Technical Account Manager
About Us:
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.
About the Role:
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.
Responsibilities:
Executive Technical Relationship Development
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.
Strategic Solution Architecture & Roadmapping
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.
Industry Expertise & Horizon View
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.
Technical Orchestration & Guidance
Technical Leadership: Act as the lead technical orchestrator for specialized internal resources (AI solution architects, data engineers, product teams, delivery partners) to ensure solution designs align with the technical roadmap.
Feasibility & Retrofits: Provide feasibility assessments for AI model deployment, edge hardware integration, retrofit strategies, and industrial facility enhancements.
Cross-Functional Bridge: Bridge the gap between Sales, Presales, Product Development, Delivery, and delivery partners during strategic engagements.
Technical Deep Dive & Validation
Demos & Proofs of Concept: Lead technical presentations, workshops, and proof-of-concept (PoC) initiatives to validate solution viability, performance, scalability, and integration into existing workflows.
Value Communication: Translate complex AI and data-driven concepts into clear, outcome-oriented proposals tailored for engineering, IT, and C-suite stakeholders.
Strategic Enablement & Business Influence
Embed webAI Technology: Drive influenced business by specifying webAI's platform and models into manufacturing, energy management infrastructure, and supply chain automation pipelines.
Early Program Engagement: Identify opportunities for early engagement in large-scale expansion programs, energy modernization initiatives, greenfield and brownfield facilities, or global supply chain optimizations.
Long-Term Value Creation: Enable sustained customer value through scalable AI integration, lifecycle support, and continuous optimization.
Qualifications:
Experience: 8+ years in account management, solution engineering, technical account management, or technical sales within manufacturing, energy, supply chain, or industrial enterprise software.
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.
Education: Bachelor’s degree in Engineering, Computer Science, Data Science, Manufacturing Technology, or a related field (or equivalent practical experience).
Travel: Ability to travel up to 30% domestically (with occasional international travel).
Preferred Skills:
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.
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.
We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
Truth - Emphasizing transparency and honesty in every interaction and decision.
Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.
Benefits:
Competitive salary
Comprehensive health, dental, and vision benefits package
401(k) match (U.S.-based employees only)
$200/month Health & Wellness stipend
Continuing Education support
$500/year Function Health subscription (U.S.-based employees only)
Free parking for in-office employees
Flexible Time Off (FTO)
Parental leave for eligible employees
Supplemental life insurance
webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.
