- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 1 day ago
- Work mode
- In office
- Eligibility
- Direct applicants only; recruiting agencies are not accepted for this position.
- Resume
- Required to apply
Where you'll work
Job description
Company Overview
Mindpeak is an AI company based in Hamburg that uses advanced deep learning for computational pathology, with the goal of making cancer treatment more effective and tailored to each patient.
The business operates where artificial intelligence meets medicine and drug development, creating regulatory-ready products that help pharmaceutical, biotech, and clinical teams identify, validate, and apply meaningful biomarkers in practice.
Its systems work with H&E, IHC, and multiplex tissue data to support drug development, patient stratification, and clinical trials. A notable aspect of the company’s work is that its AI is already used in routine diagnostics across more than 25 countries, so the technology has real-world clinical impact every day.
The company values dependable, clinically usable AI and offers the chance to tackle complex problems with colleagues from different disciplines while contributing to better patient care.
The Role
In this position, you will guide and grow the engineering organization, helping teams work with more clarity, accountability, and effectiveness.
Your main responsibility is to keep Engineering operating reliably in the present while also creating the structure needed for future expansion. You will support predictable delivery, improve quality and ownership, and ensure engineering choices stay aligned with customer and business priorities.
You will collaborate closely with Product, Machine Learning, Clinical, and QA/Regulatory teams.
Key Responsibilities
- Lead, coach, and develop engineers while strengthening the overall team.
- Foster a work culture built on accountability, trust, and ongoing improvement.
- Support hiring efforts and help bring in and keep strong talent.
- Define clear ownership, responsibilities, and working practices.
- Improve planning, prioritization, and day-to-day execution.
- Help teams concentrate on the most valuable work.
- Increase transparency and consistency in delivery.
- Identify risks and blockers early so they can be addressed promptly.
- Create conditions where teams deliver dependable, high-quality results.
- Offer coaching, feedback, and career guidance to team members.
- Support individual growth and the development of future leaders.
- Lift the overall capability of the engineering organization.
- Improve collaboration between Engineering and Product, Clinical, Regulatory, and Commercial teams.
- Reduce friction and communication gaps across the organization.
- Keep engineering closely tied to customer needs and business goals.
What Success Looks Like After 12 Months
- Engineering teams have clear ownership and act with strong accountability.
- Delivery is more predictable and easier to understand.
- The organization has scaled successfully through effective hiring and onboarding.
- Team engagement and retention stay strong.
- Cross-functional collaboration improves significantly.
- Engineers spend less time handling urgent issues and more time delivering customer value.
- Engineering decisions are closely linked to customer and business outcomes.
- Teams demonstrate a stronger sense of ownership across functions.
What You Bring
- Background in leading and developing software engineering teams.
- Strong ability to coach, mentor, and manage people.
- Proven success in building high-performing teams.
- Experience improving delivery, execution, and organizational effectiveness.
- Excellent communication and stakeholder management skills.
- Software engineering experience with enough technical depth to work credibly with senior engineers.
- A practical, hands-on mindset and a strong sense of ownership.
- Willingness to take responsibility beyond the formal boundaries of Engineering.
Ideal Candidate
The ideal person is an engineering leader who enjoys building teams, developing people, and bringing clarity to complex situations.
You should care about helping others succeed and about creating an environment where talented engineers can do their best work.
Why Mindpeak
- Chance to build AI systems that support both clinical cancer diagnostics and data-driven drug development.
- An open and creative workplace with flat hierarchies and fast decision-making.
- Access to a strong leadership team that supports continuous development through workshops, peer exchange, and coaching.
- A variety of engaging projects that deepen both technical and domain knowledge.
- A centrally located office in Hamburg with a scenic view over the harbor.
Application Details
Please include your CV, job references, salary expectations, and your earliest possible start date.
Only direct applicants will be considered; applications through recruiting agencies are not accepted for this role.