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Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that's close to our R&D hubs in Dublin and London. It's a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products. Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent! What's the opportunity? Principal Engineers at Fin have the opportunity to lead the definition and execution of key strategic initiatives. You will work autonomously and be accountable for strategic execution in part of the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Group Engineering Managers on technical strategy and leadership. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Have a mastery of domain knowledge and work as a leader within the R&D org to drive key strategic projects. Provide assessments of project progress, risks and challenges to engineering leadership to help guide resource allocation and prioritisation. Contribute to our technical architecture as we grow. We scale to service requests from all our customers' customers. We're growing and so are they. Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight. Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work. Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems. Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence What skills do I need? Ideally, you've built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you've created Significant, demonstrated impact that your work has had on the product and/or the teams Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn't need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working) You will have experience with Distributed systems 2+ years of experience as the primary technical leader for a team Experience collaborating directly with technical leaders, product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy. #LI-Hybrid Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Find more English Speaking Jobs in Germany on Arbeitnow

Worum gehts? Event Inc stellt sich als AI-First-Plattform für Events, Meetings und Hotels neu auf, und dafür braucht es eine klare Stimme. Als Product Marketing & Brand Lead bestimmst Du, wie wir uns positionieren und wie unsere Marke bei Kunden, Partnern und Investoren wirkt. Du berichtest an unseren CRO und arbeitest eng mit unserem Content-, SEO- & GEO-Manager sowie unserem Data Analyst (Go-to-Market & Insights) zusammen. Deine Rolle Du verantwortest unsere Positionierung und unseren Markenauftritt, von der Kernbotschaft unserer AI-First-Story bis zur Konsistenz über alle Kanäle. Du gibst die Richtung vor und erteilst die Freigaben, die Content-, SEO- & GEO-Rolle setzt um. Positionierung & Produkt-Story: Du gibst die Richtung für unsere AI-First-Story und unser Produktportfolio vor. Die KI liefert Entwürfe, Du schärfst sie und gibst sie frei. Marke mit Wiedererkennungswert: Du verantwortest unsere Markenidentität und sorgst für einen konsistenten Auftritt gegenüber Kunden, Partnern und Investoren. Story nach außen tragen: Du übersetzt Marken- und Produktstory in die externe Kommunikation, z. B. beim Aufbau und bei der Pflege unserer Homepage-Story. Content mit Plan: Du entwickelst Content-Ideen, Strategie und Planung und beantwortest die Frage, was wir wann und wo kommunizieren. Auch für Newsletter und Marketing Automation lieferst Du den Story- und Portfolio-Input. Sales stark machen: Du unterstützt bei Pitch-Decks, Battlecards und RFP/RFI-Antworten. Die Begleitung unserer Go-to-Market-Aktivitäten gehört für Dich ganz selbstverständlich dazu. Eigene Events & MICE Report: Du verantwortest Konzept und Ownership unserer Kunden- und Branchenformate. Beim MICE Report hast Du die Projektleitung und sorgst dafür, dass er bei C-Level und in der PR ankommt. Die Redaktion liegt bei Content, SEO & GEO. Datenbasiert entscheiden: Du formulierst gezielte Analyse-Anfragen an unseren Data Analyst und übersetzt die Empfehlungen in GTM-Entscheidungen. Mitgestalten auf Führungsebene: Du wirkst bei der Team-Priorisierung mit und stimmst Dich direkt mit CRO und CEO ab. Was uns gefällt Erfahrung, die zählt: Du bringst mindestens 2 Jahre Erfahrung im Product Marketing oder in einer vergleichbaren Positionierungs- oder Brand-Rolle mit, idealerweise im B2B-SaaS-Umfeld. Enterprise-Know-how: Du hast Erfahrung im Produkt- und Salesmarketing für komplexe Enterprise-Zielgruppen und kennst Procurement-Prozesse. Erfahrung mit RFP/RFI-Prozessen ist ein Plus. Storytelling im Blut: Du hast ein ausgeprägtes Gespür für Geschichten und Marken und weißt, wie man komplexe Produkte greifbar macht. Markenführung mit System: Du sorgst für Konsistenz von Ton, visueller Identität und Botschaften über mehrere Touchpoints und Websites hinweg. Mit Marken-KPIs wie Awareness, Sentiment und Preference kennst Du Dich in den Grundzügen aus. Den Markt im Blick: Wettbewerbsanalyse und Competitive Intelligence gehören für Dich zum Arbeitsalltag. Tool-sicher: Du bist mit Marketing-Automation-Tools wie HubSpot vertraut. Souverän auf jeder Ebene: Du trittst sicher auf und hast Erfahrung darin, Senior- und Exec-Level wie CRO und CEO zu beraten und vor ihnen zu präsentieren. Macher-Mentalität: Du arbeitest strukturiert und eigenverantwortlich und fühlst Dich in einem kleinen Team wohl. Was Dir gefällt Teamspirit, der Spaß macht: Freu Dich auf ein motiviertes, hochqualifiziertes Team mit flachen Hierarchien und echtem Zusammenhalt. Dazu gibt's regelmäßige Teamevents wie Afterwork-Drinks auf der Dachterrasse, Culture Nights oder Spieleabende. Sei ein Sparfuchs: Profitiere von exklusiven Rabatten auf Top-Marken und Reisen über PepXpress und Corporate Benefits. Gut versorgt: Natürlich stehen Dir der obligatorische Obstkorb, eine Müslibar sowie kalte und warme Getränke jederzeit zur Verfügung. Individuelle Hardware-Wahl: Du entscheidest, ob Du mit einem Mac oder einem Windows-Gerät arbeitest. Arbeitszeiten: Unsere Kernarbeitszeit ist von 10 bis 17 Uhr. Den Rest gestaltest Du nach Deinem Rhythmus. Büro mit Wow-Faktor: Du arbeitest mit Blick auf die Elbe und einige der schönsten Sehenswürdigkeiten Hamburgs. Pick your Perk: Du wählst 20 € Benefitsy, 20 € Zuschuss zum Deutschlandticket oder 20 € Zuschuss für Urban Sports. Wachstum: Wir fördern Deine Weiterentwicklung mit einem Learning Budget von 300 € pro Jahr. Für später schon heute gesorgt: Du bekommst bis zu 100 € monatlich für Deine Altersvorsorge und Vermögensziele (bAV & VWL). Deine Ansprechpartnerin Hellen, unsere Talent Acquisition Managerin Find more English Speaking Jobs in Germany on Arbeitnow

Worum gehts? Bei Event Inc wollen wir Entscheidungen konsequent auf Basis von Daten treffen. Das gilt von der Go-to-Market-Strategie bis zur Conversion-Optimierung, in Marketing, Sales und Product. Mit Dir bündeln wir die Analysekompetenz an einer Stelle und schaffen eine gemeinsame Datenbasis, auf die sich alle verlassen können. Deine Rolle Als Data Analyst (Mensch) mit dem Schwerpunkt Go-to-Market & Insights bist Du die zentrale Anlaufstelle für Datenanalysen entlang unserer gesamten Wertschöpfungskette. Du bist Teil unseres Product Teams und arbeitest Hand in Hand mit unseren Data Engineers. Du begleitest Maßnahmen von der ersten Exploration über die Empfehlung bis zur Wirkungsmessung. Performance im Blick: Du überwachst laufend unsere GTM-Performance über Marketing, Sales und Product hinweg, von Funnel-Analysen über Kanal-Performance bis zu Conversion-Raten. Zahlen, die etwas bewegen: Du lieferst Ad-hoc-Analysen für unsere Teams, immer mit konkreten Handlungsempfehlungen statt reinen Reports. Von der Idee bis zur Wirkung: Gemeinsam mit den Teams entwickelst Du Hypothesen und übersetzt sie in Experimente und A/B-Tests. Mit Vorher-/Nachher-Vergleichen misst Du, ob Maßnahmen wirklich wirken. Muster erkennen: Du machst Cohort- und Funnel-Analysen über Kundensegmente und Marketplace-Bereiche hinweg (z. B. Pharma vs. Automotive). Mit Win/Loss-Analysen bei Enterprise-Deals lieferst Du wertvollen Input für unser Sales Enablement. Traffic-Kanäle optimieren: In enger Abstimmung mit Marketing, Sales und Product optimierst Du unsere Traffic-Kanäle, z. B. mit Blick auf SEO/GEO-Performance und