Remote Jobs for Digital Nomads

Deine Rolle Freshly cooked food. Everywhere. All the time. With our robots, we’re transforming the way the world cooks and enjoys food. Through technology that supports the foodservice industry, reduces food waste, and elevates culinary quality to a new, scalable level. Accessible to everyone. Everywhere. Anytime. We give our all to make this happen. Across every level, team and function. As Senior Product Manager – starting from November 2026 – you own key pillars of Halo: the digital infrastructure connecting our robotic kitchens to operators, customers, and back-office systems. You take end-to-end responsibility for complex product areas, moving fast from discovery to launch. You're execution-heavy. You ship, iterate, and keep the product moving, freeing the Lead PM to focus on strategy. These are the tasks you will be responsible for: • End-to-End Ownership: You own product areas within our Halo platform – like payment integrations, operator interfaces and guest-facing features for our robotic kitchens. From discovery through launch and post-launch iteration. • Prototype Fast: You move from spec to clickable prototype in days using AI tools (Cursor, Lovable, Claude, Figma Make) to validate assumptions before engineering commits. • User-Driven Discovery: You conduct field research with operators, kitchen staff, and gastronomy partners using our robots. You translate signal into prioritized roadmaps, not just internal alignment. • Cross-Functional Execution: You coordinate with engineering, design, sales, account management, and remote operations. You define scope, push for shippable v1s, and own success metrics. • Requirements & Specs: You gather requirements, interview stakeholders, and build comprehensive specs for engineering teams. • Shape Operating Model: You improve standards, intake processes, and onboarding flows alongside the Lead PM. Dein Profil You’re passionate about innovative technologies, excited about the role, and ready to help us revolutionize the worlds of tech and culinary even further? Let’s get cooking! These are the qualities helping you thrive in this role: • 4–6+ Years of Product Management: You've shipped complex B2B or hardware-adjacent products end-to-end – navigating real-world constraints in physical operations, hardware, robotics, or kitchen tech. • Prototype-First & Execution-Heavy: You default to showing, not telling. You produce mockups and specs that engineering can execute on without translation on technical tradeoffs. • Customer-Driven & Field-Oriented: You run interviews, synthesize insights, and talk directly to operators and kitchen staff. You get out of the office. • Cross-Functional Command: You manage stakeholders across sales, operations, design, and leadership without consensus paralysis. • Owner Mindset: You treat your product area like a small business. You cut scope, ship v1 first, stay calm in chaos, and move with high agency and low ego. • Fluent English: Verbal and written – for clear communication across distributed teams.

Das gibt es zu tun Du willst mit solider Architektur und sauberem Code echte Produkte voranbringen? In unserem agilen Entwicklungsteam baust du die nächste Ausbaustufe der Vusyon-Produktfamilie – inklusive moderner KI-Funktionen. Full-Stack ist für dich selbstverständlich. • Architektur & Umsetzung: verteilte Microservices entwerfen, implementieren und skalieren – primär mit Node.js/NestJS • Fullstack liefern: performante APIs bauen und Vue.js-Frontends entwickeln – vom Datenmodell bis zur UI • KI-Features integrieren: Vektorsuche und RAG-Workflows mit Weaviate einbinden und produktionsreif betreiben • Qualität sichern : Clean Code, testgetriebene Entwicklung (TDD), Code-Reviews sowie automatisierte Tests etablieren • Daten & Performance optimieren: PostgreSQL-Schemas modellieren, Migrations umsetzen und Abfragen tunen • Betrieb mitdenken: Observability (Logging/Tracing), Resilience-Patterns und API-Versionierung umsetzen • Zusammenarbeit leben: eng mit PO/UX abstimmen, Pull-Requests reviewen und Kolleg*innen fachlich coachen Das bringst Du mit • Mindestens 5 Jahre Berufserfahrung in der professionellen Softwareentwicklung – idealerweise mit verteilten Systemen • Souverän in Softwarearchitektur für komplexe, verteilte Anwendungen • Sicher in Clean Code, TDD und Entwurfsmustern; Routine mit CI/CD und Code-Reviews • Tiefe Praxis in Node.js/NestJS (API-Design, Modularisierung, Testing) und Vue.js im Frontend • Erfahrung mit PostgreSQL sowie idealerweise mit Weaviate oder anderen Vektor-Datenbanken • Teamfähig, kommunikationsstark und erfahren in agilen Teams (Scrum/Kanban) – mit Blick aufs Gesamtprodukt • Abgeschlossenes Studium der Informatik, Informationstechnik oder eine vergleichbare Qualifikation • Hervorragende Kommunikationsfähigkeiten in Deutsch und Englisch (in Wort und Schrift) Das bekommst Du Bei uns bekommst du nicht nur spannende technische Herausforderungen und die Chance, an echten KI-Produkten mitzubauen - du bekommst ein Umfeld, das dich als ganzen Menschen sieht. Vertrauen statt Kontrolle und Benefits, die tatsächlich im Alltag ankommen statt nur gut auf dem Papier auszusehen. • Start & Welcoming so wie du