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Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Working hours 🌎 While we are an all-remote company and hire almost anywhere in the world, we do require successful candidates to be located in the United States. Preferred location: USA Why this job is exciting As a Strategic Account Director, you’ll help the world’s largest engineering organizations give their developers and AI coding agents the context they need to work across massive codebases. This role blends technical depth, strategic selling, and product passion. It's perfect for someone who thrives in a fast-evolving environment and has proven success in managing high-value customer relationships, structuring strategic deals, and penetrating into key target accounts. Here's what we're thinking: 📅 Within one month, you will… Begin 1:1s with your manager, align on your 30-60-90 plan, and shadow discovery and closing calls. Build your territory plan to penetrate net-new logo accounts with an emphasis on targeted outbound while also expanding and taking ownership of key existing customers. Meet key partners in Solution Engineering, Customer Success, Product, Legal and Engineering teams - they will be key relationships for you throughout your deal cycle. 📅 Within three months, you will… Be a product expert, perfect your storytelling of use cases, demonstrate the product and convey real-world success stories of customers. Design account plans for key accounts focused on expansion and create compelling strategies to align Sourcegraph’s value to your customers' goals, needs, and objectives. Identify champions, influencers, and key stakeholders in the decision process, and build trusted advisor relationships with them to help bring more engineering organizations onto the Sourcegraph platform. Leverage a consistent sales process to build and advance a pipeline of complex, high-value opportunities, accurately capturing deal progress and weekly forecast updates. 📅 Within six months, you will… Build trusted relationships with developers, engineering leaders, and execs. Identify and nurture champions, multi-thread with economic buyers, and start to close strategic opportunities. Collaborate cross-functionally with Solution & Field Engineering, Product, Legal and Engineering to successfully drive technically unique or complex Enterprise deals forward to completion. Actively contribute product feedback to the team and influence our roadmap with insights from the field. Handle the full sales cycle to consistently meet and exceed pipeline and revenue objectives. 📅 Within one year, you will… Be a top-performing Strategic Account Director, exceeding pipeline, expansion, and revenue goals. Lead enablement for future team members by defining best practices for navigating high-value enterprise sales in an AI-first market Be seen as a thought partner to product and execs as we scale Sourcegraph across our highest-value, most strategic customers. About you You are results-oriented and motivated, with a rare combination of entrepreneurial drive, technical curiosity, and executive presence. You are laser-focused on generating new greenfield opportunities and driving expansion within the world’s most innovative enterprises with 5,000+ developers. You are excited about the future of AI in software development and want to be part of building that future. You thrive in ambiguity, adapt quickly, and are motivated by ownership, results, and impact. Your skill-set: 10+ years of B2B SaaS sales experience Proven ability to own customer relationships end-to-end, serving as the primary point of contact for engagement, account strategy, and growth. Methodical approach to executing complex deal strategies Proven success selling to developers, engineering managers, and VPs of Engineering Comfortable navigating a top-down strategic motion Excellent storytelling and discovery skills; you know how to build trust and uncover pain A strong understanding of developer tools, DevOps workflows, and AI trends Uses account research and customer usage data to prioritize accounts and identify expansion opportunities Demonstrated success leading complex, multi-stakeholder deals Expertise with security, licensing, and compliance requirements Confident and curious: you learn the product, demo it well, and aren’t afraid to go off-script High agency: you build rather than wait, take ownership of your business, and thrive in a fast-moving, competitive space Bonus points if you have: Experience at developer-first companies Sold a consumption-based or usage-based product Technical background or deep curiosity about agentic AI and coding workflows Level 📊 This job is an IC6. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay you an above-average salary because we want to hire the best people who are fully focused on helping Sourcegraph succeed, not worried about paying bills. As an open and transparent company that values competitive compensation , our compensation ranges are visible to every single Sourcegraph teammate. To determine your salary, we use a number of market and data-driven salary sources, along with your location zone, and target the high-end of the range to ensure we’re always paying above market regardless of where you live in the world. 💰The target compensation for this role is $180,000 USD base + $180,000 USD variable ($360,000 USD on-target-earnings). 📈 In addition to our cash compensation, we offer equity (because when we succeed as a company, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 4.