and observability for automated tests (traces, video, flake analytics). Collaboration with engineering and product: requirements clarification, help reproducing defects, and improving testability. Maintaining the quality of test data and environments. Our ideal candidate possesses the following skills: 3–5 years in QA, including 1.5+ years in automation using JavaScript/Playwright. Strong Playwright: Test Runner, fixtures, projects, parallelization, and sharding. Auto-wait/locators, stable selectors, working with flakes (timeouts, retries, expect.poll). BrowserContext/Page, environment isolation, test data management. Tracing, video/screenshots, network mocking (route), APIRequestContext. Page Object/Screenplay patterns, project structure, reusability. AI & No-Code Integration: Building test workflows in n8n, Zapier, Gumloop. Use of no-code tools as part of the automated test infrastructure. AI-Enhanced Testing: Practical use of LLMs (e.g., ChatGPT, Copilot). Explore AI QA tools (Testim, Diffblue, CodiumAI, Mabl). JavaScript/TypeScript at advanced mid-level: Async/await, promises, modules, TS typing, interfaces, generics. NPM/Yarn, Node.js scripts, ESLint/Prettier configuration. API testing: REST, Postman/Swagger. Browser DevTools: network, storage, cookies, CORS, headers, status codes. Databases: solid SQL, basic work with test data. CI/CD and VCS: Git (branching, PR, code review). Integration of automated tests into CI (GitHub Actions/Jenkins), artifacts, and reports. Running tests in containers/headless, dependency management, and caching. Manual testing: Requirements analysis. Creation of all types of test documentation. Test design techniques. Types of testing. English: reading documentation and written communication (Intermediate+). Ukrainian and/or Russian language proficiency is a must. What we offer: Opportunity to shape the backbone systems of a modern, data-driven digital company A collaborative, innovation-first environment that values initiative and experimentation Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday Schedule: Monday–Friday, 1 PM – 9 PM EET (including 1 hour break) Why join us? You’ll be at the intersection of technology, process innovation, and business growth – building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.

- Построение и развитие процессов CI/CD для проектов на платформе 1С:Предприятие. - Автоматизация сборки, тестирования, проверки качества и поставки конфигураций и расширений 1С.

Location: Gurugram, Haryana, India NEOLYTIX Associate – Automation (Fresher) Intelligent Automation · Entry-Level · Start Your Career in AI & Automation EXPERIENCE Fresher (0–1 Yr) QUALIFICATION B.Tech / BCA / MCA LOCATION Gurugram (Onsite, 5-Day) SHIFT 1:30–10:30 PM (Flexible) About the Role Neolytix is a US-headquartered healthcare technology and services company with delivery centres in Chicago, Gurugram, and Manila, supporting 270+ provider organizations. As we move from a services company to a technology-enabled one, our Intelligent Automation team is building AI-powered automations that make healthcare operations faster and more accurate — and we’re hiring recent B.Tech / BCA / MCA graduates as Associate – Automation to grow that team. This is an entry-level role built for someone ready to learn and build. You’ll be trained to design, build, and test automations — using visual (no-code / low-code) workflow tools, AI models, and light scripting — for real business and revenue-cycle processes, under the guidance of senior automation engineers. No prior work experience is required. We’re looking for solid programming fundamentals, a logical, pattern-spotting mind, and genuine curiosity about AI and automation. What You’ll Do Learn to design, build, and test automations using visual workflow / RPA tools and AI models, under senior guidance. Support the Intelligent Automation team in building and testing automations for business and RCM workflows. Write and maintain simple scripts (Python) for data handling, integrations, and automation tasks. Help map manual processes step by step and identify where automation can save time or reduce errors. Document workflows, test cases, and process steps clearly. Monitor running automations, log exceptions, and flag issues to senior team members. Use AI tools (e.g., ChatGPT, Claude, Copilot) to prototype, draft, and test solutions faster. What You’ll Learn With structured training and mentorship, you’ll build genuine, in-demand skills in: Visual workflow automation and RPA (no-code and low-code platforms). Applied AI — prompt design and using AI models for real business use cases. Python scripting for automation, data handling, and integrations. Process analysis — how to break a manual workflow into automatable steps. How US healthcare revenue-cycle operations work, as the processes you’ll help automate. What You Bring Must-Have B.Tech, BCA, or MCA (recent graduate) with a genuine interest in automation and AI. Solid programming fundamentals — comfortable with at least one language (Python preferred); understands logic, loops, functions, and basic data structures. A logical, analytical, pattern-spotting mind — you can look at a process and see where the repetition is. Comfortable working with data in Excel / spreadsheets. Good spoken and written English for documentation and teamwork. A fast learner who takes ownership and sweats the details. Preferred (a bonus, not required) Academic or personal projects in Python, scripting, automation, or AI (a GitHub or portfolio helps). Exposure to any automation / RPA or workflow tool (UiPath, Power Automate, n8n, Zapier, or similar). Basic SQL; hands-on use of AI tools (ChatGPT / Claude / Copilot); interest in healthcare or US business processes. Eligibility Criteria Education: B.Tech, BCA, or MCA is mandatory and must be completed — candidates currently pursuing a degree, with backlogs, or an incomplete graduation are not eligible. Communication: Good spoken and written English — clear enough to document workflows and work within a team. Work mode & shift: Onsite at Gurugram, 5 days a week. Shift: 1:30 PM – 10:30 PM IST, with some flexibility as required. Availability: Immediate joiners or candidates able to start soon are preferred. Selection Process Application review (resume; projects, a GitHub, or a portfolio help). Technical / aptitude assessment (logic and basic coding). Interview with the Automation team, followed by an HR discussion. Why Join Neolytix Start in a High-Growth Field Begin your career in AI and automation — one of the most in-demand skill sets today. Learn & Build Structured training and mentorship from senior automation engineers, from day one. Real Work, Real Impact Build automations that run in a live healthcare business — not throwaway training exercises. Clear Growth Path A path to grow into Automation Analyst / Intelligent Automation Analyst as you develop. Questions? Reach out to Lakshay at Neolytix Talent Management   |   This document is confidential and for internal use only

