1163 English-speaking jobs in Berlin

Staff Software Engineer to shape engineering strategy and architecture for Agentic AI. Deliver business value by writing code, leading design, and ensuring global scalability using TypeScript, Node.js, and Python.

Principal Software Engineer to own the technical direction of real-time voice infrastructure. This hands-on leadership role sets architectural direction for low-latency, high-availability voice at enterprise scale.

Senior Developer Relations Manager to engage software companies on NVIDIA's AI and computing platforms. This role requires deep technical expertise in agentic AI and GPU-accelerated computing to drive product integration.

Lead technical and product-centric engineering in consulting projects, customizing Google Cloud solutions for mid-market clients. Manage global teams, drive modern engineering adoption, and execute complex, cloud-native solutions.

Lead Principal Infrastructure Architect owning end-to-end design of optimized compute infrastructure for large-scale AI/ML systems. Expertise includes GPU cluster tuning, cloud platform knowledge, and setting technical standards.

Product Designer owns the end-to-end experience of a B2B SaaS AI operating layer. Responsibilities include journey mapping, designing core surfaces (desktop/mobile/admin), building the design system from scratch, and managing in-app communication. Requires 7+ years in product design.

Senior Staff Software Engineer to design and maintain robust backend systems for Databricks workspaces. This role involves building high-QPS, low-latency platforms, providing technical leadership, and solving large-scale distributed systems challenges.

Senior Software Engineer, GraphQL - API Platform. Own and evolve the GraphQL API layer for critical customer-facing surfaces. Requires 5+ years backend experience, 3+ in GraphQL, and fluency in Java, Go, or Node.js.

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Senior Data Engineer to build trusted data foundations for customer growth. Own end-to-end data solutions using SQL, Python, and dbt. Partner with Marketing and Analytics to drive growth decision-making.

Lead the vision and execution for the AI Platform team, building centralized infrastructure to enable scalable, trustworthy ML/AI features across the company. Manage hiring, roadmap, and technical strategy.

Senior Data Scientist to build and operate horizontal data products for GetYourGuide. Develop innovative data products, own projects from challenge to production code, and leverage ML/AI on large datasets. Requires 5+ years deploying ML models in production.

Staff Data Scientist to define and own data products driving revenue impact across growth channels. Requires expertise in Python, SQL, Databricks, and marketing analytics. Focus on ML pipelines, A/B testing, and CLV modeling.

Staff Decision Scientist for Paid Search develops quantitative analysis and statistical models to steer marketing decisions. Requires 8+ years of data interpretation experience, strong SQL/Python skills, and experience with causal inference methods.

Design and automate core Finance processes, including Quote-to-Cash, Procure-to-Pay, and Record-to-Report, while leading ERP rollout and IT transformation. Requires 6+ years in Finance Systems with technical fluency in SQL/Python and AI application.

Architect, design, and implement Workday Extend use cases for HCM & Financials. Lead teams in developing Workday Extend applications and solve complex integration problems. Requires hands-on Workday Extend experience.

Architect end-to-end Workfront solutions and build Fusion automation connecting to platforms like AEM, Marketo, and Salesforce. Requires hands-on Workfront configuration and process orientation.

Principal AI Infrastructure Architect sets technical vision for large-scale AI/ML compute infrastructure. Own complex architecture decisions across compute, networking, and storage, driving cost-optimized, production-ready systems.

Design marketing data architectures across CDPs, cloud platforms, and activation layers. Define data modeling and identity strategies for personalization and attribution. Lead data architecture in MarTech transformation programs.

Design and optimize AI/ML infrastructure, including GPU clusters and distributed training environments. Architect, deploy, and monitor AI systems across cloud and on-premises platforms. Requires coding proficiency and strong understanding of AI/ML and computing infrastructure.