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30 min] Recruiter Screen [30 min] Hiring Manager screen with Global Head of Sales 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [45 min] Peer with an Account Executive & Solutions Engineer [60 min] Resume Deep Dive [45 min] Sales Presentation with Regional Sales Director, Global Head of Sales, CRO [30 min] Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically [30 min] Leadership with CRO We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: São Paulo or Fortaleza, Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. Job Overview Exadel is seeking a Senior Software Engineer (Java, Murex) with strong Murex expertise to join a leading Capital Markets initiative. This role requires deep technical knowledge of Java development, hands-on experience with Murex, and a strong understanding of financial products and trading systems. The successful candidate will work closely with business stakeholders, architects, and engineering teams to design, develop, and support scalable solutions within a complex financial environment. Location: Fortaleza or São Paulo, Brazil About the Client Our customer is a leading global financial institution with a strong presence across Capital Markets and Financial Services. The organization operates in a highly technology-driven environment where reliable, resilient, and high-performing trading systems are critical to business operations. The technology teams work closely with front-office trading desks, developers, quants, and business stakeholders to support sophisticated financial applications and ensure seamless technology operations across global markets. What You’ll Do Design, develop, and maintain enterprise-grade Java applications supporting Capital Markets platforms and business functions Customize and configure Murex components, including workflows, datamarts, interfaces, reporting solutions, and integrations Develop and support real-time and batch integrations between Murex and upstream/downstream systems Analyze business requirements and translate them into scalable, maintainable technical solutions Collaborate with business users, analysts, architects, and technology teams to deliver high-quality solutions Optimize application and database performance through effective design and tuning strategies Participate in Agile ceremonies, code reviews, automated testing, and CI/CD processes Leverage AI-assisted development tools to improve productivity, code quality, testing, and documentation Identify opportunities to automate development and operational processes through AI-enabled solutions Contribute to technical discussions and best practices related to architecture, integration, and system scalability What You Bring Strong hands-on experience in Java development, including object-oriented design, multithreading, collections, performance optimization, and enterprise application development Extensive experience working with Murex across one or more functional areas, including Front Office, Market Risk, Credit Risk, Back Office, Collateral Management, Regulatory Reporting, or Integration Experience with Murex customization and configuration, including workflows, datamarts, interfaces, reporting, and integration development Strong understanding of Capital Markets products including FX, Fixed Income, Equities, Commodities, Derivatives, and structured products Experience designing and developing real-time and batch integrations between Murex and external systems Proficiency with SQL and database technologies such as Oracle, SQL Server, and PostgreSQL Experience tuning and optimizing complex database queries Experience with Git, CI/CD pipelines, automated testing, code reviews, and Agile delivery methodologies Ability to analyze complex business requirements and translate them into scalable technical solutions Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Gemini, Cursor, or similar platforms Ability to identify and implement opportunities for AI-driven automation across software development, testing, code quality, and operational processes Strong communication and stakeholder management skills with the ability to collaborate effectively across business and technology teams Nice to have Experience with cloud technologies and cloud-native application development Familiarity with APIs and microservices architectures Experience with containerization technologies such as Docker and Kubernetes Exposure to large-scale financial systems and enterprise integration environments English level Intermediate/Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Задачи: — Разработка и поддержка функционала мобильного приложения на React Native, веб-панелей на React с TypeScript и бэкенда на Go — Использование AI-агента в IDE (VS Code) для написания, рефакторинга и отладки кода — Интеграция фронтенда с REST API бэкенда — Участие в код-ревью, написание понятного и поддерживаемого кода — Деплой и мониторинг сервисов в облаке AWS — Документирование выполненной работы и поддержание истории изменений в актуальном состоянии Требования: — Базовые знания нескольких технологий из стека: React Native, Go, React, TypeScript — Знания AWS (EC2, ECS, S3, чтение логов) — Уверенное владение VS Code — Опыт работы с AI-агентами в IDE (Claude Code, Cursor, Copilot и др.) — Навыки постановки задач агенту, проверки и доработки результатов — Опыт работы с Git (commit, push, branch, pull request) — Английский язык на уровне чтения технической документации — Желание быстро обучаться и осваивать новые технологии Будет плюсом: — Знания PostgreSQL / SQL — Опыт работы с Docker, CI/CD (GitHub Actions) — Опыт работы с Terraform и инфраструктурой как код — Понимание REST API, WebSocket — Опыт публикации мобильных приложений в App Store / Google Play Условия: — Работа над современным проектом с AI-first процессом разработки — Сильная команда и менторство — Реальная зона ответственности с первого дня — Зарплата от 6 000 000 сум в месяц на испытательный срок с возможным ростом до 8 000 000 сум — Бонусы по результатам работы от 50 до 200 долларов после испытательного срока — Опционы после квалификационного периода от 100 до 200 долларов — Влияние на развитие быстрорастущей e-commerce платформы нового поколения — Культура, ценящая любознательность, ответственность и инициативу

