Top Tech Jobs & Startup Jobs in Munich

Shape and drive the technology roadmap for ABB Robotics’ commercial processes, including pricing, quotation, agreements, order management, service, and spare parts. Evaluate technology opportunities, conduct build-versus-buy assessments, guide proofs of concept, and recommend scalable solutions. Collaborate with business process owners, IT, architecture, data, cybersecurity, vendors, and implementation partners to deliver governed solutions that improve productivity, decision quality, customer experience, and business value.

Conduct high-volume, multi-channel outbound prospecting toward enterprise accounts in the DACH region. Qualify prospects, deliver concise ROI-focused pitches, overcome objections, book high-quality meetings for Enterprise Account Executives, and maintain accurate Salesforce records. Collaborate with AEs on account mapping, handoffs, and pipeline development. The role offers mentorship and a potential transition to a full-cycle Account Executive position within 12–24 months.

Acquire new customers in the Technology and Consumer Goods segments across South Germany, Austria, and Switzerland. Manage the full sales cycle, including prospecting, pipeline development, solution presentation, negotiations, and contract closure. Position Maersk’s integrated logistics solutions, collaborate with internal teams, maintain CRM data quality, and achieve sales targets. Regular travel across the NEC region is required.

Lead outbound prospecting into enterprise logistics accounts, research targets, run multichannel outreach, qualify operational pain, book high-quality meetings for founders, maintain CRM hygiene, test messaging, and feed market insights back to product and commercial teams. On-site in Munich.

Acts as regional general counsel for Vertex’s CEEM operations, advising business leaders on regulatory, marketing, market access, pricing, reimbursement, supply chain, patient advocacy, safety, and government affairs matters. Drafts and negotiates access-program and commercial contracts, supports expansion into new therapy areas, manages legal staff, and provides strategic counsel across multiple countries. Requires substantial biopharmaceutical, law firm, or government legal experience, qualification to practice in a relevant country, and fluency in English and German.

Own the end-to-end technical tender lifecycle, including bid strategy, requirements analysis, solution development, proposal writing, stakeholder coordination, submission, clarifications, and post-award handover. Translate cloud, Kubernetes, security, and digital sovereignty concepts into persuasive, compliant responses while identifying product gaps and improving reusable bid materials.

Manage and continuously improve Apex.AI’s cloud and on-premises IT environment in Germany. Responsibilities include administering Linux and macOS endpoints, MDM, IAM, SSO, MFA, networks, VPNs, servers, cloud services, endpoint security, and business applications. Provide user support, onboarding, offboarding, hardware lifecycle management, documentation, automation, monitoring, and troubleshooting. Support ISO 27001 and TISAX controls, audits, vulnerability management, backups, incident readiness, and security improvements while collaborating with Engineering, DevOps, vendors, and international teams.

Own the end-to-end architecture and implementation of SAP integrations for Finto’s AI platform. Design repeatable data flows across SAP variants using OData, IDocs, BAPI/RFC, BTP/CPI, and file-based methods. Build connector tooling, translate SAP FI/MM processes into specifications, write production TypeScript and Node.js code, and advise customers and prospects. Establish scalable SAP rollout standards while collaborating closely with engineering, customer IT teams, the CTO, and founding team.

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.

Develop and optimize machine learning models for understanding and generating 3D CAD parts. Build CAD data pipelines, implement geometric deep learning workflows, deploy models to production, improve performance, and collaborate with product and engineering teams. The role requires Python, PyTorch or TensorFlow, 3D data representation expertise, ML engineering practices, and experience productionizing models. CAD software, computational geometry, and MLOps experience are preferred.