es verdienst - Strukturiertes Onboarding mit echten Ansprechpersonen, damit du vom ersten Tag an durchstartest. • Remote Work : Ob Homeoffice , unser modernes Office in Offenburg oder eine Mischung aus beidem - du entscheidest, was für dich funktioniert. In unserem modernen Büro erwarten dich regelmäßige kleine Aktionen und der direkte Austausch mit dem Team; im Homeoffice die Ruhe und Flexibilität, die du brauchst. Arbeite so, wie es zu dir passt. • Betriebliche Altersvorsorge mit 20 % Arbeitgeberzuschuss - deutlich über dem gesetzlichen Standard. • Du entscheidest ob du 50 € on top als monatlichen Fitness-Zuschuss (Hansefit) oder für Shopping mit der Spendit Card nutzen möchtest. • Urlaub, der mit dir wächst: 30 Tage Jahresurlaub + dazu Weihnachten und Silvester frei - und mit steigender Betriebszugehörigkeit kommen weitere Tage dazu. • Jobticket oder JobRad - wir machen deinen Weg ins Office einfacher und grüner. • Mental Health & Prävention: Eine anonyme Notfall-Hotline mit erfahrenen Fachkräften gibt dir Rückhalt. Und mit regelmäßigen Angeboten wie Resilienz-Training, Yoga oder Stressmanagement investieren wir in dein Wohlbefinden - nicht nur im Job, sondern grundsätzlich. • Gemeinsam feiern gehört dazu! Quarterly Allhands Events, Sommerfest, Weihnachtsfeier oder einfach so - wir wissen, wie man Korken knallen lässt. • Ein Team, das wirklich zählt. Flache Hierarchien, schnelle Entscheidungen und ein offenes Ohr auch für das, was dich persönlich bewegt. Wir freuen uns darauf, DICH kennenzulernen!

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 and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the UK, Germany, Sweden or Spain. About the Role We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization . This role will support the teams building Grafana Assistant , our synchronous chat experience; Investigations , our asynchronous AI workflow for incident analysis; and AI observability solutions , including Agent Observability . You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions. This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana , we’d love to hear from you. You Will • Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning • Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes • Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. • Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. • Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team • Influence best practices for Product Analytics across teams and help define standards as the company scales • Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions. You have • Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing) • Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows. • SQL: writing complex yet efficient SQL is a daily habit for you • Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana! • Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git) • Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development. • Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success A plus if you have • Knowledge about observability • Familiarity with Airflow or Prefect - generating ad hoc ETL jobs In Sweden, the Base compensation range for this role is SEK 775,444 - 930,533 . 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 . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, …

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 and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the UK, Germany, Sweden or Spain. About the Role We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization . This role will support the teams building Grafana Assistant , our synchronous chat experience; Investigations , our asynchronous AI workflow for incident analysis; and AI observability solutions , including Agent Observability . You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions. This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana , we’d love to hear from you. You Will • Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning • Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes • Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. • Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. • Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team • Influence best practices for Product Analytics across teams and help define standards as the company scales • Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions. You have • Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing) • Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows. • SQL: writing complex yet efficient SQL is a daily habit for you • Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana! • Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git) • Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development. • Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success A plus if you have • Knowledge about observability • Familiarity with Airflow or Prefect - generating ad hoc ETL jobs In Spain the Base compensation range for this role is €82,988 - €99,586. 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 . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your …

