AI Deployment Strategist – MedTech Regulatory Affairs

About REMATIQ

REMATIQ is changing how MedTech teams develop, document, and launch medical devices by building a highly specialised AI platform for regulated R&D, quality, and regulatory workflows.

We work with leading life sciences and MedTech companies to help them move faster while improving quality, traceability, and compliance. We are looking for an AI Deployment Strategist, MedTech Regulatory Affairs to help our customers transform complex regulatory workflows into practical AI-powered solutions.

We believe in the value of in-person collaboration and work in a hybrid setup, with the team coming together in our office in the heart of Berlin-Mitte typically four days per week.

What you’ll do

As an AI Deployment Strategist, MedTech Regulatory Affairs at REMATIQ, you will work closely with customers, Delivery, Product, and Engineering to drive customer projects, understand how MedTech regulatory teams work today, and help translate these workflows into high-impact AI use cases.

This is not an academic advisory role. You will be hands-on in customer projects, helping structure problems, drive workstreams, create materials, review outputs, and turn domain expertise into practical solutions.

You will:

• Own and drive customer project workstreams from discovery through workflow design, implementation support, testing, iteration, and delivery.

• Work directly with Regulatory Affairs, R&D, Quality, and cross-functional customer teams to understand regulatory submissions, regulatory intelligence and compliance workflows, product development processes, documentation, constraints, pain points, and opportunities for AI-powered improvement.

• Bring deep MedTech Regulatory Affairs expertise across areas such as regulatory strategy and intelligence, submissions, compliance, design assurance, audits, and interactions with adjacent R&D and quality processes — and act as a domain sparring partner for internal teams.

• Create and review project deliverables such as customer workshop materials, workflow maps, gap analyses, impact assessments, target process designs, use-case specifications, and AI-generated outputs together with customer subject-matter experts.

• Collect customer learnings and feedback and translate them into structured internal feedback for Product and Engineering.

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