Формировать продуктовую стратегию и приоритеты развития системы. Разобрать текущие процессы сети: сопровождение, IT, маркетинг, склад, открытия, работа клубов, поддержка франчайзи.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. MARKETING OPS IS ONE OF ALAN'S HIGHEST-LEVERAGE FUNCTIONS. It sits at the intersection of marketing strategy, data, and technology — turning systems into growth engines and ensuring every touchpoint with prospects and members is timely, relevant, and scalable. Alan is growing fast across France, Belgium, Spain, and Canada. But today we're leaving value on the table. On the prospect side, we drive more traffic but can't convert it properly: no scoring, no intelligent routing, no nurturing that adapts to buying intent. On the member side, messaging is one of our primary touchpoints for engagement, retention, and trust — yet nobody operates it strategically. Personalization stays shallow, communication pressure goes unmonitored, and shipping a message often means filing an engineering ticket. We need Marketing Ops leaders who can architect scalable systems, operate them strategically, and progressively embed AI into workflows — to raise quality, reduce manual execution, and unlock growth without scaling headcount linearly. ⭐️ THE MARKETING OPS JOB ⭐️ We are hiring two Marketing Operations Managers, each embedded in a different crew: - Growth Infrastructure — focused on prospect acquisition: building a unified lead engine that captures, scores, routes, and nurtures across all channels - Product Platform — focused on member lifecycle messaging: operating Alan's messaging stack as a scalable service across 1.7M+ profiles Both roles share the same DNA: strong marketing ops fundamentals, data fluency, a product mindset, and the ability to be both hands-on and strategic. Crew placement will be determined based on the candidate's experience, interests, and fit during the hiring process. Why is this role interesting? - Speed: marketing, product, and sales teams ship campaigns and messages confidently — Marketing Ops turns bottlenecks into force multipliers across every crew - Trust: clean data, governed attributes, proper segmentation, and enforced rules mean the right person gets the right message at the right time - Scale: as we grow to millions of members across multiple countries, we need operators who keep our platforms clean and the user experience protected — without scaling headcount linearly - AI at the frontier: this isn't a maintenance role — you'll identify high-priority use cases for AI agents, train and refine them to a senior marketer's quality bar, and drive real adoption What will you do with us? You'll be a partnership with marketers — not a service desk. You'll partner closely with engineers, data, designers, and cross-functional stakeholders (PMMs, sales, growth, product) within a PM-Tech duo crew model. Regardless of crew, you will own a core set of capabilities: - Marketing Automation & CRM: own and optimize our marketing stack (Customer.io http://Customer.io, CRM integrations); build automations that enable marketers to launch campaigns independently, at scale, across all geos - Data Model & Governance: maintain CRM data quality, attribute/event design, and database hygiene as a sustained practice - Segmentation & Lifecycle Design: design and maintain lifecycle stages, segmentation logic, routing rules, and re-engagement flows across multiple audiences and geos - Nurturing Infrastructure: own the nurturing stack and campaign processes; make launches autonomous and compliant - AI-First Operations: identify, build, and refine AI agents for email copywriting, lead scoring, next-best-action recommendations, and content generation — making marketers AI-powered, not replacing them - Performance Monitoring: track the full funnel from first touchpoint to conversion; identify leakage and prioritize from data - Documentation & Enablement: create playbooks, train teams on tools and processes, reduce the marginal cost of new campaigns Then, depending on your crew: Growth Infrastructure — you'll build a unified lead engine (no more tool-by-tool silos), design lead scoring and routing models, crack multi-channel activation (email, WhatsApp, Voice AI), build AI agents that pre-qualify and enrich leads, and maintain a live feedback loop with BDRs, AEs, and Inbound Sales. Product Platform — you'll operate Customer.io http://Customer.io and back-end triggered emails as one governed system, monitor communication pressure and enforce channel rules, define and enforce recipient lifecycle paths, drive 100% Design Studio adoption, and co-own outbound messaging strategy with PMMs and product teams. By your first year, we'll know it worked when: - At least one AI agent is in production on a key use case (email nurturing, lead categorization, content generation), with a second scoped or live, and adoption is real - Any marketer or product Alaner can launch a campaign or ship a message without bottlenecking through ops or engineering - CRM data model, attributes, and segments are properly owned, documented, and clean — the data we see is data we can act on - Every contact has a documented path through our messaging — segmentation is sharp, messaging is relevant, and pressure is monitored - Marketing's contribution