
Sumup · Berlin
Our AI Platform & Edge team sits at the heart of how SumUp is scaling intelligent, merchant-facing experiences across millions of interactions. We build and ope...
Our AI Platform & Edge team sits at the heart of how SumUp is scaling intelligent, merchant-facing experiences across millions of
interactions. We build and operate the AI systems — from LLM-powered assistants to agentic platforms — that directly shape how
merchants get support, resolve issues, and engage with SumUp's products. As Engineering Manager for Edge, you'll take ownership of
a growing, cross-functional team of engineers and ML specialists, leading the execution of some of our most technically complex
and commercially critical AI initiatives. This is a rare opportunity to lead meaningful AI work at scale — not just shipping
features, but shaping how an entire platform evolves.
measurable delivery milestones
all merchant-facing channels
continuously improve team health and throughput
grow and do their best work
products
frameworks such as LangChain or LlamaIndex
CI/CD practices
reliable, measurable delivery
ambiguity and managing stakeholders across technical and non-technical domains
our Berlin office. This involves an office-first setup
environment where everyone's perspectives are respected and embraced
advance your career through further education
Be empowered to do more that matters.
At SumUp, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them
to thrive. Today, over 4 million businesses in 37 markets rely on SumUp as their financial partner to manage payments, finance and
customer relationships.
Our commitment to small businesses is reflected in our diverse team of over 3,000 SumUppers from over 90 nationalities, united by
global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping
our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for
personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone
belongs and feels supported, no matter how they identify.
SumUp is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don't
make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality,
sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by
company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form
is strictly prohibited. Discover more about our culture and opportunities on our careers website, and follow our journey on
LinkedIn, Instagram, and TikTok.
Job Application Tip
We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is
only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.
TEAM DESCRIPTION The Risk AI Engineering Squad is a cross-functional team within the Risk & Compliance tribe, responsible for developing cutting-edge data products and ML solutions that power Transaction Monitoring and protect our merchant base from Money Laundering and Financial Crime. We combine automation, AI, and engineering excellence to build innovative products that empower Risk and AML teams to work smarter, faster, and more efficiently. The Senior Data Scientist role is critical to advancing our transaction monitoring capabilities through machine learning, feature engineering, and scalable model pipelines. You will work across the full model lifecycle — from typology understanding and data exploration to feature development, training, validation, deployment, and monitoring — helping ensure our Risk and AML controls remain effective, auditable, and compliant across products and markets. We actively welcome applications from women and people from underrepresented backgrounds. Diverse perspectives make our team stronger and our systems more robust. If you're motivated by technical depth, real-world impact, and the challenge of making ML work reliably in a high-stakes environment, this role is built for you. Join us to shape the future of financial safety and make a lasting impact! WHAT YOU'LL DO * Build and ship production ML systems end to end: own and evolve end-to-end batch training pipelines, model versioning, monitoring, model deployment, and rollback for transaction monitoring models. * Build, maintain, and improve ML models for transaction monitoring, focusing on detection quality, operational efficiency, and regulatory compliance * Engineer features mapped to AML and Fraud typologies and suspicious behaviours, working closely with Risk investigators to translate domain knowledge into alerting logic and threshold calibration * Run sensitivity tests on synthetic datasets, produce ML governance artefacts such as model cards, and deliver audit-ready documentation to meet regulatory expectations * Own and evolve the AML Risk Score by analysing driver contributions, monitoring drift, running back-testing, and recommending improvements to features, logic, and thresholds * Partner with AML and Fraud Operations, Product, and Engineering to translate stakeholder needs into actionable, scalable data science solutions * Track and improve detection performance metrics, adapt solutions to regional compliance requirements, and contribute to system design documentation YOU'LL BE GREAT FOR THIS ROLE IF YOU HAVE… MUST HAVE * Production Python engineering: you write code that ships — you're comfortable with CI/CD, automated testing, versioning, and monitoring in a real production environment * End-to-end ML pipeline experience: demonstrated