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
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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
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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
Who we are Resonance is an Applied AI company, founded by a team of seasoned operators and engineers from Europe's leading software investor and a leading AI consultancy. Collectively we've shipped 30+ AI products, embedded AI into 50+ businesses and created $250m of value for them. AI models are improving faster than companies can use them. The models are good enough today. What's missing is building AI into how a company actually works, and that's what we do. We work with ambitious companies to help fundamentally rewire how they work with AI, and accelerate their growth. Our mission is to help companies reinvent themselves for the AI era and cross the emerging AI productivity gap. The role We are looking for graduates to join Resonance's first graduate cohort in London. You will work on client projects from your first month, alongside senior engineers and transformation leads, turning redesigned processes into AI running in production. You'll join one of two tracks. Tell us which interests you when you apply; if you're not sure, we'll work it out together during the process. Applied AI Engineer: build and ship production AI systems for clients, including agents, integrations, data pipelines and evals, and help build our own AI products and platform AI Transformation Lead: map how a client's key processes really run, find where AI changes the economics, build the business case and prototype new workflows with the latest AI tools What you'll do Work on real client projects Join a client team from your first month and own pieces of work from day one Sit with the people who do the work today and see how AI changes it Build and test Build with the latest AI models and tools, whether that's production code or prototype workflows Track what each build delivers once it goes live, and help client teams run and extend it Grow at pace Coaching from senior engineers, transformation leads and the founding team Take on more ownership as you grow, and help shape our company as a key member of our team Your first year Training: Comprehensive training when you join, covering AI, your track's craft, how we run client projects and the industries we work in Your first project: On a client team from your first month, with a senior engineer or transformation lead who coaches you Progression: You'll start as a Junior Engineer or Junior Transformation Lead and typically move up a level within 18–24 months How we work A small team: You'll know everyone by name, founders included Questions welcome: Nobody expects you to know it all when you start. Asking for help early is part of the job, and senior people make time for it Low ego, high standards: We set a high bar and help each other reach it. Credit is shared, and mistakes are something we learn from together Time together: Three days a week in the office means you learn by working next to people, not just over video calls Who you are Mindset You take the initiative: you start things without being asked and see them through You're obsessed with AI and try new models and tools the day they come out New problems and new domains give you energy, and you like solving them with other people You learn fast and go looking for hard problems Background You're finishing a degree or have already completed one You likely studied Computer Science, Mathematics, Engineering or another technical or quantitative subject You can show what you're capable of through your grades, competitions, internships, societies or things you've built AI fluency You use AI every day and have built something with it: a workflow, an agent, a tool or a project You pick up new tools rapidly and show others how to use them For the engineering track You write good code in Python or TypeScript For the transformation track You structure complex problems quickly and back your arguments with data You're comfortable working with people at every level, from managers to the operators who do the work Nice to have An internship in software engineering, consulting, PE, banking or a high-growth startup AI side projects, open-source work or a company you founded How to apply If this sounds like you, we'd love to hear from you. Send your CV with your grades, your GitHub if you have one, and a short note on something you've built with AI or a problem you're proudest of solving. We hire people from every background and judge them on what they've built. If you don't tick every box above, please don't hesitate to apply. We'd love to chat. Resonance is an equal opportunity employer. We welcome applications regardless of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex or sexual orientation. If you need adjustments at any stage, tell us and we'll make them. Why Resonance Work at the AI frontier: We have investment from a leading frontier lab and some of the most influential leaders in the AI ecosystem; you'll be pushed every day to keep pace with the AI platform shift Solve hard problems with real stakes: Your work