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Bouw mee aan recruitment voor een hoogwaardige tech consultancy Senior tech professionals vinden vraagt meer dan vacatures publiceren en sollicitaties beoordelen. De beste kandidaten zijn vaak niet actief op zoek. Je moet weten waar je ze vindt, hoe je ze benadert en hoe je ze enthousiast maakt voor een inhoudelijk gesprek. Bij Conflux zoeken we daarom een Senior Corporate Tech Recruiter die recruitment en sourcing beheerst. Iemand die zelfstandig de arbeidsmarkt benadert, hiring managers adviseert en verantwoordelijkheid neemt voor het volledige recruitmentproces. Conflux is een Nederlandse tech consultancy met gespecialiseerde expertise binnen onder andere Data & AI, Software Development, Cloud en Platform Engineering. Onze consultants werken aan complexe technische vraagstukken en behoren inhoudelijk tot de ervaren professionals binnen hun vakgebied. Dat betekent dat onze recruitment vraagstukken niet eenvoudig zijn. We zoeken onder andere Senior Data Engineers, Machine Learning Engineers, Java Developers, Kubernetes Engineers, Platform Engineers en Front-end Developers. Daarvoor zoeken we een recruiter die zijn of haar vak verstaat. Wat je gaat doen Je bent verantwoordelijk voor de werving van ervaren technische consultants binnen onder andere: Data Engineering & AI Machine Learning Java Development Kubernetes & Cloud Native Cloud & Platform Engineering Front-end Development Je beheert het recruitmentproces van arbeidsmarktanalyse en sourcing tot selectie en aanbieding. Concreet betekent dit dat je: actief technische professionals sourcet en benadert, onder andere via LinkedIn Recruiter en andere sourcingkanalen; zelfstandig searches en sourcingstrategieën ontwikkelt voor moeilijk vindbare doelgroepen; kandidaten screent op ervaring, technische context, motivatie en consultancy-fit; hiring managers adviseert over doelgroep, haalbaarheid, arbeidsmarkt, selectiecriteria en recruitmentaanpak; kandidaten gedurende het volledige proces begeleidt en zorgt voor een professionele en persoonlijke candidate experience; interview- en selectieprocessen bewaakt en waar nodig bijstuurt; talentpools opbouwt en relaties onderhoudt met relevante professionals; data en recruitmentinzichten gebruikt om keuzes en prioriteiten te onderbouwen; externe recruitmentpartners inzet wanneer dit aantoonbaar waarde toevoegt; kansen signaleert om recruitment slimmer, sneller en effectiever te organiseren. Ongeveer 85% van je tijd ben je bezig met recruitment en sourcing. De overige tijd gebruik je om recruitment verder te professionaliseren, bijvoorbeeld op het gebied van tooling, data, processen, arbeidsmarktcommunicatie, AI of nieuwe sourcingmethoden. Je bent daarmee niet alleen verantwoordelijk voor vacatures, maar mede-eigenaar van hoe recruitment binnen Conflux wordt uitgevoerd en ontwikkeld. We zoeken nadrukkelijk een ervaren tech recruiter die zelfstandig kan opereren in een markt waarin kandidaten schaars zijn en actief gevonden en overtuigd moeten worden. Dit breng je mee Minimaal 6 jaar professionele recruitmentervaring. Minimaal 4 jaar aantoonbare ervaring met IT- of tech recruitment. Ervaring met het zelfstandig werven van ervaren of senior technische professionals. Aantoonbare ervaring met active sourcing en direct search. Je weet hoe je een technische doelgroep analyseert en vertaalt naar een effectieve search- en benaderingsstrategie. Je kunt inhoudelijk voldoende meepraten over technische rollen en begrijpt het verschil tussen bijvoorbeeld software engineering, data engineering, machine learning, cloud en platform engineering. Je bent ervaren met LinkedIn Recruiter en weet dat goede sourcing verder gaat dan alleen LinkedIn. Je bent een stevige gesprekspartner voor hiring managers en durft recruitmentvraagstukken kritisch te benaderen. Je kunt zelfstandig prioriteiten bepalen en meerdere complexe vacatures tegelijkertijd managen. Je combineert snelheid met kwaliteit en houdt grip op voortgang en candidate experience. Je spreekt en schrijft professioneel Nederlands en Engels. Ervaring met recruitment binnen tech consultancy, IT-dienstverlening, detachering of een vergelijkbare kennisintensieve omgeving is van toegevoegde waarde. Wie jij bent Je hebt weinig dagelijkse aansturing nodig. Je ziet waar recruitment stagneert, onderzoekt waarom en komt met oplossingen. Je wacht niet alleen op sollicitanten, maar gaat zelf de markt in. Je bent nieuwsgierig naar nieuwe sourcingmethoden, tooling en technologie en experimenteert graag met manieren om moeilijk bereikbare kandidaten toch te vinden. Tegelijkertijd begrijp je dat recruitment uiteindelijk draait om mensen. Je bouwt relaties op, communiceert duidelijk en zorgt ervoor dat kandidaten ook bij een afwijzing een professionele ervaring hebben. Waarom Conflux? Je komt terecht in een organisatie waarin recruitment dicht op de business zit. De lijnen met hiring managers en directie zijn kort en er is ruimte om vanuit jouw expertise invloed uit te oefenen op hoe we recruitment organiseren. Je krijgt: veel zelfstandigheid en vertrouwen; directe invloed op recruitmentstrategie en sourcing; ruimte om nieuwe sourcingmethoden en tooling te introduceren; inhoudelijk sterke collega's binnen verschillende technische disciplines; korte lijnen met hiring managers en directie; ruimte om recruitmentprocessen daadwerkelijk te verbeteren. Wat we bieden Een salaris van €4.600 tot €5.900 bruto per maand op fulltime basis, afhankelijk van ervaring. Vakantiegeld ter hoogte van 8% Een bonusregeling op basis van persoonlijke en bedrijfsdoelstellingen. Een flexibel mobiliteitsbudget, inzetbaar voor bijvoorbeeld een elektrische auto, declaraties of bruto uitbetaling. Een maandelijkse pensioenbijdrage. Een dienstverband van minimaal 32 uur per week, met voorkeur voor 36 of 40 uur. Laptop en telefoon. Regelmatig gezamenlijke activiteiten en evenementen. Een hybride werkomgeving met kantoor in Utrecht. We werken flexibel, maar recruitment is bij Conflux nadrukkelijk een vak waarbij relaties belangrijk zijn. Daarom verwachten we dat je regelmatig op kantoor in Utrecht aanwezig bent om nauw samen te werken met hiring managers, consultants en collega's. Proces We maken graag kennis met je. Daarbij kijken we niet alleen of jij bij Conflux past, maar ook of Conflux aansluit bij de manier waarop jij recruitment wilt bedrijven. Je solliciteert met je cv. In het eerste gesprek maak je kennis met de recruiters met wie je gaat samenwerken. We bespreken daarbij nadrukkelijk je ervaring met tech recruitment, sourcing en stakeholdermanagement. In het tweede gesprek ontmoet je de directie en gaan we verder in op wederzijdse verwachtingen en jouw visie op recruitment. Zijn we daarna allebei enthousiast? Dan volgt een aanbieding en kun je samen met ons verder bouwen aan recruitment binnen Conflux. Find Jobs in Netherlands on Arbeitnow

Als Senior Kubernetes Engineer bij Conflux Consulting help je organisaties bij het ontwerpen, bouwen en optimaliseren van moderne cloud-native platformen. Je opereert op het snijvlak van infrastructuur, software engineering en DevOps. Je bent niet alleen uitvoerend sterk, maar ook inhoudelijk richtinggevend. Je adviseert klanten over containerisatie, platformarchitectuur en schaalbaarheid. Je bouwt productieklare Kubernetes-omgevingen en zorgt dat deze veilig, betrouwbaar en toekomstbestendig zijn. Wat ga je doen? Ontwerpen en implementeren van Kubernetes-platformen (on-prem, hybrid of cloud-native) Adviseren over containerstrategie en cloud-architectuur Opzetten van CI/CD pipelines en GitOps-implementaties Inrichten van observability (monitoring, logging, tracing) Automatiseren van infrastructuur met Infrastructure as Code Begeleiden van DevOps- en engineeringteams Actief bijdragen aan de verdere opbouw van de Kubernetes/Platform practice Je past goed bij deze rol als je jezelf herkent in (een deel van) het onderstaande profiel: Minimaal een afgeronde HBO Bachelor opleiding, bij voorkeur in Informatica, Software Engineering, Technische Informatica of vergelijkbaar Minimaal 5+ jaar ervaring in Cloud/DevOps/Platform Engineering Aantoonbare ervaring met productie-omgevingen op schaal Diepgaande kennis van Kubernetes in enterprise-omgevingen Ervaring met AWS (EKS), Azure (AKS) en/of GCP (GKE) Ervaring met CI/CD en Infrastructure as Code (bijv. Terraform) Ervaring met containerisatie (Docker) Sterke communicatieve vaardigheden en consultancy-ervaring Vermogen om complexe infrastructuurvraagstukken helder uit te leggen aan zowel engineers als stakeholders Toegevoegde waarde CKA en/of CKS certificering Ervaring met GitOps (ArgoCD, Flux) Ervaring met observability tooling (Prometheus, Grafana, ELK) Ervaring met security hardening en cloud security Scripting (Bash, Python) Benefits Salaris tot €6.500 bruto per maand (op basis van 40 uur), afhankelijk van kennis, ervaring en senioriteit Mobiliteitsbudget van €825 per maand of een leasebudget van €925 Goede pensioenregeling 25 vakantiedagen Hybride werken: thuis, bij de klant en op kantoor Vrije keuze in laptop en telefoon Ontwikkeling & inhoud Opleidingsbudget en ruime mogelijkheden voor certificering Uitdagende projecten bij toonaangevende organisaties Actieve rol in het inhoudelijk verder vormgeven van Conflux Consulting Werkomgeving Informele cultuur met sterke, inhoudelijk gedreven engineers Veel ruimte voor initiatief en ondernemerschap CAO & arbeidsvoorwaarden Conflux is aangesloten bij de Vereniging van Detacheerders Nederland (VvDN); op deze functie is de CAO voor Detacheerders Nederland (VvDN) van toepassing. Over Conflux Consulting Conflux Consulting is een gespecialiseerd IT-consultancy collectief met focus op hoogwaardige engineering. Wij combineren technische diepgang met ondernemerschap en bouwen duurzame klantrelaties op basis van expertise. Word onderdeel van Conflux Wij verwelkomen talent met diverse achtergronden en nodigen iedereen uit om te solliciteren, ongeacht gender, achtergrond of andere kenmerken. Heb je vragen over de vacature? Neem contact op met Puck Schelstraete (Talent & Development Lead) via Interim Talent Acquisition Specialist ) via +31 (0)6 40 87 55 89. Hopelijk tot snel! Find more English Speaking Jobs in Netherlands on Arbeitnow

The Senior Machine Learning Engineer, ML Platform is responsible for building, running, and evolving the ML monorepo used by the X-ray, CT, and MRI machine learning group at DeepHealth. The monorepo covers the full path from experimentation to product: dataset and sample definitions, training and evaluation code, experiment tracking, model export, and the inference servers that run in production. Everyone on the team contributes to the monorepo; this role is the single point of accountability for it. This hands-on role owns the architecture, tooling, and engineering standards of that codebase for a distributed team of about twenty machine learning engineers and scientists, working with model developers and software engineers to make the team's work fast, better, and easier to audit. It also leads the team's agentic coding strategy, shaping how AI coding agents are used across the codebase. The role reports to the Leader of the ML for X-ray/CT/MRI group. Essential Duties and Responsibilities Own the architecture and roadmap of the ML Monorepo: Module boundaries, shared abstractions for datasets and samples, training and evaluation loops, configuration, and experiment tracking. Build and run the engineering tooling around the codebase: Continuous integration, testing, dependency management, containers, artifact and model registries, and GPU job scheduling on cloud (GCP) and HPC infrastructure. Own the path from trained checkpoint to deployable model: Model packaging, inference servers with enforced API contracts, reproducibility, and performance and memory budgets on target hardware. Define and enforce engineering standards (code review, testing, documentation) in a way that accelerates research rather than slowing it down. Ensure traceability of data, code, and model versions across experiments and releases. Investigate and resolve performance, reliability, and usability issues in the stack raised by the team and reduce their recurrence through shared tooling. Drive the team's agentic coding strategy: define how AI coding agents are used in the monorepo, set up the tooling, guardrails, and conventions that make them effective, and help colleagues adopt them. Review code, mentor colleagues on engineering practices, and communicate technical decisions and trade-offs clearly. PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time. Minimum Qualifications, Education and Experience Master's degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience (required). 5+ years of software engineering experience, including a significant portion building infrastructure or tooling used by machine learning teams, such as an ML platform or a training framework (required). Strong Python skills and software engineering fundamentals: API design, testing, refactoring, and attention to developer experience (required). Solid PyTorch knowledge and practical experience with model training and profiling (required). Experience running ML workloads on a cloud platform, ideally GCP (Vertex AI, Artifact Registry, IAM, storage), and with containerization (required). Experience taking models to production: model packaging, inference serving, and performance and reliability constraints (required). Ability to work closely with researchers, translate recurring pain points into shared tooling, and push back constructively when needed (required). Ability to work autonomously in a distributed, multi-site team, with clear verbal and written communication in English (required). Medical imaging experience (DICOM, 3D volumes, large images) (preferred). HPC and Slurm experience (preferred). Contributions to open-source ML tooling (preferred). Quality Standards Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors. Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance. Follows all local, regional and country laws concerning employment. Follows all DeepHealth policies and procedures. Follows data privacy, compliance, safety and confidentiality standards at all times. Practices universal safety precautions. Promotes good public relations on the phone and in person. Adapts and is willing to learn new tasks, methods, and systems. Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines. Completes job responsibilities in a quality and timely manner. Travel This position may require occasional travel between team sites (Paris, the Netherlands, Grenoble/Rennes). Working Environment Office / Hybrid. Paris, Île-de-France, France. Physical Demands The employee must be able to perform the essential duties and responsibilities of the position, with or without reasonable accommodation. Salary: Dependent upon experience 50,000-80,000 EURO Find Jobs in France on Arbeitnow

Up to £100,000 depending on experience 📍 Salary based on London. Hybrid, with flexible hours. Fanvue is one of the fastest-growing creator monetisation platforms globally. We're an AI-powered, creator-first platform helping creators connect, engage, and earn directly from their audiences at scale. Following our recent Series A, Fanvue has surpassed $200m+ in annual recurring revenue, with triple-digit year-on-year growth, supporting hundreds of thousands of creators and millions of fans worldwide. Growth engineering at Fanvue exists to move core product metrics fast. It's a small team that reads out experiments every week, and the surface area is enormous: signup, onboarding, activation, referral loops, retention, and the funnels underneath all of them. There is far more worth testing than there are people to test it. This role exists to close that gap. 🎯 The Role We're hiring a Full Stack Engineer to work on Fanvue's Growth streams, partnering closely with Product, Design, Data and Marketing to design, ship and iterate on high-impact experiments across acquisition, onboarding, activation and retention. This is highly execution-focused. You'll be testing ideas in production within your first weeks, not writing specs about them. The team runs on a weekly experiment cadence with real readouts, so the loop between an idea and knowing whether it worked is short, and you own both ends of it. It suits someone who wants to be judged on whether the metric moved. 