Jobs at Rematiq GmbH

Lead enterprise AI customer engagements from use-case discovery through demonstrations, pilots, implementation, adoption, and expansion. Translate complex customer challenges into practical solutions, manage stakeholders and risks, define success criteria, troubleshoot issues, and drive measurable outcomes. Collaborate with founders, engineers, domain experts, Product, and Sales while helping build scalable deployment playbooks and processes. The role is hands-on, customer-facing, and requires strong problem-solving, technical curiosity, ownership, and fluency in English and German.

Build and own REMATIQ’s GTM engineering function by creating AI agents, automations, prospecting systems, CRM workflows, RFP tools, ROI modeling tools, and internal knowledge-base solutions. Partner with Sales, Marketing, leadership, and Product to identify high-impact opportunities, improve HubSpot data quality, scale compliant outreach, and determine when to build versus buy. This founding role requires hands-on technical execution, strong product judgment, and high ownership.

Build and deploy end-to-end software solutions for customers, including backend services, integrations, AI workflows, and interfaces. Scope ambiguous problems with customer teams, operate solutions in production, provide technical support, and convert custom implementations into product capabilities. The role involves production TypeScript and Node.js development, React contributions, PostgreSQL, enterprise integrations, LLM-powered features, and frequent collaboration with product and platform teams. It is hybrid in Berlin and includes customer-site travel when needed.

Own the full enterprise sales cycle for REMATIQ’s AI compliance and documentation platform, from prospecting through negotiation and close. Sell to VP and C-suite buyers at large Life Sciences organizations, conduct product demonstrations, build ROI cases, manage complex multi-stakeholder deals, and consistently achieve quota. The role also contributes to improving the go-to-market playbook, product, and sales processes in a high-growth startup environment.

Own and build agentic AI systems for a new product area, including architecture, infrastructure, workflows, guardrails, review loops, and operational tooling. Develop reliable backend systems that handle complex inputs and changing requirements. Partner with product leaders, founders, domain experts, and engineers to translate regulatory needs into dependable products. Drive technical direction, system quality, scalability, iteration, and business impact in a highly regulated healthcare and life sciences environment.

Own end-to-end product execution for an AI-native B2B enterprise MedTech software platform. Lead and develop 2–3 Product Managers while remaining hands-on in customer discovery, requirements definition, prioritization, engineering refinement, and product delivery across multiple squads. Partner with customers, Engineering, and Design; make product decisions amid ambiguity; improve product operating processes; and help shape AI-first product development.