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 and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the UK, Germany, Sweden or Spain. About the Role We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization . This role will support the teams building Grafana Assistant , our synchronous chat experience; Investigations , our asynchronous AI workflow for incident analysis; and AI observability solutions , including Agent Observability . You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions. This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana , we’d love to hear from you. You Will • Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning • Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes • Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. • Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. • Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team • Influence best practices for Product Analytics across teams and help define standards as the company scales • Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions. You have • Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing) • Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows. • SQL: writing complex yet efficient SQL is a daily habit for you • Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana! • Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git) • Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development. • Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success A plus if you have • Knowledge about observability • Familiarity with Airflow or Prefect - generating ad hoc ETL jobs In Germany, the Base compensation range for this role is €97,034 - €116,441. 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 . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, …

ABOUT JIMDO We exist to unleash the power of the self-employed - helping solopreneurs and micro-businesses thrive by doing what they're passionate about and removing the complexity of building lasting, successful businesses. Jimdo started in 2007 when three school friends built a website builder in a Northern German farmhouse to help everyone build a presence online. Today, we're a profitable, remote-first company with 220+ people from 50+ nationalities working across 15+ countries. We've helped build over 36 million websites to get online across the world. We're more than just a website builder. We're an AI-powered platform that helps self-employed people actually run and build successful businesses — from getting found online, winning customers and running their business with a peace of mind by knowing exactly what to do next to move forward. At the heart of Jimdo is a strong belief in personalized, data-driven guidance. Our platform combines design, business tools, and an AI-powered core that turns real customer data into clear insights and next steps helping our customers focus on what moves their business forward. ROLE OVERVIEW : As a Senior AI Fullstack Engineer, you'll join our AI Team to build Jimdo Companion—our intelligent AI assistant designed to become the trusted business partner for millions of entrepreneurs. Companion orchestrates multiple AI agents to automate business tasks, provide personalised recommendations, and help customers grow their businesses through proactive, AI-powered experiences. You'll work across the full stack, designing scalable backend systems, building intuitive frontend experiences, and developing agentic AI workflows powered by large language models. This is a highly impactful senior individual contributor role where you'll help shape our AI platform, influence technical direction, and enable other product teams to build AI-powered experiences on top of the foundations you create. You'll report directly to the Engineering Manager, AI Team. YOUR IMPACT: • Design and build the core systems powering Jimdo Companion, including agent orchestration, recommendation engines, and scalable APIs. • Develop AI-powered features that automate real business tasks and improve customer outcomes. • Build high-quality backend services and engaging frontend experiences using modern full-stack technologies. • Design, evaluate, and optimise LLM-powered workflows, prompts, guardrails, and agent coordination. • Build reusable AI platform capabilities that empower other engineering teams to create AI-enabled products. • Partner closely with Product Managers, Designers, Data Analysts, and engineers to deliver customer-centric solutions. • Champion AI-augmented software development by leveraging modern AI coding assistants and sharing best practices across the engineering team. WHAT YOU BRING: • 5+ years of professional software engineering experience, including experience in a senior or technical leadership capacity. • Strong full-stack expertise with Node.js, TypeScript, and React. • Hands-on experience building AI-powered products using LLMs, prompt engineering, agentic workflows, or AI APIs that have reached production users. Preferably using the LangChain & LangGraph framework. • Strong understanding of distributed systems, REST APIs, microservices, cloud infrastructure (AWS preferred), and modern engineering practices. • Experience using AI coding assistants such as Cursor, Claude