🚀 What You'll Do Design, build and ship growth experiments across signup, onboarding, activation and retention flows Own features end to end, from idea through implementation, measurement and iteration Build and refine growth loops such as referrals, sharing mechanics and viral surfaces Run A/B and multivariate tests, and read the results honestly, including the ones that kill your own idea Partner with Product and Design to prioritise and scope what's worth testing Improve the performance and reliability of growth-critical user journeys Use analytics and data tooling to guide technical and product decisions Continuously find and remove friction in creator and fan funnels 👀 Who You Are Strong full stack engineering experience with a clear bias toward shipping Comfortable across frontend and backend, and willing to go wherever the problem is Experienced with modern web stacks such as TypeScript, Node.js, React and relational databases Familiar with experimentation frameworks, analytics tooling and funnel metrics Comfortable in ambiguity, with a strong bias toward action Data-informed and outcome-driven rather than feature-focused A clear communicator who works well with product, design and growth partners High ownership, high agency, and an appetite for fast iteration Nice to have Experience in the creator economy, consumer subscription, marketplaces or social platforms Hands-on with Amplitude, Mixpanel, PostHog or similar A track record of growth loops you built that are still running ✨ You'll Thrive Here If You'd rather ship a scrappy test this week than a polished one next quarter You want to be measured on whether the number moved, not on what you delivered You're happy to kill your own experiment when the data says so You go and find the opportunity rather than waiting for it to arrive as a ticket ⚠️ You'll Struggle Here If You prefer long planning cycles to fast iteration You need tightly defined requirements before you can start You optimise for technical purity over measurable impact You're uncomfortable with a roadmap that changes when the results say it should 🌍 Why Join Fanvue? Sunday Times Best Places to Work, two years running. We don't just say we have great culture, we prove it Ship work that directly moves growth, activation and revenue, and see it in the numbers the same week Work at the intersection of product, data and engineering, with high visibility across the business Fanvue supports hundreds of thousands of creators and millions of fans globally. The problems you solve here are real and immediate Series A momentum: triple-digit growth means the work you do now sets the standard for years Unlimited holiday Hybrid working, with flexible hours according to when you work best Salary reviews every six months, we don't wait for annual cycles to recognise your growth Budget for growth and wellbeing, plus support with upskilling and development costs A culture built on innovation, speed, excellence, ownership and transparency ⭐ Fanvue is for Everyone We know that diverse teams build better products. Even if you do not meet every requirement, we encourage you to apply. Potential, mindset, and ambition matter just as much as experience. Find Jobs in United Kingdom on Arbeitnow

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. The Role We are looking for an Engineering Leader to manage and scale multiple product lines in the Voice, BPO, and Workforce Management space. This is a high-impact leadership role that sits at the intersection of real-time voice systems, operations research, and data-intensive platform engineering. You will report directly to the Head of Engineering and own the engineering organization that builds the infrastructure powering Ema's Voice AI Employees, Agent QA, auto-learning pipelines, rich analytics, and workforce optimization capabilities — all operating as scalable, multi-tenant systems deployed across global geographies. You will collaborate with Product, ML/AI, and Go-to-Market teams to translate customer needs into production systems that handle high volumes of voice data, deliver real-time insights, and continuously improve through automated learning loops. As the owner of multiple product lines, you will balance roadmap priorities across Voice, BPO operations, and WFM (work force management) — ensuring each product evolves cohesively while meeting distinct customer needs. What You Will Do Scalable Multi-Tenant Systems Architect and build multi-tenant systems that serve enterprise customers across geographies with strict data residency, isolation, and compliance requirements. Design high-throughput ingestion systems capable of processing large volumes of voice data, call metadata, and operational telemetry in near real-time. Make foundational architectural decisions on data stores, stream processing, and storage tiers — balancing query performance, cost, and operational simplicity. Champion SOLID principles, clean architecture, and engineering rigor across all codebases — ensuring systems are testable, extensible, and maintainable at scale. Team Building & Engineering Culture Recruit, hire, and develop senior engineers across a multi-disciplinary function spanning voice engineering, backend systems, data engineering, and applied operations research. Establish engineering standards, code review culture, and a strong bias toward shipping — with equal commitment to system reliability and customer experience. Coach and grow senior/staff engineers into technical leaders; manage engineering managers as the organization scales. Drive cross-functional alignment with Product, ML/AI, and Go-to-Market teams to ensure the platform evolves in lockstep with customer needs and market feedback. Voice Platform & Agent QA Own the end-to-end engineering for Ema's AgentQA capabilities — real-time voice pipelines, telephony integrations, and voice-to-action workflows. Build and scale the Agent QA platform: automated call scoring, compliance monitoring, sentiment analysis, and coaching feedback loops. Design auto-learning systems that continuously improve voice agents from production interactions — closed-loop feedback, model retraining triggers, and quality regression detection. Deliver rich voice analytics: call volume trends, handle time distributions, first-call resolution metrics, agent performance dashboards, and anomaly detection. Build scalable voice pipeline across geographies – keeping in mind PII, security and compliance requirements. Workforce Management & Operations Research Build WFM capabilities including demand forecasting, shift scheduling, real-time adherence monitoring, and capacity planning — applying operations research techniques to optimize workforce utilization. Design and implement optimization algorithms for headcount modeling, skill-based routing, and workload balancing across multi-site, multi-timezone contact center operations. Partner with ML/AI teams to integrate predictive models for call volume forecasting, attrition risk, and staffing efficiency. What We Look For Required 12+ years of software engineering experience, with 4+ years leading engineering teams of 8+ engineers at high-growth startups or top-tier tech companies. Deep expertise in building real-time, data-intensive systems. Strong foundation in data stores and storage systems: relational databases, time-series stores, columnar analytics engines, and caching layers — with the judgment to choose the right tool for the workload. Experience building quality software using AI-driven tools and workflows. Track record of taking products from 0→1 and iterating rapidly based on customer feedback. Hands-on proficiency with SOLID principles, clean architecture, and design patterns — you write and review production code and lead by example on system design. Experience building scalable multi-tenant SaaS platforms with data isolation, geo-distributed deployments, and compliance requirements (SOC 2, GDPR, HIPAA). Track record of building ingestion systems for high volumes of load — event-driven architectures, stream processing (Kafka, Flink, or equivalent), and batch/real-time hybrid pipelines. Strong product sense: ability to deeply understand customer problems in contact center, voice, and workforce domains and translate them into clean technical solutions. Proven ability to hire, develop, and retain high-caliber engineers across multiple disciplines in competitive markets. Good to have Experience in voice/telephony systems: WebRTC, SIP, voice-over-IP infrastructure, or contact center platforms. Background in operations research or optimization: scheduling algorithms, linear/integer