to acquisition and engagement is visible and quantifiable, from first touch to conversion ⭐️ IS IT YOU WE ARE LOOKING FOR? ⭐️ You'll be a great fit for this opportunity if you: - Have 5+ years in Marketing operations, growth ops, CRM ops, lifecycle marketing, or lead generation in a tech environment (B2B, B2C, or B2B2C) - Have hands-on experience managing marketing automation platforms at scale (Customer.io http://Customer.io, Braze, Iterable, HubSpot, Marketo, Pardot, Salesforce, or equivalent) - Have a strong understanding of CRM data models — attribute/event design and data hygiene as a sustained practice - Can frame and implement processes for lead scoring, nurturing, segmentation, and personalization - Have a product knack: you can define what's not working, identify what to build next, and see problems as opportunities to bring more value - Bring data fluency and analytical rigor: you read platform and campaign data, surface anomalies, and draw business insights - Can be both hands-on and think strategically — you drive the big picture while staying close to execution - Have strong stakeholder management skills — you'll partner daily with engineering, product, sales, and marketing teams - Can manage multiple projects simultaneously in a fast-moving environment - Communicate with excellent written and spoken English - Are impact-driven with a strong bias towards improving processes For this opportunity, we are aiming to hire within the C0-D level range https://alan.com/en/careers/a/salary-equity. 🙌 PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary, for permanent contracts only. - Flexible office with hybrid setup. Amazing office space at our Paris HQ or sponsored co-working hubs in Bordeaux, Lyon, Marseille, Nantes, Biarritz, Annecy, Brussels, Madrid or Barcelona. - All the tools you need. Top of the range equipment: Macbook Air, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Generous transit benefit - Learning & Training opportunities. A highly flexible training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents, for permanent contracts only. Important note: we hire people not roles. After reading this job description, if you feel like you don’t have all the necessary prerequisites but that it matches where you are now or what you'd like to grow into in your next position, we encourage you to apply! Not everybody will enter our recruitment process, but all, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

Responsibilities: — Define and own product strategy across Distru ERP, Distru Commerce, Order Agent, Distru Analytics, and the AI product suite with accountability for revenue and growth. — Lead the AI product suite development including unified data layer, agent builder, workflow builder, MCP, and headless experience. — Evangelize AI vision internally and externally, identifying product-market fit and new market opportunities. — Grow the product team from 4 to 8+ members, structuring it to serve existing ERP and Commerce customers and build new AI-first product lines. — Manage the product timeline as the company's source of truth for shipping schedules. — Implement AI-first product processes for planning, specification, design, and shipping. — Collaborate closely with CEO, VP of Engineering, Head of Sales, Head of Go-to-Market, and product team. — Own product hiring pipeline, set hiring standards, manage and coach the product team including performance management. — Set PRD standards, review PRDs, designs, mockups, and lead adoption of AI-first product processes. — Establish operating cadence with engineering, defining clear ownership between product and engineering. — Work with GTM on launches, feature enablement, AI-forward content, and maintain high-quality MCP, API docs, and knowledge base. — Run feedback loops from customers, CS, and Sales, build key customer relationships, and track feature adoption company-wide. Requirements: — 10+ years in product management with at least 4 years leading product teams. — Proven product leadership including building and running product organizations, hiring, coaching, and making tough personnel decisions. — Experience shipping AI product lines such as MCPs, Agent Builders, Workflows, Copilots in production. — Deep technical knowledge of modern SaaS and AI stacks including infrastructure, data, AI models, full-stack development, and production concerns like reliability and observability. — Outcome-oriented with ability to measure product decisions by revenue impact. — Hands-on approach including writing PRDs and working closely with engineers. — Strong AI fluency: building with AI tools, setting AI-first processes, evaluating AI workflows with observability and feedback loops. — Experience in ERP, accounting, cannabis, or supply chain software is a strong plus. — Experience leading product at a B2B SaaS company at a similar stage. — Founder experience is a plus. Benefits: — Fully remote position across 4 continents. — Competitive salary range $250,000 - $400,000 per year depending on experience and skills. — Equity included. — Employee-friendly option terms with a 10-year exercise window after 2 years. — 18 days PTO plus 11 holidays (sick days excluded). — Medical, dental, vision, and 401(k) for US employees. — Access to best AI tools and a generous AI stipend. — Yearly in-person team offsites. — Company-wide AI growth initiatives including classes, workshops, demo days, and hackathons. Interview process includes application questions about AI experience, leadership interview, AI product-market fit discussion, co-building session, technical leadership interview, take-home assignment, team meetings, and references. For full details and benefits visit distru.com/careers.