experience deploying and operating ML models in production, including drift monitoring and rollback * Modelling and productionalizing models: demonstrated experience training ML models, choosing appropriate KPIs and metrics for evaluation. * Data engineering fundamentals: hands-on experience with complex, multi-source data ecosystems, data quality, and lineage * Clear, confident communication: ability to align cross-functional stakeholders, set expectations, and turn ambiguous compliance requirements into a concrete technical plan NICE TO HAVE * Experience with Pyspark * Experience in AML, fraud detection, or financial crime domains * Unsupervised machine learning (e.g. anomaly detection, clustering) * Familiarity with Feature Stores and alerting threshold calibration * Experience producing regulatory ML governance artefacts (model cards, audit documentation) * Experience with AI systems and tooling WHY YOU SHOULD JOIN SUMUP * 🌎 Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup * 🌈 Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced * 🚀 Enrolment onto our Virtual Stock Option programme: you will own a stake in SumUp's future success * 📚 A dedicated annual L&D budget of €2,000 for your individual development, which can be used to attend conferences and/or advance your career through further education * 💶 A corporate pension scheme where we match up to 20% of your contributions * 🏖️ Generous time off: enjoy 28 days of paid leave plus public holidays and special leave days * 💪 Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, and subsidised office lunches * 🌴 Break4me: 1-month sabbatical after 3 years of service * 🔗 Referral Bonus: earn additional rewards by referring talented individuals to join the SumUp team ABOUT SUMUP Be empowered to do more that matters. At SumUp, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 37 markets rely on SumUp as their financial partner to manage payments, finance and customer relationships. Our commitment to small businesses is reflected in our diverse team of over 3,000 SumUppers from over 90 nationalities, united by global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone belongs and feels supported, no matter how they identify. SumUp is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don't make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form is strictly prohibited. Discover more about our culture and opportunities on our careers website, and follow our journey on LinkedIn, Instagram, and TikTok. Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.
About the team: Within the Global Operations organisation, our mission is to build the best customer experience in the fintech industry by delivering an effortless customer experience to all our merchants. We are seeking a skilled and passionate Senior AI / Machine Learning Engineer to join our talented AI team and lead the development of AI models and algorithms that will drive our customer support service to new heights. As a Senior AI / Machine Learning Engineer at SumUp, you will be responsible for building and optimizing state-of-the-art AI models and algorithms. Your expertise with machine learning, deep learning, and LLMs will be crucial in driving the success of our AI-driven initiatives. You will work closely with cross-functional teams, including backend engineers, data scientists and product managers, to translate business requirements into innovative AI solutions. Your contributions will shape the future of our support products and help us stay at the forefront of technological advancements in the field of AI. What you’ll do * Architect, design, develop and deploy our AI solutions and systems in production environments, ensuring reliability, high performance and scalability. * Collaborate and communicate closely with data scientists, product managers, developers and other business stakeholders to bring state-of-the-art AI solutions to Customer Support, enhancing customer experience and improving operational efficiency. * Develop and maintain ML infrastructure and pipelines to support efficient data processing, model training and serving. * Optimize and fine-tune machine learning models to improve accuracy, efficiency and scalability. * Collect, preprocess and clean large text datasets to ensure high-quality input for model training and evaluation. * Embrace software development principles, best practices and industry standards, including version control, CI/CD processes and unit testing frameworks as your day-to-day work. * Collaborate with cross-functional teams to ensure seamless integration of machine learning solutions into software applications and platforms. You’ll be great for this position if you have: * Bachelor’s degree in Machine Learning, Computer Science or an engineering-related field. * +8 years of proven experience working as a Machine Learning Engineer, focusing on building and deploying scalable machine learning or AI solutions and data-driven systems. * Relevant experience building AI products, such as Chatbot Assistant, RAG system, etc. * Excellent software development engineering skills to design computationally effective solutions and maintenance in large-scale production environments (data version control, model serving, continuous monitoring & alerting) * Experience building and deploying ML models using cloud services (AWS, GCP, or Azure). * Expert in Python and familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Langfuse). * Experience with machine learning workflow orchestration and algorithms optimisation, feature engineering pipelines, data ingestion and transformation. * Good understanding of data pipelines, APIs, containers (Docker), and version control (Git). * Excellent analytical and problem-solving skills, with strong attention to detail. * You have working proficiency and communication skills in verbal and written English. Why you should join SumUp: 🌍 Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup. 