programming, constraint satisfaction, or demand forecasting models. Experience building analytics platforms: OLAP systems, real-time dashboards, metric computation engines, or BI infrastructure. Prior work on auto-learning or continuous improvement systems: feedback loops from production data, automated retraining pipelines, or quality monitoring systems. Experience with AI/ML-powered products in enterprise settings — agentic automation, LLM orchestration, or AI-driven UX. Familiarity with WFM or contact center operations — staffing models, Erlang-based capacity planning, or real-time adherence systems. Why Ema Build at the intersection of Voice AI, operations research, and enterprise-scale systems — a rare combination of deeply technical challenges with direct customer impact. Shape the engineering foundation of a category-defining AI platform — your architectural decisions will power how the world's largest enterprises run their voice and workforce operations. High-impact, high-visibility role with direct access to the Head of Engineering, co-founders, and enterprise customers. A team of exceptional engineers from Google, Meta, Microsoft Research, and top CS programs worldwide. Competitive compensation, meaningful equity, and the opportunity to build something that matters. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Job title: Founding Healthcare Lead Location: London; full in-office working as default Start date: ASAP Reports to: CCO Compensation: Salary and Equity options available for discussion Application deadline: 01/11/26 at 23:59 UK time ___________________________________________________________________________ About Cosine Cosine is an applied AI research and engineering company building frontier AI models and autonomous software engineering systems. We're developing the UK's first sovereign frontier large language model, alongside specialised models trained for complex, high-stakes applications. Our technology can be deployed in highly secure environments, including fully air-gapped infrastructure, enabling organisations to adopt advanced AI without compromising control over their data or systems. We work with some of the world's most complex organisations across defence, financial services and other critical industries, helping them develop, customise and deploy AI capabilities that solve real operational problems. We're now looking to build a substantial presence in healthcare and life sciences. ___________________________________________________________________________ The Opportunity We're looking for an exceptional Founding Healthcare Lead to build and lead Cosine's healthcare and life sciences business from the ground up. This is an entrepreneurial role at the intersection of frontier AI, healthcare and commercial strategy. You'll identify where our technology can have the greatest impact, build relationships with leading healthcare organisations, and turn those opportunities into meaningful commercial partnerships. We're particularly interested in applying our capabilities to problems that require secure deployment, highly specialised AI models, complex data processing and deep integration with existing enterprise systems. You'll work directly with Cosine's leadership, researchers and engineers to shape our approach to the sector and help establish healthcare as one of our most important markets. This isn't a conventional sales role. You'll be expected to develop the strategy, originate opportunities, shape solutions and build a business. ___________________________________________________________________________ What you'll do Build our healthcare business Define and execute Cosine's go-to-market strategy across healthcare, pharmaceuticals, biotechnology and the wider life sciences ecosystem. Identify the highest-value applications for Cosine's technology, particularly where generic AI solutions fall short. Establish relationships with senior leaders across healthcare providers, pharmaceutical companies, research institutions and technology partners. Build and own a pipeline of significant commercial opportunities, from initial engagement through to contracts and long-term partnerships. Shape high-impact AI opportunities Work with customers to identify complex problems that could benefit from bespoke AI models, agentic systems or autonomous software engineering. Translate customer needs into clear technical and commercial proposals, working closely with Cosine's ML and engineering teams. Structure and negotiate commercial agreements spanning pilots, bespoke model development, enterprise licensing and strategic partnerships. Help customers navigate the practical challenges of deploying AI in healthcare, including data governance, security, regulatory requirements and integration with existing systems. Build the foundations of a new vertical Develop a deep understanding of where Cosine can establish a differentiated position in healthcare. Represent Cosine at industry events, executive meetings and strategic discussions. Feed market insights back into our research and product roadmap, helping us prioritise the capabilities with the greatest commercial potential. Work across the organisation to ensure that customer engagements translate into successful deployments and sustainable long-term relationships. As the business grows, help build the team, partnerships and operating model required to scale the vertical. ___________________________________________________________________________ What we're looking for We're open-minded about backgrounds, but expect the successful candidate to combine deep healthcare industry knowledge with exceptional commercial judgement and entrepreneurial drive. Essential Significant commercial, strategic or operational experience in healthcare, pharmaceuticals, biotechnology or life sciences. A strong understanding of how major healthcare organisations operate, buy technology and make investment decisions. A track record of building senior relationships and turning complex opportunities into commercial outcomes. The ability to engage credibly with both technical and non-technical stakeholders, from researchers and engineering teams to senior executives. Strong commercial instincts, including the ability to identify genuine customer problems, develop business cases and negotiate complex deals. Genuine enthusiasm for AI and a strong understanding of its emerging capabilities and limitations. High levels of independence, ownership and comfort operating in an early-stage, fast-moving environment. Particularly interesting Experience commercialising AI, machine learning, data platforms or other advanced technologies within healthcare. An established network across pharmaceutical companies, biotechnology firms, NHS organisations, healthcare technology providers or research institutions. Experience with bespoke model development, AI infrastructure or enterprise AI deployments. Familiarity with healthcare data governance, clinical safety, information security and relevant regulatory frameworks. Experience building a new business line, entering a new market or taking an emerging technology from initial concept to significant revenue. A background spanning both technical and commercial roles. ___________________________________________________________________________ Why join Cosine Work at the frontier of AI. We're not simply integrating third-party AI models. We're building and training our own models, developing the infrastructure to deploy them, and creating the agentic systems that make them useful. Build something from the ground up. You'll have the opportunity to define an entirely new business vertical, with meaningful influence over strategy, partnerships, product direction and commercial growth. Work on problems that matter. Healthcare and life sciences present some of the most important and technically challenging opportunities for AI, from accelerating research to improving the efficiency and resilience of critical systems. Work alongside exceptional people. You'll collaborate directly with a team of ML researchers, engineers and commercial leaders developing frontier AI technology and deploying it into some of the world's most demanding environments. Have real ownership. This is a founding role with significant autonomy, direct exposure to the leadership team and