
Public Cloud Group · Germany
„Cloud ist deine Welt – egal ob AWS, Microsoft, Google oder SAP? Dann passt du zu uns! Bei Public Cloud Group (PCG) begleiten wir Unternehmen dabei, ihre IT-Lan...
„Cloud ist deine Welt – egal ob AWS, Microsoft, Google oder SAP? Dann passt du zu uns! Bei Public Cloud Group (PCG) begleiten wir
Unternehmen dabei, ihre IT-Landschaften in der Cloud modern, sicher und zukunftsfähig zu gestalten.
Fast 500 Cloud-Expert:innen an 21 Standorten innerhalb Europas sind schon Teil unseres Teams – und wir wachsen weiter. Hast du
Lust, dein Know-how bei uns in PCG DACH einzubringen, in einem Team, das genau so Cloud-verrückt ist wie du?“
Mehr darüber, wie die Arbeit bei uns aussieht, kannst du auf unserer Karriereseite erfahren.
Worum geht´s?
Als Data & AI Engineer (w/m/d) in unserer Hyperscaler-agnostischen Data & AI Area bist du die strategische und gestaltende Kraft,
um State-of-the-Art Machine Learning und Generative AI in die echte Business-Anwendung bei unseren DACH-Kunden zu bringen. Du bist
weit mehr als eine technische Ressource: Du begleitest zukunftsweisende AI-Initiativen als Trusted Advisor von der ersten
kreativen Vision bis hin zur stabilen, skalierbaren Architektur.
In dieser Rolle nutzt du deine Souveränität in modernen Cloud-Strukturen (AWS, Google Cloud oder Microsoft Azure), um Managed
AI-Dienste wie Vertex AI, AWS Bedrock oder Azure AI Foundry geschickt zu orchestrieren. Du entwickelst intelligente Agentic
Workflows, integrierst Sprachmodelle (LLMs) und baust durchdachte RAG-Architekturen auf. Dein Ziel ist es, technologische
Innovationen mit exzellentem Consulting und Engineering-Exzellenz zu verbinden, um messbare Mehrwerte zu schaffen und die
Business-Ziele unserer Kunden Wirklichkeit werden zu lassen.
Ideation (PoC) bis zum erfolgreichen produktiven Rollout ihrer AI-Anwendungsfälle.
um komplexe geschäftliche Herausforderungen unserer Kunden nachhaltig zu lösen.
den Aufbau moderner Agentic Tools direkt beim Kunden.
Vertex AI und Azure AI Foundry, um technologische Potenziale voll auszuschöpfen.
und Engineering deren reibungslose Einbindung in echte Produktivsysteme.
entwickelst unsere "Data & AI Area" durch deine Impulse aktiv weiter.
mit Machine Learning, AI und moderner Datenverarbeitung auseinandergesetzt hast.
strategischen Entscheidungen sicher zu begleiten.
Microsoft Azure) zu Hause und weißt, wie man deren Potenziale nutzt.
unsere Kundenprojekte ein.
und Lösungen darin umgesetzt.
Workflows (z. B. via LangChain oder LlamaIndex) gestaltet.
nahtlos und stabil in bestehende Kundensysteme zu integrieren.
Snowflake), um die Datenaufbereitung für deine Modelle selbstständig voranzutreiben.
hast Lust, diese bei uns mit unserer Unterstützung zu erwerben. Bestenfalls bringst Du Kenntnisse in AWS Bedrock mit.
aus Experten.
unserer Offices in Deutschland (Magstadt, Darmstadt, Berlin, München, Hamburg, Köln, Ulm, Heidelberg, Frankfurt).
weitere Extras für dein Leben abseits des Laptops.
Wir freuen uns auf Dich!
Bei uns zählt das Talent, nicht das Etikett – wir heißen Bewerber:innen jeglicher Herkunft und Identität herzlich willkommen,
unabhängig von Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Weltanschauung, Behinderung, Alter sowie sexueller
Orientierung und Identität.
We at PCG have an in-house recruitment team, which focuses on sourcing great candidates directly. PCG does not accept unsolicited
resumes from agency or search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an
agreement in place is hired. When we do use agencies, we have a PSL in place, so please do not contact managers directly.