Задачи: — Разработка backend-сервисов на Python с использованием LLM и ML решений — Интеграция и автоматизация процессов с применением n8n и hermes ai — Работа с LLM: интеграция, prompt engineering, создание кастомных сценариев — Разработка и внедрение ML моделей — Интеграция внешних и внутренних API — Участие в разработке frontend-части на React и Django — Оптимизация и поддержка решений в продакшн Требования: — Уверенное владение Python и Git — Опыт интеграций и автоматизации с использованием n8n и HERMES AI — Знание API: REST/JSON, разработка и интеграция внешних сервисов, авторизация (OAuth, API keys) — Опыт работы с LLM: OpenAI, open-source модели, prompt engineering, PyTorch, TensorFlow, LQM — Навыки работы с React: компонентный подход, работа с API, верстка, управление состоянием приложения — Понимание RAG и основ машинного обучения — Опыт работы с Docker, CI/CD, MLOps, оптимизация inference, YOLO (Ultralytics), 1С

Облачная инфраструктура: T-Cloud CCE Turbo, ECS, VPC, EIP, DNS, EVS, ELB, NAT; высокая доступность в трёх зонах.

Задачи: — Эксплуатация сетей более 1400 магазинов. — Восстановление каналов связи магазинов. — Сопровождение корпоративных беспроводных сетей (Enterprise Wi-Fi). — Построение и поддержка георезервирования. — Повышение отказоустойчивости коммутаторов и маршрутизаторов, подготовка и проведение миграций. — Автоматизация сетевых задач с помощью Ansible. — Плановые ночные обновления сетей магазинов раз в месяц. — Управление командой. Требования: — Обязательный опыт работы с оборудованием FortiGate. — Знание принципов построения сетей передачи данных, основных протоколов маршрутизации, стека TCP/IP. — Практический опыт работы с сетевым оборудованием разных вендоров: L2/L3-коммутаторы, маршрутизаторы, межсетевые экраны. — Знание VLAN, STP, RSTP, ARP, DHCP, DNS, Port Security. — Практический опыт диагностики сетевых неисправностей. — Настройка и поддержка отказоустойчивых решений (HSRP, VRRP, MLAG). — Опыт работы с системами мониторинга (Zabbix, PRTG, NetFlow). — Опыт работы с анализаторами трафика (tcpdump, Wireshark). — Базовые знания VRF, BGP, OSPF, RIP, QoS, LACP, IPsec, 802.1X, NTP, SMTP, POP3 и др. — Администрирование маршрутизаторов и коммутаторов (Cisco, Huawei и др.). — Настройка и оптимизация протоколов динамической маршрутизации (OSPF, BGP). — Опыт работы с беспроводными сетями корпоративного уровня (Enterprise Wi-Fi): настройка, диагностика, устранение проблем. — Опыт автоматизации сетевых задач: Ansible, Python, n8n и т.п. — Готовность к плановым ночным работам раз в месяц. — Опыт управления командой. — Навыки управления командой. Условия: — Формат работы: удаленный. — Готовность к плановым ночным работам раз в месяц. Сфера деятельности заказчика — розничная торговля.

