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Für ein Versicherungsunternehmen in Luzern suchen wir einen Spezialisten der im Rahmen einer Data-Transformation, mithilft zentrale Fähigkeiten im Data Management aufzubauen und zu operationalisieren. Der Fokus liegt dabei auf Data Governance, Data Architecture, Master Data Management (MDM) sowie Data Quality Management (DQM) . Du unterstützt nicht nur konzeptionell, sondern vor allem in der konkreten Umsetzung und übernimmst Verantwortung für die Lieferung greifbarer Ergebnisse. Ziel ist es, nachhaltige Strukturen, Prozesse und Artefakte zu etablieren und die Organisation entlang einer definierten Roadmap weiterzuentwickeln. Aufgaben: Aufbau und Operationalisierung von Data Governance, MDM und DQM Erarbeitung von Zielbildern, Governance-Strukturen und Rollenmodellen (RACI) Definition und Umsetzung von Governance-Prozessen und Architekturmodellen Entwicklung von MDM-Domänenmodellen und Data-Quality-Regelwerken Aufbau von KPI-, Monitoring- und Reporting-Ansätzen Unterstützung bei Tooling- und Setup-Entscheidungen Umsetzung von Pilotprojekten sowie Sicherstellung der Übergabe in den Betrieb Mitwirkung bei der Umsetzung von datenschutzkonformem Löschen Befähigung interner Teams und aktive Mitarbeit entlang der Roadmap Anforderungen: Mehrjährige operative Erfahrung in Data Governance, Data Architecture, MDM und DQM Starker Hands-on- und Delivery-Fokus Nachweisbare Umsetzungskompetenz (keine reine Strategiearbeit) Fundierte Kenntnisse von DAMA und Data Lifecycle Management Erfahrung in regulierten oder komplexen Organisationen (z. B. Versicherung, Finance) Erfahrung mit Governance Toolchains Erfahrung in agilen Organisationen Vorteil : Kenntnisse in AI im Data Management , Knowledge Graphs oder Architektur-Frameworks Generelle Rahmenbedingungen: Start: asap Pensum: 80-100% Arbeitsort: Luzern (Remote nach Absprache) Sprache: Deutsch Find more English Speaking Jobs in Switzerland on Arbeitnow

Staff Product Manager – E-Commerce Web Upper Funnel [Permanent - CDI] (f/m/d) Location: Paris or Lille, France Team: Decathlon E-Commerce Web – Scope Upper Funnel About the Team At the heart of Decathlon's global digital ecosystem, our E-Commerce Web team builds the online destination for millions of sports lovers worldwide. The Upper Funnel scope is the front door of our digital experience: from landing on the homepage and navigating categories, to discovering products via search, AI-driven recommendations, conversational shopping, retail media placements, and inspiring content. Our mission is to seamlessly guide users from inspiration to intent. Joining this high-traffic Web Product organization means operating at massive scale where speed, discovery excellence, SEO, targeted monetization, and next-gen personalized user journeys drive our everyday business impact. YOUR FUTURE CONTRIBUTION As a Staff Product Manager – Upper Funnel , you will provide the strategic direction, functional architecture, and product leadership needed to scale and modernize the discovery and exploration experience across Decathlon's web platform. Operating with high autonomy, you will address complex challenges across search performance, catalog structuring, retail media integration, and emerging AI paradigm shifts like conversational interface models and agentic workflows. Your mission centers on 4 strategic pillars: 1. Strategic Alignment, Stakeholder Management & Upper Funnel Vision Own the Holistic Discovery & Engagement Strategy : Define and drive the strategic vision for upper funnel web touchpoints (Homepage, Category/Listing Pages, Search Engine, Navigation Taxonomy, Retail Media Ad Placements, Conversational Assistants, and Inspiration Hubs). Executive & Cross-Functional Alignment : Partner with global business directors, commercial/merchandising leads, SEO specialists, retail media monetization teams, and AI platform engineering leads to align executive leadership around major web platform shifts and discovery roadmaps. Macro Metrics & Funnel Performance : Track, measure, and optimize key upper funnel metrics across the customer journey: Organic/Direct Traffic, Search CTR, Category Depth, Conversational Engagement & Intent Resolution Rate, Ad Yield/eCPM, Bounce Rate, Product Detail Page (PDP) Click-through Rate, and Top-of-Funnel Conversion. 2. Functional Architecture & Web Ecosystem Orchestration Lead Functional Architect : Define boundary maps and functional scope across web squads (Search & Conversational Discovery, Taxonomy & Merchandising, Personalization/Recommendations, Retail Media & Sponsored Listings) to eliminate overlap and friction. Tight Triad Collaboration : Work in close sync with Staff/Principal Web Engineers and Staff UX/UI Designers to align frontend performance (Core Web Vitals), modular web design systems, micro-frontend architecture, conversational UI patterns, and backend search/ad-serving APIs. Seamless Omnichannel & Funnel Handoff : Ensure fluid transitions from external acquisition channels into the web upper funnel, balancing organic product discovery and agentic assistance with sponsored/retail media inventory while designing seamless handoffs toward the lower funnel (PDP, Cart & Checkout). 3. Strategic Sparring & Product De-Risking Trusted Strategic Advisor : Serve as a sparring partner for Group Product Managers (GPMs) and Product Managers (PMs) within the Web & E-Commerce domain, helping them navigate complex search algorithms, LLM agent architectures, ad server integrations, taxonomy dependencies, and high-volume web constraints. De-Risking High-Stakes Initiatives : Formulate and execute validation strategies for high-risk discovery and monetization concepts (e.g., visual/voice search, conversational product advisors, agentic auto-replenishment/bundles, sponsored product placements). Continuous Experimentation at Scale : Design and lead high-volume A/B and multivariate testing strategies, balancing conversational interaction models and ad impression density against organic conversion performance using CRO frameworks and Opportunity Solution Trees (OST). 4. Elevating Product Craft & Modern Web Capabilities AI-First, Agentic & Monetization Leadership : Champion the organizational adoption of cloud-native AI platforms (e.g., Google Vertex AI), conversational frameworks, agentic e-commerce patterns, and modern retail media capabilities to amplify both user experience and platform revenue. Web Craft & Best Practices : Upskill the PM community in modern web product practices, continuous discovery frameworks, technical web performance optimization, and data-informed decision-making. Community Multiplier : Elevate the overall bar of the Product Management organization as a thought leader without acting as a direct line manager. WHAT YOU BRING TO THE TABLE E-Commerce Web Scale (7+ years) : Proven track record in Product Management with hands-on experience scaling high-traffic e-commerce web platforms (Upper Funnel, Search, Merchandising, or Navigation). Upper Funnel & SEO Expertise : Deep understanding of top-of-funnel mechanics, technical SEO, site search algorithms, taxonomy design, and conversion rate optimization (CRO). Data & Discovery Mastery : Strong expertise in web analytics (GA4/Amplitude/Contentsquare), high-traffic A/B