• Lead the structuring of the quality strategy within your team, considering all aspects of the solution, from requirements definition to code development • Design and execute test scenarios based on business requirements in the form of user stories, as well as manage testing activities and expertise in the tools used • Develop automated tests for APIs and UIs • Work across the entire product development lifecycle, from conception to production rollout and maintenance • Participate in collaborative product design • Take part in Quality Chapters and Communities of Practice, encouraging and promoting the dissemination of a quality culture among colleagues and teams within our operation

• Work on real client products and internal systems • This is an hourly, project-based role focused on a specific project. • Work hours and duration depend on project needs.

• Own and evolve core platform services: document ingestion pipelines, search and retrieval infrastructure, API layer, and data models. • Deliver features from design to production with a high bar for reliability, performance, and maintainability. • Participate meaningfully in architecture reviews and proactively propose improvements to the codebase and system design. • Write clean, well-tested, well-documented code and hold the team to the same standard through rigorous code review. • Build and maintain the AI-powered features at the heart of the platform: RAG pipelines, LLM-based document analysis, entity extraction, regulatory signal detection, and summarisation. • Evaluate and integrate new AI models, embedding techniques, and orchestration frameworks as the landscape evolves. • Debug and improve AI pipeline quality — including retrieval relevance, hallucination detection, and output accuracy in high-stakes regulatory contexts. • Collaborate with the Senior Director / Head of Engineering to prototype and validate new AI-driven capabilities before committing to full build-out. • Act as deputy to the Senior Director / Head of Engineering — step up during their absence and keep engineering momentum moving. • Mentor and technically guide junior or mid-level engineers on the team. • Help define and uphold engineering standards: PR review culture, testing practices, deployment processes, and documentation norms. • Contribute to hiring by participating in technical interviews and calibrating candidate assessments. • Work closely with the regulatory operations team to understand domain workflows and translate them into precise technical requirements. • Engage directly with product and design to refine features, challenge assumptions, and surface technical constraints early. • Occasionally join customer calls or demos to provide technical depth and capture feedback first-hand.

• Defining & Managing Performance: You own the evolution of our performance management frameworks. You set high bars for accountability and design the systems that measure impact, ensuring that performance is addressed early, consistently, and with clarity. • Workforce Evolution & AI Integration: You guide the business through the 'AI shift'. You partner with VPs to constantly redefine roles and workflows, ensuring our people stay ahead of the curve. You manage the journey of keeping every role relevant as automation and AI transform our daily work. • Complex Project Leadership: You lead high-stakes organisational projects with professional depth and a hands-on approach. From structural realignments to the implementation of new professional standards, you drive the 'people' side of change with precision and speed. • Strategic Matrix Sparring: You provide strategic sparring within a cross-location, cross-functional matrix. You drive alignment between our hubs in Hamburg and Warsaw, ensuring consistent standards while respecting local dynamics. You act as a critical friend who is not afraid to challenge the status quo. • Data-Driven Diagnostics: You use people analytics to identify trends and drive organisational health. You use data to challenge stakeholders, optimize performance cycles, and support senior leaders in making high-stakes talent decisions.