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Description Legartis is on a mission: to unlock legal work at scale. We set the standard for AI-powered contract work by offering a platform that changes how legal teams work, from drafting through negotiation to completion. We are now looking for the person who turns what customers actually need into what our AI actually does. Joining Legartis is not taking a job, you take ownership. We are a team of product builders and lawyers, who do not chase hype; we build substance. If you are a lawyer who builds, someone who has stopped waiting for better tools and started making them, this is your moment and your place. Send us your CV, a short note on why Legartis, and links to anything you have built or published. Your mission Most companies split this seat across three teams, and that split is exactly the problem. The person who hears the customer describe their workflow should be the person who writes the requirement, and the person who writes the requirement should be able to build the first version themselves. That is you. 1. You translate customer reality into engineering requirements — and into revenue. You sit in customer and expert calls alongside Sales, not as a note-taker but as the person who understands the legal work. In trials and hackathons you coach hands-on: the customer drives, you navigate, and they create the first "wow" moment themselves. When they say "that won't work for us" or "we'll build it ourselves", you answer with a concrete path (a workaround, a workflow, the honest maintenance cost of the alternative) and you leave every conversation with a next step: trial licenses, a hackathon, a scoped rollout. Then you pull out the workflow: what actually happens, in what order, where it breaks, what the customer would pay to never do again. And you write the spec, edge cases, and acceptance criteria that Engineering can build against. 2. You build the skills yourself. You write, test, and ship agent skills and playbooks that solve real customer workflows. You build the evaluation frameworks and test sets that prove they got better rather than just different. When the AI fails on a clause, you diagnose why, at the prompt and context level, and you either fix it or hand Engineering a diagnosis precise enough to act on. 3. You make it repeatable, and therefore sellable. Anything you build once for one customer, you turn into something Sales and Customer Success can run without you. Standard demo environments. A skill library they can reach for. Onboarding that lands in days rather than months. Where Customer Success needs legal depth you step in, fix it, and turn the fix into something the team can handle alone next time. Your success is measured by how rarely you need to be in the room, and by what happens to adoption and expansion when you are not. 4. You are the legal authority in the building. Legal and compliance questions land with you: contract reviews, customer security and data protection questions, the occasional in-house matter which makes roughly ten to fifteen percent of your time. You use our own product to do it, and you tell us honestly when it is not good enough. Your profile The person we picture. There is a name emerging for what we are describing, and it is not "lawyer who is good with computers". It is legal quant : a lawyer who builds their own tooling to practise law, rather than waiting for a vendor to ship it. The distinction that matters to us: plenty of lawyers now use AI. A legal quant builds with it. They look at a workflow and ask how to redesign it from first principles to get the best possible outcome, rather than making the existing process incrementally faster. A note on how we are weighting this role. Three capabilities make someone exceptional here: commercial instinct, legal depth, and technical ability to build. The ideal candidate has all three. We know that person is rare, and we are not going to pretend otherwise by writing a wish list and hoping. So for this role we weight the technical evidence most heavily, because it is the hardest of the three to teach on the job. If you believe you genuinely combine all three, we want to talk to you regardless of how neatly your CV matches the bullets below. Say so in your note and tell us what you have built and what you have sold. 1. Technical track record. You have built things and they exist and ideally you have published some of it. You are fluent with LLMs the way a practitioner is fluent, not a spectator: you know how context windows fail you or why a prompt stopped working. When something breaks you go into the system rather than around it. Scripting, Git, and APIs are a strong plus. 2. Legal foundation. A law degree with a commercial-contracts focus: German-qualified (Bachelor, Master, or Staatsexamen) or an equivalent qualification from another jurisdiction. No bar admission required, no second Staatsexamen required. What we need: you have worked hands-on with German commercial contracts, drafting, reviewing, and negotiating them, and you can hold a conversation with a General Counsel as a peer. 3. Commercial and entrepreneurial track record. You have carried commercial responsibility for something of your own: a freelance client base, a legal tech product, or a company you started. You know what it takes to win a client from a standing start and why "they did not understand the value" is never the customer's fault. If instead you have supported enterprise sales teams in demos, pilots, and expert calls, tell us what you changed about the outcome. You prioritise by impact, you are comfortable deciding without permission, and you would rather ship something imperfect this week than something elegant next quarter. 