will drive tangible outcomes for consequential companies and change the way people and companies operate at scale Learn fast: You'll learn alongside operators and engineers who have embedded AI into 50+ businesses Work with the best: Our aim is to build one of the most talent-dense teams in Europe and worldwide; we're seeking out the top 0.1% of operators and engineers to be part of our mission Close Europe's gap: Europe is falling behind on AI. Every build moves another European business to the right side of the productivity gap Build the firm: Join our first graduate cohort and shape how we train, deliver and grow Top of market compensation: We offer exceptional compensation, with a steep career trajectory and exceptional benefits Location and logistics Location: London. Three days a week in the office or on client sites Travel: Expect 25–50% of your time at clients, mostly in the UK and Europe Right to work: We can sponsor visas for eligible candidates Start date: Summer 2027 (dates tbc) Internships: Summer 2027 internships for students in the penultimate year of their degree Find Jobs in United Kingdom on Arbeitnow
About The Role We're looking for a Senior Product Manager with real technical depth and an AI-first way of working . You'll own a product area end to end: finding problems worth solving, shaping the solution, taking it from 0 to 1 and growing it from there. You understand architecture, you've written code, you know how databases work, and you speak engineering fluently. Your main job is product. The technical depth is what lets you move faster and make better calls. AI isn't a feature we're adding. It's how we work and how we build. Expect roughly 70% product and 30% engineering, with full accountability for results. Your Mission Product direction: set the vision, strategy and roadmap for your area. Decide what to build, why, and how success is measured. 0-to-1 delivery: take new products and features from problem discovery to launch and iteration. Discovery and validation: work directly with users and data to understand real problems, not assumed ones. Run interviews, usability tests and experiments before committing to build. Metrics and outcomes: define, instrument and track the KPIs for your area. Use product analytics to find friction, prioritise the highest-impact work, and shut down what doesn't work. Engineering partnership: understand architectural trade-offs, review technical approaches and unblock decisions. Write specs engineers actually want to read: clear, technical and opinionated. AI and automation: find where LLMs and agents create real product value, build the case, and ship it. Fast prototyping: validate ideas with AI tools (Claude, Cursor, Copilot, agents), scripts, no-code, or whatever gets you to the answer quickest. Hands-on work: write queries, dig into data pipelines, spin up prototypes, and open a PR when it makes sense. Prioritisation: balance user impact, business value, effort and regulatory constraints, and work closely with Engineering, Design, Analytics and business owners to ship continuously. Your Profile 5+ years in product management or product engineering with strong technical involvement, and a track record of taking products from 0 to live use with real users. AI-native: you use LLMs, vibe coding and agents daily, and you've applied LLMs or agentic AI to real products. Strong in Python or a similar language, enough to build things yourself. Comfortable with SQL, git, databases and evaluating system architecture. Fluent in product analytics and research: you define metrics, read data yourself, and validate through interviews, usability testing and experiments. Strong grasp of UX. You can take a complex flow and make it simple. Experience shipping with Design and Engineering in an agile environment. Clear communicator in English and self-directed. You can explain technical decisions to non-technical people, write specs engineers respect, and don't wait to be told what matters. Nice to Have Degree in Computer Science, Software Engineering or a related technical field. Experience in fintech or another regulated industry. Early-stage startup background. Hands-on LLM orchestration or prompt engineering. Background in software engineering, QA or product analytics. Why Join Vivid? We have a hybrid model in our Limassol and Berlin offices, or fully remote outside office locations. We support relocation to Cyprus (visa, package) when needed. AI-first culture – we use it every day, not just talk about it. Learning & development budget to support your professional growth. Fully paid vacation and sick leave. Sports compensation. Real growth prospects, significant responsibility, and the ability to make an immediate impact from day one. Compensation range Final compensation is determined individually, based on your experience, skills and the scope of the role, assessed against objective, gender-neutral criteria. About Vivid At Vivid, we're on a mission to change how businesses and individuals manage their money across Europe. For businesses, we build tools that actually make a difference: multi-IBAN accounts, high-yield savings, business cashback, team cards, and accounting integrations that save real time — all