Content-Wirkung. Reporting smart automatisieren: Zusammen mit einem Data Engineer baust Du eine KI- und automatisierungsgestützte Reporting-Infrastruktur auf. So fließt Deine Zeit in Analyse und Empfehlung statt in manuelle Datenaufbereitung. Schnittstelle mit Gewicht: Du bist die zentrale Datenquelle für GTM-Entscheidungen und arbeitest direkt mit unserem CPO zusammen. Was uns gefällt Fundierte Basis: Du hast ein Studium oder eine vergleichbare Ausbildung in Data Science, Statistik, (Wirtschafts-)Informatik, Mathematik, BWL oder einem ähnlichen Bereich erfolgreich abgeschlossen. Erfahrung, die zählt: Du bringst 2–5 Jahre Berufserfahrung in Data, Business oder Product Analytics mit. Mit Marketing-, Sales- oder Marketplace-Funnel-Metriken und Tracking kennst Du Dich aus. Analytisches Handwerkszeug: Du hast fundierte Kenntnisse in Datenanalyse und Statistik und weißt, wie man aussagekräftige KPIs entwickelt. Daten in Klartext: Du leitest aus Zahlen konkrete, verständliche Empfehlungen ab und vermittelst sie so, dass jedes Team etwas damit anfangen kann. Struktur, auch wenn's voll wird: Du arbeitest eigenständig und behältst den Überblick, auch wenn mehrere Teams gleichzeitig etwas von Dir brauchen. Tech-Neugier: Du verstehst Code und schreibst ihn auch selbst (z. B. Python). Idealerweise hast Du schon mit Coding Agents Analysen erstellt oder automatisierte, KI-gestützte Reportings aufgebaut. Das ist kein Muss, aber ein großes Plus. Was Dir gefällt Teamspirit, der Spaß macht: Freu Dich auf ein motiviertes, hochqualifiziertes Team mit flachen Hierarchien und echtem Zusammenhalt. Dazu gibt's regelmäßige Teamevents wie Afterwork-Drinks auf der Dachterrasse, Culture Nights oder Spieleabende. Sei ein Sparfuchs: Profitiere von exklusiven Rabatten auf Top-Marken und Reisen über PepXpress und Corporate Benefits. Gut versorgt: Natürlich stehen Dir der obligatorische Obstkorb, eine Müslibar sowie kalte und warme Getränke jederzeit zur Verfügung. Individuelle Hardware-Wahl: Du entscheidest, ob Du mit einem Mac oder einem Windows-Gerät arbeitest. Arbeitszeiten: Unsere Kernarbeitszeit ist von 10 bis 17 Uhr. Den Rest gestaltest Du nach Deinem Rhythmus. Büro mit Wow-Faktor: Du arbeitest mit Blick auf die Elbe und einige der schönsten Sehenswürdigkeiten Hamburgs. Pick your Perk: Du wählst 20 € Benefitsy, 20 € Zuschuss zum Deutschlandticket oder 20 € Zuschuss für Urban Sports. Wachstum: Wir fördern Deine Weiterentwicklung mit einem Learning Budget von 300 € pro Jahr. Für später schon heute gesorgt: Du bekommst bis zu 100 € monatlich für Deine Altersvorsorge und Vermögensziele (bAV & VWL). Deine Ansprechpartnerin Hellen, unsere Talent Acquisition Managerin Find Jobs in Germany on Arbeitnow

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Account Executive based in France. As an Account Executive, you will drive business growth across Europe by selling cutting-edge cloud infrastructure technology to enterprise customers, cloud providers, and fast-growing AI and developer platforms. You will own the entire sales cycle, from prospecting and discovery to technical evaluations, pilot programs, commercial negotiations, and closing deals. Working closely with the founding team and technical experts, you will help customers understand how next-generation microvirtualization can improve workload isolation, security, and infrastructure efficiency. You will build a qualified pipeline through strategic outbound campaigns, industry networking, and targeted account development. As an early sales hire, you will have a direct influence on the go-to-market strategy, sales processes, and future growth of the commercial organization. This fully remote opportunity combines entrepreneurial ownership, technical learning, and uncapped earning potential in a rapidly evolving AI and cloud infrastructure market. Accountabilities Build, manage, and grow a European sales pipeline targeting enterprise infrastructure teams, cloud and hosting providers, and high-growth AI and developer technology companies. Own the full sales cycle, from identifying and qualifying prospects to conducting discovery calls, coordinating technical evaluations, negotiating commercial terms, and securing signed contracts. Develop and execute targeted outbound strategies in collaboration with go-to-market engineers, identifying priority accounts, key decision-makers, and effective messaging to generate qualified opportunities. Lead customer conversations and engage economic buyers early, building relationships with CTOs, platform engineering leaders, security teams, procurement professionals, and other stakeholders involved in complex purchasing decisions. Coordinate product demonstrations, technical deep dives, and proof-of-concept or pilot programs alongside founders and field engineers to demonstrate product value and accelerate customer adoption. Translate technical capabilities into clear business outcomes, showing customers how lightweight microvirtual machines can improve workload isolation, infrastructure utilization, security, and deployment speed. Apply structured qualification methodologies, including MEDDPICC, to assess deal quality, understand decision-making processes, identify risks, and convert successful pilots into long-term production commitments. Develop commercial proposals tailored to customer requirements, including usage-based pricing, minimum commitments, dedicated deployments, and bring-your-own-cloud arrangements. Identify opportunities for account expansion by working closely with field engineers and existing customers to understand evolving infrastructure needs and increase adoption. Represent the business at industry conferences, cloud-native events, AI infrastructure gatherings, and regional meetups, building relationships and converting networking opportunities into qualified pipeline. Collaborate with go-to-market engineers to develop creative prospecting campaigns, improve sales automation, and refine outreach strategies based on market feedback and campaign performance. Contribute to the development and continuous improvement of the sales playbook, sharing insights on customer needs, competitive positioning, objections, and emerging market trends with the founding team and product organization. Maintain accurate records in HubSpot, manage pipeline reporting, and provide reliable forecasts to support business planning and sales execution. Support opportunities across the United States when needed, coordinating with the wider team and accommodating regular calls during European evening hours. Help shape the future sales organization by establishing repeatable processes, sharing best practices, and contributing to the onboarding and development of future sales hires. Requirements: At least 4 years of experience in quota-carrying sales or closing roles, selling technical products to engineering-oriented buyers. Proven experience selling technical solutions, ideally within cloud infrastructure, DevOps, developer tooling, virtualization, serverless computing, or related technology markets. Demonstrated ability to build a sales pipeline from scratch through outbound prospecting, account research, networking, and targeted engagement strategies. Strong understanding of effective outbound sales practices, with the ability to develop compelling messaging, prioritize accounts, and guide others in improving prospecting performance. Experience managing complex, multi-stakeholder sales cycles involving technical evaluations, proof-of-concept programs, and extended decision-making processes. Ability to engage confidently with technical and economic buyers, including CTOs, platform engineering leaders, security stakeholders, procurement teams, and legal departments. Sufficient technical knowledge to discuss virtualization, containers, Kubernetes, cloud infrastructure, and related technologies credibly with engineering teams, combined with the curiosity and motivation to deepen your expertise. Experience converting pilots, proofs of concept, or technical evaluations into signed commercial agreements. Familiarity with usage-based pricing, consumption-based business models, minimum