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HEAD OF ENGINEERING Company Overview Mindpeak is a Hamburg-based AI company applying state-of-the-art deep learning to computational pathology, with a clear mission: enabling more effective, personalized cancer treatment. We work at the intersection of AI, medicine, and drug development-building regulatory-grade solutions that help pharma, biotech, and clinical partners discover, validate, and translate meaningful biomarkers into real-world impact. Our technology analyzes H&E, IHC, and multiplex tissue data to support drug development, patient stratification, and clinical trials. What makes this work especially rewarding: our AI is already deployed in routine diagnostics in more than 25 countries, meaning the tools we build are used by clinicians and patients every day. At Mindpeak, we believe that reliable, clinically applicable AI can change how cancer is treated. If you want to work on challenging problems, collaborate across disciplines, and see your work make a real difference in patient care, you’ll feel at home here. The Role You will lead and develop our Engineering organization, helping teams operate with greater clarity, accountability, and effectiveness. Your mission is to ensure our software engineering runs reliably today while building the foundation for future growth. You will help the team deliver predictably, raise quality and ownership, and connect software engineering decisions closely to customer and business needs. You will shape the evolution of our AI-assisted software development lifecycle, driving Engineering to embrace and adopt new ways of building software while ensuring high quality, robustness and reliability, and at substantially increased speed. You will work closely with Product, Machine Learning, Clinical and QA/Regulatory teams. What You'll Do BUILD AND STRENGTHEN THE ENGINEERING TEAM - Lead, coach, and develop engineers - Establish a culture of accountability, trust, and continuous improvement - Architect a high-performing team; attract, hire, and retain exceptional talent CREATE STRUCTURE AND CLARITY - Establish clear ownership, responsibilities, and improved ways of working - Improve planning, prioritization, and execution - Help teams focus on the highest-impact work - Apply AI-assistance in all steps of the Software-Development-Lifecycle BUILD A RELIABLE ENGINEERING ORGANIZATION - Increase predictability and transparency of delivery - Ensure issues and risks are surfaced early, communicated clearly and openly to relevant stakeholders - Create an environment where teams consistently deliver high-quality outcomes DEVELOP PEOPLE AND FUTURE LEADERS - Provide coaching, feedback, and career development - Support individual growth and leadership development - Raise the overall capability of the engineering organization, esp. AI-assisted software development STRENGTHEN CROSS-FUNCTIONAL COLLABORATION - Improve alignment between Engineering, Product, Clinical, Regulatory, and Commercial teams - Remove organizational friction and close communication gaps - Share global context to ensure engineering stays closely connected to customer and business needs - Challenge Product building the RIGHT THING, and Engineering building it the RIGHT WAY What Success Looks Like After 12 Months - Engineering teams operate with clear ownership and accountability - Delivery is more predictable and transparent - Productivity has increased using AI-assistance while ensuring high quality and full human code accountability - The organization has successfully grown through strong hires - Team engagement and retention remain high - Collaboration across functions is significantly stronger - Engineers spend less time firefighting and more time creating value for customers (<30% unplannable work) - Engineering decisions are strongly connected to customer and business impact. - The team has developed a stronger ownership mindset across fun