Location: Intellias Meet your recruiter Bohdana Rubets bohdana.rubets@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Senior Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for a Senior Data Engineer to join a digital healthcare initiative focused on building a large-scale health data platform that helps millions of people discover healthcare providers, connect with their health information, and make better-informed care decisions. This is a hands-on, high-ownership engineering role for someone experienced in building and operating data-intensive systems at scale. You will own critical data ingestion and processing capabilities, improve data quality and reliability, and develop AI-powered solutions for complex real-world healthcare data challenges. We are looking for an engineer who combines strong Python and data engineering expertise with cloud-native development, production ownership, and an AI-first engineering mindset . What project we have for you The project is building a FHIR-based healthcare data platform that aggregates provider information from national registries, EHR systems, healthcare networks, and partner data feeds. The platform ingests fragmented and often inconsistent healthcare data, transforms it into standardized FHIR resources, resolves duplicate identities and relationships, and makes trusted provider information available through high-scale search and data services. The engineering challenge goes well beyond traditional ETL. Provider data comes from hundreds of heterogeneous sources and contains duplicates, outdated records, conflicting identities, incomplete relationships, and inconsistent schemas. The platform must determine how these sources relate and continuously improve the accuracy and confidence of the resulting data. The technology landscape includes Python, Apache Spark, Prefect, AWS, Kubernetes, MongoDB, OpenSearch, and FHIR , with AI increasingly used both as part of the engineering lifecycle and within data-processing solutions. What you will do Design, build, and operate scalable data ingestion pipelines that onboard healthcare provider data from EHR systems, national registries, healthcare networks, and partner feeds. Transform heterogeneous source data into standardized, trusted data models, including FHIR-native resources . Own data quality end-to-end , including validation rules, quality thresholds, confidence scoring, automated monitoring, and alerting. Design and implement solutions for entity resolution, deduplication, relationship inference, classification, enrichment, and data quality scoring . Build and evolve distributed data processing pipelines using Python, Spark, and modern orchestration technologies . Improve pipeline reliability, scalability, observability, and performance so that new data sources can be onboarded efficiently and safely. Establish and evolve data governance standards , including schemas, staging models, validation processes, and data refinement workflows. Design and operate data storage and search solutions supporting large-scale healthcare datasets. Build AI-powered data tooling that improves the accuracy, automation, and intelligence of data processing workflows. Use modern AI development tools as an integral part of the engineering workflow to accelerate implementation, testing, debugging, documentation, and data analysis. Own production operations for the solutions you build, including monitoring, troubleshooting, incident response, and root-cause analysis. Partner with Analytics and Data Science teams to develop data quality dashboards, metrics, and reporting. Collaborate with Product and Business stakeholders to prioritize data sources and improvements based on customer and business impact. Contribute to technical design reviews and help establish scalable engineering patterns across the broader data platform. What you need for this 5+ years of professional experience building and operating data-intensive backend or data engineering systems at scale. Strong hands-on expertise in Python , including development of production-grade data processing and backend services. Strong experience designing and building scalable data ingestion and ETL/ELT pipelines for large and heterogeneous datasets. Sound data engineering instincts, including data modeling, storage design, schema evolution, query optimization, caching strategies, and selecting appropriate batch or streaming processing patterns. Hands-on experience with Apache Spark or Databricks for distributed data processing. Experience with workflow orchestration technologies such as Prefect, Apache Airflow , or equivalent. Strong understanding of data modeling, schema design, validation strategies, data transformation, and data quality management . Experience designing solutions for data deduplication, entity resolution, data enrichment, classification, or record linkage . Experience with both relational and document-oriented databases; practical knowledge of technologies such as MongoDB or comparable NoSQL platforms. Experience with search technologies such as OpenSearch, Elasticsearch , or comparable solutions. Strong AWS experience, including services such as S3, ECS/EKS, Lambda , or equivalent cloud-native technologies. Hands-on experience with