Code, or similar to accelerate software development while maintaining engineering quality. • Strong system design skills, product thinking, and the ability to quickly understand complex technical domains. • Excellent collaboration skills and enthusiasm for working in a remote-first, cross-functional environment. WHAT WE OFFER: Inspiring Mission: At our core, we are driven by a meaningful mission - to empower solopreneurs and small businesses to succeed and to contribute to the sustainability and vibrancy of the communities they serve. Flexibility and Trust: Our work environment thrives on flexibility and trust. We offer fully remote work set-up with opportunities for in-person collaboration. You can manage your working hours flexibly because we prioritize the results you deliver over the number of hours you put in. An International Diverse Team: Our team is a mosaic of over 248 individuals hailing from 50+ different countries and working across 15+ diverse locations. We take pride in our openness and inclusivity, with an Employee-led DEI Council and active ERGs that ensure everyone's voices are heard. Continuous Growth and Career Development: We invest in your growth with company-wide access to LinkedIn Learning and Hack Weeks, Deep Work Thursdays, conferences and access to technical eLearning platforms. From day one, you have the chance to contribute your ideas and create a meaningful impact. Our flat hierarchies and swift decision-making processes …

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 and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain, Germany or Ireland. About the role: We are looking for a Staff Software Engineer - SRE to help us support our highest value Grafana Cloud customers by increasing the reliability of our Cloud databases that are based on Mimir, Loki, Tempo, and Pyroscope. We provide these databases as a SaaS product from AWS, GCP, and Azure across all regions. The SRE team is embedded within the Mimir, Loki, and Tempo squads and focuses on ensuring that Grafana Cloud’s database products deliver exceptional reliability for our highest-SLA customers. In this role, you will: • Partner closely with product engineering squads (embedded model) • Own production reliability for high-SLA and complex customer environments • Design and implement automation to scale our reliability practices • Ensuring our customers meet our SLO targets • Define and evolve per-tenant SLOs and reliability models • Proactively reduce SLO burn to prevent repeat incidents • Serving as a primary escalation point and on-call for relevant incidents • Lead customer-impacting incident response and post-incident reviews • Contribute to design docs and code reviews • Influence feature design to ensure production scalability and operability • Build automation to eliminate toil where needed • Improve alert quality and reduce noisy escalations We seek a staff software engineer operating at the intersection of customer needs, production systems, and product engineering. 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 paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). What we seek: • 8+ years engineering experience, 4+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience. • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.). • Strong experience with technical leadership, leading a team through projects, mentoring other engineers on the team and serving as a force-multiplier • Experience operating multi-tenant systems in production • Strong experience designing and implementing SLOs • Experience with one or more programming languages (e.g. Go, Python, Java, etc) • Experience with Linux operating systems internals, and some knowledge of networking, cloud storage, and scaling. • Excellent problem-solving and troubleshooting skills. • Experience with calmly and actively participating in blame-free Incident Response, following up on actions, and writing high quality PIRs (Post Incident Reviews, a.k.a. post-mortem documents) • Ability to reason about performance, scaling, and failure modes • Comfortable working within an engineering team where individuals are encouraged to have a strong sense of autonomy and self-direction. • Ability to partner deeply with product engineering teams • We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) Your day-to-day will …

Are you a talented Senior AI Engineer looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe. What we offer: • The rate depends on your skills and experience. We've already paid out over $11M to our engineers. • No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best. • Choose a schedule that works best for you. It’s possible to communicate async or minimally overlap within team working hours. • We respect your seniority so you can expect no micromanagement or screen trackers. • Communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah? • Most of our projects involve working in a fast-paced startup environment. We hope you like it as much as we do. Requirements: • 3+ years of commercial experience applying AI to practical technology solutions • A solid understanding of Python is a must; experience with other programming languages commonly