the opportunity to build a substantial business within Cosine. ___________________________________________________________________________ What Success Looks Like Within your first year, we'd expect you to have: Established a clear, differentiated strategy for Cosine in healthcare and life sciences. Developed strong relationships with a focused group of strategically important customers and partners. Originated and closed our first significant commercial engagements in the sector. Identified repeatable use cases and commercial offerings that can support sustained growth. Established healthcare as a credible and scalable business vertical for Cosine. We're looking for someone who wants to do more than sell an existing product. We want someone excited by the opportunity to help define how frontier AI is developed, commercialised and deployed across healthcare. ___________________________________________________________________________ Cosine is an equal opportunity employer. We value diverse backgrounds, perspectives, and ways of thinking, and we're committed to creating an inclusive and respectful workplace. We encourage applications from anyone who meets the role requirements, even if you don't meet every single qualification. If you need reasonable adjustments at any stage of the hiring process, we're happy to discuss them. ___________________________________________________________________________ Compensation, Benefits & Ways of Working We're an in-office team, five days a week, by design. We believe the work we're doing benefits from being together, collaborating closely, and building shared context. What you can expect: Competitive salary , benchmarked to the market Equity / share options , so you share in the upside you help create 30 days' holiday + bank holidays Work hard in the office, collaborate closely, and switch off properly Dog-friendly office — bring your dog to work Weekly team breakfast & lunch Monthly socials Pension High-quality equipment to do your best work We care about focus, sustainability, and doing great work — not performative overwork. We value people who show up, contribute thoughtfully, collaborate well with their colleagues, and then go home. This role won't suit everyone. But if you're looking for a fast-moving environment, close collaboration, and a team that takes both the work and work-life balance seriously, it's a great place to be. ___________________________________________________________________________ Agency & Data Protection Notice To comply with UK GDPR and our internal data-protection and equal-opportunity obligations, we only accept candidate applications and agency submissions via our Applicant Tracking System (ATS). This ensures appropriate privacy notices, lawful processing, auditability, and consistent retention controls. Any CVs or candidate details received outside the ATS (including via email, Slack, or direct message) will be treated as unsolicited, will not be considered as part of the recruitment process, and will not give rise to any fee or payment obligation. Find Jobs in United Kingdom on Arbeitnow

Job Title: Defence Account Director Location: London; full in-office working as default Start date: ASAP Reports to: CCO Compensation: Salary and Equity options available for discussion Clearance: Must be eligible to hold UK Security Vetting Clearance SC or above (no prior clearance required) Application deadline: 01/11/26 at 23:59 UK time ___________________________________________________________________________ Help make sovereign AI operational for UK Defence Cosine is a UK AI lab building models, applications and infrastructure for mission-critical organisations. We build coding agents, specialised Lumen models, AI-native security products and the infrastructure required to deploy advanced AI in demanding environments. We are also training Lumen Sovereign, the first frontier large language model trained in the UK, with the support of the UK Government. Defence is a strategic priority for Cosine. AI will change how Defence operates, from software engineering and intelligence analysis to cyber security, command and control, logistics and frontline operations. The challenge is turning advanced AI into capability that is trusted, secure, sovereign and useful in the real world. We are looking for a Defence Account Director to help build that business. This is not a traditional defence sales role. You will understand where Cosine can make a genuine operational difference, identify the right customers and programmes, shape credible opportunities and help turn early conversations into funded pilots, programmes and long-term customer relationships. You will work closely with Cosine's Defence Lead, technical teams and senior leadership. You will build relationships across the MOD, the Armed Forces, wider Government and the UK defence industry, while helping define Cosine's position in the emerging sovereign AI market. ___________________________________________________________________________ What you'll do Build and own a prioritised Defence account and opportunity strategy. Develop trusted relationships with senior stakeholders across the MOD, Front Line Commands, wider Government and defence industry. Identify operational problems, programmes and capability gaps where Cosine can make a material difference. Translate customer needs into clearly defined use cases, propositions, pilots and programmes. Navigate Defence stakeholders, budgets, acquisition routes, procurement processes and decision-making structures. Lead opportunities from initial conversation through demonstration, technical evaluation, commercial agreement and delivery. Work with Cosine's technical teams to create credible customer propositions without overpromising. Develop relationships with primes, strategic partners and specialist technology companies where this creates a stronger route to market. Maintain disciplined account planning, pipeline management, qualification and forecasting. Bring structured customer and market insight back to Product, Engineering, ML and senior leadership. ___________________________________________________________________________ What we're looking for You may have served in the UK Armed Forces or worked closely with Defence in engineering, capability development, acquisition, procurement, digital transformation or technology adoption. You may subsequently have worked in consulting, technology, industry or an advisory role. What matters is that you understand how Defence works and can turn a customer need into commercial momentum. You should have: Meaningful experience of the UK Defence ecosystem. Strong existing relationships across Defence, Government or industry, and the ability to build new ones. Experience introducing, acquiring or adopting complex technology. The ability to structure ambiguous problems and turn them into actionable opportunities. Strong commercial judgement and comfort being accountable for pipeline, opportunities and revenue. The confidence to engage with operators, engineers, procurement teams, senior civil servants, military leaders and industry executives. Genuine technical curiosity and the ability to learn enough about AI to have credible conversations with technical teams and customers. The resilience to work through long Defence sales cycles while maintaining urgency and focus. The independence and judgement to operate in a scale-up where the playbook is still being written. You do not need to be an AI expert when you join. You do need to be intellectually curious, technically literate and able to communicate clearly without hiding behind jargon. ___________________________________________________________________________ What success looks like Success ultimately means winning business and building enduring customer relationships. We aim to onboard at least 10 new client logos within the Defence account over the next 12 months and increase revenues by at least 300%. We expect that growth to come through credibility, judgement, customer insight and persistence rather than transactional selling. In your first few months, you will: Build a clear view of Cosine's Defence proposition, capabilities and priorities. Establish a focused account and stakeholder map. Develop relationships with priority customers and partners. Identify and qualify