Docker, Kubernetes, CI/CD , and operating cloud-native workloads in production. Strong understanding of production data pipeline concerns including reliability, fault tolerance, observability, monitoring, alerting, and incident response . Experience establishing and maintaining data governance standards , schemas, validation rules, and repeatable data refinement processes. Practical experience using AI-assisted software engineering tools as part of the regular development lifecycle. Strong ownership mindset and ability to independently identify data or engineering problems, propose solutions, implement them, and operate them in production. Strong communication skills and ability to collaborate directly with engineering, analytics, product, data science, and business stakeholders. Professional English sufficient for direct collaboration with U.S.-based teams. Experience working with healthcare data, HealthTech platforms, or healthcare interoperability . Knowledge of FHIR , particularly resources such as Practitioner, Organization, PractitionerRole, Endpoint, and Location. Experience integrating data from EHR/EMR systems, healthcare registries, provider networks , or similar complex data ecosystems. Experience designing data platforms handling PHI/PII or other regulated and sensitive information . Familiarity with HIPAA-related data protection and security considerations. Nice to Have Experience building AI-powered data processing solutions , particularly entity resolution, relationship inference, classification, enrichment, anomaly detection, or data quality scoring. Practical experience integrating LLMs into production data workflows , including evaluation, reliability, latency, cost, and data-protection considerations. Experience with AI engineering tools such as Claude Code, GitHub Copilot, Cursor , or similar platforms. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Python Spark

• Реализовывать фичи по готовым описаниям и доводить их до релиза в прод. • Разбирать и чинить баги: диагностика, фиксы и проверка на проде.

Location: AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role and its impact Help shape how People Experience services work from start to finish as Xero moves towards an AI-first way of working. You’ll turn complex employee journeys into simpler, more joined-up experiences, using the right mix of self-service, automation, AI and expert human support. You’ll work across People Experience and enterprise teams, taking selected high-impact ideas from discovery through design, pilot and handover. Service owners keep running their services, and you’ll make sure everyone knows who owns what so improvements stick. The team and how they connect You’ll join the Employee Programmes and Delivery team, a small group of utility players who spend their time working out what’s going wrong for people and fixing it in a way that sticks. We Go Together by bringing the right people in early, whether that’s service owners, operations, policy or systems. We try things small before we scale them, and we check whether they helped, not just whether we shipped them. Initially, you will focus on - Getting close to the work by spending time with Employee Experience, Employee Shared Services, PX Systems and service owners, so it’s clear where you lead and where you partner. - Listening to employees, people leaders and service teams to find the journeys where change will matter most. - Mapping those journeys end to end, finding root causes and shaping a practical future state across self-service, automation, AI and human support. - Taking one well-scoped improvement into a governed pilot, with clear measures and a plan to hand it over to the team who runs it. Where and how you can work This role is based in Melbourne or Wellington. Xero is hybrid with no mandated office days, and most of the team come in around two days a week. A few of us work remotely, and we keep things workable for anyone who does. The team is mostly based in Australia and New Zealand, so we share working hours and can work things through together. Important things get shared in writing, and we look at the impact you have, not how visible you are. Here are some of the things we are looking for - You’ll Go Bold by rethinking journeys from the ground up, using methods such as journey mapping, service blueprinting and root-cause analysis. - A knack for seeing how people, processes, policies and technology fit together, and for making roles and handoffs clear. - A track record of taking ambiguous, cross-functional work from discovery through pilot to handover, and knowing when to steer and when to partner. - Curiosity about where AI and automation genuinely help, with sensible human oversight built in, and a habit of testing small and learning fast so you Go Fast without cutting corners. - The ability to build trust quickly, influence service owners without formal authority, and explain your thinking in plain language to technical and non-technical partners. - A desire to Go Further by sharing what you know, through reusable tools, playbooks and coaching that help others improve their own practice. Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A real human recruiter reviews all candidates before any hiring action is taken.