used in AI is a plus • Experience with Vector Databases, Pinecone or Weaviate is required • 2+ years of experience with LangChain is mandatory • 2+ years of experience with large language models (LLMs) or vLLMs is mandatory • 2+ years of experience with RAG or OpenAI is required • Strong technical skills: as a Senior Data Scientist, you are expected to be able to create projects from scratch and have a deep understanding of application architecture. • Clear and effective communication in English — advanced ability to discuss business tasks, justify decisions, and communicate issues. Good self-presentation is also essential for upcoming client calls. • Strong self-organizational skills — ability to work full-time remotely with no supervision. • Reliability — we want to trust you and expect that you won’t let us and the client down. • Adaptability and Flexibility — the ability to onboard the project promptly after accepting it and start delivering results quickly. NOT YOUR TECH STACK? We have a variety of projects, so if you have 4+ years of commercial software development experience and are proficient in AI Agent Architecture, AI Automation Architecture, Site Reliability Engineering, Platform Engineering, React & Python, React & Golang, Golang, React & Java, React & Ruby, Ruby, PHP & Vue, Vue & Node.js, React & .NET, Android & iOS, iOS & Swift, Flutter, Blockchain (Ethereum/Ethers.js/Wagmi/Viem/Solana), Angular & Node.js, Vue & .NET, Python & Vue, DevOps, MLOps, Data Science, Angular & PHP, Angular & .NET, Symfony & React, Symfony & Vue, Symfony & Angular, Python, Symfony & JavaScript & Next.js & TypeScript, Data Analysis, React & PHP, Data Engineering, Project Management, Product Management, QA Automation, QA Manual, Embedded Software Engineering, React Native & Node, React Native & React, React Native & Ruby, React Native & Python, WordPress, Android, Data Annotation, Angular, Python & Node, React & Node.js, Java & Spring, Svelte & Python, Svelte & Node.js, Svelte & TypeScript, Rust, Shopify & JavaScript, Vue & Nuxt, PHP & Laravel, UI/UX Design, Animation, Graphic Design, React & Node & React Native, .NET & C#, Electron, Scala, C++, Unreal Engine & C++, Python & LLM, Unity, or Machine Learning Engineering, we would be happy to connect with you and match you with a project that fits your experience. We work with developers from 75+ countries across Europe, Latin America, North America (the U.S. and Canada), selected countries in Asia (Japan, Singapore, South Korea, the Philippines, Indonesia, Malaysia, Vietnam, Thailand, and Israel), Oceania (Australia, New Zealand, and Papua New Guinea), and Africa (including Morocco and South Africa).

Welcome to Social Match by We Are Era! Wir sind mit über 120 Mitarbeiter:innen an den Standorten Köln, Berlin und Münster (sowie Remote) eine der führenden creator-centric Digitalagenturen in Deutschland. Bei uns gibt es keinen gähnend langweiligen 08/15-Alltag, eingefahrene Hierarchien oder eintönige Aufgaben. Uns sind Beziehungen auf Augenhöhe wichtig. Egal ob im Team, bei Kund:innen oder gegenüber Partner:innen, wir wollen für Ehrlichkeit, Fairness, Seriosität und langfristigen Erfolg stehen. Du auch? Dann haben wir dir einiges zu bieten: Deine Rolle - Das wartet auf dich: Du begeisterst dich für Influencer Marketing und hast ein Gespür für Trends rund um Men's Beauty, Sport und Lifestyle? Dann bist du bei uns genau richtig! Für unser Influencer Campaign Management Team suchen wir Unterstützung für spannende Kampagnen in der Men's-Beauty-Branche. Gemeinsam entwickeln und steuern wir authentische Creator-Kooperationen, die Marken und Zielgruppen begeistern. Idealerweise bringst du bereits Erfahrung in diesem Umfeld mit und hast Lust, kreative Kampagnen von der Idee bis zur erfolgreichen Umsetzung zu begleiten. • Beratung des Account Managements zur gemeinsamen Erarbeitung wirkungsvoller Strategien • Recherche von Influencer:innen aller Art auf Instagram, YouTube, TikTok und Co. • Ansprache der Influencer:innen nach Absprache der Präferenzen des Kunden • Erstellung von Briefings und Verträgen als Grundlage der Zusammenarbeit mit Influencer:innen • Projektmanagement: Monitoring von Kosten, Qualität und Timing des durch Influencer:in erstellten Content Dein Profil - Was uns überzeugt: Du hast ein abgeschlossenes Studium der Medien- oder Wirtschaftswissenschaften oder bereits relevante Erfahrungen gesammelt: • Du könntest stundenlang auf YouTube, Twitch, Instagram und Co. verbringen, folgst privat vielen Influencer:innen und kennst dich in der Szene aus – egal, ob im Bereich Sport, Technik, Gaming oder Lifestyle • Du hast mind. 2 Jahre praktische Erfahrung im (Influencer) Marketing gesammelt • Du hast Erfahrung in der Durchführung von Projekten und/oder Kampagnen • Du hast analytische, kommunikative und organisatorische Fähigkeiten • Du sprichst folgende Sprachen fließend und beherrschst diese auch schriftlich: Deutsch und Englisch, im Idealfall bringst du Französisch Kenntnisse mit • Leistungsbereitschaft, Lernwilligkeit, Selbstständigkeit, Reflektionsvermögen und Teamfähigkeit zeichnen dich aus Lohn- & Gehalt Das Gehalt für diese Stelle liegt durchschnittlich bei ca. 42.900 EUR pro Jahr.

