Senior Value Engineer - Manufacturing

Key Responsibilities

Manufacturing Solutioning & Value Framing (Pre-Sales)

• Discover and translate the strategic priorities of manufacturing customers into high-impact use cases
• Build highly technical demos, prototypes, and business cases targeted at solving business-critical challenges across:
  • Idea to Offer: Accelerating time to market, reducing material costs, and increasing engineering productivity
  • Supply Chain & Production: Increasing shopfloor and inventory efficiency, rapidly reacting to short-term supply chain disruptions, and accelerating production ramp-up
  • Quality & Warranty: Identifying quality problems before they multiply, freeing up warranty reserves, and accelerating error correction processes

Proof-of-Value (POV) Execution

• Lead end-to-end POVs, technical discovery, and value workshops in partnership with internal Applied VE teams
• Communicate technical architecture, value opportunities, and strategic roadmaps to C-suite and operational leaders

Post-Sales Technical Guidance & Account Management

• Seamlessly transition from pre-sales to post-sales
• Partner closely with internal Services and external Partner teams to drive implementations
• Provide AI, solution, and technical guidance needed to build high-value architectures that meet adoption and ROI thresholds

Scale Value & Drive Expansion

• Define and share best practices for client operating models and governance
• Drive enterprise-wide adoption and value realization
• Lead QBRs and design strategic expansion roadmaps aligned with the client's operational realities

Process Transformation & AI Enablement

• Use process intelligence to feed operational context to AI and LLM tools
• Help clients move from simple rule-based automation to intelligent, agentic systems within their production and supply chain environments

Domain Leadership

• Serve as the internal and external technical subject matter expert for the Manufacturing vertical
• Bridge the gap between IT and OT systems
• Provide product feedback to development teams based on emerging industry use cases

Qualifications & Requirements

Experience

• 4+ years of experience in technical pre-sales, solution engineering, or highly technical customer success roles
• Proven track record of staying deeply involved post-sale to drive project implementations and manage enterprise accounts

Business Process Knowledge

• Native understanding of manufacturing business processes
• In-depth experience in domains such as Supply Chain Operations, Production/Shopfloor Management, Quality Assurance, or Product Lifecycle Management (PLM)
• Ability to map complex operational bottlenecks to technical solutions

Technical Skills

• Solid knowledge of Python and/or SQL
• Strong familiarity with major Business Software/ERP applications prevalent in manufacturing (e.g., SAP, Oracle)
• Experience with cloud platforms (AWS, Azure, GCP)
• Experience with BI tools, RPA, and building data-driven dashboards and automations

Project & Stakeholder Management

• Exceptional capability to manage multiple, complex projects simultaneously across aligned accounts at various stages of the value journey
• Proven ability to present and communicate effectively to VP+ and C-suite stakeholders

Education

• Bachelor's degree required
• Focus in computer science, engineering, mathematics, supply chain management, or a related field is preferred

Nice to Have

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, prompt engineering, and common ML libraries (LangChain, pandas, PyTorch)
• Familiarity with IT/OT convergence and industrial IoT data structures