commitments, or other flexible commercial structures. Strong prospecting, negotiation, presentation, and relationship-building skills, with the ability to make customers feel comfortable while maintaining a rigorous, analytical approach to sales. Excellent spoken and written English, with additional languages considered an advantage. A high degree of ownership, initiative, adaptability, and learning agility, with the ability to identify problems, take action independently, and continuously improve how work gets done. Strong analytical skills and a data-driven approach to pipeline management, deal qualification, forecasting, and sales performance. Willingness to attend industry events, travel regularly to customers across Europe, and occasionally travel to the United States. Availability to work remotely from a European location within approximately two hours of Central European Time (CET), with flexibility to accommodate regular calls during US business hours. Nice to have: Experience using AI tools to research accounts, personalize outreach, generate pipeline, automate sales workflows, and improve deal execution. Familiarity with HubSpot or comparable CRM and sales pipeline management platforms. A degree in computer science, engineering, or another technical discipline. Previous experience selling compute infrastructure, serverless platforms, sandboxing technologies, databases, Kubernetes tooling, or related developer infrastructure products. Knowledge of the competitive landscape across cloud infrastructure and developer platforms, including solutions such as Modal, E2B, Daytona, Fly.io, Northflank, Vercel, and Firecracker-based platforms. An established network among European platform engineering teams, cloud providers, systems integrators, or infrastructure decision-makers. Experience working with channel partners, resellers, cloud providers, or systems integrators to develop and close opportunities. Previous experience as an early sales hire at a startup, with an appreciation for the ownership, pace, and adaptability required to build a sales function from an early stage. Benefits: Competitive base salary with uncapped commission, providing significant earning potential tied to sales performance. Meaningful equity participation, allowing you to share in the long-term growth of the business. Fully remote working environment within Europe, with a preferred time zone of CET ±2 hours. Direct access to the founding team, including hands-on coaching, technical support during sales conversations, and guidance on complex deals. Opportunity to join an early-stage sales team and help shape the commercial strategy, sales playbook, and future structure of the organization. The chance to sell an established technology already used in production by enterprise customers, with additional opportunities progressing through the pipeline. Exposure to fast-growing markets spanning AI infrastructure, cloud computing, serverless workloads, secure sandboxing, and developer platforms. Close collaboration with technical experts and go-to-market engineers, providing opportunities to deepen your technical knowledge and improve sales effectiveness. Regular opportunities to attend leading industry conferences, cloud-native events, AI infrastructure gatherings, and customer meetings across Europe, with occasional travel to the United States. A fast-paced, entrepreneurial environment that rewards initiative, experimentation, continuous learning, and measurable impact. The opportunity to make a meaningful contribution to the company's growth during a pivotal stage of its development. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 Find Jobs in France on Arbeitnow

About Refractal Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous. Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research. Today, we work with governments and organisations that can't afford to get security wrong. We're backed by leading deep-tech and cybersecurity investors and are growing the team to deliver on this mission. The role Own the core product platform from its external interfaces through the service and data layers. You will build the APIs and SDKs that connect Refractal to customer systems, along with the services, identity controls, and event contracts behind them. Work directly with the founders and early customers to turn operational security needs into simple, reliable platform interfaces and operator tools. What you'll work on Own stable, versioned platform APIs and SDKs, including client interfaces, compatibility rules, documentation, and examples. Build FastAPI services for enforcement decisions, evidence, policies, and red-team results. Design authentication, sessions, API keys, authorisation, and rigorous multi-tenant isolation. Build data and event interfaces, real-time streams, and a tamper-evident audit ledger. Create customer onboarding, policy integration, and operator dashboard workflows. Own testing and deployment across API compatibility, browser smoke tests, Cloud Run, and Cloud SQL. What we're looking for A product-minded platform engineer who makes complex systems clear and predictable and takes ownership from the data model to the customer integration. Strong backend experience with HTTP APIs; Python and FastAPI experience is preferred. Experience with observability, tracing, relational databases, and database migrations. Sound judgement around API design, versioning, SDKs, and compatibility. A strong understanding of authentication, authorisation, API keys, and multi-tenant access control. Good JavaScript and React skills for building operator-facing product surfaces. The ability to work independently and own technically uncertain customer problems. Our values Radical transparency. We believe the best work happens when everyone feels able to give and receive honest, constructive feedback. Public service. We see AI security as a form of public service. Getting the AI transition right means putting the right infrastructure in place to manage the threats that come with it, and our work helps protect the institutions and services society depends on. Fail fast. We test ideas early, seek feedback and learn quickly. We experiment rapidly and change course when something isn't working, without compromising on security. Pragmatism, not dogmatism. We choose approaches based on how well they solve the problem. That means combining established cybersecurity methods with frontier AI research, questioning our assumptions, and changing our minds when the evidence changes. What we offer Competitive salary, meaningful equity, and a performance-linked bonus. Direct influence over the product, architecture, engineering standards, and company direction. Real, high-consequence AI deployments rather than purely synthetic environments. London-based, in-person work, with UK Skilled Worker visa sponsorship and support for Global Talent applications. Compensation: £60K – £115K • Offers Equity • £60K – £115K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Account Executive based in Germany. As an Account Executive, you will drive business growth across Europe by selling cutting-edge cloud infrastructure technology to enterprise customers, cloud providers, and fast-growing AI and developer platforms. You will own the entire sales cycle, from prospecting and discovery to technical evaluations, pilot programs, commercial negotiations, and closing deals. Working closely with the founding team and technical experts, you will help customers understand how next-generation microvirtualization can improve workload isolation, security, and infrastructure efficiency. You will build a qualified pipeline through strategic outbound campaigns, industry networking, and targeted account development. As an early sales hire, you will have a direct influence on the go-to-market strategy, sales processes, and future growth of the commercial organization. This fully remote opportunity combines entrepreneurial ownership, technical learning, and uncapped earning potential in a rapidly evolving AI and cloud infrastructure market. Accountabilities Build, manage, and grow a European