SENIOR ACCOUNT EXECUTIVE (M/W/D) We are Workerbase - a fast-growing B2B software company on a mission to digitize and transform shopfloor operations. Our platform empowers frontline workers with real-time data, AI, and dynamic workflows, replacing rigid, paper-based processes in manufacturing. Today, Fortune 500 manufacturers like Porsche, Siemens, Bosch, thyssenkrupp, BASF, and many more rely on Workerbase to improve efficiency, reduce scrap, and achieve measurable ROI in less than six months. Backed by top-tier investors including Point Nine, Almaz Capital, and Porsche Ventures, we are scaling rapidly - and now we’re looking for a Senior Account Executive to help us drive the next phase of enterprise growth. If you see sales as strategic advisory, enjoy complex enterprise deals, and want to build something that truly matters - keep reading 👇 ⭐ What makes this role so great: Have a real impact 🚀 * You own enterprise sales end-to-end and directly influence Workerbase’s growth trajectory - from first conversation to global rollout. More than just selling ✌️ * You’re not selling just licenses. You’re advising manufacturers on how to fundamentally improve how their factories run. Enterprise exposure & deal sizes 💰 * Work on six-figure ACVs with a clear path to multi-million-euro global rollouts through a proven land & expand strategy. Full ownership & autonomy 🎓 * You shape deal strategy, build winning game plans, and help define scalable sales processes - no micromanagement. Startup speed, enterprise substance 🏎️ * Combine the agility of a fast-scaling startup with the credibility of selling a proven platform to global market leaders. Leverage a powerful partner ecosystem 🤝 * .Accelerate deals by co-selling with an established network of industrial consulting and technology partners, unlocking larger deal sizes and faster enterprise rollouts. Enjoy the “cherries” 🍒 * Join at the right time: benefit from a ready-to-close pipeline with consistent inbound leads, while your ideas and contributions actively shape our sales motion, culture, and future growth. 🪄 What we will trust you with is * Owning the full sales cycle from qualification to close for complex enterprise deals * Engaging with C-level Operations, Plant Directors, and VP-level stakeholders * Driving consultative sales conversations around OEE, downtime, quality, and workforce efficiency * Managing and expanding key Fortune 500 accounts using a land & expand approach * Building structured deal strategies using methodologies like MEDDIC * Partnering closely with Solution Engineers, Marketing, and Customer Success to win complex evaluations, POCs, and ROI approvals * Contributing to scalable sales structures, best practices, and forecasting accuracy 🤝 We want YOU because: * You have 5+ years of experience in B2B SaaS sales, or as an consultant, ideally enterprise business * You’ve consistently closed or managed complex, high-value deals or customers with multiple stakeholders * You have experience selling into manufacturing, industrial, or operations-heavy environments (strong plus) * You combine strategic thinking with hands-on execution - builder mindset * You’re resilient, structured, and comfortable with long sales cycles (4–10 months) * You’re fluent in German and English (spoken and written) * You’re a strong communicator and storyteller who can connect business value to real-world impact * You take full ownership, challenge constructively, and thrive in a team of high performers 🎁 Some more cool things Workerbase can offer you: * The unique opportunity to drive a revolution in the manufacturing industry at Fortune 500 clients * Great responsibility right from the start and the opportunity to shape where our business is going * Growing team with diverse backgrounds to work with and learn from * Flexible and hybrid work environment * Competitive compensations and benefits packages * Learning & Development Budget * Sports & Wellness Subscription (Wellpass or Urban Sports) * Cool central office in Munich and legendary company events * Employee Stock Options to participate in the company’s success
ABOUT CLICKHOUSE Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the infrastructure to transform ClickHouse into a fully functional serverless database solution. Collaborating closely with the core database team, we are actively working on evolving ClickHouse into a cloud-native database system. Additionally, we engage with other cloud teams to drive continuous improvements in cloud infrastructure for enhanced performance and scalability. What will you do? * Build a cutting-edge cloud-native database platform on top of the public cloud. * Work on our in-house Kubernetes operator to support seamless infrastructure management. * Improve the metrics pipeline and build systems to generate better statistics and recommendations. * Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support infrastructure use cases as well as other internal infrastructure improvements. * Architecting and building a robust, scalable, and highly available distributed infrastructure About you: * 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. * Production experience with programming languages like Go, C++ or Java * You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver * Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2). * Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools). * You are passionate about solving data problems at Scale. * Experience working with distributed systems * You have excellent communication skills and the ability to work well within and across engineering teams. #LI-Remote COMPENSATION For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed. These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments. An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization. If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com [paytransparency@clickhouse.com]. PERKS * Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries. * Healthcare - Employer contributions towards your healthcare. * Equity in the company - Every new team member who joins our company receives stock options. * Time off - Flexible time off in the US, generous entitlement in other countries. * A $500 Home office setup if you’re a remote employee. * Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. Culture - We All Shape It As part of a rapidly scaling start up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here [https://clickhouse.com/company/careers]. Check out our blog posts [https://clickhouse.com/blog] or follow us on LinkedIn [https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true] to find out more about what’s happening at ClickHouse. Equal Opportunity & Privacy ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here [https://clickhouse.com/legal/applicant-privacy-notice] for our Privacy Statement.
