Top Remote Jobs in Germany

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.

Develop and optimize machine learning models for computer vision and NLP applications, including reverse image search, image-text matching, object detection, and online content analysis. Train deep learning models, build scalable image and text data pipelines, monitor production performance, and implement advanced algorithms. Collaborate with data scientists, engineers, and brand protection experts to improve AI product accuracy and performance.

Manage and grow a named account portfolio of upper-middle-market and enterprise software platforms. Own complex, consultative sales cycles from prospecting through close, build C-level relationships, lead technical and financial product discussions, negotiate bespoke commercial agreements, and partner with Product and Engineering teams. Contribute to sales strategy, process development, forecasting, and repeatable engagement models while helping platforms use Stripe Connect to improve their payments capabilities.

Freelance contributors record spontaneous German speech, participate in conversational and AI voice tasks, annotate recordings, and provide metadata. The role requires native-level German fluency, advanced English comprehension, attention to detail, reliable internet, a quiet recording environment, and access to a microphone and online recording platform. Work is remote, flexible, task-based, and expected to take approximately 2–4 hours daily.

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.