Top Tech Jobs & Startup Jobs

Lead end-to-end merchant implementation projects: design and build scalable API-based payment integrations, troubleshoot technical and operational issues, collaborate with Sales/Product/Engineering, and improve delivery quality by identifying patterns and sharing insights.

Design end-to-end product experiences for in-person payments and localized checkout across terminals, mobile SDKs, and web interfaces. Translate complex payment, hardware, regulatory, and regional requirements into intuitive interfaces. Partner with product and engineering leaders, improve usability and design quality, contribute to design systems, mentor through influence, and explore AI and LLM applications in design operations.

Strengthen Adyen’s global internal control framework for financial and reporting processes. Evaluate and test controls, identify deficiencies, support management, coordinate auditor requests including SOC 1 and SOC 2 audits, advise business stakeholders, and contribute to global internal control projects and process improvements.

Partner with operations leadership to define KPIs, perform focused analyses, and turn data into actionable narratives. Translate business needs into data engineering requests, redesign recurring issues into scalable solutions, and manage stakeholders to deliver self-service analytics and strategic insights.

Design, build, deploy and operate scalable ELT pipelines and data architectures. Collaborate with stakeholders to translate requirements, ensure data quality, implement testing/monitoring, optimize performance, and champion data engineering best practices across the organization.

Owns the strategy, roadmap, performance, governance, and continuous improvement of Adyen’s commercial technology portfolio. The role partners with revenue teams to prioritize investments, optimize GTM tools, implement platforms, manage integrations and data flows, and build AI-powered workflows and automation. It requires strong stakeholder management, product prioritization, systems integration knowledge, and experience with revenue, marketing, sales, or business operations technologies.

Produces and maintains B2B content across long-form, short-form, SEO, case studies, and digital channels. Aligns content initiatives with marketing and commercial goals, researches audiences and industry information, conducts interviews, and leads projects from kickoff through delivery. Collaborates with internal, external, and design stakeholders, manages timelines and risks, analyzes content impact, and develops writing templates and guidelines. The role is based in Adyen’s Amsterdam office and requires strong English proficiency.

Build, deploy, and operate high-quality ELT pipelines and data architectures on Adyen’s Big Data Platform. Integrate diverse data sources, ensure data quality and reliability, optimize Spark and query performance, and implement testing, monitoring, validation, governance, and discoverability practices. Collaborate with data scientists, analysts, engineers, product managers, and customers to develop solutions, while mentoring teammates and promoting data engineering standards.

Supports merchants and commercial teams with finance-related issues including reporting, reconciliation, payouts, and payment settlements. Advises merchant finance teams on Adyen products, analyzes pain points, and collaborates with Finance, Product, Development, and Account Management teams to improve financial products and processes. The role requires strong financial analysis, communication, prioritization, and advanced Excel skills in an international, office-first environment.

Build and operate production machine learning pipelines for Adyen’s anti-money laundering systems. Modernize rules-based detection into an AI/ML engine, develop models using large-scale transaction data, address class imbalance and incomplete labels, and collaborate with data engineering, analytics, operations, and compliance teams. Lead projects from ideation through deployment while promoting strong software engineering, data engineering, and MLOps practices.