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Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we've condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We're on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what's possible. Overview The purpose of the Research Manager role is to ensure Knit customers successfully achieve their desired research outcomes through their partnerships with Knit. By owning and supporting customer relationships, getting deeply engrained in customer research needs, and driving high-quality project deliverables, the Research Manager's impact is ultimately measured by positive customer retention. Responsibilities: The research function is a primary contributor to Knit's shared business objectives of customer retention and upsells, ultimately measured by Net Revenue Retention (NRR) in addition to supporting successful Pilot to Subscription Conversions for acquiring new business. The levers the Research Manager role owns to influence these key business objectives are: Research Success → Ensuring Knit Customers successfully achieve their desired research outcomes through their projects with Knit, measured by successfully achieving Research Objectives and delivering on Knit's Quality & Speed service-level agreements (SLA's) Primary responsibilities of this role: Serving as the dedicated research lead for all customers' projects (on assigned accounts) and serving as the ultimate accountable part for research project success Driving and documenting in-depth project scoping to uncover a deep understanding of research objectives and project context to set up project success Demonstrate a growth mindset as a solutions architect for customers, educating them on Knit's research capabilities, consulting with them to adjust for fringe requirements, and proposing solutions to maximize project success - escalating to Research Directors when needs exceed capabilities Escalating needs to Research Directors to support troubleshooting when increased risk for project viability or customer impact occurs Driving, maintaining, and enriching all customer context to improve Knit's ability to meet the customers' custom research needs Being the final, customer-ready check and approver on all Knit final topline delivery and presenting the key insights and recommendations directly to the customers Participating in continuous innovation on Knit's AI product to minimize the delta between Knit's AI output and a human researcher output Driving on feedback collection on "the last mile" - uncovering and documenting what happens after Knit delivers a project to when it's "stakeholder ready," supporting Knit's product vision in getting to stakeholder ready reports Required Skills & Experiences: Must have 5+ years of market research experience, with the majority of the time spent on the supplier side in a market research agency environment. Must have experience leading discovery and scoping calls, writing and editing quant and qual questionnaires from scratch, drafting analysis plans, and creating and presenting stakeholder-ready insights topline & reports. Ability to drive initiatives and outcomes in ambiguous environments, both for navigating complex customer needs and Knit internal business changes. Proven track record successfully operating in an early stage startup (<50 employees) is a plus. Proven track record of owning and supporting client relationships with customers at Enterprise, Fortune 500 US-based companies, specifically working with insights professionals to scope and achieve desired research outcomes, resulting in customer retention and growth. Ability to drive initiatives and outcomes successfully in environments with competing priorities, multiple research projects on at a given time, and simultaneous internal business demands. Benefits Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more! Salary In accordance with New York pay transparency requirements, the salary range for this role is $115,000 - $130,000. Final compensation will be determined based on the candidate's level, experience, and qualifications upon joining Knit. Our Company Values We are the Championship Team. This means we: Are 1% better every day: We approach situations with a growth mindset and ask, "How can we make the business better?" and "What would it take?" Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through). Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it. Find more English Speaking Jobs in Germany on Arbeitnow

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat. DoorDash, Deliveroo and Wolt now operate as one global company. Behind the AI experiences millions of people use every day, from shopping assistants to customer support agents, sits one shared Generative AI platform. Our team builds it. We're looking for a Staff Product Manager in London to own major parts of that platform. Your customers are the engineers and ML researchers across all three brands who build AI products and agents. You'll work with engineering and product leaders in Europe and the US, and your decisions will shape how AI gets built across every market we operate in. What You'll Be Doing Set the strategy and roadmap for core parts of our GenAI platform: model access and routing, agent infrastructure, and evaluation and observability. Build one platform for three brands. Spot the patterns across Deliveroo, Wolt and DoorDash teams and turn them into shared building blocks, so a capability built once reaches every market. Shape our model portfolio across frontier and open-weight models. Decide where we build, buy or partner in an ecosystem that changes month to month. Make agents production-ready. Give teams safe access to company knowledge, tools and systems, with the quality, latency and cost controls needed to run agents at scale. Own the evaluation strategy so teams can prove quality before launch and keep improving it after. Stay close to your customers. Work with the teams shipping AI experiences, measure adoption and time-to-production, and let real production use drive the roadmap. Lead at a senior level, presenting to senior technical leadership and influence strategy beyond your own roadmap. What You'll Need to Thrive Our ideal candidate brings deep expertise in some of these areas and curiosity to grow in others: Significant product management experience (typically 8+ years, or equivalent), including owning a technical platform, developer product, or ML or data infrastructure. Hands-on experience with LLM-based