sales pipeline targeting enterprise infrastructure teams, cloud and hosting providers, and high-growth AI and developer technology companies. Own the full sales cycle, from identifying and qualifying prospects to conducting discovery calls, coordinating technical evaluations, negotiating commercial terms, and securing signed contracts. Develop and execute targeted outbound strategies in collaboration with go-to-market engineers, identifying priority accounts, key decision-makers, and effective messaging to generate qualified opportunities. Lead customer conversations and engage economic buyers early, building relationships with CTOs, platform engineering leaders, security teams, procurement professionals, and other stakeholders involved in complex purchasing decisions. Coordinate product demonstrations, technical deep dives, and proof-of-concept or pilot programs alongside founders and field engineers to demonstrate product value and accelerate customer adoption. Translate technical capabilities into clear business outcomes, showing customers how lightweight microvirtual machines can improve workload isolation, infrastructure utilization, security, and deployment speed. Apply structured qualification methodologies, including MEDDPICC, to assess deal quality, understand decision-making processes, identify risks, and convert successful pilots into long-term production commitments. Develop commercial proposals tailored to customer requirements, including usage-based pricing, minimum commitments, dedicated deployments, and bring-your-own-cloud arrangements. Identify opportunities for account expansion by working closely with field engineers and existing customers to understand evolving infrastructure needs and increase adoption. Represent the business at industry conferences, cloud-native events, AI infrastructure gatherings, and regional meetups, building relationships and converting networking opportunities into qualified pipeline. Collaborate with go-to-market engineers to develop creative prospecting campaigns, improve sales automation, and refine outreach strategies based on market feedback and campaign performance. Contribute to the development and continuous improvement of the sales playbook, sharing insights on customer needs, competitive positioning, objections, and emerging market trends with the founding team and product organization. Maintain accurate records in HubSpot, manage pipeline reporting, and provide reliable forecasts to support business planning and sales execution. Support opportunities across the United States when needed, coordinating with the wider team and accommodating regular calls during European evening hours. Help shape the future sales organization by establishing repeatable processes, sharing best practices, and contributing to the onboarding and development of future sales hires. Requirements: At least 4 years of experience in quota-carrying sales or closing roles, selling technical products to engineering-oriented buyers. Proven experience selling technical solutions, ideally within cloud infrastructure, DevOps, developer tooling, virtualization, serverless computing, or related technology markets. Demonstrated ability to build a sales pipeline from scratch through outbound prospecting, account research, networking, and targeted engagement strategies. Strong understanding of effective outbound sales practices, with the ability to develop compelling messaging, prioritize accounts, and guide others in improving prospecting performance. Experience managing complex, multi-stakeholder sales cycles involving technical evaluations, proof-of-concept programs, and extended decision-making processes. Ability to engage confidently with technical and economic buyers, including CTOs, platform engineering leaders, security stakeholders, procurement teams, and legal departments. Sufficient technical knowledge to discuss virtualization, containers, Kubernetes, cloud infrastructure, and related technologies credibly with engineering teams, combined with the curiosity and motivation to deepen your expertise. Experience converting pilots, proofs of concept, or technical evaluations into signed commercial agreements. Familiarity with usage-based pricing, consumption-based business models, minimum commitments, or other flexible commercial structures. Strong prospecting, negotiation, presentation, and relationship-building skills, with the ability to make customers feel comfortable while maintaining a rigorous, analytical approach to sales. Excellent spoken and written English, with additional languages considered an advantage. A high degree of ownership, initiative, adaptability, and learning agility, with the ability to identify problems, take action independently, and continuously improve how work gets done. Strong analytical skills and a data-driven approach to pipeline management, deal qualification, forecasting, and sales performance. Willingness to attend industry events, travel regularly to customers across Europe, and occasionally travel to the United States. Availability to work remotely from a European location within approximately two hours of Central European Time (CET), with flexibility to accommodate regular calls during US business hours. Nice to have: Experience using AI tools to research accounts, personalize outreach, generate pipeline, automate sales workflows, and improve deal execution. Familiarity with HubSpot or comparable CRM and sales pipeline management platforms. A degree in computer science, engineering, or another technical discipline. Previous experience selling compute infrastructure, serverless platforms, sandboxing technologies, databases, Kubernetes tooling, or related developer infrastructure products. Knowledge of the competitive landscape across cloud infrastructure and developer platforms, including solutions such as Modal, E2B, Daytona, Fly.io, Northflank, Vercel, and Firecracker-based platforms. An established network among European platform engineering teams, cloud providers, systems integrators, or infrastructure decision-makers. Experience working with channel partners, resellers, cloud providers, or systems integrators to develop and close opportunities. Previous experience as an early sales hire at a startup, with an appreciation for the ownership, pace, and adaptability required to build a sales function from an early stage. Benefits: Competitive base salary with uncapped commission, providing significant earning potential tied to sales performance. Meaningful equity participation, allowing you to share in the long-term growth of the business. Fully remote working environment within Europe, with a preferred time zone of CET ±2 hours. Direct access to the founding team, including hands-on coaching, technical support during sales conversations, and guidance on complex deals. Opportunity to join an early-stage sales team and help shape the commercial strategy, sales playbook, and future structure of the organization. The chance to sell an established technology already used in production by enterprise customers, with additional opportunities progressing through the pipeline. Exposure to fast-growing markets spanning AI infrastructure, cloud computing, serverless workloads, secure sandboxing, and developer platforms. Close collaboration with technical experts and go-to-market engineers, providing opportunities to deepen your technical knowledge and improve sales effectiveness. Regular opportunities to attend leading industry conferences, cloud-native events, AI infrastructure gatherings, and customer meetings across Europe, with occasional travel to the United States. A fast-paced, entrepreneurial environment that rewards initiative, experimentation, continuous learning, and measurable impact. The opportunity to make a meaningful contribution to the company's growth during a pivotal stage of its development. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 Find Jobs in Germany on Arbeitnow

