Senior Value Engineer – Manufacturing

Celonis Celonis · Data AI · United States +1 · Remote · Value Engineering

This role focuses on leveraging AI and Process Intelligence to solve business-critical operational problems in manufacturing. The Senior Value Engineer will work with AI/ML partners, use the Celonis PI platform to bridge IT/OT systems, feed business context to AI, and drive ROI. Responsibilities include pre-sales, architecting solutions with agentic automation, technical steering with SQL, Python, and Prompt Engineering, and end-to-end project ownership. The role requires deep manufacturing domain knowledge and hands-on automation experience.

What you'd actually do

  1. Drive pre-sales and "land" motions. Speak the language of plant managers and supply chain executives to prove Celonis can solve mission-critical manufacturing challenges.
  2. Move beyond passive analytics. Proactively architect and prototype solutions using workflow orchestration, system write-backs, and AI agents to redesign operational processes.
  3. Apply hands-on SQL, Python, and Prompt Engineering skills to steer Apollo toward optimal data models and solution designs, reviewing and validating code for technical rigor.
  4. Lead complex Proof-of-Value (POV) projects. Facilitate technical discovery workshops, manage multi-stakeholder delivery, and align cross-functional client teams.
  5. Deliver compelling presentations to C-suite and VP-level stakeholders, translating technical AI/PI architectures into clear financial and operational ROI.

Skills

Required

  • SQL
  • Python
  • Prompt Engineering
  • Manufacturing domain knowledge
  • Technical pre-sales
  • Value engineering
  • Solution consulting
  • Automation
  • Orchestration
  • Agentic frameworks

Nice to have

  • Retrieval-Augmented Generation (RAG)
  • LLM orchestration
  • Safety evaluation/guardrails
  • Integrating enterprise cloud platforms (AWS, Azure, GCP)
  • Integrating IT/OT environments (SAP, MES, PLM, SCADA)

What the JD emphasized

  • Hands-on automation background
  • Track record of project ownership
  • Proven technical proficiency

Other signals

  • Leverage Celonis Process Intelligence platform and Apollo to bridge IT/OT systems
  • Feed business context to AI
  • Drive measurable ROI at scale
  • Redesign processes via agentic automation
  • Steer data architectures
  • Lead end-to-end client engagements
  • Hands-on technical validation (SQL, Python, Prompt Engineering)
  • Architect and prototype solutions using workflow orchestration, system write-backs, and AI agents