the most promising opportunities. Create a disciplined approach to account planning, pipeline and forecasting. Over time, you will help convert those opportunities into funded demonstrations, pilots and programmes, while shaping how Cosine is understood and adopted across UK Defence. ___________________________________________________________________________ Why this role matters Defence does not need more AI demonstrations that remain disconnected from operations. It needs technology that can work across real missions, real systems, real security constraints and real acquisition processes. You will help make that happen. This is an opportunity to build Cosine's Defence business from the ground up, with direct access to leadership and technical teams and genuine influence over our product, market strategy and customer relationships. If you understand Defence from the inside, have strong customer instincts and want to help make sovereign AI operational, this is an opportunity to have significant impact. ___________________________________________________________________________ Why join Cosine Build a strategically important business from the ground up. Work at the intersection of frontier AI, Defence and national capability. Sell a genuinely differentiated product into mission-critical environments. Influence product direction and go-to-market strategy. Work closely with a small, technically deep and ambitious team. Receive meaningful early equity with genuine upside. ___________________________________________________________________________ Compensation, Benefits & Ways of Working We're an in-office team, five days a week, by design. We believe the work we're doing benefits from being together, collaborating closely, and building shared context. What you can expect: Competitive salary , benchmarked to the market Equity / share options , so you share in the upside you help create 30 days' holiday + bank holidays Work hard in the office, collaborate closely, and switch off properly Dog-friendly office — bring your dog to work Weekly team breakfast & lunch Monthly socials Pension High-quality equipment to do your best work We care about focus, sustainability, and doing great work — not performative overwork. We value people who show up, contribute thoughtfully, collaborate well with their colleagues, and then go home. This role won't suit everyone. But if you're looking for a fast-moving environment, close collaboration, and a team that takes both the work and work-life balance seriously, it's a great place to be. ___________________________________________________________________________ Agency & Data Protection Notice To comply with UK GDPR and our internal data-protection and equal-opportunity obligations, we only accept candidate applications and agency submissions via our Applicant Tracking System (ATS). This ensures appropriate privacy notices, lawful processing, auditability, and consistent retention controls. Any CVs or candidate details received outside the ATS (including via email, Slack, or direct message) will be treated as unsolicited, will not be considered as part of the recruitment process, and will not give rise to any fee or payment obligation. Find more English Speaking Jobs in United Kingdom on Arbeitnow

The Opportunity Lumai's optical engine only works if the electronics around it hold up. Our boards carry large FPGAs and custom ASICs, multi-gigabit links and fine-pitch packages, and they have to be laid out to tolerances that leave no room for guesswork. This role takes the designs coming out of our hardware and SI/PI teams and turns them into manufacturable, high-layer-count boards. The Role You will own board layout from schematic handoff to fabrication release. That covers stackups and HDI structures, controlled-impedance routing, differential pairs, length and phase matching, BGA breakout for large fine-pitch devices, and the full manufacturing package: Gerber/ODB++, drill files, assembly drawings and fabrication notes. You will also own the footprint and symbol libraries, the design rules and the CAD standards the rest of the team works to. What is genuinely hard about it is that the constraints are real and they conflict. Signal integrity, power integrity, thermal and mechanical requirements all land on the same square centimetres, and the fabricator's process limits decide what is actually buildable. You will be the person who turns simulation output into layout rules and who can defend a stackup to a fabricator. By month six, you will have taken at least one board through to fabrication release, set the libraries and design rules the team works from, and be the first point of contact for our fabricators and assembly houses. What You'll Do Lay out dense, high-layer-count PCBs from schematic through to fabrication release, using constraint-driven flows. Implement controlled-impedance routing, differential pair and length/phase matching, and HDI structures including microvias, via-in-pad and back-drilling. Plan BGA breakout and component placement for large FPGAs, custom ASICs and fine-pitch packages, balancing SI, PI, thermal and mechanical requirements. Translate SI/PI and hardware constraints into layout rules, and iterate quickly with engineers on simulation feedback. Run DFM, DFA and DFT reviews, and act as the main technical contact with PCB fabricators and assembly houses. Generate complete manufacturing outputs (Gerber/ODB++, drill files, assembly drawings, fabrication notes) and manage design revisions. Own and maintain the footprint and symbol libraries, CAD standards and design templates, compliant with IPC standards. What We're Looking For Must-have Extensive professional experience laying out complex, high-speed, high-layer-count boards, with a portfolio of designs that went into production. Expert proficiency in Cadence Allegro, including Constraint Manager. Equivalent Altium experience will also be considered. Hands-on experience with HDI technologies: microvias, via-in-pad, stacked and staggered vias, and back-drilling. Proven BGA breakout and placement for large, fine-pitch devices such as FPGAs and ASICs. Thorough working knowledge of IPC standards (IPC-2221, IPC-7351, IPC-6012) and of DFM/DFA/DFT principles. Strong preference for Boards carrying 56G+ SerDes, PCIe Gen5/6 or DDR5 interfaces. Working closely with SI/PI simulation engineers. Rigid-flex, RF or mixed-signal layouts. ECAD/MCAD collaboration on thermal and mechanical integration. Experience setting up CAD standards, libraries and design templates in a growing team. About Lumai Lumai is the optical compute company building the next generation of AI infrastructure. Spun out of optics research at the University of Oxford in 2021, we compute with light instead of electrons. Our 3D optical technology carries out the matrix multiplications at the heart of AI inside beams of light travelling through free space, which lets it go beyond the limits of both silicon GPUs and integrated photonics. In April 2026 we launched Iris Nova, the world's first optical computing system to run billion-parameter large language models in real time, using up to 90% less energy than conventional GPU-based systems. Iris Nova, the first server in the family, is now available for evaluation by hyperscalers, neoclouds, enterprises and research institutions. Aura and Tetra will follow. Our work won the Falling Walls Award for Science Breakthrough of the Year 2025 and 'Best Overall Technology' at the OCP Future Technologies Symposium. We are headquartered in Oxford. Why Lumai You'll work on a new kind of computer. Optical computing for AI has been promised for decades. We have a working system running real models, and the hard part left is taking it to volume. Your work ships. We are moving from first product to volume production, so what you build this year goes into the servers our customers run. You'll work across disciplines. Optical engineers, machine learning researchers, and hardware and software engineers solve problems together. You will learn things that don't appear on your job description. The work matters beyond Lumai. AI's appetite for energy is one of the defining constraints of the next decade. Our mission is sustainable intelligence at global scale: AI that is faster, cheaper to run and far less power-hungry. You'll join early. You'll have a real say in how we build the product, the team and the way we work. Equal Opportunity Lumai is an equal opportunity employer. We make hiring decisions based on skills, experience and potential, and we welcome applications from people of all backgrounds. If you need an adjustment at any stage of the hiring process, let us know and we will do our best to support you. Find more English Speaking Jobs in United Kingdom on Arbeitnow