4. Language. Excellent German and English. German is non-negotiable: our customers are DACH legal teams and the nuance lives in their language. You can run a room of legal buyers, ask the sharp question, and write a specification precise enough to build from. Other EU languages are a plus. Why us? Impact over hype. You define a new discipline at the intersection of law, product, and AI. Your work directly shapes how thousands of legal professionals will operate. No silos. You sit between Product, Engineering, and the customer, with a direct line to all three. The better argument wins, not the higher title. We invest in you. The enterprise motion (multi-stakeholder pilots, procurement cycles, security reviews) is teachable, and we teach it: side by side in real customer calls from week one. Real ownership. Competitive salary and employee stock options (ESOP). Build in public. We want you to keep publishing what you build, because it makes you better and it makes us visible. Offices in Berlin, Leipzig, and Zurich with a flexible hybrid setup. Regular apéros, lunches, and hiking trips as we enjoy the journey together. Process Expectations. A conversation with the People Manager about the role and who you are. Depth. A conversation with our General Counsel & Head of Legal AI on Legal Engineering at Legartis and where the legal market is going. Build session. A live case at the intersection of legal reasoning, prompting, and product work: a real customer scenario, a legal AI workflow, or a playbook that misbehaves. Meet the team in Leipzig or Berlin. A mutual decision, before we welcome you to the team. Find Jobs in Germany on Arbeitnow

Who we are Artefact is a global data and AI consulting firm. We help organisations turn data and AI into measurable business impact across the value chain, from strategy and operating model to data platforms, AI products and marketing. More than 2,500 consultants, data scientists and engineers work for over 1,000 clients worldwide, including Samsung, L'Oréal, Orange and Sanofi. In Switzerland, our team of around 50 people works from Zurich and Lausanne with Swiss and international companies. Our work covers AI strategy and governance, data transformation and AI use cases that run in production. What you will be doing: Key responsibilities We are looking for a Partner to scale Artefact's Pharma & Life Sciences practice in Switzerland. Many global pharma, biotech and medtech companies run their headquarters, R&D, manufacturing or commercial functions from Switzerland. We already work with life sciences clients here and now want to make this practice one of the pillars of our Swiss business. This is an origination role: most of your time goes into winning new clients and expanding existing relationships. You will be based in Zurich and work with clients across Basel, Zurich and Romandie. Your role will encompass: Scaling the Swiss Life Sciences practice: its offer, its client base and its team, in coordination with Artefact's global healthcare and life sciences teams. Growing existing client relationships and winning new clients, so that the practice moves from first references to a broad portfolio. Leading senior client stakeholders (CDO/CDAO, CIO, heads of Commercial Excellence, Medical Affairs, R&D Operations, Manufacturing & Quality) through data and AI transformation. Overseeing project delivery and quality assurance on our life sciences engagements, and giving strategic support to ongoing client programmes. Sparring with the Swiss Managing Partner on practice strategy and investment. Among your responsibilities as Partner, you will: Build the practice and its offer Build on our existing life sciences work to define where data and AI create value along the pharma value chain: R&D and clinical development, regulatory and medical affairs, manufacturing and quality, supply chain, and commercial engagement. Translate this into a few Swiss offers with clear entry points, scope and pricing. Develop the client portfolio Build a go-to-market plan for Swiss life sciences, own the pipeline and write proposals that address the client's actual problem. Navigate pharma procurement: vendor qualification, framework agreements and preferred-supplier panels. Deliver to the highest standard Sponsor and oversee engagements run day to day by Engagement Managers, with multidisciplinary teams of consultants, data scientists and data/AI engineers, and ensure