products or platforms in production, such as assistants, agents, evaluation or inference. GenAI platforms are a young field, so we care more about depth than years. A platform mindset. You notice the problem five teams keep solving and turn it into one capability everyone can use. The ability to go deep with engineers and ML researchers, then explain the trade-off in plain language to a senior leader. A track record of leading large, ambiguous areas on your own and aligning stakeholders across companies, countries and time zones. Comfort with regular overlap with US time zones, including some late-afternoon and evening calls. What Success Looks Like A team in any of our three brands can go from idea to a reliable AI product dramatically faster. That happens because the hard parts (models, inference, evaluation, tooling, observability, governance and agent infrastructure) are solved once at the platform layer and get better for everyone. Why Join Us? Real scale from day one. Your platform powers AI used by millions of consumers, merchants and couriers across three brands. Frontier work, real constraints. You'll work with the latest models and agent patterns, then make them reliable, affordable and compliant in production. Visible impact. Platform decisions here get reviewed by senior leadership and adopted across the company. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you're rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here . Our Global Structure Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash, Deliveroo and Wolt. Together, we're unlocking new possibilities as one global team. Diversity, Equity and Inclusion We know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or if you require any reasonable adjustments during the recruitment process, please contact our recruitment team at ----- and we'll be happy to help ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . Find Jobs in United Kingdom on Arbeitnow

Contexte & projet La mission de Decathlon est de rassembler chacun autour des merveilles du sport pour rendre le bien-être accessible à tous. Pour y parvenir, l'excellence du design est indispensable à chaque étape de notre expérience numérique : aussi bien pour les millions de sportifs qui utilisent nos sites et applications, que pour les milliers de coéquipiers qui s'appuient chaque jour sur nos outils en magasin, en entrepôt et dans nos bureaux pour accomplir leur mission. Le design digital joue un rôle clé dans la croissance et la relation humaine chez Decathlon. Comment ? En garantissant des outils simples, fiables et agréables, et en apportant à notre communauté de designers les fondations, les systèmes et les pratiques partagées dont ils ont besoin pour concevoir les meilleures expériences possibles. Ta mission Dans ce contexte, nous recherchons un(e) Digital Design Senior Manager au sein du Product Center of Excellence (CoE) pour piloter nos capacités centrales de design, porter la vision stratégique, faire progresser l'excellence de notre métier et animer notre communauté de designers à travers tout Decathlon Digital. Tu auras une double mission : Manager directement l'équipe dédiée au Design System ainsi que l'équipe Design & Research Ops . Animer et inspirer fonctionnellement la communauté des product designers digitaux intégrés dans nos différents domaines métier (eCommerce, applications magasin, Supply Chain, plateformes internes) et nos pays. Tu guideras également l'évolution de nos pratiques de design à l'ère de l'IA. Rôle & responsabilités En tant que Digital Design Senior Manager, tu seras le partenaire stratégique chez Decathlon Digital pour : Manager et faire grandir tes équipes en direct (Design System et Design & Research Ops) : fixer leurs priorités, accompagner leur développement et veiller à ce que leur travail bénéficie concrètement aux équipes de Decathlon. Piloter notre Design System : garantir sa pertinence pour l'ensemble de nos expériences digitales : en accompagnant les spécificités des produits B2C, E2E, B2B et les expériences sportives. Mesurer son adoption et sa contribution à l'efficacité des équipes et à la qualité des expériences. Piloter le Design & Research Ops : Veiller à ce que les outils, méthodes et dispositifs mis en place répondent aux besoins réels des équipes, soient effectivement adoptés et contribuent concrètement à leur efficacité ainsi qu'à la qualité des décisions produits. Accompagner et coacher nos coéquipiers designers de manière fonctionnelle : clarifier les parcours professionnels, structurer les parcours d'intégration (onboarding), faire monter en compétences et favoriser les synergies et le partage de pratiques entre les domaines. Porter la vision prospective du design et des ses pratiques, notamment à l'ère de l'IA, à travers une veille active et l'expérimentation de nouvelles pratiques. Créer les conditions d'une contribution active de la communauté design à l'évolution de nos outils, standards et pratiques Construire des partenariats solides avec les leaders Produit et Engineering afin de promouvoir l'excellence du design, l'accessibilité numérique (RGAA / WCAG), l'écoconception et l'impact business. Savoir-faire / Compétences clés Environ 10 ans d'expérience en design digital, acquis au sein d'environnements produits complexes et internationaux. Expérience en management direct, idéalement avec des profils hybrides (designers, ingénieurs). Fort leadership transversal, avec une capacité démontrée à influencer, conseiller et aligner les parties prenantes de niveau senior (Directeurs, équipes métier, tech et produit). Connaissance approfondie et forte sensibilité aux enjeux actuels du design digital, en particulier concernant l'Intelligence Artificielle (IA) et l'éco-conception. La maîtrise du français et de l'anglais, à l'écrit comme à l'oral, est requise pour évoluer dans un environnement international. Savoir-être / Posture Influence sans autorité hiérarchique - Créer la confiance, inspirer les collectifs avec une vision claire et fédérer des designers, product managers et leaders tech répartis dans différents domaines autour de standards partagés. Collaboration transverse - Travailler main dans la main avec des univers variés (Omni, Supply Chain, Sports, Plateformes), en comprenant leurs réalités opérationnelles spécifiques. Générosité et partage métier - Cultiver une culture d'entraide où les équipes partagent leur travail tôt, apprennent de leurs erreurs et progressent ensemble. Sens du développement (Growth mindset) - Rester