76 germany English-speaking jobs in Augsburg

Solution Consultant helps customers envision and realize improved planning using Pigment's AI platform. Responsibilities include discovery, tailored demos, and running stakeholder workshops. Requires enterprise planning experience or pre-sales in Enterprise Planning Management.

Develop, monitor, and report construction schedules for data centre retrofit and upgrade projects across Europe. Liaise between planning and delivery teams, manage risk, and contribute to tender-stage programmes. Requires 5+ years of planning experience and proficiency in Primavera P6.

Manager will be responsible for overseeing the tax compliance and risk management of group entities in Germany ... Short Facts Augsburg, Germany KUKA hybrid Finance/AccountingPermanent PositionResponsibilitiesMake

you will lead market assessments and modelling to support strategic decisions for energy clients in Germany ... to inform trading strategiesStructure, price, and submit bids for government tenders and auctions in Germany

Overview In this role, you will deliver high-quality automotive training for participants in Germany,

You work in a hybrid setup, with options to base in Denmark or Germany, supporting patient-centered innovation

The position is based in Augsburg, Germany, and offers extensive collaboration with Ambu's global R&D ... software verification engineers, test automation engineers, and software developers across Denmark, Germany

working hours, 30 days holiday (on top free on Christmas Eve and New Year’s Eve) and subsidized job / Germany

Develop and maintain device communication for bluelog Neo and X-Series. Requires experience with Linux, TypeScript, Node.js, Rust, OOP, and testing. Knowledge of communication protocols is a plus.

Own the end-to-end global Transportation Management process, defining standards and driving continuous improvement within the SAP TM transformation. Requires 5+ years in Logistics/Supply Chain with mandatory SAP TM expertise.

Postdoctoral Researcher needed for CAR-T Cell Therapy and Therapeutic Target Discovery in Pediatric and Rare Tumors. Identify, validate, and engineer targets using multi-omic data and CAR-T cells. PhD required.

Leads channel development and commercialization for the EMOB business unit. Own channel strategy, partner lifecycle, and GTM frameworks for cybersecurity services. Manages commercial reporting and translates market needs into MSS Engine requirements.

Own end-to-end vision data products, including training, MLOps, and inference pipelines on Azure. Work with 3D vision data like LiDAR and meshes to build building intelligence. Requires CS/Data Science background and ML production experience.

Steer the EMEA transformation of underwriting, claims, medical, and biometric capabilities. Develop data-led solutions to improve client value and efficiency by leading innovation and digital transformation across regions.

Lead a global UX organization through AI-driven transformation, shaping experiences for an AI-native product portfolio. Align UX strategy with business priorities, build high-performing teams, and scale design operations. Requires 10+ years in UX/Product Design with leadership experience.

Support spacecraft development by advancing space debris and MMOD analyses. Responsibilities include hypervelocity impact analysis, shielding design support, and developing next-generation MMOD methodologies. Requires a degree in a relevant field and scientific programming skills.

MSAT Scientist drives technical leadership in LC column manufacturing, solving production challenges and boosting product consistency. This role requires applying materials science and engineering knowledge to optimize processes and lead root-cause investigations.

Drive excellence in packaging and delivery systems across the product lifecycle. Lead cross-functional, multi-site efforts, advancing new processes and scalable solutions. Support regulatory submissions and mentor junior colleagues.

Lead an analyst squad while serving as the hands-on Monetization analyst. Shape data-driven decisions, ensure data quality, and drive monetization optimization through tracking and experiments. Requires analyst experience, people leadership, and SQL/Python skills.

Drive AI-enabled process optimization by defining standards for process mining and AI-native workflows. Identify bottlenecks, design future-state architectures, and collaborate with teams to implement measurable improvements.