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Client Engineering is the technical arm of Plaid's European GTM team. We own our customers' technical outcomes: designing the right solution, getting it built and live, and keeping it healthy as they grow. We work with the most technically forward companies in European financial services – fintechs, lenders, and payments and wealth platforms – helping them build on payment initiation, account data, verification, and underwriting across UK Open Banking and PSD2. As a Sales Engineer for Plaid Europe, you'll be a technical lead across the region's sales team, partnering with 5–6 Account Executives from the first technical conversation through proof of concept to signature. You'll run technical discovery, design solutions, and demo and prove Plaid's products to engineers and commercial buyers, making sure every customer's architectural decisions set them up for long-term success on the platform. You'll also help build the Sales Engineering function in Europe, from the demo environments, sample apps, discovery frameworks, and integration playbooks the team sells with, to feeding what you hear from customers back into Plaid's roadmap. Responsibilities Serve as technical lead on active opportunities across Startup, Mid-Market, and Enterprise accounts, partnering with Account Executives throughout the sales cycle. Run technical discovery and map customer requirements to Plaid's products and integration patterns. Deliver tailored demonstrations and own proof-of-concept engagements, including hands-on debugging with customer engineers. Design integration architectures and validate the approach in sandbox with the customer's engineers before signature. Respond to technical, security, and regulatory questionnaires and RFPs. Build and maintain reusable selling assets for European use cases and competitive positioning. Translate customer and prospect feedback into structured product insight for Product and Engineering. Raise the technical fluency of the sales team through enablement and deal reviews. Qualifications 4+ years in a customer-facing technical role, such as sales engineering, solutions, implementation, or customer engineering, ideally at an API platform. Hands-on understanding of APIs and web and mobile integration, including REST, OAuth, webhooks, JSON, and SDKs, with the ability to build and debug a demo in JavaScript, Python, or similar. Experience working in, or selling to, fintech or financial services in the UK or EU. Ability to move between deep technical conversations and business value conversations with different audiences. A consultative approach, strong customer empathy, and clear communication skills. A self-starter who's comfortable building in a growing region with a globally distributed team. Willingness and ability to travel across the UK and Europe up to 25% of the time. Nice-to-Haves Knowledge of open banking, including UK Open Banking, PSD2/PSD3, AIS/PIS, and VRP. Domain depth in payments, identity verification, or credit and underwriting. A formal technical background or prior software engineering experience. Fluency in a second European language. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at ----- style="min-height:1.5em"> Please review our Candidate Privacy Notice here . Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Compensation: £104,419 – £123,919 • Offers Equity • Offers Commission United Kingdom • £104,419 – £123,919 • Offers Equity • Offers Commission Find Jobs in United Kingdom on Arbeitnow

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Client Engineering is the technical arm of Plaid's European GTM team. We own our customers' technical outcomes: designing the right solution, getting it built and live, and keeping it healthy as they grow. We work with the most technically forward companies in European financial services – fintechs, lenders, and payments and wealth platforms – helping them build on payment initiation, account data, verification, and underwriting across UK Open Banking and PSD2. As an Implementation Engineer for Plaid Europe, you'll own customer integrations from the moment a contract is signed to the moment they're live in production and growing. You'll write the integration plan, run the kickoff, debug alongside the customer's engineers, validate their sandbox implementation, and see them through go-live, keeping their Account Manager up to date with notes that make the relationship easy to continue. You'll do the same for existing customers adding a new product, use case, or market. You'll also build the resources that make the next integration faster – the checklists, the common pitfalls, and the answers to the questions every customer asks – because this team is small and its leverage comes from what gets written down. Responsibilities Own a portfolio of customer integrations from signature to production launch, including plans, milestones, and exit criteria. Run scheduled implementation support for standard integrations, as well as one-off debugging engagements for customers who need a targeted fix. Lead technical onboarding for existing customers adopting a new Plaid product, use case, or market. Debug integration issues hands-on with customer engineers across API, SDK, OAuth redirect, and webhook behaviour. Validate sandbox implementations and run go-live readiness checks. Use Plaid's own data to proactively diagnose integration and conversion problems. Produce written handovers to Account Management and maintain the team's reusable implementation resources. Escalate recurring integration failures to Product and Engineering as clear patterns, backed by evidence. Qualifications 4+ years in a customer-facing technical role, such as implementation, integration, solutions, or technical account management, ideally at an API platform. Hands-on experience with REST APIs, OAuth, webhooks, JSON, and web and mobile SDKs. Comfort working in Postman or curl and reading API documentation critically. Experience with SQL or other data querying tools. A track record of owning technical projects end to end, with real deadlines and direct relationships with customer engineers. Clear written communication skills, including plans, handovers, and customer updates. Comfort working independently in a small regional team alongside a globally distributed function. Nice-to-Haves Knowledge of open banking, including UK Open Banking, PSD2/PSD3, AIS/PIS, and VRP. Domain depth in payments, identity verification, or credit and underwriting. A formal technical background or prior software engineering experience. Experience with mobile integrations. Fluency in a second European language. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at ----- style="min-height:1.5em"> Please review our Candidate Privacy Notice here . Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Compensation: £69,193 – £81,774 • Offers Equity United Kingdom • £69,193 – £81,774 • Offers Equity Find Jobs in United Kingdom on Arbeitnow