testing frameworks, quantitative/qualitative user research, and Opportunity Solution Trees (OST). Functional Architecture & Scoping : Ability to decompose complex e-commerce catalog, ad-tech, and AI/search problems into modular MVP/V0/V1 execution strategies. Executive Storytelling & Alignment : Exceptional ability to translate complex search/agentic architectures, retail media revenue drivers, UX metrics, and conversion data into compelling narratives for executive stakeholders. Key Pluses & Emerging Tech Strengths : Google Vertex AI : Practical experience using Google Vertex AI (for Search, Recommendations, or custom ML/LLM model deployment) is a major plus. Conversational & Agentic E-Commerce : Solid understanding or experience with conversational AI interfaces (chat/voice product advisors) and agentic commerce concepts (autonomous intent-matching, task-oriented AI agents) is a strong plus. Retail Media & Monetization : Experience with Retail Media concepts and ad management (sponsored products, ad-server integrations, balancing yield vs. UX) is a major plus. Soft Skills & Leadership : Strong strategic influence, ability to thrive in ambiguity, passion for cross-functional collaboration in Triad, and an empathetic approach to mentoring junior PMs. WHAT WE OFFER YOU Hybrid Work Model (Paris or Lille base) 2 days of remote work per week Tailored Equipment (Mac or Windows, according to mission and sustainability commitments); Global Exposure : Local project team within a global retail and digital network with international career opportunities; Continuous Growth : Internal/external trainings, skill development programs, and conference attendance; Comprehensive Compensation : Competitive salary package including employee stock ownership, profit-sharing, and monthly/quarterly performance bonuses. DECATHLON DIGITAL CONTEXT What if technology allowed us to push the boundaries and take sports experiences to new levels? That's exactly our goal at Decathlon Digital! We are a team of 5,000+ experts in software engineering, product management, data, cloud, and cybersecurity, distributed across Paris, Lille, and Amsterdam. Together, we are creating the largest digital sports platform, leveraging tech innovation from design to value chain optimization, connected experiences and product second life. Changing the game for good . We are in this for the love of sports. And like everything we love, we want it to last. That's why we are embarking on a journey to create a more sustainable tech model, reducing our direct environmental impact while maintaining a safe, diverse, and inclusive space for all our people to learn and thrive together. Team up with us to design the digital future of sports. Find more English Speaking Jobs in France on Arbeitnow

About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role As Kernel Software Engineer, you own the low-level software platform that sits between our hardware and the flight application on our ground control stations. You work across the Linux kernel, board support and a custom Android build, so that every control, display and data link works reliably in the field. You are the bridge between our hardware and application teams, taking a new product line from board bring-up to mass production. Responsibilities Bring up, configure and maintain the Linux kernel on our hardware, including device tree, drivers and security patches. Customize and maintain our Android build, covering system services, permissions, boot sequence and OTA updates. Integrate controls, display, touch, battery and radio modules, and expose them cleanly to the application layer. Ensure robust, low-latency SBUS and MAVLink data flows between the controller, the radio and the drone. Debug hardware and software issues alongside electronics and mechanical engineers, using oscilloscopes, logic analyzers and UART/JTAG. Define flashing, provisioning, factory test and release procedures with the production team. Work with QGroundControl engineers and QA to validate system behavior on real hardware. Join field tests and flight sessions to validate your work in real conditions. Candidate Requirements Master's degree in Embedded Systems, Software Engineering, Electronics or a related field. 3+ years of experience in embedded software development. Strong command of the Linux kernel (configuration, device tree, drivers, debugging) and of C; C++ is a plus. Hands-on background customizing AOSP, from HALs and system services to the build system. Comfortable at the hardware boundary: UART, SPI, I2C, GPIO, USB, display and touch controllers. Exposure to drones or robotics, including MAVLink or PX4/ArduPilot, is a plus. Hands-on, autonomous and pragmatic, with curiosity about hardware and the ability to learn quickly. Professional English for technical documentation and international collaboration. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI. Find Jobs in France on Arbeitnow

Company Description We're Checkout.com . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we're behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there's a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you've come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we're shaping the future of fintech – and we're just getting started. Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences. We're looking for Software engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You'll get to work with teams from across Checkout.com 's portfolio of products and services who all have a real customer first philosophy. As a Software engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. What are we looking for: Bachelor's or Master's degree in Computer Science, Engineering, or related field Proficiency in C# .NET, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment. Great communication skills and ability to interact effectively with a wide range of stakeholders Experience working in agile environments and delivering high-quality code within tight deadlines Excellent problem-solving skills and the ability to work independently as well as part of a team Someone who is AI proficient or AI curious, you will be hungry to embrace what the latest technology has to offer to enhance yours and your teams productivity Payments or financial knowledge is a plus, but not a necessity How you'll make an impact Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community. Define and design loosely coupled, scalable systems in a wider microservices using industry best practices. Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout. Write clean, maintainable, extendable and testable code on some of Checkout's most impactful systems. Build, own and operate your systems to the highest levels of resilience and service. Mentor junior team members and assist in their technical development Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you'll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It's a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you're ready to grow and make a difference, you'll be right at home here. It's important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it's like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com , follow us on LinkedIn and Instagram Find Jobs in France on Arbeitnow