Who we are Yubo is the Social Discovery app to make new friends and hang out online. By eliminating likes and follows, we empower our users to create genuine connections and show up as their true selves. We've pioneered a new way for Gen Z to socialize online, and with millions of active users, our goal is to redefine how we connect today and tomorrow. Our team is international, multicultural and deeply committed to its mission. As the leading platform to socialize online, we have a special responsibility to build a safe digital space for our community. Safety is embedded in our DNA, and our proactive approach focuses on user protection, support, and education. Join us in this exciting journey and help us shape the future of social interactions! About this role As Yubo continues to scale, Machine Learning is becoming a core production layer , powering critical systems across safety, recommendations, and product optimization. What makes this role unique is both the scale and diversity of our data , and the level of maturity we are aiming to reach . We process massive volumes of images, text, and real-time user interactions , across millions of users worldwide, creating a wide range of high-impact ML challenges, including: Content moderation (image, text, behavior) Recommendation systems and user engagement optimization Behavioral detection and trust & safety models Emerging use cases such as dynamic pricing and growth optimization At the same time, our current ML stack is still evolving. Legacy models are not fully integrated into pipelines, lifecycle management remains inconsistent, and our approach can sometimes resemble "develop, deploy, and forget." As ML usage expands across the company, this creates increasing complexity and dependency on reliable, well-structured systems . There is still a huge amount of untapped potential , with many ML use cases yet to be designed, tested, and scaled, but unlocking it requires building a more robust and scalable ML operating model. We are therefore looking for a Senior ML Engineer to join our Platform Engineering team, reporting directly to Mikael (Head of Platform Engineering). You will play a key role in delivering ML initiatives across the company, helping turn promising ideas into reliable production systems. You'll work on everything from model development and experimentation to deployment, monitoring, and continuous improvement, while contributing to the evolution of our ML platform and engineering practices Your responsibilities ML Systems & Delivery Deliver end-to-end ML use cases (recommendation systems, safety algorithms, moderation models, etc.). Design, train, evaluate, and deploy ML models where appropriate. Balance speed of delivery with robustness and reliability. ML Lifecycle & Reliability Drive improvements across the ML lifecycle (training, deployment, monitoring, iteration). Establish KPIs and monitoring standards to track model performance over time. Ensure continuous alignment with product and safety objectives. Help improve the reliability and observability of production ML systems. Platform & Standardization Contribute to the evolution of our ML platform through tools, workflows, and reusable components. Help establish and promote scalable ML engineering practices across teams. Contribute to improving self-service ML capabilities where relevant. Legacy & Advanced Use Cases Take ownership of legacy models and realign them with current business needs. Improve, retrain, and integrate them into modern pipelines. Contribute to best practices around LLM usage in moderation, recommendation, and other product domains. Explore and implement advanced ML approaches where relevant. Cross-functional Collaboration Partner with Data Engineering, MLOps, Backend Platform, and Product teams. Act as a bridge between ML, platform, and business stakeholders. Provide technical leadership on ML initiatives and help improve engineering practices across teams. Share knowledge and help raise the overall ML maturity of the organization. Our technical environment / ML scope ML frameworks: PyTorch Languages: Python (data stack) Core topics: Neural networks, LLMs, data sampling Use cases: Recommendation systems, safety algorithms, moderation Ecosystem: Data Engineering, MLOps pipelines, Backend Platform Who you are You have 5+ years of experience in ML / Data, including work on large-scale datasets (datasets of hundreds of gigabytes). You have strong expertise in modern ML frameworks (TensorFlow or PyTorch or JAX). You are highly proficient in Python (data ecosystem). You have strong knowledge of neural networks and practical experience with LLM-based systems. You understand ML systems end-to-end (data → training → deployment → monitoring). You have strong experience in production ML systems, not only research. You demonstrate strong product sense and can align models with business needs. You are pragmatic and impact-driven, balancing experimentation with delivery. You are able to explain complex ML topics clearly (strong pedagogy). You operate well under ambiguity and can structure complex problems. You are able to drive technical decisions and influence stakeholders through expertise and collaboration. In your first 6 months, you will Deliver an end-to-end ML use case to validate impact and execution. Audit and improve lifecycle management of existing ML models. Refactor and retrain at least one legacy safety model. Build reusable ML components that improve development efficiency across teams. Improve monitoring and observability of production ML systems. Contribute to the evolution of our ML platform and engineering practices. Help move critical ML systems toward more reliable and measurable long-term operation. The recruitment process Phone screen with a Talent Acquisition Manager Interview with Mikael (Platform Engineering Director) Technical case study Cultural fit assessments What we offer A highly competitive salary range as well as equity in the company A highly flexible remote work policy, 2 days at the office per month, with monthly team events. We also cover fees for external professional events and meetups (Android Makers, etc…) Great health insurance coverage for both you and your family by Alan, fully paid for by Yubo ! Numerous benefits for parents: additional parental leave, easy access to nurseries and daycare facilities in France. Our approach to privacy & safety As part of your role, you may handle tools and features involving personal data. We expect all employees to demonstrate strong awareness of privacy and safety issues, and to actively support our Privacy & Safety by Design efforts. Join Yubo and help shape the future of Social Discovery while enjoying a culture that values flexibility, well-being, and impact. Here's how we live our mission every day: Y ou own the impact: Step up, adapt, and make it matter U nconventionally Smart: Hack with intent, borrow smart, build better B e Bold & Resilient: Raise your head, break barriers, keep moving forward O ne team, one mission: No egos, no passengers, just shared wins Trust & Flexibility: Our hybrid model calls for only two office days a month; the rest is up to the rhythm that works best for you. Enjoy Top-notch Benefits Culture is central at Yubo, hence the numerous benefits: Cool Workplace : enjoy our amazing Parisian office and our many hybrid work options Team Activities : participate in get-togethers, events, and team-building activities Family-Friendly : we support parents with childcare options and family-friendly policies Wellness Programs : benefit from comprehensive health insurance, wellness programs, sports classes, and mental well-being initiatives Find more English Speaking Jobs in France on Arbeitnow

