Top Tech Jobs & Startup Jobs in Munich

Integrate production C++, embedded middleware, and AI inference components into autonomous-driving software stacks. Develop adapters and glue code, debug software across embedded hardware and middleware, validate inference performance, and execute embedded, recompute, regression, and HIL testing. Own complex integration issues through root-cause analysis and resolution while collaborating with ML, hardware, simulation, and vehicle engineering teams.

Drive technical sales of Microsoft and GitHub cloud and AI development technologies for manufacturing customers in Germany. Lead workshops, demos, architecture discussions, pilots, and proofs of concept involving GitHub, Copilot, Azure, CI/CD, DevOps, platform engineering, security, and observability. Partner with account teams, engineers, and customers to qualify opportunities, overcome technical barriers, and support adoption across factory, edge, SAP-adjacent, and industrial-data scenarios.

Lead customer engagements for cloud and AI transformation, guiding customers through infrastructure modernization, data platforms, and AI solutions. Manage pipeline and forecasts, develop territory strategies, collaborate with account executives, architects, engineers, and partners, and use demos, business cases, ROI, TCO, and pricing tools to accelerate decisions. Scope proofs of concept and support customers from initial commitment through cloud consumption and deployment.

Leads customer AI transformation initiatives by designing and implementing Microsoft Copilot, agentic AI, and cloud solutions. Acts as a trusted technical advisor, drives adoption and business value, develops Copilot prompts and agents, supports customer success and renewals, identifies expansion opportunities, and contributes reusable intellectual property and customer insights.

Design and deliver internal systems, Go services, APIs, data models, dashboards, visualizations, and LLM-powered workflow features. The role includes writing specifications, estimating work, code reviews, testing, documentation, security, performance, accessibility, and collaboration with nontechnical stakeholders. The engineer will handle sensitive people data, mentor colleagues, and improve team practices in a globally distributed environment.

Develops and expands broker relationships across Germany’s cyber insurance market. Responsibilities include generating sales opportunities, managing pipelines and quotas, supporting post-sale broker relationships, forecasting performance, improving broker satisfaction, and advising partners on Coalition’s insurance and cybersecurity solutions. The role requires established German broker relationships, strong sales experience, fluency in German and English, and willingness to travel within Germany and the DACH region. It is fully remote within Germany.

Handle complex cyber insurance claims in Germany, including incident intake, coverage and liability assessment, reserves, litigation, settlements, subrogation, and third-party provider oversight. Coordinate with legal counsel, forensic investigators, brokers, insureds, and partner carriers. Maintain claims documentation, provide insights to underwriters, support business development, lead client preparedness activities, and advise global teams on German and EEA claims practices.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

Build and operate Azure platforms using Terraform, hub-and-spoke networking, AKS, containers, and GitOps. Maintain CI/CD pipelines, observability, security baselines, private connectivity, ingress, and infrastructure automation. Support PHP and React application delivery, Docker workflows, shared-environment troubleshooting, architecture reviews, operational risk management, runbooks, and design records. The role requires production Azure experience, Kubernetes operations, networking expertise, and proficiency with Linux, scripting, and CI/CD tools.

Build and own pricing data science capabilities, including demand and elasticity models, forecasting, willingness-to-pay models, pricing optimization, experimentation, and causal analysis. Deploy and monitor machine learning systems, establish governed pricing metrics, and partner with Commercial, Finance, and Product to improve margin and revenue. Set analytical standards for pricing decisions and build reusable analytical capabilities.

Own and optimize Airalo’s ATS and recruiting technology stack, including integrations, automations, workflows, vendor management, data privacy, dashboards, and hiring reports. Translate recruiting data into recommendations for leaders and support headcount planning. Lead documentation, training, enablement, and change management while improving candidate experience and mentoring junior team members. Collaborate with Talent Acquisition, People, Finance, Legal, and IT across multiple regions.

Deploys and supports Azure Virtual Desktop environments for Nerdio partners across EMEA. Responsibilities include assisting initial implementations, troubleshooting support issues, conducting technical demonstrations, collaborating with sales and technical teams, improving tools and processes, documenting knowledge, and contributing to product enhancements and go-live metrics. The role requires strong Microsoft cloud, virtualization, networking, infrastructure, troubleshooting, communication, and project-planning skills.

Own the anti-fraud product roadmap across signup, payments, account protection, compute-abuse prevention, risk scoring, manual review, customer verification, and appeals. Partner with Trust & Safety, Engineering, Data Science, Analytics, and Legal to define detection rules, models, incident responses, experiments, and compliance processes. Monitor fraud losses, chargebacks, false positives, review throughput, and detection speed while minimizing customer friction.

Serve as the technical partner interface to design, build, and maintain integrations and reference implementations between Nebius and strategic partners. Architect enterprise-ready solutions for GPU-accelerated AI/ML workflows, enable partner teams with docs and demos, influence product roadmap, and provide technical leadership for complex joint deployments and troubleshooting.

Build and scale AI-driven automation solutions using LLMs and agent frameworks. Design multi-step workflows, integrate AI with internal systems (HR, finance, legal, ticketing), automate document processing and data extraction, and train internal teams. Collaborate with technical leads, product, and IT to deliver practical, production-ready automation and iterate quickly.

Manage and optimize mobile programmatic advertising campaigns toward CPA, ROAS, and retention goals. Responsibilities include bid, budget, publisher, audience, creative, geographic, and pacing optimization; A/B testing; SQL-based campaign analysis; dashboard and reporting support; LLM-assisted diagnostics; and mobile attribution analysis. The role collaborates with customer success, product support, and supply teams while supporting client reporting and QBR preparation.