Who we are Lemrock builds the infrastructure of agentic commerce. Tomorrow, consumers won't just buy on e-commerce websites. They will discover, compare and purchase directly inside conversational AI interfaces like ChatGPT, Perplexity, and a growing long tail of specialized AI assistants. For brands, this is a major shift: if they are not present in these environments, they become invisible. Our mission: enable any brand to exist, sell and distribute in this new channel. We raised a €7M seed round (the first in Europe on this market), with Jean-Baptiste Rudelle, founder of Criteo, on our board, and the Bpifrance DeepTech label. Today, Lemrock is already: 100M+ conversations per month 150+ brand clients a $100B market structuring at high speed Context You'll join a small, high-ownership engineering team building production systems that serve millions of users. We care deeply about code quality and clean architecture, and we intend to keep it that way as we scale. As our freelance Full-stack Software Engineer, full-time, you will work inside the team like any of its engineers: same codebase, same standards, same ownership. Your mission Your goal is to build and ship the product that powers Lemrock's commerce infrastructure, with full ownership, from design to production. Concretely, you will: Ship features end-to-end that reach millions of users, from data model and API design to the interface they interact with. Scale and harden our backend as traffic, integrations, and product complexity grow. Shape the architecture of the codebase: enforce clean boundaries, maintain modularity, and make decisions that compound as the team scales. Move fast across the stack (backend, frontend, infra, data), wherever the highest-impact work is on any given week. From day one You push your first code to production within your first days, then ship every week You write excellent, well-tested code the team can build on You are reliable: when you take something on, it gets delivered Candidate profile Strong academic background, proven professional track record, or hands-on entrepreneurial experience 3+ years of hands-on software engineering experience Deep proficiency in TypeScript Experience with structured backend architectures (DDD, hexagonal, or similar) Has owned features end-to-end: data model → API → frontend → deployment Uses AI coding tools every day (Cursor, Claude Code) Thrives in ambiguity and 0-to-1 environments: ex-founders or entrepreneurial mindsets are a strong fit Professional proficiency in French & English Tech stack Core (required) TypeScript, NestJS, React PostgreSQL, Redis Docker Clean architecture patterns (hexagonal, ports & adapters) Bonus (appreciated but not required) GCP (Cloud Run, Pub/Sub, BigQuery), Terraform Vector databases, embeddings, LLM integrations Domain-Driven Design (DDD), CQRS TanStack (Router, Query, Table), shadcn/ui, Tailwind, Vite Durable workflows (Inngest, Temporal) The mission Freelance, full-time, starting ASAP 3 months minimum, extended to 6 or 12 months when it works well For the right person, the mission can turn into a permanent role Why join us Join a company in early breakout mode, already generating revenue, with a clear technological edge and strong financial backing to fuel its growth Work directly with an experienced team: two repeat YC founders who've scaled product & tech before, a former strategy/innovation director (10 years in the sector), and ex-strategy consultants (McKinsey QuantumBlack, BCG) Be part of the next structural shift of the web: agentic interfaces Own mission-critical topics, grow fast, and shape the company's future trajectory Daily rate discussed during the process. Find Jobs in France on Arbeitnow

About Pelagon Pelagon is a European defence technology company building Autonomous Maritime Interdiction systems. We bring together sensing, AI, software and maritime engineering to help protect critical infrastructure and maritime environments. The role We are looking for a very senior, hands-on software engineer to own the software running in Pelagon's operations centre: our data infrastructure, processing services, internal tools and customer-facing applications. You will architect the overall platform and build it with the team, from data ingestion and storage to machine-learning workloads, operational applications and deployment. You will be the technical interface between our embedded systems and AI teams, bringing their work together into a coherent, reliable system. This role requires depth across software development, data engineering and DevOps. Our software must run on infrastructure operated by Pelagon or our customers, including self-hosted and on-premises environments. Robustness, operability and cybersecurity must be designed into the system from the outset. What you will own Software architecture and delivery. Define the architecture of our core services, APIs, internal tools and customer-facing applications. Make and document technical decisions, write production code and take responsibility for the system from design through operation. Data infrastructure at scale. Build reliable ingestion, storage and retrieval for large volumes of sensor and operational data. Choose and operate databases and storage systems, design data models, and manage data quality, migrations, retention and performance. Processing and machine-learning workflows. Build the infrastructure to schedule, execute and monitor data-processing and ML jobs. Handle dependencies, resource allocation, retries, reproducibility and failure recovery, working closely with the AI team to bring its workloads into production. Deployment on infrastructure we control. Make the platform reproducibly deployable on Pelagon and customer infrastructure. Own infrastructure automation, software packaging, configuration, release pipelines, upgrades and rollback without depending on managed cloud services. Reliability and operations. Establish observability, performance testing, capacity planning, backup and recovery. Diagnose production issues and build systems that recover predictably from interrupted connectivity, partial failures and faulty inputs. Cybersecurity throughout the lifecycle. Build security into architecture, implementation, deployment and maintenance. Apply threat modelling, least-privilege access, authentication and authorisation, network isolation, secrets management, encryption and audit logging. Establish secure development practices, dependency and vulnerability management, patching and incident readiness. Integration across teams. Define clear interfaces and data contracts with the embedded systems and AI teams. Own integration and end-to-end testing so devices, data pipelines, algorithms and applications operate as one system. Engineering effectiveness. Set a high standard for code, testing, documentation and technical judgement. Mentor engineers and use AI-assisted development tools effectively to accelerate implementation, testing and investigation, while retaining rigorous review, security checks and control over sensitive code and data. What you bring Extensive experience building and operating robust, data-intensive production software, with architectural ownership across multiple components and teams. Strong hands-on