Who we are Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot. About the team Typeform is a leading provider of interactive forms, surveys, and data collection experiences. We help businesses create more engaging ways to collect, manage, and understand data. This team sits at the intersection of our go-to-market and product organizations, working directly with enterprise customers to validate use cases, accelerate strategic opportunities, and shape how our products evolve through real-world customer engagement. About the role We're looking for a Senior Forward Deployed Engineer to bridge the gap between our enterprise customers and our product, building prototypes for strategic opportunities that accelerate sales cycles and inform product development. This role is ideal for someone who thrives on direct customer engagement and enjoys turning ambiguous enterprise requirements into working software—fast. You'll build prototypes, support high-value enterprise deals, and translate customer needs into insights that directly shape our product roadmap. You'll partner closely with Sales, Product, and Engineering teams to validate customer use cases, deliver solutions in the field, and feed learnings back into how we build. Things you will do • Build and deliver prototypes for strategic enterprise opportunities, accelerating sales cycles and de-risking deals • Engage directly with enterprise customers to understand their requirements, workflows, and technical environments • Support enterprise deals as the technical bridge between customer needs and product capabilities • Translate customer requirements into clear technical specifications and actionable product insights • Collaborate with Product and Engineering teams to feed field learnings into the product roadmap • Validate customer use cases for new product initiatives through hands-on prototyping and iteration • Identify reusable patterns across customer engagements and drive their productization • Build strong relationships with key stakeholders across Sales, Product, Engineering, and customer organizations • Work on ongoing field engineering initiatives, including: • Prototype delivery for strategic enterprise opportunities • New product launch support and customer validation • Productization of successful prototype concepts • Establishing scalable Forward Deployed Engineering practices • Participate in architecture and solution discussions, contributing practical, customer-informed engineering perspectives What you already bring to the table • Strong fullstack engineering experience, with the ability to build and ship working solutions quickly • Solid experience designing and working with APIs and integrating across systems • Experience with cloud platforms and modern application architecture • Experience working directly with enterprise customers and navigating their technical requirements • Strong sense of ownership and the ability to drive projects independently from ambiguity to delivery • Excellent communication skills, with the ability to translate between technical and business stakeholders • Customer-focused mindset, with genuine curiosity about customer problems and workflows • Comfort operating in ambiguous, fast-moving environments where priorities evolve • Strong collaboration skills across Sales, Product, and Engineering functions Extra awesome • Previous experience in a Forward Deployed Engineering, Solutions Engineering, or similar customer-facing technical role • Experience working in a product led SaaS company • Exposure to AI/LLM technologies and building AI-powered solutions • Experience working in startup or high-growth environments • Degree in Computer Science or a related technical field *Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team , empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results. We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.

