About this role
Your mission & challengesAt NEURA Robotics, we are building intelligent robots — and we believe our business operations must be just as intelligent.
As Manager Business Artificial Intelligence, you will drive the application of AI across our business and operational processes. You will translate real business challenges into AI-powered solutions, working at the intersection of management, processes, data, and technology.
AI Strategy & Business Value
Identify and prioritize high-impact AI use cases across business functions
Translate business needs into scalable AI-enabled solutions
Define measurable success criteria and ensure tangible business impact
Act as the process owner for AI enabled processes
Shape the AI operating processes across people, processes, tools and governance
AI-Driven Process Automation & Scaling
Design and implement Safe AI-supported workflows (e.g., AI agents, copilots, intelligent orchestration)
Optimize processes before automation to ensure sustainable efficiency gains
Coordinate AI agents, dashboards and cross-system orchestration
Develop reusable architectural and process patterns to scale AI capabilities Ownership, Cross Functional Leadership & Governance
Act as the central point of accountability for enterprise AI standards and responsible deployment
Align AI-powered processes with executive priorities and cross-functional objectives
Establish governance frameworks to ensure secure, compliant, and scalable AI usage
What we can look forward toStrong background in business operations, digital transformation or process optimization
Hands-on experience applying AI or automation in real business environments
Ability to translate complex business problems into structured solutions
Strong communication skills across technical and non-technical stakeholders
Experience with LLMs, AI agents, process mining, or intelligent automation
Ownership mindset — you drive topics from idea to production
Experience with enterprise systems (ERP, CRM, PLM, BI)
Startup, scale-up, or high-growth environment experience
Background in consulting, product management or operations