software development skills, with the ability to move from system design to implementation and difficult production debugging. Deep experience with data ingestion, databases, storage systems and distributed processing, including the practical challenges of performance, consistency and scale. A strong DevOps and systems background: Linux, networking, containers, orchestration, infrastructure as code and automated delivery. Proven experience deploying and maintaining software on self-managed infrastructure, private infrastructure or customer premises, including operating the services that managed cloud platforms would otherwise provide. Experience building or operating job orchestration and data-processing platforms, and integrating ML workloads into production systems. Practical cybersecurity expertise and a record of applying it to production software and infrastructure. You can identify threats, make security trade-offs explicit and implement effective controls. The judgement to choose maintainable solutions, anticipate failure modes and balance delivery speed with long-term reliability. The ability to lead technically across disciplines, clarify ambiguous requirements and take ownership of the overall outcome. Effective use of modern AI engineering tools, with the discipline to verify generated code and protect confidential information. Useful experience Sensor, time-series, streaming or geospatial data. Compute-intensive workloads, GPU infrastructure or ML platform engineering. Enterprise software deployed across multiple customer environments. Systems with demanding availability, security or connectivity constraints. Operator-facing applications and software connected to physical systems. Why this role You will have substantial ownership of the software foundation behind Pelagon's operations, working directly with the founders, embedded systems engineers and AI team. Your architectural decisions and the code you ship will shape how the complete system is deployed, secured and operated. We value demonstrated ownership: what you built, how it performed at scale, how you secured it and what you learned from operating it. Find more English Speaking Jobs in France on Arbeitnow

About Pelico Traditional industrial manufacturing systems were built for predictability. Supply chains no longer are. Today, real-time data is buried in legacy tools that weren't designed for constant disruption. By the time an issue surfaces, it has already snowballed, sending everyone into firefighting mode. Pelico exists to close the gap between production plans and the daily reality on the factory floor. We've built the manufacturing orchestration platform trusted by the world's most complex industrial operations : companies like Airbus, Boeing, Safran, Eaton, and Cartier. Our AI connects fragmented supply chain, production, and quality data into a single live operational picture — then puts AI agents to work anticipating disruptions, simulating recovery options, and keeping every team aligned before small problems become expensive ones. Founded in 2019 and backed by General Catalyst, 83North, and Serena, we've raised $72M and are growing fast — 300% year-over-year revenue growth, deployed in 15+ countries, and supporting factories worldwide. We're headquartered in Paris, with offices in Miami, London and Amsterdam, and we're just getting started. This is a rare chance to join a company that's redefining an industry that hasn't been disrupted in decades — from the inside. About the Role This role focuses on building performant, maintainable systems while collaborating with cross-functional teams to deliver impactful features that meet business and customer needs. You'll lead development of Pelico's ETL backend in Java, owning scalability and performance for the systems that turn complex, high-volume manufacturing data into a single live operational picture. Your mission Design, develop, and optimize Pelico's ETL backend components in Java, building scalable and efficient solutions for complex data processing Architect scalable, modular services while ensuring data integrity, security, and availability across distributed environments Integrate third-party services and APIs to extend platform capabilities, and collaborate with DevOps to optimize CI/CD pipelines and deployment strategies Develop solutions for large-scale data ingestion, processing, and analysis, optimizing relational database interactions and distributed data systems Mentor junior engineers through code reviews and knowledge-sharing sessions, leading by example on Java best practices Write clean, maintainable, testable code and drive unit, integration, and performance testing to guarantee system stability What we're looking for Strong proficiency in Java or Kotlin (backend), with experience in relational databases and API development Solid understanding of distributed systems concepts and performance optimization techniques Strong grasp of software design principles (SOLID, separation of concerns, DRY) and design patterns, with the ability to write maintainable, testable code Experience with automated testing and CI/CD, and the ability to define and document technical specifications, balancing feature development with technical debt Strong debugging and troubleshooting skills, with the ability to design robust, scalable solutions and identify and mitigate risk You actively embrace AI tools as part of how you work — curious about what's possible and quick to adopt new ways of working smarter and faster. Hands-on experience with AI-assisted workflows — whether for writing, research, analysis, coding, or productivity — and a genuine interest in staying at the frontier of what these tools can do. (Nice-to-have) Experience mentoring or providing technical leadership to junior engineers (Nice-to-have) Experience in manufacturing, aerospace & defense, or industrial sectors is a strong plus What we offer A real ownership mandate over a capability cluster, with equity in a category-defining scale-up Deep, high-leverage problems with real customers and real scale An AI-native engineering culture and a small, elite squad — be challenged, learn, and have fun Hybrid working from our Paris HQ, an international team of 36+ nationalities Your interview experience Intro call with Talent Acquisition (30 min) Hiring manager conversation with the Engineering Manager (45 min) Case Study onsite 1h30 / 2h Leadership conversation + founders (CEO/CTO) Offer + References , run in parallel Pelico is an equal opportunity employer. We're committed to building a diverse team and an inclusive environment where everyone can do their best work. Find Jobs in France on Arbeitnow