Du möchtest eine AI Plattform entwickeln, die täglich von 1.500 Mitarbeitenden genutzt wird? Du verbindest Cloud Engineering mit Softwareentwicklung und hast Lust, neue AI Technologien in zuverlässige Lösungen zu überführen? Dann könnte diese Position als AI Platform Engineer genau die richtige Herausforderung für dich sein. Unser Kunde ist eine schnell wachsende, börsennotierte Unternehmensgruppe mit aktuell rund 55 Softwareunternehmen im Portfolio. Diese sind auf hochspezialisierte B2B-Softwarelösungen ausgerichtet – vielfach in sicherheitskritischen, öffentlichen oder infrastrukturellen Anwendungsbereichen. Deine Benefits Remote First: Bis zu 95 % Remote Arbeit mit mindestens einem Tag pro Monat im Büro in Köln Flexibles Arbeiten: Hohe Eigenverantwortung bei der Gestaltung deines Arbeitsalltags. Arbeitskultur: Modern, kurze Entscheidungswege und ein sehr ambitioniertes Team Direkter Impact: Deine Arbeit beeinflusst eine AI Plattform, die im gesamten Unternehmensportfolio eingesetzt wird & du arbeitest direkt mit dem C-Level zusammen Attraktive Vergütung mit festem Grundgehalt und erfolgsabhängigem Anteil Deine Aufgaben Im Mittelpunkt steht die Weiterentwicklung des internen AI Hub auf Basis von Open WebUI. Die Plattform wird für verschiedene Portfolionternehmen bereitgestellt und laufend um neue Funktionen, Integrationen und technische Möglichkeiten erweitert. Platform Engineering: Entwicklung neuer Integrationen, Container Images und Deployment Lösungen AI Integrationen: Pflege und Ausbau des Katalogs aus Tools, Skills, Agents und Integrationen AI Evaluation: Weiterentwicklung des Evaluationssystems zur Messung und Verbesserung von AI Agents Infrastructure as Code: Automatisierung und Weiterentwicklung der Cloud Infrastruktur Release Management: Prüfung neuer Versionen, Bewertung technischer Änderungen und Veröffentlichung stabiler Releases Cloud Infrastruktur: Betreuung gemeinsamer Komponenten wie Application Gateway, WAF, TLS, Redis, DNS und Netzwerkverbindungen Security: Umsetzung von Security Patches und Weiterentwicklung sicherer Plattformstrukturen Monitoring: Überwachung von Verfügbarkeit, Versionen, Deployments und Cloud Kosten über alle Instanzen hinweg Enablement: Erstellung technischer Dokumentationen, Onboarding und Aufbau von Preflight Checks und Guardrails Dein Profil als AI Platform Engineer Min. 2 Jahre Erfahrung in Platform Engineering, DevOps, SRE oder Cloud Operations mit Verantwortung für Produktivsysteme AI-native – du verfügst über praktische Erfahrung mit LLMs und bereits umgesetzten AI Lösungen Praxiserfahrung mit Azure oder AWS Infrastructure as Code – unter anderem Erfahrung mit Bicep, Terraform, CDK oder CloudFormation Sicherer Umgang mit Linux, Docker, Git und CI/CD Erfahrung mit PostgreSQL sowie OAuth, SSO oder Entra ID Gute Python Kenntnisse über klassische Skripte hinaus Selbstständig, strukturiert und lösungsorientiert mit Freude an technischen Herausforderungen Verhandlungssichere Deutsch- & Englischkenntnisse Nice to have: Erfahrung mit internen Plattformen sowie in Multi Tenant oder Multi Customer Cloud Umgebungen Berührungspunkte mit LLM Frameworks, Agents, MCP oder RAG Erfahrung mit Open Source Projekten Französischkenntnisse Klingt nach genau der Herausforderung, die du suchst? Dann freuen wir uns auf deine Bewerbung und geben dir in einem ersten 10 minütigen Call gerne weitere Einblicke in Unternehmen, Team und Position. Find Jobs in Germany on Arbeitnow

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Account Executive based in Switzerland. As an Account Executive, you will drive business growth across Europe by selling cutting-edge cloud infrastructure technology to enterprise customers, cloud providers, and fast-growing AI and developer platforms. You will own the entire sales cycle, from prospecting and discovery to technical evaluations, pilot programs, commercial negotiations, and closing deals. Working closely with the founding team and technical experts, you will help customers understand how next-generation microvirtualization can improve workload isolation, security, and infrastructure efficiency. You will build a qualified pipeline through strategic outbound campaigns, industry networking, and targeted account development. As an early sales hire, you will have a direct influence on the go-to-market strategy, sales processes, and future growth of the commercial organization. This fully remote opportunity combines entrepreneurial ownership, technical learning, and uncapped earning potential in a rapidly evolving AI and cloud infrastructure market. Accountabilities Build, manage, and grow a European sales pipeline targeting enterprise infrastructure teams, cloud and hosting providers, and high-growth AI and developer technology companies. Own the full sales cycle, from identifying and qualifying prospects to conducting discovery calls, coordinating technical evaluations, negotiating commercial terms, and securing signed contracts. Develop and execute targeted outbound strategies in collaboration with go-to-market engineers, identifying priority accounts, key decision-makers, and effective messaging to generate qualified opportunities. Lead customer conversations and engage economic buyers early, building relationships with CTOs, platform engineering leaders, security teams, procurement professionals, and other stakeholders involved in complex purchasing decisions. Coordinate product demonstrations, technical deep dives, and proof-of-concept or pilot programs alongside founders and field engineers to demonstrate product value and accelerate customer adoption. Translate technical capabilities into clear business outcomes, showing customers how lightweight microvirtual machines can improve workload isolation, infrastructure utilization, security, and deployment speed. Apply structured qualification methodologies, including MEDDPICC, to assess deal quality, understand decision-making processes, identify risks, and convert successful pilots into long-term production commitments. Develop commercial proposals tailored to customer requirements, including usage-based pricing, minimum commitments, dedicated deployments, and bring-your-own-cloud arrangements. Identify opportunities for account expansion by working closely with field engineers and existing customers to understand evolving infrastructure needs and increase adoption. Represent the business at industry conferences, cloud-native events, AI infrastructure gatherings, and regional meetups, building relationships and converting networking opportunities into qualified pipeline. Collaborate with go-to-market engineers to develop creative prospecting campaigns, improve sales automation, and refine outreach strategies based on market feedback and campaign performance. Contribute to the development and continuous improvement of the sales playbook, sharing insights on customer needs, competitive positioning, objections, and emerging market trends with the founding team and product organization. Maintain accurate records in HubSpot, manage pipeline reporting, and provide reliable forecasts to support business planning and sales execution. Support opportunities across the United States when needed, coordinating with the wider team and accommodating regular calls during European evening hours. Help shape the future sales organization by establishing repeatable processes, sharing best practices, and contributing to the onboarding and development of future sales hires. Requirements: At least 4 years of experience in quota-carrying sales or closing roles, selling technical products to engineering-oriented buyers. Proven experience selling technical solutions, ideally within cloud infrastructure, DevOps, developer tooling, virtualization, serverless computing, or related technology markets. Demonstrated ability to build a sales pipeline from scratch through outbound prospecting, account research, networking, and targeted engagement strategies. Strong understanding of effective outbound sales practices, with the ability to develop compelling messaging, prioritize accounts, and guide others in improving prospecting performance. Experience managing complex, multi-stakeholder sales cycles involving technical evaluations, proof-of-concept programs, and extended decision-making processes. Ability to engage confidently with technical and economic buyers, including CTOs, platform engineering leaders, security stakeholders, procurement teams, and legal departments. Sufficient technical knowledge to discuss virtualization, containers, Kubernetes, cloud infrastructure, and related technologies credibly with engineering teams, combined with the curiosity and motivation to deepen your expertise. Experience