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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in technical account management and solution engineering within the manufacturing, energy, and supply chain sectors, with a strong focus on AI integration and operational optimization. Capable of translating complex operational needs into tailored AI solutions while maintaining strong relationships with key decision-makers.
Highest-signal resume keywords
Technical Account ManagementAI Solution EngineeringIndustrial AI/ML DeploymentManufacturing Systems ExpertiseStakeholder Engagement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI IntegrationComputer VisionEdge ComputingPLC SystemsSCADA SystemsMES SystemsWMS/TMS SystemsData ScienceSolution ArchitectureTechnical Roadmapping
Soft Skills
Relationship BuildingCommunicationCollaborationProblem SolvingPresentation Skills
Tools & Technologies
AI PlatformsEdge AI Runtime EnvironmentsNetwork ArchitecturesSensor NetworksOperational Innovations
Certifications & Qualifications
PMPAI CertificationsCloud Certifications
Industry Keywords
ManufacturingEnergySupply ChainIndustrial SoftwareOperational Compliance
Tech Stack
Tools & technologiesCloudPMP
About the role
Key responsibilities & impact- Serve as a trusted technical advisor and solution strategist for strategic and growth industrial accounts across Manufacturing, Energy, and Supply Chain sectors
- Build relationships with technical and operational decision-makers, including CTOs, VPs of Engineering/IT, Chief Architects, and Operations Leads
- Represent webAI’s technical vision in executive discussions
- Collaborate with Sales Account Managers to define technical account plans and enterprise AI strategies
- Develop multi-year technical roadmaps for manufacturing, energy, warehousing, quality inspection, predictive maintenance, and supply chain optimization
- Adapt webAI solution blueprints to customer-specific operational requirements and compliance standards
- Provide forward-looking guidance on AI, computer vision, edge deployment, and connected production and supply systems
- Maintain expertise in industry trends, operational innovations, competitive AI offerings, and industrial standards
- Orchestrate AI solution architects, data engineers, product teams, and delivery partners
- Provide feasibility assessments for AI deployment, edge hardware integration, retrofit strategies, and industrial facility enhancements
- Bridge Sales, Presales, Product Development, Delivery, and delivery partners
- Lead technical presentations, workshops, and proof-of-concept initiatives
- Translate complex AI and data-driven concepts into outcome-oriented proposals for engineering, IT, and C-suite stakeholders
- Specify webAI’s platform and models into manufacturing, energy management, and supply chain automation pipelines
- Identify early engagement opportunities in expansion programs, energy modernization, greenfield and brownfield facilities, and global supply chain optimizations
- Enable sustained customer value through scalable AI integration, lifecycle support, and continuous optimization
Requirements
What you’ll need- 8+ years in account management, solution engineering, technical account management, or technical sales within manufacturing, energy, supply chain, or industrial enterprise software
- Solid understanding of industrial and supply chain systems, including PLCs, edge computing, network architectures, sensor networks, SCADA, MES, and WMS/TMS systems
- Proven ability to translate complex operational needs into technical AI solutions
- Bachelor’s degree in Engineering, Computer Science, Data Science, Manufacturing Technology, or a related field, or equivalent practical experience
- Ability to travel up to 30% domestically, with occasional international travel
- Preferred: 10+ years in technical account management or solution architecture within manufacturing, energy, or supply chain management
- Preferred: Hands-on experience with industrial AI/ML deployment, computer vision implementations, edge AI runtime environments, and large-scale AI deployment projects
- Preferred: Master’s degree in Engineering, Computer Science, Supply Chain Engineering, or Business
- Relevant industry certifications such as PMP or AI/Cloud certifications are a plus
- Must be legally authorized to work in the United States; employment requires completion of Form I-9
Benefits
Comp & perks- 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
- Competitive salary