About Ryft Ryft is a regulated payment facilitator and authorised payment institution building the infrastructure layer for modern commerce platforms. We enable marketplaces, SaaS platforms and multi-party ecosystems to embed and monetise payments natively. Our technology handles onboarding, compliance, orchestration, split payments and revenue sharing, allowing our partners to focus on growth while we manage complexity. We are now entering the next phase of scale, expanding into new verticals and building a category-defining embedded payments platform. About the Job Are you a senior backend engineer who wants to own the systems that move real money, on a platform still young enough to shape? We are looking for a Senior Backend Engineer to join one of our core payments squads. You'll work in C#/.NET on AWS, building the event-driven services behind everything Ryft does: taking payments, splitting them between marketplaces and their sellers, moving money out, and keeping all of it correct under load and under regulation. This is a hands-on senior engineering role. You'll be in the conversation from design through to production, shaping the architecture, writing the code, reviewing your squad's, and owning what you ship once it's live. Our platform is a few years old, not a few decades: there's genuine greenfield alongside services you'll inherit and improve, and the decisions you make this year will still be load-bearing in three. What You'll Work On Payment integrations: building and extending our integrations with acquirers, processors, and alternative payment methods. Each one is a different set of rules, webhooks, and failure modes to model properly. Marketplace money movement: splits, balances, fees, payouts, and settlement. This is the part of the platform where being nearly right isn't a category that exists. Merchant accounts and onboarding: the services behind automated onboarding, underwriting, and the account lifecycle. In-person payments: our card-present estate, terminals, and the flows that connect physical checkouts to the same platform. Post-transaction flows: refunds, disputes and chargebacks, reconciliation, and reporting the unglamorous surfaces that merchants judge us on. European expansion: new markets, new payment methods, and the platform work that comes with operating in more places. The platform itself: our event-driven service estate on AWS, our infrastructure-as-code, our observability, and the tooling that keeps a small team shipping fast. Responsibilities Build and ship: Deliver backend features end-to-end, from design through to production, to a consistently high standard. Design for correctness: Write services that behave under retries, partial failure, and concurrency. Idempotency, consistency, and accurate money maths are the job, not edge cases. Own it in production: Take real ownership of what you ship instrumentation, alerting, on-call, and incident response in a regulated payments environment. Harness AI, stay in control: Use AI-assisted workflows to multiply your output (we invest heavily in them) while remaining in full command of every line you ship. Raise the bar: Improve the codebase with every feature. Review well, set conventions, and push our standards forward. Contribute to technical direction: Bring your judgement to architectural decisions across the platform, not just inside your own tickets. Collaborate: Work day-to-day with your engineering manager, Product, and the other squads to ship secure, scalable payments features. Experience & Skills Required Strong backend engineering: Significant commercial experience building and running production backend services. We work in C#/.NET, so depth there is ideal but if you're excellent in another modern typed language and will get fluent fast, we want to hear from you. AWS in production: Hands-on experience running services on AWS containers and serverless alike (ECS/Fargate, Lambda, SNS/SQS, DynamoDB or similar NoSQL) and the operational reality that comes with them. Distributed systems judgement: Comfortable reasoning about service boundaries, asynchronous messaging, eventual consistency, and what happens when a downstream provider stops answering. Quality instincts: You care about testable design, meaningful test coverage, and API design, and you know when good enough really is good enough. AI-augmented, engineer-first: You use AI coding tools effectively to move faster, but you review, understand, and take full ownership of the output. We are not looking for someone who ships code they can't explain. Fast, self-directed learner: A track record of getting productive quickly in unfamiliar domains and codebases. Enthusiasm to learn matters more to us than payments knowledge on day one. Small-team fit: Comfortable with the flexibility of a scaling team, happy to own problems end-to-end, and ready to turn your hand to whatever gets the product shipped. Nice to Have Payments or fintech experience: Familiarity with the payment value chain, scheme rules, PCI-conscious development, or building in a regulated financial environment. Infrastructure ownership: Infrastructure-as-code (CloudFormation, CDK, or Terraform), CI/CD pipelines (GitHub Actions), and containerisation (Docker/Kubernetes). Observability: Experience with metrics, tracing, and alerting — Prometheus, Grafana, CloudWatch, or similar. Breadth beyond the backend: Exposure to React or React Native, or experience maintaining published SDKs with external consumers. Why Ryft? If you want to build the systems that move money in a fast-paced, collaborative environment, we'd love to hear from you. We value engineers who care about the craft, speak up with their ideas, and take pride in what they ship. You'll join a team where your voice is heard, your work matters, and there's plenty of room to grow. Find Jobs in United Kingdom on Arbeitnow

About Ryft Ryft is a regulated payment facilitator and authorised payment institution building the infrastructure layer for modern commerce platforms. We enable marketplaces, SaaS platforms and multi-party ecosystems to embed and monetise payments natively. Our technology handles onboarding, compliance, orchestration, split payments and revenue sharing, allowing our partners to focus on growth while we manage complexity. We are now entering the next phase of scale, expanding into new verticals and building a category-defining embedded payments platform. About the Job Are you a strategic thinker who loves the intersection of business, technology, and finance? We are looking for a Senior Product Manager to join Ryft, a high-growth fintech start-up, to help define and drive the next generation of our payments platform. In this pivotal role, you will act as the bridge between our Executive/Sales teams and our Software Engineering teams. You will be responsible for translating high-level business vision and commercial requirements into a concrete, executable product roadmap. You won't just be managing features; you'll be shaping the future of how marketplaces and merchants handle payments globally. This is a hybrid role based in central Manchester, with 2 days per week in the office. Responsibilities Strategic Roadmap Ownership: Work directly with the Exec and Sales teams to identify market opportunities and define the features that keep the Ryft Payments Platform at the cutting edge. Bridge Sales & Engineering: Translate complex commercial needs and customer feedback into clear, actionable technical requirements and user stories for our engineering squads. End-to-End Delivery: Collaborate closely with Software Engineering to ensure features are built to a high standard and delivered on time for Ryft customers. Stakeholder Management: Balance competing priorities between sales-led requests and long-term platform scalability, keeping all parties aligned and informed. Market & Regulatory Insight: Stay ahead of industry trends and regulatory changes (like PSD3) to ensure Ryft remains compliant and competitive. Product Success: Define and track key performance metrics to measure the impact of new features and inform future iterations. Experience & Skills Required Fintech/Payments Background: Proven experience managing B2B or Fintech products, ideally with a deep understanding of the payment value chain (Gateways, Acquirers, etc.). Strategic Communication: Exceptional ability to communicate with both executive leadership and technical teams, translating "business-speak" into "dev-speak" and vice-versa. Prioritisation Excellence: A data-driven approach to prioritisation, with the ability to say "no" or "not now" to protect the platform's integrity. Technical Literacy: While you don't need to write code, you should be comfortable discussing system architecture and technical constraints with senior engineers. Agile Leadership: Experience working in fast-paced, high-growth startup environments using Agile methodologies to deliver complex products. Nice to Have Marketplace Experience: Familiarity with automated merchant onboarding and marketplace settlement flows. Regulatory Knowledge: Experience navigating financial compliance and regulatory landscapes. Why Ryft? At Ryft, we value a "founder's mindset." You will have a massive impact on our trajectory and the autonomy to own significant parts of our product strategy. If you thrive in a collaborative, fast-paced environment and want to build the future of fintech, we want to hear from you. Right to Work: Applicants must have the right to work in the UK. Find Jobs in United Kingdom on Arbeitnow

About Ryft Ryft is a regulated payment facilitator and authorised payment institution building the infrastructure layer for modern commerce platforms. We enable marketplaces, SaaS platforms and multi-party ecosystems to embed and monetise payments natively. Our technology handles onboarding, compliance, orchestration, split payments and revenue sharing, allowing our partners to focus on growth while we manage complexity. We are now entering the next phase of scale, expanding into new verticals and building a category-defining embedded payments platform. About the Job We're hiring a Senior Data Engineer to own everything that happens to our data after it is written. The boundary with Software Engineering is drawn in one line: they own everything up to the write, you own everything after it — capture, ingestion, the bronze layer, and the data services that run on top. You'll build the change data capture and event-driven ingestion platform that gets data out of our source systems reliably, and hand a clean, contracted bronze layer to the analytics team. This is a senior individual contributor role, hands-on every day, working alongside the Data Lead and the Analytics Lead. Year one is build-heavy: CDC and event ingestion into S3 and delivering our warehouse migration end to end. Our current stack is AWS, RDS Postgres, Dagster, dbt, and Superset. This is a hybrid role based in central Manchester, with 2 days per week in the office. What you'll do Build the ingestion layer: Capture change streams off our transactional stores into S3, alongside the domain events our services emit, so the warehouse reflects both current state and what happened to get there. Own the bronze layer: Land data reliably at a known latency, with schema evolution handled deliberately rather than survived. Replay and backfill should be routine operations. Hold the contract at the boundary: Agree with Software Engineering what crosses the write, in what shape, with what notice when it changes — then enforce it on your side, so a schema change is a handled event rather than an outage. Deliver the warehouse migration: Moving off Postgres is a priority for the next twelve months. You'll own it end to end, from evaluation through to cutover, and your view on the target platform carries real weight. Run what you build: Deployments, behaviour in production, observability, runtime cost, and reliability. We're expanding into the EU, so regional data residency is a design constraint from the start rather than a retrofit. What we're looking for Several years building and running production data platforms, comfortable being the most senior engineer on the platform day to day Real AWS depth in production, across S3, IAM, networking, and the ingestion and messaging services (Kinesis / Firehose, EventBridge, SNS, SQS, Lambda or equivalent) Hands-on change data capture and event-driven ingestion — you understand delivery guarantees, idempotency, ordering, duplicates, and replay, and what each costs to get right Strong production Python and SQL, a cloud warehouse (Snowflake, Redshift, BigQuery or similar), and an orchestrator (Dagster, Airflow or equivalent) You've run what you built, been called when it broke, and changed something structural afterwards — Git, pull requests, CI/CD and testing are defaults, not aspirations Comfortable working inside an infrastructure estate you don't own, and able to negotiate what you need from teams whose backlogs you don't control Pragmatic — you ship working things and know when a simple solution now beats an elegant one later Nice to have Payments or fintech experience, particularly transaction, ledger, or reconciliation data Change data capture out of DynamoDB or a similar store A warehouse or platform migration behind you dbt familiarity, so you know how your outputs get consumed Multi-account AWS, data residency work, data contracts or schema registries What you'll get Near-greenfield platform ownership at an FCA-regulated payments business, with the ownership boundaries drawn and agreed — you'll spend your time building, not arguing about whose job something is Direct exposure to senior leadership, with real influence over the target architecture A seat at a fast-growing, well-funded fintech scaling in a genuinely underserved part of the payments market Find Jobs in United Kingdom on Arbeitnow

The opportunity We're a stealth startup in AI and bio, building infrastructure for data generation. The team is small and elite, the problems are hard, and the foundations are being laid right now. You'd help write them from the first line, with real ownership and a direct line to the founders. About us AI for biology has a data problem. The data that matters most doesn't exist yet, so we're building the infrastructure to produce it, with quality and traceability built in from day one. We're in stealth and heads-down on execution. We'll share more about what we're building once you've spoken with the team. What you'll do You will build the core software behind our lab, working across the stack with the founding software engineer and the wider team. Where you land depends on you and on what we need next. Any of these could be yours: Data infrastructure and the data model underpinning how we ingest, process and output data APIs and services that other systems and agents plug into Workflow orchestration and the systems that track what the lab is doing in real time Pipelines that structure incoming data, with audit logging so nothing is unaccounted for The platform underneath it all: data-serving abstractions, auth and access control, and observability Whatever