-Изучать бизнес-процессы компании, предлагать способы сокращения ручной работы, ошибок и времени обработки информации. -Разрабатывать и внедрять автоматизации, ИИ-ассистентов и интеграции между почтой, таблицами, базами данных, мессенджерами и внешними сервисами.

📊 Что предстоит делать: — Запускать и масштабировать рекламные кампании.

продвигать три направления: посетители Центра дизайна, дизайнеры интерьеров, аренда помещений бизнес-парка. вести рекламу, SEO и GEO (продвижение в ответах нейросетей), площадки недвижимости и карты.

We are seeking a hands-on, systems-driven RevOps Manager to own the data, tools, and processes behind every stage of our revenue funnel: signup, trial, paid, renewal, expansion, and churn. You will own our CRM, our funnel data, the weekly revenue scorecard, and the workflows that move accounts from one stage to the next.

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 are looking for candidates from the U.S. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In the United States, the base compensation range for this role is USD $154,445 - USD $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 .

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 are looking for candidates from Canada. Residents of Quebec are not eligible for this role. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In Canada, the base compensation range for this role is CAD 164,490 - CAD 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: Москва В департаменте стратегии команда из 5 человек. Ищем аналитика, который вышел за рамки поиска в Google и работы «в чате с нейросетью»: умеет собирать разнородные первоисточники, превращать их в структурированную базу и выводы с проверяемыми ссылками — и автоматизирует этот процесс. Обязанности ### Обязанности: • собирать и структурировать первоисточники: корпус по рынкам, компаниям и регулированию - официальные публикации, статистика цб рф и росстата/емиис, спарк-интерфакс, гарант / консультантплюс, скан-интерфакс, отчётность компаний • парсинг документов (pdf -> markdown/json), извлечение структурированных данных через llm (gigachat api, json schema), мониторинг изменений источников • строить систему знаний: база на markdown + yaml под git, единые словари и таксономии, метаданные, поиск по корпусу (rag: эмбеддинги, гибридный поиск), регламент проверки качества данных • автоматизировать: python (pandas, duckdb/sql), скрейпинг (scrapy / playwright), оркестрация (n8n / airflow), версионирование промптов и схем • каждый ручной процесс - кандидат на автоматизацию • анализировать и структурировать выводы: деревья гипотез и драйверов (mece), decision analysis, финансовые модели в excel; выводы по пирамиде «ответ -> аргументы -> данные» в записках и презентациях для руководства • держать стандарт достоверности: факт, допущение и суждение разделены; каждое суждение прослеживается до ссылки; ключевые утверждения подтверждены двумя независимыми источниками; уровень уверенности назван. Требования ### Требования: * 1-3 года в research-, стратегической или data-аналитике: консалтинг, аналитический центр, корпоративная стратегия, investment research * python для данных и текстов (pandas, работа с api, скрипты сбора) и sql * уверенный excel, включая чтение чужих финансовых моделей * практика с llm за пределами чата: промпт-цепочки, структурированное извлечение, rag-поиск по документам; понимание, где модель ошибается и как это проверять * desk research с дисциплиной: первичные источники приоритетнее вторичных, воспроизводимый лог поиска (запрос, дата, ссылка), правило двух источников * структурирование: пирамида минто, mece, деревья гипотез; вывод на страницу за 2-3 часа из 5-10 разнородных источников. ### Будет плюсом: • опыт построения баз знаний, парсеров, мониторинга источников: obsidian, git, n8n, docling • знакомство с babok (document analysis, root cause analysis, data dictionary) или dama (измерения качества данных) • опыт с on-prem llm: gigachat enterprise, vllm / ollama. Условия ### Условия: • стабильный оклад и социальная поддержка сотрудников • официальное оформление •  расширенный ДМС с первого дня и льготное страхование для близких • корпоративное обучение в Виртуальной школе Сбера • подписка Прайм с возможностью совместного использования на трёх близких • корпоративная пенсионная программа • гибкий дисконт по ипотечному кредиту, равный ⅓ ключевой ставки ЦБ.