the quality of what we deliver. Make sure delivery meets regulatory requirements: GxP, validation of AI systems, Swiss FADP/GDPR and the EU AI Act. Be accountable for client satisfaction, project margin and team experience. Develop our knowledge base Speak and publish on AI in life sciences, for example GenAI in medical and regulatory writing, AI in clinical operations, HCP engagement, and AI governance under GxP. Turn our Swiss life sciences work into references and case studies, and bring them into Artefact's global practice. Lead and develop the team Hire and develop consultants with life sciences experience, train the wider Swiss team on the domain, and own staffing on your engagements. What we are looking for 12–15 years of experience, including 8+ years serving pharma, biotech or medtech clients at a life sciences–focused consultancy or the life sciences practice of a strategy or technology firm. A later move in-house is welcome. Currently Director, Principal or Associate Partner with a personal sales target, ready for the step to Partner. A track record of origination with life sciences clients: you can name clients you opened yourself and the revenue you sold, beyond extending existing accounts. A network among decision-makers in the Swiss life sciences industry, especially in Basel and Zurich, that you are actively growing. Working knowledge of GxP and computer system validation, and how they apply to data and AI systems. Working fluency in data and AI: you can discuss what an AI use case needs from data, what it costs and when it pays back. Fluent English. German is a strong advantage, French a plus. Based in or willing to relocate to the Zurich area, with regular travel to Basel. Why you should join us Shape what comes next: the Swiss practice has proven itself and is growing fast. It is still small enough that you shape its clients, its offers and its team. Sell with a global platform: you bring the credentials, delivery capacity and AI assets of a 2,500-person firm into every proposal, and you work with industry leads across Europe. Strategy to production under one roof: our consultants and engineers work in the same teams, so your clients get from recommendation to working solution without changing firms. Culture: innovation, collaboration and action shape how we work. Artefact Switzerland is Great Place to Work certified (2026). Entrepreneurship: you are measured on the clients, revenue and team you build. Find more English Speaking Jobs in Switzerland on Arbeitnow

Who we are Artefact is a global data and AI consulting firm. We help organisations turn data and AI into measurable business impact across the value chain, from strategy and operating model to data platforms, AI products and marketing. More than 2,500 consultants, data scientists and engineers work for over 1,000 clients worldwide, including Samsung, L'Oréal, Orange and Sanofi. In Switzerland, our team of around 50 people works from Zurich and Lausanne with Swiss and international companies. Our work covers AI strategy and governance, data transformation and AI use cases that run in production. What you will be doing: Key responsibilities We are looking for a Partner to scale Artefact's Pharma & Life Sciences practice in Switzerland. Many global pharma, biotech and medtech companies run their headquarters, R&D, manufacturing or commercial functions from Switzerland. We already work with life sciences clients here and now want to make this practice one of the pillars of our Swiss business. This is an origination role: most of your time goes into winning new clients and expanding existing relationships. You will be based in Zurich and work with clients across Basel, Zurich and Romandie. Your role will encompass: Scaling the Swiss Life Sciences practice: its offer, its client base and its team, in coordination with Artefact's global healthcare and life sciences teams. Growing existing client relationships and winning new clients, so that the practice moves from first references to a broad portfolio. Leading senior client stakeholders (CDO/CDAO, CIO, heads of Commercial Excellence, Medical Affairs, R&D Operations, Manufacturing & Quality) through data and AI transformation. Overseeing project delivery and quality assurance on our life sciences engagements, and giving strategic support to ongoing client programmes. Sparring with the Swiss Managing Partner on practice strategy and investment. Among your responsibilities as Partner, you will: Build the practice and its offer Build on our existing life sciences work to define where data and AI create value along the pharma value chain: R&D and clinical development, regulatory and medical affairs, manufacturing and quality, supply chain, and commercial engagement. Translate this into a few Swiss offers with clear entry points, scope and pricing. Develop the client portfolio Build a go-to-market plan for Swiss life sciences, own the pipeline and write proposals that address the client's actual problem. Navigate pharma procurement: vendor qualification, framework agreements and preferred-supplier