Manager of Field Engineering Job Livingston area,Scotland UK,Engineering

The Physical AI Field Engineering team at Core Weave brings AI into the engineering organizations that design, test, validate, and operate physical products
We work alongside customer teams to identify high-value problems, build solutions against their data and real-world constraints, and deploy software that engineers use in their daily workflows
As Manager, Field Engineering (Physical AI), you will build and lead the operating model for this specialist practice in your region
You will combine people leadership, technical judgment, customer delivery, and commercial understanding to make Physical AI Field Engineering a repeatable, high-performing part of Core Weave’s Field Engineering organization
Evolve the operating model for Physical AI Field Engineering within your region, from opportunity qualification and problem framing through data exploration, model development, deployment, adoption, and expansion
Lead, coach, and develop a high-performing team of Specialist Field Engineers, Forward Deployed Data Scientists, and Forward Deployed Engineers, including hiring, workforce planning, career development, performance management, and succession planning
Set the technical and delivery bar for customer engagements, ensuring that teams build solutions that are grounded in engineering criteria, validated against physical constraints, and deployed into workflows where they create measurable value
Partner directly with strategic customers and senior stakeholders across automotive, robotics, aerospace, and industrial engineering to understand their priorities, shape technical strategy, and maintain executive confidence throughout delivery
Work closely with Account Executives, Account Managers, Account Solutions Architects, Technical Solutions Managers, Product, Engineering, and Platform teams to qualify opportunities, allocate specialist capacity, and create a consistent customer experience
Build mechanisms that make the team more effective at scale, including reusable engagement patterns, delivery standards, onboarding, enablement, technical reviews, and knowledge-sharing practices
Establish a disciplined field-to-product feedback loop: identify recurring customer needs, distinguish reusable product opportunities from one-off delivery work, and translate field evidence into actionable recommendations for Product and Engineering
Own the operating metrics that show whether the model is working, including customer value, time to deployment, software adoption, delivery quality, team capacity, expansion, and infrastructure or SaaS opportunities created through engagements
Represent Physical AI Field Engineering internally and externally, helping Core Weave explain how domain expertise, applied AI, and the Core Weave platform combine to solve difficult engineering problems

Sufficient technical depth in AI/ML applied to physical systems or engineering workflows to engage credibly with ML engineers, data scientists, controls engineers, simulation specialists, and engineering leaders, and to make sound judgments about data, modeling, validation, and deployment trade-offs
Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, Mathematics, or a related technical discipline, or equivalent practical experience
10+ years of experience in technical consulting, field engineering, product engineering, applied AI, or a related customer-facing engineering discipline
Excellent written and verbal communication skills with the ability to clearly articulate complex technical topics to technical, executive, and customer audiences
5+ years of experience leading and developing technical teams in a fast-moving environment, with a track record of hiring strong people, setting a clear bar, and creating an…