Location: NZ: Wellington: Xero One (19-23 Taranaki St) Workplace: Hybrid The role and its impact Help shape how People Experience services work from start to finish as Xero moves towards an AI-first way of working. You’ll turn complex employee journeys into simpler, more joined-up experiences, using the right mix of self-service, automation, AI and expert human support. You’ll work across People Experience and enterprise teams, taking selected high-impact ideas from discovery through design, pilot and handover. Service owners keep running their services, and you’ll make sure everyone knows who owns what so improvements stick. The team and how they connect You’ll join the Employee Programmes and Delivery team, a small group of utility players who spend their time working out what’s going wrong for people and fixing it in a way that sticks. We Go Together by bringing the right people in early, whether that’s service owners, operations, policy or systems. We try things small before we scale them, and we check whether they helped, not just whether we shipped them. Initially, you will focus on - Getting close to the work by spending time with Employee Experience, Employee Shared Services, PX Systems and service owners, so it’s clear where you lead and where you partner. - Listening to employees, people leaders and service teams to find the journeys where change will matter most. - Mapping those journeys end to end, finding root causes and shaping a practical future state across self-service, automation, AI and human support. - Taking one well-scoped improvement into a governed pilot, with clear measures and a plan to hand it over to the team who runs it. Where and how you can work This role is based in Melbourne or Wellington. Xero is hybrid with no mandated office days, and most of the team come in around two days a week. A few of us work remotely, and we keep things workable for anyone who does. The team is mostly based in Australia and New Zealand, so we share working hours and can work things through together. Important things get shared in writing, and we look at the impact you have, not how visible you are. Here are some of the things we are looking for - You’ll Go Bold by rethinking journeys from the ground up, using methods such as journey mapping, service blueprinting and root-cause analysis. - A knack for seeing how people, processes, policies and technology fit together, and for making roles and handoffs clear. - A track record of taking ambiguous, cross-functional work from discovery through pilot to handover, and knowing when to steer and when to partner. - Curiosity about where AI and automation genuinely help, with sensible human oversight built in, and a habit of testing small and learning fast so you Go Fast without cutting corners. - The ability to build trust quickly, influence service owners without formal authority, and explain your thinking in plain language to technical and non-technical partners. - A desire to Go Further by sharing what you know, through reusable tools, playbooks and coaching that help others improve their own practice. Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A real human recruiter reviews all candidates before any hiring action is taken.

Location: Remote, Worldwide Workplace: remote About Distru Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack. We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor. Get to know the team, our culture and our full benefits at distru.com/careers! The Role AI is at an inflection point for enterprise use, and AI assistants like Claude, Codex, and Grok are seeing record adoption at work. We believe the system of record has never been more valuable for organizing the data AI acts on. We started with our AI Order Agent, now rolled out across our customer base, which lets buyers submit orders from any source in any format. It's the first piece of a much bigger agentic ecosystem we’re building, and we're moving most of our engineering effort to AI-first work to build it. You'll work directly with our Director of AI Engineering to own the technical buildout of our AI product suite, including: Agentic harness: a multi-agent system that safely operates across a business's core tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems) MCP: our MCP that connects Distru to external AI harnesses Context Layer: our context layer that ingests customer data, builds memories and profiles, and feeds back into our harness to create more personalized AI experiences for our customers Evals: the eval suites that make our agents reliable in production And more… You’ll be working directly on the AI system from the ground up and make strong, opinionated calls on the agentic stack and where it goes next. The AI space moves fast and the specifics will change, so this technical vision is something you'll mold. You'll report to the VP of Engineering and the Director of AI Engineering, and work closely with the rest of the product team, eng team, and our customers. What you'll do Agentic engineering Architect and build a production multi-agent system that can safely take actions across Distru and our customer’s core systems Iterate and maintain the MCP that connects Distru to Claude & Codex. Own reliability, observability, and durable execution end to end. The harness takes real actions on customers' data, so the bar is high. Write evals to improve our agentic systems from real customer use cases Build a unified data system that pulls data from multiple sources into a singular data layer that can be exposed to Claude & Codex via an MCP Build a contextual memory system that ingests our customers' data and improves how our agents work for them Set the architectural standards for how agents are built, tested, and shipped at Distru, and bring the rest of eng along AI research & experimentation Keep pace with the latest agentic frameworks, harnesses, toolkits, models, and bring in better approaches as they emerge Rapidly prototype new ideas to present to our team and our customers Engineering workflow Build hands-on with Claude Code and similar tools as part of your own workflow Improve our agentic coding workflow and bring new discoveries to the team What success looks like at 6 months You've shipped core improvements to our harness in production that our customers use daily, with clear observability and iteration for improvement You’ve