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re 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 [http://grafana.com] and follow us on LinkedIn [https://www.linkedin.com/company/grafana-labs/] and X [https://twitter.com/grafana]. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. SOFTWARE ENGINEER - SYNTHETIC MONITORING The Opportunity: The Synthetic Monitoring squad builds and operates Grafana Cloud Synthetic Monitoring [https://grafana.com/products/cloud/synthetic-monitoring/], used by teams globally to proactively verify that their critical user journeys, APIs, and services work as expected - before their customers notice they don't. Synthetic Monitoring is a multi-tenant distributed system implemented in Go, running on Kubernetes across all major cloud providers (AWS, GCP, Azure), executing billions of synthetic tests each month from probe locations around the world and from customer-operated private probes. The product is in a scale phase, and our focus is on making Synthetic Monitoring a deeply integrated part of Grafana Cloud: connecting checks to real user experience and cross-product investigation workflows, making check results a trusted signal for AI-assisted workflows, and enabling large organizations to operate the product at enterprise scale on our infrastructure and on their own private probes. The role is full-stack in the real sense: the same engineer who designs how a check execution flows through scheduling, probes, and the telemetry pipeline should also be able to build the workflow that lets a user understand and act on the result. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Software Engineers who are passionate about building reliable systems and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks. What you'll be doing: As a Software Engineer on the Synthetic Monitoring squad, you will work across the whole system - Go services and agents on the backend, a TypeScript/React application on the frontend and you'll be expected to reason about it as one system, not two halves. Specifically, you will: * Own features end-to-end across the stack: from API and data model design in Go, through the execution pipeline, to the user-facing workflows in TypeScript/React * Design and evolve systems, not just features: contribute to architectural decisions on scheduling, probe lifecycle, telemetry ingestion, and API design that shape how the product scales * Build the cross-product and AI-assisted workflows that connect Synthetic Monitoring to the wider Grafana Cloud platform * Make the product operable at enterprise scale: the governance and organization primitives that let teams with hundreds of checks manage Synthetic Monitoring as code and with confidence * Break down complex, ambiguous problems into incremental deliverables and iterate quickly based on feedback * Ensure quality through testing, observability of your own systems, and documentation: our checks are something customers alert on, so reliability is a feature * Be a part of the team's on-call rotation and take ownership of the services you're running We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Technologies you'll work with: * Go (backend services, APIs, and the synthetic monitoring agent) * TypeScript / React (the Synthetic Monitoring app in Grafana) * Kubernetes across AWS, GCP, and Azure * k6 (the execution engine behind scripted and browser checks) * Grafana ecosystem (Mimir, Loki, Prometheus) What Makes You a Great Fit: * You are comfortable working in a remote-first company; communication is key. * For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team's decision. You are able to communicate design decisions clearly in written and spoken English. * Strong Go, or a path to it. We build Synthetic Monitoring in Go. Deep experience building and operating production backend systems in another systems language (Rust, Java, C++) translates well; backend experience limited to JavaScript/Node.js runtimes does not. * Operational mindset. You've run what you've built: you've owned production services, understand what it means to carry a pager, and treat reliability and toil reduction as part of the product. * You are a systems thinker: you reason about how components interact - data flow, failure modes, cost, and operational behavior - not just how a single feature works in isolation. * Pragmatism and short feedback loops. You break complex problems into increments: analyze, design, deliver an MVP, learn, iterate. You are able to design a solution, get feedback, and write a prototype by yourself - the ability to work on your own is crucial. * You have a good understanding of a software development process that takes a user-centered approach. You easily build an understanding of the users' context and goals which will help you build the right solution with the maximum value. * You use AI tools as a natural part of your engineering workflow - whether for accelerating exploration, code review, or reasoning through design tradeoffs - and you're thoughtful about where they help and where they don't. Bonus Points For: * Experience designing or operating multi-tenant SaaS systems at scale * Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.) * Experience with Kubernetes in a production environment * Familiarity with k6, Playwright, or browser automation at scale * Experience contributing to or maintaining open source projects Compensation & Rewards: In Germany, the Base compensation range for this role is EUR 76,000 - EUR 95,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here [https://grafana.com/about/careers/#jobs]. *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 *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 [https://grafana.com/legal/applicant-and-candidate-privacy-policy/].