curieux, humble et ancré dans le réel, en cherchant constamment à progresser et à faire progresser les autres tout en transformant les défis en opportunités d'apprentissage. Ce poste est fait pour toi si… Tu aimes faire grandir les autres et voir des équipes réussir grâce à ton soutien et ton accompagnement. Tu apprécies autant le management direct de proximité que l'animation transversale d'une communauté élargie. Tu es passionné(e) par l'avenir du design et enthousiaste à l'idée de rendre l'IA concrète, utile et centrée sur l'humain. Tu as le goût de simplifier la complexité et de construire des solutions pragmatiques et pérennes. Tu souhaites jouer un rôle moteur pour hisser l'excellence du design au plus haut niveau chez Decathlon ! Ce que nous t'offrons Télétravail flexible : 2 jours de télétravail par semaine ; Lieux de travail : Bureaux Decathlon Digital à Lille ou Paris Équipement de qualité : Matériel adapté à ta mission et conforme à nos engagements sociétaux (Mac ou PC) ; Projet d'entreprise stimulant : Une équipe locale au sein d'un réseau mondial, ouvrant des opportunités de carrières internationales ; Développement des compétences : Accompagnement continu (projets variés, certifications, formations internes et externes) ; Package de rémunération : Rémunération attractive (intéressement et participation aux bénéfices de l'entreprise, primes mensuelles/trimestrielles). DECATHLON DIGITAL Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits. Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu'elle perdure. C'est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l'équipe et façonnons le futur du sport. Find Jobs in France on Arbeitnow

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean's agentic capabilities - AI agents that automate real work across teams by accessing the industry's broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we're helping the world's largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you're excited to shape how the world works, you'll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: The Solution Engineer role sits within the GTM organisation within the UK&I region, making you a trusted technical advisor to the local sales team, our partners, and our customers. You will work on many exciting projects with some of the most future-forward organizations, helping to guide the beginning of their Generative AI journeys. This role has a strong technical skillset and not a classic SE profile. At Glean, our Solution Engineers work with our customers to help them connect Glean to their most important decision-making platforms. These platforms include Microsoft 365, Google Workspace, Jira, Confluence, Slack, GitHub, Zendesk, and everything in between! As an SE, you will work closely with our local Account Executives (AEs) and will be responsible for the technical success and delivery of our sales opportunities. You will: Performing interactive demonstrations of the Glean platform to prospective customers. Educating the technical teams of our prospective customers on the architecture of the Glean platform. Specifically, articulating the "how" of how our solution works in the context of the customer landscape. Scoping and executing sponsored pilot and Proof of Value (PoV) exercises to ensure the technical requirements and business objectives that the Glean solution provides are validated. Educating and training our customers and partners on our product to ensure that they are set up for success. Presenting at company-sponsored events such as Google Cloud Next and AWS re: invent. Liaising with Glean product managers and engineers to investigate issues, raise feature requests, and understand our future roadmap. About you: You will have a bachelor's degree in Engineering, Computer Science, Information Technology, or a related field (or equivalent work experience). At least 5+ years of experience in enterprise software pre-sales and have used value-based discovery frameworks. You possess excellent analytical and problem-solving skills with the ability to handle complex technical challenges. You are able to explain complex technical concepts in layman's terms to help educate and train our customers, prospects, and partners. You are comfortable presenting, both virtually and in person. Familiarity with cloud infrastructure (IaaS) platforms such as GCP, AWS, and Azure. Familiarity with identity services and Single Sign-On (SSO) providers such as Azure/Entra ID, Okta, and protocols such as SAML, SCIM, and OIDC. Familiarity with APIs, including sending and receiving data from API endpoints, and how to troubleshoot issues. Familiarity with security concepts and tools, e.g. Firewalls, VPNs, SSL/TLS, DLP, WAFs, and proxies. Location: This role is London based Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, and Dental coverage, generous time-off policy, and the opportunity to contribute to your pension plan to support your long-term goals. We're committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy . By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement . By clicking "Submit Application," I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement , and I agree to the terms. Find Jobs in United Kingdom on Arbeitnow

About us Zenjob is an AI-powered flexible staffing platform that has efficiently connected companies and temporary workers since 2015. Companies use our platform to book ready-to-work staff in real time, while students use our app to find part-time jobs that conveniently fit around their studies. Over 40,000 students and 1,000 partner companies from logistics, retail, and hospitality in all major German cities share our belief that good work is not a coincidence. It is the result of innovative technology and genuine commitment. Good work starts here. The Role We are seeking a highly skilled Senior Product Designer to join our team. You are going to play a key role in shaping user experiences across Zenjob's platform. The ideal candidate will have a passion for working hands-on across discovery, ideation, and execution, owning complex problem spaces end-to-end while collaborating closely with Product Managers, Engineers, and Data partners. This role is ideal for a designer who thrives in ambiguity, enjoys solving complex workflows, and is excited about leveraging AI-enabled tools to move faster, prototype smarter, and continuously improve the quality of design outcomes. You'll contribute to the product strategy through design, help evolve our design