you own, you own it end to end. You will write production code from your first weeks, help set the architecture and the engineering culture, and work closely with scientists and with the team that learns from the data we produce. Your first 90 days FIRST 30 DAYS Get productive in the codebase and ship your first change, following the team's review and deployment practices. Take ownership of a service or surface within the team. DAYS 30 TO 60 Ship a meaningful slice of your surface into use, in the hands of the scientists who depend on it. Wire your work into the shared data model so everything it touches is captured and traceable. DAYS 60 TO 90 Own your surface end to end, including its reliability, observability and on-call. Help shape the architecture and the next hires as the team scales. Who you are You are a generalist who has shipped production systems that other people depend on. You write good code at speed, you have opinions about architecture, and you have learned when to hold them and when to defer. You are happy owning a service end to end, including the parts that are not glamorous. You have worked across the stack and can pick up whatever the problem in front of you needs. You do not need a biology background and we will not test for one; the science is something you will learn by working next to it. What we do want is curiosity about what this infrastructure makes possible, and what it means for the people who will use it. MUST HAVE Bar-raising. You strive for excellence, raise the bar wherever you land, and hold it when it would be easier not to. We care about the finest details in our processes and our software, and you should want to. Speed. Comfortable with ambiguity, with a bias towards action, learning and iterating. You can decide on partial information and revisit when better information arrives. Big-picture thinking. There is a voice in your head asking why you are building this, who it is for, and what would make it 100x better. Range. A generalist: backend services and APIs, data pipelines, and front-end to ship a usable interface. Fluent in at least one language you build production services in, and happy to work in whatever stack the team settles on. AI-native building. You build with coding agents by default, and you have opinions and taste about what they produce rather than blind faith in the output. Engineering discipline. Rigorous CI/CD and automated testing are how you work, not something you bolt on later. End-to-end ownership. Architecture, reliability, observability and the on-call pager, including the parts that are not glamorous. NICE TO HAVE Experience at the software-to-physical-world boundary (lab automation, robotics, manufacturing, logistics, scientific instruments, or energy). Orchestration, scheduling or workflow-engine work, and distributed systems at scale. Data-intensive systems: pipelines, ontologies or knowledge graphs, provenance or lineage. Early-stage or founding-engineer experience at a venture-backed company. Why this is unusual Most software roles like this build a product that lives entirely on a screen. This one connects to the physical world. The software you build drives real experiments, and the data it captures is the product, not telemetry about it. When something deviates, your software is what catches it and records why. You will also work at the same table as software, hardware and biology, and the three do not always agree. Some engineers find that mix energising; some find it distracting. It is worth knowing in advance which one you are. How we work You will work in a hybrid pattern with regular time in London, close to the people and the work, because the software is built close to the thing it runs. The rest of the team is distributed across several locations and works flexibly, and we keep a light shared rhythm: a Monday kickoff, a Thursday all-hands, a short daily team sync, and a quarterly offsite. We are a small team that documents in the open and backs the best idea regardless of who has it. We look after people well. In the UK that means 30 days of annual leave plus public holidays, a pension with a 10% employer contribution, and top-tier private health cover with Bupa, with more added as the team grows. The process Screening, then a behavioural and cultural-fit conversation, then a technical session or work sample with the team, including time in person in London, then references. We are an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. Find Jobs in United Kingdom on Arbeitnow

LEVEL: Scientist / Senior Scientist · LOCATION: London (20 Triton Street) · PATTERN: In-person, lab-based The opportunity We are building the protein production cascade that turns a sequence into characterised, quality-controlled protein at scale, and you will build it from the first manual run. This is the work upstream of every protein data point we generates: DNA design, molecular biology, protein expression, purification, and quality control, developed by hand and engineered to move onto automation. About us AI for biology has a data problem. The data that matters most doesn't exist yet, so we're building the infrastructure to produce it, with quality and traceability built in from day one. We're in stealth and heads-down on execution. We'll share more about what we're building once you've spoken with the team. The role You will build the protein production cascade that sits upstream of molecular characterisation and functional assays: DNA design, molecular biology, protein expression, purification, and quality control through analytical characterisation. The cascade will eventually run autonomously on our automation platform. In the first phase, you develop each step by hand, running protocols manually, setting reproducibility and quality thresholds, and proving each phase works before it moves onto instrumentation. As the automation platform comes online, the work shifts toward instrumented execution, equivalence validation, and the engineering judgement calls that decide which manual steps get automated and which stay in human hands. You will work directly with the automation engineering and software teams on the boundary between scientific protocols and autonomous execution, at Scientist or Senior Scientist level, alongside Principal Scientists at the bench, and you will grow into protocol authorship over the first year. What you will do in your first twelve months PHASE 0 · NOW TO AUG 2026 ◆ Land in the lab. Set up your bench at the London site and start manual assay development alongside a senior member of the protein sciences vertical. ◆ Get hands on the first priority protein production workflows as the day-one assay menu locks. ◆ Start building DNA design and production (linear DNA), protein expression (cell-free), and protein purification and QC at high throughput. Run them by hand on equipment that will eventually move onto the automation platform, capturing the data-structure and metadata decisions that translate into automation design. ◆ Build reproducibility, precision, and acceptance thresholds into the workflow. ◆ Contribute to the day-one menu decisions and begin authoring SOPs for your slice of the assay portfolio. Help interview the scientists and lab technicians joining alongside you. PHASE 1 · SEP TO DEC 2026 ◆ Have a linear DNA, cell-free expression, purification, and QC workflow in a semi-automated state, running at the scale of hundreds to thousands per week and ready for full automation. ◆ Co-design protocols with the software and automation engineering teams so the manual versions you validate are automation-ready by design. Decide which manual judgement calls have to be engineered out before they reach the platform. ◆ Start building DNA design and production (plasmid DNA), protein expression (mammalian), and protein purification and QC at high throughput, again by hand on equipment that will move onto the platform. ◆ Build reproducibility, precision, and acceptance thresholds into the workflow. ◆ Contribute to co-design conversations with the first commercial customers, including the foundation-model partners coming online from 2027. PHASE 2 · JAN TO MAR 2027 ◆ Workcells arrive in the lab. Move the validated assays onto them, running with instrumentation and human intervention in the loop. Validate equivalence against your manual baselines and triage failures. ◆ Open the assay menu to customers through manual and semi-automated services. Run real experiments for real customers. ◆ Help bring on the next scientists and lab technicians as the vertical grows. Who you are You are a protein scientist who is excited about the actual work: designing, running, and validating at the bench. You are comfortable in the details. You have hands-on experience with high throughput, plate-based methods across molecular biology, protein expression, purification, and QC. The shape of the problem is what attracts you: assays designed for autonomous execution from day one, in a business where the data the lab produces is itself the product. You write good SOPs, and you hold yourself and your colleagues to clear reproducibility thresholds. You are pragmatic about being hands-on in the early phase, when the cadence is heaviest, and you understand it eases as protocols move onto instrumentation. You enjoy working at the boundary with non-biologist colleagues (automation engineers, software engineers, AI researchers), and you do not require them to be scientifically fluent before you will collaborate. This role is open at Scientist and Senior Scientist level. The work is hands-on bench science at both, with collaboration into automation and software; the difference is depth of ownership, design authority, and how much of the team you help build. We do not hire people into boxes, and the early team stretches beyond the strict edges of any role. MUST HAVE ◆ Comfortable handling DNA design and linear and plasmid DNA production at high throughput, expressing proteins, and purifying them with QC steps for validation, executing protocols at the bench through manual, semi-automated, and instrumented phases. ◆ Core experience within biologics. ◆ A track record of working alongside non-scientist colleagues (automation, software, computational) on a shared workflow. ◆ A PhD in protein biochemistry, molecular or structural biology, biophysics, analytical characterisation, or biologics developability, with two or more years of relevant hands-on experience; or a relevant science MSc with five or more years of equivalent bench experience in protein science. ◆ Independent, hands-on competence across protein science: molecular biology (DNA production with Gibson and Golden Gate assembly at transfection-grade quality), protein expression (cell-free, IVTT, E. coli and mammalian), and protein purification (automated magnetic-bead workflows), with exposure to at least one of these at high throughput (24, 96, and 384-well plate formats). Protein characterisation across at least two core biophysical methods (for example CE-SDS, DLS, nanoDSF/DSF, analytical SEC, HIC, or LC-MS intact mass analysis). ◆ Confident data analysis, including telling instrument artefacts apart from genuine molecule behaviour. ◆ Fluency with structured experimental data capture, and proficiency with a LIMS, ELN, or analogous data infrastructure. ◆ Ready to grow into protocol authorship and SOP ownership over the first twelve months. NICE TO HAVE ◆ Direct experience moving biophysical or analytical assays from manual workflows onto lab automation platforms (at least a handoff into an automated platform). ◆ High throughput experience in at least one core biophysical platform (SPR or BLI for binding kinetics), plus one or more orthogonal characterisation or developability assays (for example nanoDSF/DSF, DLS, analytical SEC, HIC, AC-SINS, cIEF, or CE-SDS). ◆ Experience developing novel high throughput technologies in DNA generation, cell expression (cell-free, mammalian), or bead-based purification. ◆ Method development and validation experience: defining acceptance criteria, references, and controls that other scientists have run successfully. ◆ SOP and protocol authorship that others have executed, and experience supervising at least one junior scientist or technician. ◆ Experience working with computational or AI/ML colleagues on closed-loop assay programmes. ◆ Background at an AI-native biotech or foundation-model company. Why this is unusual Most protein science roles like this inherit an established workflow and optimise it. This one does not. No assay in this vertical is being retrofitted onto automation; every protocol is designed for AI-in-the-loop execution from the first manual run. The data each assay produces, its output structure, metadata, provenance, and consistency across runs, is treated as a first-class scientific constraint, because that data feeds directly into foundation-model training pipelines. Your decisions at the bench affect what the orchestrator has to do and what data leaves the building. Some scientists find this energising; others find it outside the lane they trained for. It is worth knowing in advance which one you are. How we work This role is on site five days a week at our London Lab. The lab is a physical place and the work is in it. We work in the open. Decisions are written down, work happens in Slack rather than scattered across tools, and the week is bookended by a Monday kick-off and a Thursday wrap that the whole company attends. There is a quarterly offsite. Each person owns their area and makes the call inside it, and we will expect that of you early rather than late. UK benefits are 30 days of annual leave plus public holidays, a pension with a 10% employer contribution, and top-tier Bupa private health cover. More is added as the team grows. The team you will join You will join the protein sciences vertical, working day to day alongside a senior member of the vertical and the automation engineering and software teams who turn the manual cascade into an automated one. Our process and how to apply Our process has four stages. A short screening call about the role and the practicalities. A conversation about how you work, run from the same template for every candidate, before anything technical. A practical exercise drawn from a real problem in our lab, followed by a discussion of what you did and why. Then references, aimed at whatever we still want to understand. We are an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. Find more English Speaking Jobs in United Kingdom on Arbeitnow