converting pilots, proofs of concept, or technical evaluations into signed commercial agreements. Familiarity with usage-based pricing, consumption-based business models, minimum commitments, or other flexible commercial structures. Strong prospecting, negotiation, presentation, and relationship-building skills, with the ability to make customers feel comfortable while maintaining a rigorous, analytical approach to sales. Excellent spoken and written English, with additional languages considered an advantage. A high degree of ownership, initiative, adaptability, and learning agility, with the ability to identify problems, take action independently, and continuously improve how work gets done. Strong analytical skills and a data-driven approach to pipeline management, deal qualification, forecasting, and sales performance. Willingness to attend industry events, travel regularly to customers across Europe, and occasionally travel to the United States. Availability to work remotely from a European location within approximately two hours of Central European Time (CET), with flexibility to accommodate regular calls during US business hours. Nice to have: Experience using AI tools to research accounts, personalize outreach, generate pipeline, automate sales workflows, and improve deal execution. Familiarity with HubSpot or comparable CRM and sales pipeline management platforms. A degree in computer science, engineering, or another technical discipline. Previous experience selling compute infrastructure, serverless platforms, sandboxing technologies, databases, Kubernetes tooling, or related developer infrastructure products. Knowledge of the competitive landscape across cloud infrastructure and developer platforms, including solutions such as Modal, E2B, Daytona, Fly.io, Northflank, Vercel, and Firecracker-based platforms. An established network among European platform engineering teams, cloud providers, systems integrators, or infrastructure decision-makers. Experience working with channel partners, resellers, cloud providers, or systems integrators to develop and close opportunities. Previous experience as an early sales hire at a startup, with an appreciation for the ownership, pace, and adaptability required to build a sales function from an early stage. Benefits: Competitive base salary with uncapped commission, providing significant earning potential tied to sales performance. Meaningful equity participation, allowing you to share in the long-term growth of the business. Fully remote working environment within Europe, with a preferred time zone of CET ±2 hours. Direct access to the founding team, including hands-on coaching, technical support during sales conversations, and guidance on complex deals. Opportunity to join an early-stage sales team and help shape the commercial strategy, sales playbook, and future structure of the organization. The chance to sell an established technology already used in production by enterprise customers, with additional opportunities progressing through the pipeline. Exposure to fast-growing markets spanning AI infrastructure, cloud computing, serverless workloads, secure sandboxing, and developer platforms. Close collaboration with technical experts and go-to-market engineers, providing opportunities to deepen your technical knowledge and improve sales effectiveness. Regular opportunities to attend leading industry conferences, cloud-native events, AI infrastructure gatherings, and customer meetings across Europe, with occasional travel to the United States. A fast-paced, entrepreneurial environment that rewards initiative, experimentation, continuous learning, and measurable impact. The opportunity to make a meaningful contribution to the company's growth during a pivotal stage of its development. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 Find Jobs in Switzerland on Arbeitnow

As a DevOps Engineer, you will be an integral part of an existing team comprising sixseven DevOps professionals. You will play a vital role in designing, implementing, and maintaining our cloud infrastructure and the internal platform built on it, which serves over 1800+ client companies, with 2.5+ million registered users and 30,000 daily active users. You will collaborate closely with all engineering squads including Development, Architecture, AI, and Data teams, to ensure the smooth and efficient delivery of our SaaS product. Our objective is to treat our infrastructure as a product for our developers, managing its complexity so they don't have to. We provide simple, ready-to-use tools that enable them to build, deploy, and run their services efficiently.. Your expertise will be crucial in driving continuous improvement and fostering innovation within our DevOps and Platform Engineering practices. You will have the opportunity to: - Make a tangible impact in a rapidly evolving company. You will be responsible for building and maintaining a scalable infrastructure (accommodating more developers, more customers, and expansion into more countries) while optimizing resources (monitoring costs, reducing toil, and improving time to market) to support our growing activities. - Engage in the continuous enhancement of our practices and undertake challenging and comprehensive projects. If you are interested in topics like SRE practices and platform engineering, you will play a key role in our transformation. - Establish your own niche within a highly-skilled team that is eager to learn, share knowledge, and progress together. Within 1 month, you will Discover 360Learning, its platform, its teams and its culture. Become familiar with our R&D way of working. Understand the team's processes. Within 3 months, you will Automate infrastructure provisioning and management using tools like Terraform, Ansible and Helm. Automate the deployment of applications, configurations and infrastructure to achieve a high level of flexibility and confidence in production setups and deployment processes. Improve our global security, challenge our worldwide scaling, increase our performance. Within 6 months, you will: Collaborate with other squads to implement and improve our DevOps practices. Monitor system performance, troubleshoot issues, and implement solutions to improve system stability and availability. Manage and maintain our Azure cloud infrastructure. Ensure the security and compliance of our systems and data. Participate in on-call rotations to provide 24/7 support. Manage incidents and post-mortem. Work closely with developers to facilitate their daily tasks, help them conform to best practices and ensure environments meet requirements (e.g.: simplify and automate the deployment process, provide metrics and monitoring to the engineering squads). Build and improve our internal platform: easy-to-deploy tools and templates that move infrastructure work off the squads' plate ("shift down"), so developers can ship without being infrastructure experts. Improve monitoring and load testing to secure and enhance the performance of our infrastructure Within 12 months, you will: Actively participate in DevOps decisions for all critical projects related to our platform's performance and reliability. Evangelize and train our R&D team on Devops culture by defining all best practices and building them into the platform by default. The Skill Set 3+ years of experience as a DevOps Engineer or in a similar role. Ideally, you have worked in a tech or a SaaS company You know how to run systems in production Interest in platform engineering and developer experience: you like building tools that other engineers enjoy using Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools (Terraform, GitOps). Experience with containerization technologies (Docker, Kubernetes). Strong understanding of networking, security, and system administration. You have a coding background (scripting, programming) Passion for automation and continuous improvement. You have working proficiency in English (level B2 or equivalent)Fluent English (US/UK) / B2 level or equivalent (FR) Enthusiasm for our working environment explained here: https://bit.ly/Convexity_360L Our technical stack Cloud: Azure Cloud Container orchestration: k8s, ArgoCD Infra as Code: Terraform, AnsibleHelm Monitoring tool: Datadog Database: MongoDB Atlas Application language: Javascript What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group's activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity_360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Lead Devops Engineer Case Study to do at home and to discuss with a Devops Engineer Clarification Meeting with a Devops Engineer Culture-fit Meeting with our VP Engineering Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you! Find Jobs in France on Arbeitnow