panels. Deliver to the highest standard Sponsor and oversee engagements run day to day by Engagement Managers, with multidisciplinary teams of consultants, data scientists and data/AI engineers, and ensure the quality of what we deliver. Make sure delivery meets regulatory requirements: GxP, validation of AI systems, Swiss FADP/GDPR and the EU AI Act. Be accountable for client satisfaction, project margin and team experience. Develop our knowledge base Speak and publish on AI in life sciences, for example GenAI in medical and regulatory writing, AI in clinical operations, HCP engagement, and AI governance under GxP. Turn our Swiss life sciences work into references and case studies, and bring them into Artefact's global practice. Lead and develop the team Hire and develop consultants with life sciences experience, train the wider Swiss team on the domain, and own staffing on your engagements. What we are looking for 12–15 years of experience, including 8+ years serving pharma, biotech or medtech clients at a life sciences–focused consultancy or the life sciences practice of a strategy or technology firm. A later move in-house is welcome. Currently Director, Principal or Associate Partner with a personal sales target, ready for the step to Partner. A track record of origination with life sciences clients: you can name clients you opened yourself and the revenue you sold, beyond extending existing accounts. A network among decision-makers in the Swiss life sciences industry, especially in Basel and Zurich, that you are actively growing. Working knowledge of GxP and computer system validation, and how they apply to data and AI systems. Working fluency in data and AI: you can discuss what an AI use case needs from data, what it costs and when it pays back. Fluent English. German is a strong advantage, French a plus. Based in or willing to relocate to the Zurich area, with regular travel to Basel. Why you should join us Shape what comes next: the Swiss practice has proven itself and is growing fast. It is still small enough that you shape its clients, its offers and its team. Sell with a global platform: you bring the credentials, delivery capacity and AI assets of a 2,500-person firm into every proposal, and you work with industry leads across Europe. Strategy to production under one roof: our consultants and engineers work in the same teams, so your clients get from recommendation to working solution without changing firms. Culture: innovation, collaboration and action shape how we work. Artefact Switzerland is Great Place to Work certified (2026). Entrepreneurship: you are measured on the clients, revenue and team you build. Find more English Speaking Jobs in Switzerland on Arbeitnow

Our mission: eliminating every barrier to mental health. Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage. Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners. As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission. We're hiring a Senior Data Scientist to join our high-performing Advanced Analytics team, embedded within the Care group. Reporting to the Manager, Data Science, this role will lead technical innovation to drive engagement and adoption of Spring Practice - Spring Health's core care coordination and provider platform - leveraging diverse and novel data sources in close partnership with product, design, and engineering. The ideal candidate will thrive in ambiguity, bring strong analytical expertise, and drive rapid experimentation to surface actionable strategies that improve member and provider experience, care coordination efficiency, and health outcomes. This is a full-time, remote position on our team. Occasional travel may be required for company or team events/meetings. What you'll do: Lead analytical strategy for Care: Own the end-to-end analytical strategy to improve engagement and outcomes across Spring Practice. You will develop and apply advanced methods, including AI, predictive modeling, classification, and clustering, to identify opportunities to improve member scheduling, provider matching, and care coordination workflows. Your work will directly influence product strategy, de-risk new initiatives, and drive measurable business outcomes. Drive rapid experimentation and outreach: Design and execute a rapid experimentation roadmap to test, validate, and scale improvements to member and provider workflows within Spring Practice. Some projects will require quasi-experimental approaches to measuring impact. You will consult on test design and, at times, analyze results to provide clear recommendations on which initiatives to pursue, shaping the core of the pod's data-driven approach. Act as an embedded technical leader: Serve as a dedicated data scientist within the Care pod, partnering closely with product management and design to influence the team's roadmap, define success metrics, and ensure strategic decisions are grounded in rigorous analysis. Leverage diverse and complex data: Work with large, multi-source datasets to perform feature engineering and uncover novel insights. This will involve