system, and act as a strong craft and quality role model within the team. What You'll Do Own end-to-end design for complex product areas, from problem discovery to high-quality execution, with clear accountability for contributing to product goals and KPIs and owning the impact of design decisions Design and prototype with a focus on responsive and adaptive design principles, ensuring a seamless and accessible user experience across all devices Conduct user research to uncover insights into user behaviors, needs, and pain points, especially in enterprise contexts, and utilize these insights to inform product decisions and build great products Be a trusted partner to product managers, engineers and stakeholders to shape solutions early and iterate fast Advocate for user-centric thinking and design excellence throughout the product lifecycle What you'll bring 6+ years of experience as a UX Designer working on digital products A strong portfolio demonstrating end-to-end product design work and measurable business impact Curiosity and openness toward AI-assisted design tools and new ways of working Proven experience collaborating in cross-functional product teams with Product and Engineering Strong UX fundamentals, with a sharp eye for interaction, visual design, and usability Ability to turn complex, real-world workflows into simple and intuitive experiences Confidence working in ambiguous problem spaces and making informed trade-offs between user needs, business goals, and technical constraints A hands-on mindset with high ownership and accountability for outcomes Clear communication skills and the ability to explain design decisions with confidence Fluency or professional proficiency in German is a huge plus What we offer Innovative mission: Together we create something new. Work in a dynamic set-up where you learn a lot and your every idea is heard. Unique team spirit : We can rely on each other blindly and celebrate all successes together as a team. Vacation : Recreation and further education is important, which is why we offer 28 days of paid vacation (increased by 1 day for every 2 calendar years of service with us, up to a maximum of 30 days), 1 day of special leave for community service, 5 days of paid educational leave, and the possibility of unpaid leave Hybrid working model : We love our brand new office in Prenzlauer Berg. But sometimes you need a little more flexibility. Zenjob's flexible working model combines the best of both worlds, so you can work remotely up to 2 days / week (1 day, during the first 6 months, so we can guarantee you the best onboarding). Dog-lover : If you have a dog, feel free to bring it with you. We don't bite and always have a bowl of water in our range of drinks Personal growth : Ongoing focus on your personal development (annual training budget of EUR 750, mentoring opportunities, constant career development conversations) Healthy mind in a healthy body: With us you will receive a 30 EUR Urban Sports Club grant to keep you fit. In addition, we have a small sports room in the office ourselves. Always mobile: You will receive EUR 40 credit per month for NAVIT, a sustainable mobility tool for public transport, bike sharing and much more. Legendary Events: Quarterly team events, winter and summer parties, budget for birthdays and anniversaries of our employees If this sounds good, then we'd love to find out more about you! Apply and send in your application. 🎥 Watch our Office Tour video . We invite you to visit our careers page , follow our LinkedIn page and connect with us on Instagram . We are proud to be an equal opportunity employer. We are committed to judging every qualified individual on their ability, regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. There is no need to add your photo and age to the application. Find more English Speaking Jobs in Germany on Arbeitnow

Taktile empowers financial institutions to transform into truly AI-native organizations. We're growing rapidly with enterprise customers across banks and insurance companies, and we're looking for a Senior Product Manager in our Berlin or London offices. About the Role Taktile is building the world's leading Agentic Decisioning Platform for Financial Services. Our customers use our product to automate millions of critical decisions with AI across customer onboarding, credit underwriting, anti money laundering, and many other use cases. Underneath every one of these decisions sits the Taktile Platform: the permissions, environments, deployment, extensibility and connectivity foundations that allow the largest financial institutions to run Taktile securely and at scale, for both humans and AI agents. Taktile Platform also owns developer productivity: the tooling, infrastructure and workflows that help our engineering teams ship quickly and safely. As a Senior Product Manager, you will own the strategy and roadmap for the platform, with a focus on its enterprise and agentic foundations. You will work closely with platform, infrastructure and security engineering to meet the demands of a rapidly growing enterprise customer base, and partner with customer-facing teams and Product Marketing to make our platform a reason customers choose Taktile. What You'll Do Own the strategy and long-term success of the Taktile Platform, the foundation that every product area and every enterprise customer builds on Define a compelling long-term vision for the platform and prioritize the roadmap necessary to reach it. Example areas of focus will include permissions for users and AI agents, Taktile MCP extensibility, release processes (e.g. environments), enterprise connectivity, and more Build a deep understanding of enterprise requirements (security, IT, compliance and procurement), the competitive landscape and opportunities for differentiation, collaborating with customer-facing teams Translate customer insights into well thought out product requirements Balance innovation with a very high bar for reliability and security Act as the voice of the platform: enable and advocate for platform capabilities across product, engineering and go-to-market teams, and partner with Product Marketing to bring them to market Track adoption and performance of platform capabilities through metrics and customer feedback, identifying opportunities for iteration Who You Are 5+ yrs work experience in Product Management, including previous experience owning platform topics (e.g. identity and access management, permissions, environments, deployment