🌈 Commitment to Diversity and Inclusion: Be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced 📚 A dedicated annual L&D budget of €2,000 for attending conferences and/or advancing your career through further education. 🚀 Enrolment onto our VSOP program: You will own a stake in SumUp’s future success 💶 A corporate pension scheme where we match up to 20% of your contributions 🔄 30 Days Sabbatical: Enjoy the unique opportunity to take a well-deserved break with our 30 days sabbatical benefit after completing 3 years of employment with SumUp. 🔗 Referral Bonus: Earn additional rewards by referring talented individuals to join the SumUp team. 🚵🏾♂️ Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, relocation assistance, subsidised office lunches. About us: SumUp is a leading financial technology company, founded in 2012 with the goal of empowering small businesses around the globe. We’re the financial partner of choice for more than 4 million merchants in over 35 markets. We collectively build, plan and fine-tune the technology that drives SumUp and empowers small businesses around the world. We believe in the everyday hero. Those who have the courage to follow their passion and who have the strength and determination to realise their dreams. Small business owners are at the heart of all we do, so we're creating powerful, easy-to-use financial solutions to help them run their business. With a founders mentality and a 'team-first attitude' our diverse teams across Europe, South America, and the United States work together to ensure that small business owners can be successful doing what they love. SumUp is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. SumUp does not make hiring or employment decisions on the basis of race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by Company policy. SumUp also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.
Engineering Manager - AI Specialist (all genders) Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: * The work we do and the innovation we drive * Our values of share, care and dare * A workplace culture that fosters creativity, diversity and autonomy * Our borderless, global framework, which enables seamless collaboration THE CONTEXT Valtech is a strategic partner for this client, responsible for the design, delivery, and operation of large-scale digital platforms across eRetail and Retail. After successfully industrializing e-commerce and retail delivery, the next strategic frontier is Artificial Intelligence as a core transformation lever, impacting the entire value chain: engineering productivity, delivery predictability, quality, testing, operations, and production support. AI is no longer treated as a set of isolated experiments. It is a foundational capability that must be embedded into Valtech delivery operations, at scale, with measurable business and operational impact. Beyond AI, Valtech is continuously expected to innovate and improve its delivery and support model, strengthening efficiency, quality, resilience, and time-to-market in a demanding retail environment. This role exists to ensure that AI transformation within Engineering excellence and broader operational innovation are structured, governed, value-driven, and industrialized, while reinforcing operational excellence across all delivery domains. THE ROLE The role is transversal by design: authority comes from expertise, vision, and execution leadership, not from direct hierarchical control. Reporting to Client Partner and Managers at Valtech for our luxury and international client you will: * Lead Valtech’s end-to-end AI transformation and operational excellence for the client account. * Own the definition, orchestration, and execution of AI initiatives, ensuring they move from POC to industrialized, production-grade capabilities delivering tangible value. * In close coordination with the AI Transformation Program Manager, ensure AI-driven transformation is consistently embedded across the four core pillars of delivery: * Agile Operating Model * Engineering * Quality & Testing * Production & Support * Beyond AI, actively drive innovation and continuous improvement of delivery and support operations, leveraging AI, automation, process optimization, and new operating practices. KEY RESPONSIBILITIES AI Transformation Leadership * Define and own the global AI transformation roadmap across eRetail and omnichannel delivery. * Ensure AI initiatives are aligned with the client’s business priorities and Valtech’s delivery and operational objectives. * Drive AI adoption beyond experimentation, with clear industrialization paths, ownership models, and value