both formal analysis and "scrappy" data sourcing to quickly answer critical business questions. You will coordinate closely with a partnered Analytic Engineer and Data Analyst embedded with Care. What success looks like: Incremental increase to Spring Practice engagement and utilization Improvement in member and provider workflow efficiency (e.g. scheduling, care coordination)Achieving quarterly experiment velocity goals What you'll bring: 5+ years of professional data science experience Hands-on experience with experimentation, hypothesis testing, and quasi-experimental methods. Proficiency with SQL and Python Experience with data modeling via dbt or similar tools Experience working with data visualization and BI tools (e.g., Omni, Hex) Experience with product development and the software development lifecycle Excellent verbal and written communication skills to guide and make recommendations to business partners Proven ability to incorporate AI as a tool to solve complex business problems; including experience with prompt engineering for LLMs, using AI for code optimization and documentation, and establishing best practices for using these tools across teams. Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and business impact in a fast-paced environment Proven success at navigating ambiguous problem areas and learning new approaches Willingness to travel (at least 2 times per year) for collaborative sessions and summits with the team The target base salary range for this position is $159,100 - $179,000 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. Benefits provided by Spring Health: Note : We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria. Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type. Employer sponsored 401(k) match of up to 2% for retirement planning A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents. We offer competitive paid time off policies including vacation, sick leave and company holidays. At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents. Access to Noom , a weight management program—based in psychology, that's tailored to your unique needs and goals. Access to fertility care support through Carrot , in addition to $4,000 reimbursement for related fertility expenses. Access to Wellhub , which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription Access to BrightHorizons , which provides sponsored child care, back-up care, and elder care Up to $1,000 Professional Development Reimbursement a year. $200 per year donation matching to support your favorite causes. Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive . If this role excites you, we encourage you to apply. Our privacy policy: https://springhealth.com/privacy-policy/ Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know. Find 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

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

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

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Find Jobs in Switzerland 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

Ignite a meaningful career at Westerner Park, where boundless opportunities, professional growth, and personal fulfillment await. Westerner Park is seeking a full-time Event Coordinator to join our dynamic Event Services team, with a primary focus on supporting our self-produced events, including Westerner Days, the Red Deer Pro Rodeo, the Ultimate Holiday Party, and many more. The Event Coordinator plays a key role in the planning, coordination, and successful execution of both self-produced and client-booked events. This position works closely with internal teams, clients, vendors, and event partners to help bring events to life while ensuring exceptional customer service and memorable experiences for our guests. Under the direction of the Event Fulfillment Manager, the Event Coordinator is responsible for the following: Client & Event Coordination Serve clients across multiple channels (in person, by phone, and online) to understand and meet event needs. Manage events from initial inquiry to completion, including proposals, contracts, and Banquet Event Orders (BEOs). Coordinate event details such as floor plans, staffing, services, and logistics. Provide timely, professional communication and build strong client relationships. Conduct site tours and develop customized event proposals. Event Execution & Support Provide on-site and on-call support to ensure seamless event delivery. Collaborate with internal teams and contractors to execute events to the required standard. Troubleshoot issues and resolve client concerns effectively. Support the planning and delivery of self-produced events. Sales & Business Development Identify and pursue opportunities to grow business and contribute to revenue targets. Identify gaps in Westerner Park's offerings that create opportunities to boost client engagement and satisfaction. Maintain strong knowledge of the events calendar, market trends, and client base. Act as a brand ambassador, promoting Westerner Park's services and