models, connectivity or developer platforms) for B2B SaaS or AI products Strong technical depth and an appetite to keep deepening it. An engineering or other technical background is preferred. You are comfortable going deep with engineers on cloud infrastructure, authentication and authorization (e.g. OAuth, SSO, SCIM) and networking. Experience in building critical, high-availability systems is a strong plus Experience working with enterprise security, IT and compliance stakeholders, for example through security reviews, RFPs or complex customer deployments. Familiarity with AI agents and MCP is a must, familiarity with and with financial services is desired Excellent written and verbal communication skills, with an ability to build trust and influence decisions across functions, and to explain complex technical concepts to technical and non-technical audiences alike Track record of delivering lasting customer impact through shipping well-thought out product improvements Aptitude and appetite for using data to inform your decision-making Hands-on, curious, and willing to challenge yourself and grow your scope of responsibilities over time Our Offer Work with colleagues that lift you up, challenge you, celebrate you, and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Operate with a high degree of autonomy that allows you to make an impact and meaningfully impact a critical area of our product Experience a flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe including the founders of Looker, Datadog, GitHub, and UiPath Enjoy annual offsites where the entire company co-locates to collaborate in person Receive a top-of-market equity and cash compensation package as well as access to a self-development budget Work at our prime office locations in Berlin or London for three days per week or more Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com . About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile ("we" or "us") is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates' data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile's Applicant Privacy Policy . To exercise your rights or ask questions, contact Find more English Speaking Jobs in Germany on Arbeitnow

As a Workplace & Security Engineer Intern, you'll design, automate, and secure the internal systems Maki runs on every day, from laptop provisioning and access management to the controls and processes that keep our people, devices, and data safe. What you'll be working on Building automation that removes manual work from our IT and security operations (provisioning, access reviews, reporting) so they scale with the company Deploying and hardening our macOS fleet through MDM: enrollment, role-based app sets, security baselines, patch compliance, and encryption Owning identity and access management across our tools: onboarding and offboarding workflows, least-privilege access, SSO and MFA hygiene Defining and maintaining workplace and security processes, and helping Maki meet the certification, customer, and regulatory requirements that come with them Monitoring our environment, running vulnerability assessments on our internal tools and infrastructure, and following findings through to remediation Handling support requests across hardware, software, and network issues, seeing them through to resolution, and turning the recurring ones into something that doesn't come back This role is for you if... You want to shape how a fast-moving tech company runs and protects its workplace You're curious about how systems work and how they can break, and you enjoy making them both easier to use and harder to misuse You take ownership of problems, follow through without being chased, and have a natural attention to detail You want to work in a small team where your contributions are visible and your questions are genuinely welcome You're looking for a real internship, one where you learn by doing, not by watching What we're looking for You're finishing your studies (Bac+4/Bac+5) in IT, Computer Science, Cybersecurity, or a related field and are looking for an end-of-studies internship You have a solid understanding of operating systems and networking, and some exposure to security fundamentals (access control, device hardening, vulnerability management) You're comfortable scripting to automate tasks (Python, Bash, or similar) You are comfortable working in English (French is a plus) Familiarity with Google Workspace, MDM solutions, or identity management tools is a plus Recruitment process Mochi Screening and Shiro assessment: experience our product firsthand Interview with our IT Workplace Lead and Security Lead Final conversation with our CTPO Find more English Speaking Jobs in France on Arbeitnow

About Parloa Parloa's mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. About the role: As Manager, Agent Architecture , you will build and lead the team that transforms customer service with AI Agents, while staying in the build yourself. You run a team of Agent Architects: you hire them, coach them, set their goals, and own the quality of every AI Agent they ship, with a significant portion of your capacity on live customer engagements. This is your opportunity to lead at the front line of enterprise AI, where your credibility comes from doing the work alongside your team, not just directing it. Areas of ownership: Team Leadership: Own hiring for Agent Architect roles, run weekly 1:1s, performance reviews, and career conversations, and build development plans that help each person grow. Set ramp expectations for new hires and coach Associate and mid-level Agent Architects on prompt engineering, conversation design, and customer-facing judgment. Capacity and Stakeholder Alignment: Set team goals and OKRs aligned with Professional Services priorities, manage capacity and workload across concurrent engagements, and surface resourcing tradeoffs early. Represent the Agent Architecture team to Sales, Product, Engineering, customers, and partners. Hands-on Agent Delivery: Personally guide customers through AI Agent implementations, from strategic advice to scoping to end-to-end delivery. Serve as the escalation point when agent performance degrades. Quality and Best Practices: Define what good looks like for agent quality, enforce it through review, and make it repeatable across every live project. Document best practices for internal and external audiences, and turn recurring field problems into structured feedback for Product. Who you are: Experience leading people, whether as a formal manager, team lead, or through sustained mentorship where you owned a group's growth and output. First-time managers with a strong coaching track record are welcome. 