About Zelara Most CRM marketing still blasts generic messages at scale and calls it "personalization." Our founders experienced this firsthand in senior roles at HelloFresh, Salesforce, Uber, and others. Backed by top-tier VCs, they decided to build a better way. Zelara is an agentic lifecycle marketing platform that improves with every interaction. It works with the CRM infrastructure our customers already use, replacing static journeys and manual segmentation with a system that creates content, makes individual-level decisions, and learns from every outcome. With bunq, Europe's second-largest neobank, we delivered +7.4% activation and +66% reactivation uplift, measured against a control group. We raised a €3M pre-seed and are generating revenue with paying enterprise customers. We are growing our Solutions Architecture team to make the path from integration to measurable value repeatable across more customers. The Role This is a deeply technical customer role centered on post-sales value realization, with involvement in pre-sales discovery. It is not reactive customer success, nor a pre-sales role that hands off at signature. You own technical value realization for a portfolio of customers, from discovery and onboarding through live experiments, measured results, and scaled adoption. You and the commercial lead run each account as a pair. They own pricing, contracts, expansion, and renewal. You own the technical plan and the evidence behind those decisions: before signature you lead technical discovery alongside them, after signature you are the customer's named technical lead for solution design, data mapping, the experiment plan, and go-live. There is no separate customer success manager; the two of you hold the whole relationship. Product, Engineering, and Science own the platform, the integrations, and the measurement standards. You turn their work into a working customer solution and bring them in when a requirement crosses those lines. Our customers are mid-market and enterprise B2C companies across Europe: fintech, e-commerce, travel, and employee benefits. What You Will Do Lead technical discovery before signature: how the customer makes money, which metric moves it, and what the pilot can credibly promise Own onboarding: align stakeholders, define the data mapping and acceptance criteria, and take the customer live on its existing CRM stack Design and pre-register each experiment to Zelara's scientific standards, because a success bar set after seeing the data is not a result Own the customer-facing readout: reconcile our analysis with the customer's data, and say clearly when the evidence is not decision-ready Enable the customer's team to run campaigns independently Partner with the commercial lead on annual contracts, expansion, and renewal Drive the product loop: turn recurring customer needs into product opportunities and research questions, backed by evidence from live accounts, and use agents to build the scripts and prototypes that unblock an account in the meantime Your First 90 Days 30 Days: Learn the platform and the portfolio, join the active accounts, and take over your first technical customer relationship. 60 Days: Lead one onboarding independently, with the integration, experiment design, and measurement plan agreed before launch. 90 Days: Own a small portfolio and deliver your first evidence-backed results readout. Who You Are You have led deployments, implementations, or technical accounts for mid-market or enterprise customers at a B2B SaaS company, and your work has influenced adoption, renewal, or expansion. You judge a customer's business before you design for it: which metric their leadership is held to, and what matters that nobody has said out loud. You have led real customer integrations and know that a successful import is not the same as usable data. You turn a business question into an analysis plan and understand experiments: control groups, effect sizes, statistical power, and why the design is frozen before it runs. You know the lifecycle marketing stack (Braze, Bird, Iterable, Klaviyo, Customer.io , Emarsys, HubSpot) and how a CRM team works inside it. You are credible with a Head of CRM and their data engineer in the same hour. You say the uncomfortable thing early, and a commitment with a date on it is a commitment. You are AI-native. A software engineering background is not required, but building with agents is: the script that reshapes a customer's export, the prototype that shows a CRM team what we mean. You are fluent in English. German is a strong advantage given our current market focus. Bonus You have run lifecycle or CRM programs in-house, so you know what we ask a customer's team to change. You have experience with experimentation platforms, bandits, or applied ML in production. You have converted pilots or POCs into multi-year contracts and can say what moved the decision. How We Work We are an AI-first team. We adopt what makes us faster and drop what does not, and we value evidence, speed, and clear ownership over process theater. What We Offer Work alongside founders who have built and sold an AI-driven SaaS business and led large-scale B2C operations from the customer's side of the table. A senior individual-contributor role in a small Solutions Architecture team, with real influence on how we deliver. Autonomy over onboarding, pilots, and technical value realization, and a tight working relationship with Product, Science, and Engineering. Direct access to real customers and real production data. Based in Berlin, with regular travel to European customers. A competitive salary and a meaningful equity stake. Your choice of a Deutschlandticket or bike subscription, plus a gym membership. Our Compass We are guided by four core values: Seek Truth: We ground decisions in evidence. When the facts change, we change our mind. Act with Integrity: We build trust through transparency, reliability, and ownership. Put Customers First: We succeed only when they succeed. Find more English Speaking Jobs in Germany on Arbeitnow

About the role Banks and fintechs use Taktile to automate critical decisions, like credit, fraud, and compliance, in real time. We're building the infrastructure that makes financial institutions truly AI-native, and we've partnered with the Hasso Plattner Institute (HPI), a leading computer science institute in Europe, to offer a dedicated opportunity designed only for HPI students. Starting in April 2027, you'll join one of our engineering teams for 6 months in Berlin and ship real features, with experienced engineers mentoring you along the way. Several HPI alumni already work here, from early-career engineers to senior engineers leading major parts of our product. This program is tailored for Computer Science students eager to gain hands-on industry experience while building the foundations for a world-class engineering career. If you have strong engineering fundamentals and want to grow fast in a team where what you build reaches customers soon after you ship it, we'd love to hear from you. What You'll Do Depending on your final team, either work on backend components written in Python / FastAPI, hosted on an AWS serverless architecture, or work on React/Typescript front-end components, or a combination of both! Engage actively in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions. Grow as an individual and accelerate your career by learning from our experienced team, contributing to a foundational layer of the product, and joining cross-team learning groups. Requirements: Taktile is a hybrid company that requires working 3 days/week from our Berlin HQ in Germany. Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication. Strong engineering fundamentals with a passion for simplicity and precision. Availability for a 6-month full-time internship. Required Experience Fantastic Computer Science fundamentals. Data structures, algorithms, networking, distributed systems, databases, and everything in between! Ideal, But Not Required Exposure to AWS, especially Lambda. Experience with frontend development - React or similar frameworks. Our Offer Work with colleagues who lift you up, challenge you, celebrate you, and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a MacBook Pro as well as cutting-edge hardware. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. We seek to actively recognize and combat racism, sexism, ableism, and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Taktile Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com . Through this exclusive partnership with Taktile, HPI students have the unique opportunity to gain industry experience in a high-growth startup environment while continuing their education among some of Europe's brightest technical minds. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy Taktile ("we" or "us") is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants) We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates' data becomes part of their employment records. Your rights Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile's Applicant Privacy Policy . To exercise your rights or ask questions, contact Find more English Speaking Jobs in Germany on Arbeitnow