tracking. * Position AI as a structural enabler of delivery performance, quality, and operational efficiency. Coordination with AI Transformation Program Management * Work in close partnership with the AI Transformation Program Manager, ensuring alignment between strategic roadmap, execution planning, and delivery reality. * Contribute delivery and operational expertise to program-level prioritization, sequencing, and risk management. * Ensure consistency between program governance and on-the-ground execution across teams. * Act as the operational counterpart to the program manager, securing adoption, scalability, and sustainability of AI initiatives. Governance & Stakeholder Management * Act as Valtech’s AI and operational excellence reference toward the client. * Represent AI and delivery innovation initiatives in SteerCos, transformation committees, and executive forums. * Provide clear, structured reporting on progress, value delivered, risks, and dependencies. * Escalate blockers early and propose concrete, execution-ready mitigation plans. Transversal Team & Community Leadership * Animate and federate a transverse community of AI and innovation champions embedded across engineering, QA, support, and product teams. * Lead and coordinate distributed AI Ops, scripting, automation, and tooling resources, notably in India. * Ensure consistency of practices, standards, tooling, and documentation across all domains. * Reinforce a shared ownership model: innovation and AI are collective responsibilities, not isolated initiatives. AI Integration Across the 4 Pillars: Engineering * Promote AI-native architectures, developer productivity tools, and best practices. * Support AI-assisted development, code quality, refactoring, and technical acceleration. Agile Operating Model * Adapt delivery rituals, governance, and planning to support AI-driven and data-intensive initiatives. * Improve predictability and flow while managing experimental constraints. Quality & Testing * Define strategies for AI testing, validation, explainability, and monitoring. * Embed AI and automation into test strategies, regression prevention, and defect analysis. Production & Support * Implement AIOps capabilities for proactive monitoring, incident prediction, and MTTR reduction. * Strengthen production stability, observability, and operational resilience. Operational Excellence, Innovation & Industrialization * Drive continuous improvement initiatives across delivery and support operations, beyond AI-only use cases. * Identify and promote innovations in automation, tooling, processes, and operating models. * Ensure initiatives meet enterprise-grade standards: security, scalability, observability, compliance. * Drive measurable improvements on delivery and support KPIs (cycle time, quality, incidents, automation rate, cost efficiency). * Ensure smooth transition from build to run, with full ownership by support teams. * Avoid “shadow initiatives” by enforcing clear governance, documentation, and ownership. Organization & Role Positioning The Head of AI Transformation & Operational Excellence is a transversal leader. * Coordinate closely with the AI Transformation Program Manager and delivery leaders. * Authority is based on strategic vision, delivery credibility, and execution rigor. * Orchestrate, influence, and federate teams embedded in their respective domains. * Success is measured by adoption, industrialization, operational impact, and value delivered, not by the number of POCs. MUST HAVE HARDSKILLS * Proven track record in leading complex, data-driven or AI-enabled transformation programs. * Demonstrated ability to move initiatives from POC to industrialized, production-grade solutions. * Experience leading distributed delivery teams (onshore/offshore). * Strong understanding of e-commerce, retail, or omnichannel ecosystems. * Ability to operate at both strategic and operational levels. * Fully bilingual French / English is mandatory. MUST HAVE SOFTSKILLS * Strong transformation leader with a clear, forward-looking vision. * Clear, direct, and structured communicator; able to simplify complexity. * Pragmatic, execution-focused, and value-driven. * High autonomy, ownership, and ability to influence without formal authority. * Comfortable operating in complex, high-pressure, multi-stakeholder environments. If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. COMMITMENT TO REACHING ALL KINDS OF PEOPLE We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. THE BENEFITS This is a permanent position based in Paris/France with 3 days at the client’s office. Beyond a competitive compensation package, we offer: * Flexibility, with remote and hybrid work options (country-dependent) * Career advancement, with international mobility and professional development programs * Learning and development, with access to cutting-edge tools, training and industry experts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us. As per the AGG (General Equal Treatment Act) in Germany and equivalent in France, jobs must be advertised in a gender-neutral manner. We use the statement (all genders) to make it clear that this position is open to all genders in these countries, even if the job title itself can be translated or interpreted as "masculine" in the French or German language.