Technical Account Manager

Join webAI, a leading company in the field of artificial intelligence and edge computing. As a Technical Account Manager, you will serve as a trusted technical advisor and solution strategist for a defined portfolio of strategic and growth industrial accounts across the Manufacturing, Energy, and Supply Chain sectors. You will work closely with various teams to translate the customer's business vision into a long-term technical strategy and AI solution roadmap.

Responsibilities

• This role requires both strategic foresight and technical depth, as you will influence system specifications, architect AI deployments, and guide solution delivery across complex industrial and logistics environments.
• Establish relationships with key technical and operational decision-makers within Industrial End Users, Energy Providers, and Supply Chain Operators.
• Collaborate with Sales Account Managers to define the technical dimensions of account plans, integrating commercial objectives with enterprise AI and advanced automation strategies.
• Lead technical presentations, workshops, and proof-of-concept (PoC) initiatives to validate solution viability, performance, scalability, and integration into existing workflows.

Requirements

• Technical Knowledge: Solid understanding of industrial and supply chain systems (e.g., PLCs, edge computing, network architectures, sensor networks, SCADA, MES, WMS/TMS systems) and proven ability to translate complex operational needs into technical AI solutions
• Travel: Ability to travel up to 30% domestically (with occasional international travel)
• Education: Bachelor’s degree in Engineering, Computer Science, Data Science, Manufacturing Technology, or a related field (or equivalent practical experience)
• Experience: 8+ years in account management, solution engineering, technical account management, or technical sales within manufacturing, energy, supply chain, or industrial enterprise software
• Deep Sector Experience: 10+ years in technical account management or solution architecture within manufacturing, energy, or supply chain management
• AI & Integration Expertise: Hands-on experience with industrial AI/ML deployment, computer vision implementations, edge AI runtime environments, and large-scale AI deployment projects across industrial domains

Preferred

• Advanced Degree & Certifications: Master’s degree in Engineering, Computer Science, Supply Chain Engineering, or Business; relevant industry certifications (e.g., PMP, AI/Cloud certifications) are a plus