3+ years of conversation design and AI agent development experience, with a track record of building scalable solution architecture and conversational experiences grounded in real user needs. Skilled in advanced prompt engineering, comfortable integrating REST APIs and working with Javascript. Strong project and stakeholder management skills, with significant experience working with enterprise customers, including in escalated or high-pressure situations. Sound judgment on capacity and prioritization: you can say what your team can and cannot absorb, and back it up with reasoning. Our recruiting process: Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser Why Parloa? We're at the beginning of a new era in customer experience, one where AI doesn't just respond, but understands, reasons, and takes action. We're building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren't just support tickets; they're defining experiences. We're here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it. At Parloa, ownership isn't a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that's evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them. We've grown beyond the earliest startup phase, but we've kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one. Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we're scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more . * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics. Find more English Speaking Jobs in Germany on Arbeitnow

AI Engineer London, 4x days per week in-office Vega is looking for AI-native builders to create the new way that work gets done in private markets. About Vega Vega is transforming the way private markets operate. Alternative asset management is one of the most influential forces in the global economy, with over $20TN in assets today. Over the next five years, the industry is set to grow 3x, but GPs are facing challenges around their ability to handle the investment flows that are coming in. GPs have been completely underserved by innovation, particularly on the investor relations side. Vega built the industry's first AI-native operating system, where all client work gets done - from the start of an investor's journey to its end. We are rethinking how work gets done in private markets from first principles: the opportunity is big, but it's also niche, high-stakes, and difficult to get right. Who we are We are still at the beginning of our journey. Vega was founded by former investors at Elliott and KKR, and built by talent from the world's leading technology and financial services firms - including Trade Republic, Revolut, Goldman Sachs, BCG, and more. We have raised $30M so far, with the backing of Apollo, Motive Partners, and 60+ senior executives from the industry. Today, we have over $300B AUM and 30,000 users on the platform, and we have much more left to do. How we do it Vega is a fast-growing startup. We want to make this a career-accelerating place for people with the ambition to build something big. If the below sounds appealing, it could be for you: We do not seek consensus. You will be expected to voice opinions and take initiative. Vega's best people do not wait to be told what to do before finding solutions to problems they have spotted. We believe bureaucracy is the killer of progress. We are focused on creating the minimum viable process to operate with quality at speed. We prioritise talent over tenure. There is no promise of progression without performance – we assess and reward people on impact above all else. We iterate fast. We make decisions amid ambiguity and with imperfect information, and we strive to balance committing to a hypothesis with iterating at low ego. We play to win. Expectations, intensity and ambition are very high, with every single colleague contributing to Vega's success. This often will not be a 9-5. We know that this culture won't be for everyone, and we endeavour to make this clear from the beginning of the recruiting process out of respect for your time. Ask yourself whether the above sounds exciting to you in practice every day, and if it does, we would love to hear from you. Who succeeds in this role We look for people who match our ambition levels, and then raise it further. In this role, you will: Work directly with business and engineering teams to take ideas from research to production. You will need to have the ability and the ambition to understand business needs and client requirements to deliver at the highest level. Build AI-powered features across AltOS, including agents, document intelligence, workflow automation, and knowledge retrieval systems. Own problems end-to-end, from scoping and architecture through to shipping and iteration while keeping up to date with developments in AI. Examples of previous AI projects are a plus. Help define how AI is applied across Vega's products and internal workflows. What we look for: Team player with strong communication and collaboration skills. AI & LLM: AWS Bedrock, Anthropic SDK, Claude Agent SDK, MCP, Bedrock Knowledge Bases, pgvector, Amazon S3 Vectors, Multi-agent orchestration, SSE streaming, promptfoo, Claude Vision, ontology, AI guardrail Back-end: Java 21, Node.js + TypeScript (Hono), REST + OpenAPI contract-first codegen, Kafka (MSK) + Avro, Postgres/jOOQ/Flyway + Kysely, JUnit/TestContainers/Mockito + Cucumber & REST Assured, AWS (EKS, RDS/Aurora, Cognito, S3, KMS), Docker, Kubernetes Front-end: TypeScript, React, Vite, Tailwind CSS, TanStack, Vitest & Playwright Cloud & Infra: AWS (Bedrock, S3, KMS, SQS, CloudFront, Cognito, RDS), Kubernetes, Helm, GitHub Actions, Docker Why join us? You will help define the transformation of one of the most influential industries of our time with AI, working alongside an ambitious and dedicated team Competitive salary and equity package Benefits including medical insurance, gym membership, learning budget, and more Find Jobs in United Kingdom on Arbeitnow