venues. Embark on a dynamic and rewarding career with Westerner Park, where joining our team means unlocking a host of benefits: Competitive compensation packages Comprehensive benefit packages encompassing life, health, dental, and disability insurance. Extended benefits also include an RRSP matching program. Recharge your batteries with ample paid time off and annual vacation, ensuring you have the time to explore and recharge. Contribute to a non-profit agricultural society and exposition association, making a positive impact on the community Immerse yourself in a vibrant culture that makes work enjoyable, allowing you to witness the excitement of Westerner Park events Elevate your skills with tailored professional development initiatives and internal growth pathways. Enjoy fantastic perks, including exclusive staff discounts and participation in the Perkopolis Discount Program Experience firsthand our commitment to a flexible and understanding workplace, where work-life balance isn't just a buzzword – it's a way of life Here is what you bring: Post-secondary education in events, business, or a related field, or equivalent experience. 4–5 years of experience in event planning and/or sales preferred. Strong communication, organizational, and customer service skills. Proficiency in Microsoft 365; experience with CRM systems (e.g., EventPro) and AutoCAD is an asset. Ability to perform effectively in fast-paced, high-pressure environments. Ability to manage multiple projects and competing deadlines with strong attention to detail. Strong problem-solving skills and ability to adapt in a dynamic event environment. Availability to work flexible hours, including evenings and weekends, based on

Company Overview Dian Motors is a leading distributor of bicycles and electric motorcycles across Canada and the US. Based in Ottawa, we are committed to driving the future of sustainable transportation by providing top-quality products and exceptional customer service. As we continue to grow, we are looking for a motivated and organized Sales Assistant to join our team. Job Summary We are seeking an energetic and detail-oriented Logistics Specialist to join our team. In this pivotal role, you will oversee and optimize our supply chain operations, including warehouse distribution, transportation management, and procurement processes. Your expertise will drive process improvements, ensure efficient order fulfillment, and support our commitment to delivering high-quality products seamlessly from suppliers to customers. Duties Manage warehouse distribution activities, including inventory control, order picking, shipping & receiving, and materials management. Coordinate transportation logistics to ensure timely delivery of products. Oversee procurement and sourcing activities, including vendor relations, pricing negotiations, and demand planning. Utilize data analysis skills to monitor supply chain performance metrics and identify opportunities for process improvement. Administer freight arrangements with third-party logistics providers, ensuring cost-effective shipping solutions. Support e-commerce order fulfillment processes and packaging operations to meet customer expectations. Requirements Proven experience in warehouse distribution, shipping & receiving, or materials management within a supply chain environment. Excellent data analysis skills with the ability to interpret complex logistics data for process optimization. Familiarity with procurement practices, sourcing strategies, and demand planning methodologies. Experience working with 3PL providers, freight carriers, and shipping & packaging standards. Strong organizational skills with attention to detail; ability to manage multiple priorities effectively. Join us as a Logistics Specialist and become an integral part of a vibrant team dedicated to innovation in electric mobility! Your expertise will help streamline our supply chain operations while supporting our mission to deliver top-tier products efficiently worldwide. Pay: $45,000.00-$55,000.00 per year Benefits: Casual dress Dental care On-site parking Paid time off Vision care Work Location: In person

senior bookkeeper , with a minimum of 5 years working in Canada as bookkeeper, able to work 4 hrs / day, five days/ week. bookkeeper is able to perform full cycle accounting including, a/r, a/p, collections, payroll, monthly statements, and yearends, etc... proper education/ experience is required Job Types: Part-time, Permanent Pay: $23.00-$29.00 per hour Expected hours: 20.0 per week Benefits: Casual dress On-site parking Application question(s): are you able to work 4 hrs/ day did you do bookkeeping for a manufacturing company before are you able to do full cycle accounting with government remitance on quickbooks Education: Bachelor's Degree (required) Experience: bookkeeping: 5 years (required) QuickBooks: 5 years (required) manufacturing environment : 5 years (required) Canadian bookkeeping: 5 years (required) Language: English (required) Licence/Certification: accounting certificate (required) Work Location: In person