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Own the technical front line for enterprise deals across EMEA. Lead technical demos, discovery, competitive evaluations, proofs of value, and production proofs of concept. Translate customer environments into actionable product feedback and partner with ML and infrastructure engineers on deployments. Build the regional pre-sales playbook, advise senior technical stakeholders, and serve as the technical voice of the customer. The role requires strong data-stack and production AI knowledge, enterprise buying experience, and regular travel across the UK and Europe.

The Cloud Infrastructure Engineer will design and build cloud infrastructure for zaimler's platform, focusing on scalability, security, and optimizations for ML/AI workloads.

The role involves developing scalable ML algorithms, optimizing LLM inference performance, managing model serving pipelines, and collaborating with data engineers for efficient knowledge graph generation.

This role involves bridging research and applied engineering, overseeing training infrastructure, optimizing workflows, and setting technical strategies for AI/ML deployment at zaimler.

Own the product end to end, define the core product surfaces, drive adoption, and collaborate with cross-functional teams and customers to validate solutions and prioritize tasks.

Design and build scalable, fault-tolerant query engines and integrations with modern data lake formats; optimize query execution using vectorized processing, cost-based optimization, and caching; extend or contribute to open-source platforms; collaborate with product, data science, and engineering teams to align solutions with business needs.

Build and own end-to-end product surfaces: React/TypeScript frontends, APIs, and backend services in Python/Go. Ship features, work with customers, design APIs/data models, operate cloud deployments, and iterate on production systems to make AI infrastructure legible and fast.