Top Tech Jobs & Startup Jobs in Cologne

Own the full enterprise SaaS sales cycle across DACH, from outbound pipeline generation through discovery, demos, Proof of Value, negotiation, and contract signature. Sell Qorelo’s AI platform to senior SAP and transformation decision-makers, manage MEDDICC qualification, navigate technical and security reviews, maintain accurate CRM forecasts, and exceed revenue targets. The role requires executive-level German and English, enterprise sales experience, AI value-selling capability, and travel for customer meetings.

Build and ship backend features for enterprise Coder deployments, including database migrations, observability, reporting, auditing, security, scalability, and reliability improvements. Investigate production issues, resolve operator problems, document designs, participate in code reviews and RFC discussions, and join on-call rotations. The role requires professional Go development, concurrency knowledge, SQL expertise, debugging ability, and strong communication.

Partner with Account Executives to advise prospects and clients on supply chain planning solutions. Lead discovery, workshops, executive presentations, and tailored Pigment demonstrations covering demand, supply, inventory, capacity, scenario modeling, and S&OP/IBP. Translate supply chain challenges into business value, collaborate cross-functionally with Product, Marketing, and Customer Success, and contribute market insights to the product roadmap. Travel up to 25% is required.

Lead Tenon’s enterprise sales growth across Europe and EMEA. Responsibilities include territory planning, pipeline generation, complex SaaS sales cycles, executive relationship building, partner and ServiceNow co-selling, forecasting, negotiation, and closing new business. The role coordinates sales, consulting, product, implementation, and executive teams while helping shape regional go-to-market strategy. It is remote in Europe and requires regular travel across Europe and occasional travel to the United States.

Manage day-to-day delivery for a global portfolio of approximately 30 Lean and Operational Excellence applications. Responsibilities include incident, change, release, lifecycle, compliance, budget, vendor, and service-level management. The role leads internal and contracted resources, scopes enhancement demand, coordinates delivery, supports audits, and works with global business stakeholders to execute the application roadmap in a regulated manufacturing environment.

Manage the full sales cycle for hospitality SaaS, from prospecting and qualifying marketing leads through demonstrations, negotiation, and closing. Identify decision-makers, understand hotel business needs, maintain CRM data integrity, coordinate handoffs to implementation, and provide local market insights. The role requires German fluency, deep knowledge of independent hotel operations, attendance at hospitality events, and occasional local prospecting or travel.

Own end-to-end SmartReports implementations for hospitals and radiology practices across EMEA, from discovery and solution design through go-live and hypercare. Coordinate integration architects, engineers, hospital IT teams, vendors, and internal stakeholders; manage HL7/RIS/PACS technical workstreams, risks, issues, documentation, status communications, and operational handoffs. Maintain project scope, timelines, decision logs, and escalation processes while ensuring successful customer delivery.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Lead the company’s Physical AI research and engineering function as a hands-on technical leader. Define research priorities, design and train Transformer-based models, establish rigorous offline and real-world evaluations, integrate systems with physical robots, and analyze failures across data, models, hardware, and environments. Build a focused team, guide technical architecture and experiments, translate customer needs into requirements, and deliver measurable improvements through deployed models, benchmarks, evaluation systems, or data products.

Build, operate, and scale production Kubernetes infrastructure using GitOps and declarative IaC. Design CI/CD workflows, observability, and secure-by-default systems. Troubleshoot networking/storage, participate in on-call rotations, automate operational workflows, and drive postmortems and reliability improvements.