DevOps Engineer IAM (Ping AM/DS/IDM) You'll shape our IAM for the future with Ping Identity platforms. With deep technical expertise and a sense of architecture, you'll shape Swisscom's security promise to our customers. You'll also contribute hands-on to engineering. What impact will you have? The department is organized according to agile principles in a SAFe value stream. The value stream currently consists of three ARTs, each with experts of different backgrounds and levels of maturity. We cultivate a culture of curiosity with transparent communication and flat hierarchies. You will be a reliable point of contact for technical questions regarding the Ping Identity Platform in the value stream. Must-haves: Experience with Ping/ForgeRock Identity Management Solutions (DS/IDM) Proficiency with cloud-native technologies (containerization with Docker, orchestration with Kubernetes, Linux/Unix) Experience with programming on the JVM (Java, Groovy or any other languages) Strong sense of ownership, accountability, and responsibility Reliable, Self-Motivated and solution-oriented mindset Eager to learn and share experience with team members Nice-to-haves: CI/CD automation experience (GitLab or similar) Familiarity with modern monitoring, observability, and security frameworks Understanding of working in an agile environment and delivering incremental value Want to know more about us? We are serving the Swiss market as Switzerland's leading IT & Telecom company. Thus, we are actively driving digitalization and networking, and tapping new paths for our customers and our employees. Our values are spark passion, aim high and stand true. Since 2019, we have been building up the coolest DevOps Center with a wonderful office at the World Trade Center in the heart of Rotterdam. We are currently recruiting IT passionate professionals who are keen on developing high-quality software, have an agile mindset and appreciate the collaboration with motivated colleagues from all over the world. What's in it for you? Work environment Agile way of working, multi-cultural work environment promoting work-life balance Autonomy, flexibility, opportunity and growth Cool office space in the World Trade Center Rotterdam! Are you coming to the office by bike or car? You can park right here at the office Be a part of our events to build a stronger Swisscom community - for example, culture lunches, fun quizzes, game nights and a lot more! Allowances Full relocation support (Housing, settling in, etc.) for you and your family 200 euros per month Telephone/internet allowance 275 euros per month contribution to health insurance 5 Paid training days and access to Swisscom learning platforms Travel allowance reimbursement 500 euros home office allowance Gym subscription, Tax advice, and language course Salary range: 60,000 to 65,000 euros gross per year including holiday allowance Leaves policy Work from abroad possibility for one month per year Care, bereavement, maternity and paternity leaves 25 days paid vacation days plus Dutch national holidays Contract terms To begin with you will receive a fixed term contract (one year), after 6 months of your employment with us, after a feedback meeting with the team, there is a possibility of extending the contract The salary ranges mentioned in our Job Descriptions are base annual gross salaries including the 8% holiday allowance Find Jobs in Netherlands on Arbeitnow

Your mission About SIDES Restaurants are where people come together over good food. We build the technology that keeps them running. SIDES is the operating system for hospitality: POS, payments, delivery, kitchen tools, self-order terminals, apps and webshops on one platform. Thousands of restaurants run on it and millions of transactions flow through it every month, peaking on a Friday night when nothing is allowed to fail. We have the owner's and the chef's back, so they can focus on their food and their guests. And it is not just code on a screen: our software runs on real hardware in real restaurants, from POS devices to self-order terminals and more. Our tech stack includes Go, PHP, AWS, and modern frontend technologies Your responsibilities: Deliver features end-to-end in a cross-functional team, from ideation and design to implementation, rollout, and operations Work across the entire stack, from backend services to web frontend applications Use AI tools (e.g. Claude) responsibly and contribute to best practices within the team Ensure operational quality with a strong focus on performance, security, stability, scalability, and observability Contribute to architectural and design decisions together with the team Collaborate closely with other engineers through pair programming, code reviews, and knowledge sharing Follow and contribute to improving standards for testing, code quality, and CI/CD Build clean APIs, well-designed data models, and intuitive, high-performance frontend experiences Your profile Qualifications: Several years of experience as a Full Stack Engineer Strong experience in backend development with PHP and/or Go, combined with hands-on experience in modern frontend development Ability and willingness to work across both backend (PHP/Go) and frontend technologies as part of a unified stack Pragmatic, solution-oriented mindset with a strong focus on quality Solid understanding of MySQL, relational data models, and API design Experience with AWS and containerized deployments; Kubernetes is a plus Good systems thinking across architectural and technological boundaries Independent, structured working style with strong analytical skills Fluency in English (required); German is a plus Perks & Benefits Our Benefits: A recipe for success: With over a decade of experience in the gastronomy and delivery industry, SIDES is known as a true specialist in this field. Join a leading player and help shape the future of the market. Ownership & impact: We give you the space to bring in your ideas, grow your strengths, and take real responsibility. You'll work independently while being supported by a strong and collaborative team. High-quality work setup: Modern hardware, ergonomic workstations, and a professional office environment ensure you can do your best work. Hungry for growth: Continuous learning matters to us. Through regular feedback cycles, we actively support your personal and professional development. A positive workplace culture: Enjoy a welcoming atmosphere, a trusting team culture, and our well-connected office in the heart of Berlin (Südkreuz). Workplace Environment Perks: Central office location in Berlin Regular office and team events Snacks and drinks in the office SIDES Library Dog-friendly workplace Onboarding lunch to help you settle in and connect with the team Your Benefits: €50 monthly benefit allowance - your choice: JobRad Deutschlandticket Company pension scheme (bAV) Wellhub Urban Sports Club: Discounted membership with access to fitness, classes, and wellness activities. Instahelp: Professional mental health support, available whenever you need it. INCENT & Corporate Benefits: Attractive employee discounts and exclusive partner offers. Hybrid work: A mix of office and home office, depending on your role and team. Flexible working hours: Working hours that fit your daily life and offer real flexibility. December 24th & 31st off: Fully off without deducting vacation days. Company events: Our annual highlights - the SIDES Summer Party and our Christmas Get-together. Find Jobs in Germany on Arbeitnow