EggAI · Full-time · Remote (EU only) The Role You will lead a small, highly-skilled remote team of engineers designing and shipping production-grade agentic AI systems. Working directly with enterprise clients, you will validate where AI can create value, redesign business processes, and own the resulting system from early experiments through adoption and measurable results. Across these environments, you will learn from recurring production failure modes and have the latitude to choose the models, tools, and architecture to solve the business problem. Alongside client delivery, you will turn successful approaches into shared assets that strengthen future engagements. Those contributions will shape EggAI's engineering culture and give you broad influence over how we work. This is a hands-on leadership role. You will write production code, set technical direction, develop engineers through example, review, feedback, and coaching, and guide senior client stakeholders through difficult decisions. This is a remote position. We only accept candidates located in the EU. What You'll Own Act as a trusted technical counterpart to client teams throughout the engagement, helping them make sound decisions and create lasting capability as you: Discover: Validate business opportunities against AI capabilities and constraints, and identify new opportunities enabled by the technology. Design: Own solution design and system architecture across agents, tools, data, evaluations, controls, human oversight, and deterministic boundaries. Build: Personally implement the system's critical agents, integrations, evaluation infrastructure, permissions, observability, controls, and feedback loops. Deliver: Lead the team and client from implementation through adoption, owning engineering quality and production readiness while establishing a clear delivery rhythm and engineering accountability across the project team. Compound: Package successful work as tools, datasets, evaluations, patterns, and engineering methods. What We're Looking For A sustained record of exceptional technical leadership that generated real business impact, including experience leading small engineering teams. Experience designing, shipping, and operating production-grade AI systems, with practical judgment across architecture, context, tools, evaluation, observability, production controls, reliability, and cost. A demonstrated ability to keep pace with advances in AI, test what matters, and change working methods when new capabilities prove substantive, evidenced by advanced use of agentic AI in day-to-day work. Repeated ownership of difficult stakeholder environments and the judgment to connect technical decisions to business value, user needs, risk, and organizational change. Excellent communication skills across engineering, product, and business stakeholders. Strong coding skills and the ability to write and review production-grade code in languages such as Python, TypeScript/JavaScript, or similar. A strong engineering foundation and the first-principles judgment to understand what established practices protect and how those protections should be implemented in AI-native systems. Strong statistical and experimental judgment, including the ability to create the instrumentation, annotation, review, and feedback loops needed to learn from uncertain AI behaviour and improve systems over time. Additional strengths Experience operating AI systems in security-sensitive or regulated environments. Experience creating AI tooling, evaluation infrastructure, data assets, or engineering platforms that serve multiple projects. A track record of hiring, onboarding, and developing engineering talent. Meaningful open-source work, public technical contributions, or active participation in the AI-engineering community Find Jobs in France on Arbeitnow

Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw "Jarek" Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL on LinkedIn , Instagram , and our Blog . Meet the team behind this journey You will lead the Production Inference team — the group responsible for the systems that serve DeepL's language AI models reliably and efficiently at scale. We sit at the intersection of research-grade technical ambition and production-grade operational discipline: our work determines whether DeepL's models reach users with the latency, reliability, and cost profile that makes commercial deployment viable. The team owns the full model serving stack — from GPU-resident inference runtimes and deployment infrastructure through to the developer platform that enables every other research team to bring their models to production. We operate within the Research organisation, with close ties to DeepL's infrastructure and platform functions, and our architectural decisions affect every product DeepL ships. The broader Research organisation publishes regularly at ACL, NeurIPS, and EMNLP, and the Production Inference team brings that same culture of rigour and innovation to the systems layer of AI. Your responsibilities As Engineering Manager for the Production Inference team, you will own both people leadership and technical direction for a team of research scientists and ML engineers working on performance-critical model serving systems. While this is not a hands-on coding role, you will be deeply involved in technical reviews, architecture decisions, and research direction for the inference stack. You will: Lead and develop a high-performing team of research scientists and ML engineers, building strong development plans, fostering a candid and non-retaliatory feedback culture, and maintaining high standards of technical rigour and delivery. Own the team's research and development roadmap for production inference systems, in close collaboration with senior ICs and cross-functional stakeholders, balancing near-term reliability commitments with longer-horizon research bets on inference efficiency and architecture. Act as the primary technical interface between the Production Inference team and adjacent functions — including foundational models research, voice research, applied research, infrastructure, and product — ensuring research output is well-scoped, well-communicated, and delivered without creating downstream bottlenecks. Drive the reliability, efficiency, and cost performance of DeepL's model serving stack, including strategic decisions around serving infrastructure evolution (load balancing, autoscaling, runtime selection, and hardware utilisation). Operate with a high degree of autonomy, defining the team's direction and pushing for results in an environment where requirements from product or commercial stakeholders can be ambiguous or evolving. Play an active role in identifying, assessing, and recruiting research and engineering talent as the team continues to develop. Qualities we look for You