in one place. And for individuals, we offer a simple way to manage and grow your wealth: access to global stocks, ETFs and 150+ cryptocurrencies, cashback, and personalised financial insights. Our mission? Your success. Everyone deserves the chance to see their finances flourish, and we're dedicated to empowering our customers to make this a reality. Founded in 2019 in Berlin by Alexander Emeshev and Artem Iamanov, Vivid has quickly grown into one of Germany's top financial platforms for SMEs and private accounts. Since then, we've expanded rapidly across Europe, earning the trust of over 500,000 customers — and with over €200 million raised and a valuation of €775 million, we're just getting started. We're building Vivid as an AI-native organization — across every function, from product to compliance to operations. Automation handles a growing share of day-to-day execution. For us, this means our teams can focus on architecture, strategy, and high-impact decision-making. This changes how we work: less manual execution, more ownership in building systems that scale. We want to help define what AI-native looks like in a regulated financial environment — and we're looking for people who want to build that future with us. Find Jobs in France on Arbeitnow
Bump Physio & Co is hiring! We?re looking for a friendly, organized, and detail-oriented Client Experience Coordinator to join our Port Moody/Langley team! In this role, you?ll be the go-to person for the clinic ? welcoming clients, managing appointments and waitlists, coordinating billing and payments, and keeping the front desk running smoothly. If you love connecting with people, thrive in a fast-paced environment, and take pride in creating an exceptional client experience, this role is for you! We're looking to hire someone who is available to work on a casual/part-time basis with some flexibility to cover day shifts, evenings and Saturdays when needed as well. *CLIENT EXPERIENCE COORDINATOR* KEY RESULTS: The Client Experience Coordinator is the main point of contact for clients; responsible for ensuring smooth daily clinic operations, coordinating administrative and billing processes, effective schedule management, and creating a warm, welcoming, client-focused environment. KEY OBJECTIVES: * Creates an exceptional front-desk experience by connecting with clients through genuine warmth, empathy, and care. * Coordinates and supports administrative tasks such as appointment scheduling, billing, payments, ICBC, and third party payer submissions with accuracy and efficiency. * Takes ownership of clinic spaces to ensure they are welcoming, organized and well-equipped. * Maintains confidentiality and handles sensitive information with professionalism and discretion. * Consistently follows established procedures in alignment with company values. KEY RESPONSIBILITIES: *Client Experience:* * Responds to telephone, email, and in-person client communication in a timely, friendly and empathic manner. * Coordinates, manages and oversees appointment bookings, waitlists, cancellations and booking out clients? plans of care in alignment with treatment plans and practitioner preferences. * Anticipates and responds to client needs to ensure a smooth care journey. * Acts as a liaison between clients and healthcare providers. * Supports client retention and acquisition by nurturing a positive, client-focused environment. * Ability to be personable, responsible, and demonstrate unsolicited initiative and grace with all members of the team, vendors and clients. * Handles sensitive and confidential information tactfully and discretion. * Responds to client concerns, complaints and questions by actively listening and with empathy. * Creates a warm, respectful environment ? can have funny, silly, uncomfortable and awkward conversations with respect and ease. *Administrative & Operational* * Consistently follows established policies and procedures including telephone scripts, documentation practices, and administrative requirements in alignment with company values. * Ensures accounts receivable, payable, ICBC and 3 party payers are consistently free of errors. * Approaches day to day challenges through practical problem-solving and a solution-focused mindset. * Demonstrates strong communication skills, professionalism, and situational awareness. * Supports light cleaning, organizing, laundry, and other duties as needed to contribute to a welcoming, organized and well equipped clinic environment. *DESIRABLE EDUCATION AND EXPERIENCE* Completion of a High School Diploma supplemented by related administrative, clerical and/or customer service experience. *CORE COMPETENCIES: * *PERSONABLE:* You bring genuine warmth and professionalism to every interaction, and deliver exceptional customer service/client-relation skills. *STRONG COMMUNICATOR: *Demonstrate clear, confident and effective verbal and written communication skills. *EMPATHETIC:* Ability to discuss sensitive or personal information with discretion and care. *COLLABORATIVE: *Work effectively in a team environment, showing strong situational awareness, respect, and accountability. *RELATIONSHIP BUILDING:* Foster an inclusive, welcoming environment that supports strong connect