Technical Account Manager

webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models.

We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.

The Technical Account Manager (TAM) is a key member of webAI’s Industrial Business Development team, serving 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.

Partnering closely with Strategic, Regional, and Sales Account Managers, the TAM translates the customer’s business vision into a long-term technical strategy and AI solution roadmap, demonstrating how advanced Artificial Intelligence and edge computing solutions enable future success in large-scale manufacturing, energy systems, and supply chain operations.

This role requires both strategic foresight to align with executive-level business goals and the technical depth to influence system specifications, architect AI deployments, and guide solution delivery across complex, high-throughput industrial and logistics environments.

• Build and Grow Partnerships: Establish relationships with key technical and operational decision-makers (e.g., CTOs, VPs of Engineering/IT, Chief Architects, Operations Leads) within Industrial End Users, Energy Providers, and Supply Chain Operators.

• Executive Alignment: Represent webAI's technical vision in executive discussions, ensuring alignment between overarching business outcomes and technical AI feasibility.

• Account Strategy Integration: Collaborate with Sales Account Managers to define the technical dimensions of account plans, integrating commercial objectives with enterprise AI and advanced automation strategies across manufacturing, energy, and logistics operations.

• Tailored AI Roadmaps: Develop multi-year technical roadmaps tailored to core industrial processes, including discrete/process manufacturing, energy grid/asset management, automated warehousing, quality inspection, predictive maintenance, and supply chain optimization.

• Blueprint Adaptation: Adapt webAI solution blueprints to meet customer‑specific operational requirements and industry compliance standards.

• Forward-Looking Vision: Provide a forward-looking perspective on how AI, computer vision, edge deployment, and connected production and supply systems can evolve with the customer’s operations.

• Market Intelligence: Maintain deep expertise in manufacturing, energy, and supply chain trends, operational innovations, competitive AI offerings, and relevant industrial standards.

• Ecosystem Engagement: Understand the broader technical ecosystem of manufacturing operations, energy infrastructure, and supply chain networks.