Ihre Aufgaben Bei AIRMO entwickeln wir den Mess-Stack aus Satelliten-, Flugzeug-, Drohnen- und Bodensystemen, der Methanemissionen über die weltweiten Energieanlagen hinweg sichtbar, verifizierbar und vergleichbar macht. Wir haben unsere Seed-Finanzierungsrunde abgeschlossen, unser erster Satellit startet 2027, und wir liefern bereits Methan-Monitoring für führende Betreiber in Europa, MENA und Zentralasien. Rolle Der Senior Sales Manager verantwortet die Sales-Pipeline von Anfang bis Ende: Türen öffnen, Discovery-Gespräche führen, Angebote erstellen und Deals abschließen, während er oder sie als Teil des Leadership-Teams die Produkt- und Unternehmensausrichtung mitprägt. Dies ist eine aktive, nah am Deal arbeitende Rolle in einem Deep-Tech-Unternehmen. Der Markt ist reguliert, die Technologie ist differenziert, und die Mission ist klar: dazu beitragen, die Kurve beim schnellst wirkenden Treibhausgas abzuflachen, indem Industrie und Regulierungsbehörden Daten erhalten, denen sie vertrauen können. Das Team wächst, daher ist dies auch die Chance, mitzugestalten, was die kommerzielle Funktion von AIRMO wird. Verantwortlichkeiten • Pipeline und Abschluss : Verantwortung für den gesamten Sales Cycle über AIRMOs Angebote hinweg (Site Assessment, Global Insights, Satelliten-/Flugzeugservices), von Outreach, Discovery und Angeboten bis zu Verhandlung und Abschluss. Sie sind direkt in den Deals, nicht nur steuernd von außen. • Umsatzverantwortung : Verantwortung für die kommerziellen Ziele, einschließlich Pipeline-Konversion, unterzeichneter Verträge und Umsatz im Verhältnis zum Ziel. • Kommerzieller Prozess : Aufbau eines wiederholbaren, dokumentierten Sales-Prozesses, einschließlich CRM-Disziplin, Qualifizierung und Forecasting, den das Team anwenden und skalieren kann. • Teamaufbau : Ausbau des kommerziellen Teams über die Zeit durch Rollendefinition, Hiring, Onboarding und Führung von Sales- und BD-Mitarbeitenden, während die Funktion wächst. • Beitrag zur Führung : Als Teil des Leadership-Teams bringen Sie kommerzielle Erkenntnisse in Produktentwicklung, Pricing und Unternehmensstrategie ein. Team & Reporting • Sie berichten direkt an den CEO. • Sie sind die zentrale Person der kommerziellen Funktion. Mit dem Wachstum berichten Sales- und BD-Neueinstellungen an Sie, und das Team wächst unter Ihrer Führung. • Sie stimmen sich eng mit Country Leads, Produkt- und technischen Teams ab, verantworten aber das kommerzielle Ergebnis über diese Teams hinweg. • Marketing und Customer Success fallen in Ihren Verantwortungsbereich, sobald die Funktion in Richtung CCO-Scope reift. Ihr Profil Must Have • Mehr als 5 Jahre Erfahrung im B2B-Vertrieb mit nachweisbarer Erfolgsbilanz beim Abschluss von Enterprise-Deals. Dies ist eine aktive Closer-Rolle, keine reine Strategie-Rolle. • Erfahrung im Vertrieb an Industrie-, Energie- oder regulierte Märkte (Öl & Gas, Versorger, industrielle Infrastruktur, ESG-/Umwelt-Compliance oder vergleichbar) • Nachgewiesene Fähigkeit, eine Pipeline von Anfang bis Ende zu verantworten: Outreach, Qualifizierung, technische Discovery, Angebot, Verhandlung, Abschluss • CRM-Disziplin und Sicherheit im Management einer Pipeline • Sicherer Umgang mit C-Level- und technischen Käufergruppen innerhalb desselben Deals • Fließendes Englisch, gutes Deutsch Nice to Have • Erfahrung in Deep Tech, Remote Sensing, Satellitendaten oder hardwaregestützten Services • Vertrautheit mit Methanregulierung (EU-Methanverordnung, OGMP 2.0) oder breiteren Emissions-/ESG-Datenmärkten • Deutsch oder eine Sprache aus der MENA-Region beziehungsweise Zentralasien • Erfahrung im Aufbau einer Sales-Funktion vom kleinen Team bis zur Skalierung Mindset • Souverän im Umgang mit Ambiguität und bereit, den Playbook-Aufbau während des Unternehmenswachstums mitzugestalten • Direkt, ehrlich und nicht scheu vor schwierigen Gesprächen mit Kunden oder intern