shipped and iterated on many MCP tools and improvements Every agent you own has an eval suite and observability, so the team catches regressions before customers do You own the architecture of the agentic stack, and other engineers build against patterns you set You’ve built prototypes on how our agentic infrastructure can improve (i.e. a new way to retrieve memories, an agentic onboarding process for our customers) You’ve raised the technical bar on at least one thing the team was doing the slow way What we look for AI fluency For every AI role, we look for three things: Tool fluency: you build with Claude Code or similar every day, you've built your own skills, agents, or workflows, and you can explain why your setup looks the way it does. Workflow fluency: you write evals before you trust a prompt, and you know when a model is the wrong tool and plain code is the right one. Build fluency: you've put agents in front of real users, with guardrails, observability, and a way to roll back. You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it. Must have 7+ years in full-stack development, ideally on B2B SaaS applications Multi-agent harnesses: hands-on experience building multi-agent harnesses in production, not just prototypes or personal projects MCPs: you've built MCPs that are used in production Production systems: a strong grasp of reliability, observability, permissions, and safe workflow execution Product and engineering: you've operated as both, and you're comfortable owning scoping and decisions, not just implementation Modern stack: proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, and you pick up new tools and frameworks quickly Startup agility: you've worked at an early-stage startup (under 20 engineers) and you’ve been the one setting direction in that ambiguity, not waiting for it Low ego: you're team-first and measure success by what shipped and whether it worked, not by internal politics Influence : you’ve shaped roadmap, not just executed it Clear communication: you raise concerns and propose solutions before being asked Strong signal Background building supply chain, ERP, CRM, B2B marketplace, or accounting software UX design experience Agentic systems work beyond the must-haves, such as evaluation frameworks or agent-to-agent protocols Experience using Claude Code (or similar) to build products on your own Cannabis industry experience How we work We love building with AI. Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools. Taste in building. A lot of this role comes down to knowing what to build, what to cut, and what a great agentic experience feels like for the user. We stay close to the customer. You'll talk to customers and our GTM team directly, not through a chain of tickets. You'll build on what we've learned. You'll have access to the team's combined AI knowledge and the processes and skills we've built. For the full picture of our culture and who thrives here, see distru.com/careers . Benefits Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru. Here are a few highlights (exact benefits vary by country and employment type): Fully remote across 4 continents Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave 18 days PTO + 11 holidays (sick days don't count toward PTO) Medical, dental, vision + 401(k) for US employees The best AI tools available and a generous AI stipend for everything else Yearly in-person team offsites Interview process Application questions: three short written questions in Lever on how you build with LLMs Recruiter screen (30 min): your background, the most complex AI product you've worked on, and your personal AI tool stack Technical interview (45–60 min): a deep dive into a complex product you've built, a live harness design discussion, and a screen-share walkthrough of your day-to-day setup Harness take-home (3–4 hours): spec a real feature on our agentic harness across product and UX, system design, and implementation details Take-home review (60 min): a technical deep dive into your submission with two engineers, including how your design holds up when a constraint changes References and offer Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world. Where you land in the range depends on your experience and skills.

Location: United Kingdom (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 fully remote position and we're considering candidates in the UK. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In the UK, the base compensation range for this role is GBP 94,508 - 113,410 . 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 fully remote position and we're considering candidates in the US EST. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In the United States, the base compensation range for this role is $167,143 - $200,572 . 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: Sweden (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 fully remote position and we're considering candidates in Sweden. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In Sweden, the base compensation range for this role is SEK 814,216 - SEK 977,059 . 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: Spain (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 fully remote position and we're considering candidates in Spain. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In Spain, the base compensation range for this role is EUR 85,478 - EUR 102,573 . 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: Republic of Ireland (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 fully remote position and we're considering candidates in Ireland. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In Ireland, the base compensation range for this role is EUR 107,120 - 128,544 . 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: Germany (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 fully remote position and we're considering candidates in Germany. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In Germany, the base compensation range for this role is EUR 99,945 - EUR 119,934 . 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 fully remote position and we're considering candidates in Canada EST. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In Canada, the base compensation range for this role is $170,247 CAD - $204,297 CAD . 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 .