have proven experience leading a team of researchers or ML engineers, with a track record of developing talent, maintaining delivery rigour, and holding the balance between research quality and production reliability. You have a strong background Computer Science, Mathematics, Physics, or a comparable quantitative discipline, or possess a strong ML/systems background with equivalent research depth. You have a strong foundation in production ML systems, inference optimisation, or model serving at scale — direct experience with LLM inference, speculative decoding, quantisation, or serving infrastructure is a meaningful differentiator. You are comfortable operating across the full model lifecycle — from training handoff through to production deployment, monitoring, and efficiency improvement — and understand infrastructure and compute constraints without needing to own them directly. You have excellent communication skills and the ability to translate complex technical direction into clear goals for both technical and non-technical stakeholders. You are solution-oriented and decisive, able to define direction and drive outcomes without waiting for direction from above. What we offer Diverse and internationally distributed team : joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. Open communication, regular feedback : as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together. Hybrid work, flexible hours : we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team's general locations and time zones to foster effective and seamless collaboration. Virtual Shares - An ownership mindset in every role. We believe everyone should share in our success, and that's why every employee receives Virtual Shares, linking your contribution directly to DeepL's growth and rewarding you with a stake in our future. Regular in-person team events : we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together–literally. Monthly full-day hacking sessions : every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity. 30 days of annual leave : we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally. Competitive benefits : just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way. If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together. Go ahead, apply—let's discover your potential together. We can't wait to meet you! #LI-JB1 We are an equal opportunity employer You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world. Find Jobs in United Kingdom on Arbeitnow

Die thinkGROUP ist eine erfolgreiche Systemhausgruppe, die ständig nach Innovation strebt und großen Wert auf die kontinuierliche Optimierung unserer internen Prozesse legt. Die Nutzung modernster Technologien ist kein Selbstzweck, sondern die Ausprägung unseres Innovationsgeistes und gelebter Kundenorientierung. Hervorragender IT-Service bedarf optimaler Systeme. Unser motiviertes Team gibt täglich sein Bestes, um unsere Kunden immer wieder neu zu begeistern. Wir suchen Dich zum nächstmöglichen Zeitpunkt als Teammitglied unseres Fachbereichs Cloud Computing & AI am Standort Nürnberg . Werde Teil der think about IT und unterstütze uns als Senior Microsoft AI & Copilot Engineer (m/w/d). Die Tätigkeit kann ebenfalls in unseren Niederlassungen in Hamburg, Münster, Berlin, Mainz oder Bochum ausgeübt werden. Aufgaben Konzeption, Entwicklung und Implementierung intelligenter KI-Lösungen auf Basis von Microsoft Copilot, Azure AI und souveränen KI-Technologien zur produktiven und sicheren Nutzung künstlicher Intelligenz Entwicklung von Automatisierungs- und Assistenzlösungen mit Microsoft Copilot, Copilot Studio, Power Automate und Microsoft Graph Design, Aufbau und Weiterentwicklung von AI Agents, Wissensplattformen und intelligenten Automatisierungslösungen Konzeption, Implementierung und Überwachung von KI-Governance-Richtlinien unter Berücksichtigung regulatorischer und rechtlicher Anforderungen Entwicklung souveräner KI-Lösungen unter Einsatz moderner Automatisierungsplattformen und Orchestrierungstools wie n8n Integration von Microsoft 365, Microsoft Graph und Microsoft AI Services in bestehende Geschäftsprozesse und Anwendungslandschaften technische Begleitung von KI-Projekten von der Anforderungsanalyse über Workshops und Proof of Concepts bis hin zum produktiven Betrieb Architekturverantwortung für KI-Lösungen mit Fokus auf Skalierbarkeit, Sicherheit, Compliance und nachhaltige Betriebsmodelle enge Zusammenarbeit mit Kunden, Fachbereichen und Projektteams zur erfolgreichen Umsetzung von KI- und Automatisierungsstrategien Qualifikation Studium der Informatik, eine vergleichbare Ausbildung oder mehrjährige Berufserfahrung Mehrjährige Erfahrung mit Microsoft Copilot oder Azure AI gute Kenntnisse in Python, REST APIs und Microsoft Graph Interesse an modernen KI-Technologien und Innovation Flexibilität und Serviceorientierung Teamplayer mit Begeisterungsfähigkeit für Neues Ideale Microsoft Zertifizierungen: AI-102 – Designing and Implementing a Microsoft Azure AI Solution AI-900 – Microsoft Azure AI Fundamentals MS-900 – Microsoft 365 Fundamentals DP-600 – Implementing Analytics Solutions Using Microsoft Fabric (wünschenswert) PL-300 – Microsoft Power BI Data Analyst (wünschenswert) Benefits Home-Office Anteil jährlich bis zu 4 Wochen Workation – mobiles Arbeiten aus dem europäischen Ausland umfangreiches Onboarding ergänzt durch unser Buddy-Programm jährliches Weiterbildungsbudget Mitarbeiter werben Mitarbeiter-Prämie in Höhe von 1.000€ kostenfreies Mittagessen am Healthy Wednesday 200€ Arbeitgeberzuschuss für Deine Arbeitsplatzbrille Arbeitgeberzuschuss zur Vermögensbildung hoher Grad der persönlichen Entfaltung sowie individuelle Förderung Trainingsmöglichkeiten in kooperierendem Fitnessstudio Bike-Leasing-Angebote für Dich und Deine Familie Personalrabatte und Vergünstigungen bei zahlreichen Kooperationspartnern gemeinsame Freizeitaktivitäten Freue Dich auf ein Team, welches auch abseits der Arbeit zusammenhält. Auf unserer Website gewinnst Du einen ersten persönlichen Eindruck und erfährst, was die thinkGROUP auszeichnet. Du und die thinkGROUP - das passt? Wir freuen uns auf Deine aussagekräftige Bewerbung mit Angabe Deiner Gehaltsvorstellung und Deines frühestmöglichen Eintrittstermins! Bei fachlichen Rückfragen vermitteln wir Dir gerne schnell und unkompliziert den Kontakt zur Fachabteilung. think about IT GmbH z.H. Carmela Riga HR Manager Gesundheitscampus-Süd 19 44801 Bochum Tel: 0234/3336721-6040 Find more English Speaking Jobs in Germany on Arbeitnow