Senior Value Engineer

Key Responsibilities

• 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.
• Proactively architect and prototype solutions using workflow orchestration, system write-backs, and AI agents to redesign operational processes.
• 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.
• Lead complex Proof-of-Value (POV) projects. Facilitate technical discovery workshops, manage multi-stakeholder delivery, and align cross-functional client teams.
• Deliver compelling presentations to C-suite and VP-level stakeholders, translating technical AI/PI architectures into clear financial and operational ROI.

Requirements

• 5–7 years of experience in technical pre-sales, value engineering, or solution consulting within the Manufacturing sector (Automotive, Aerospace, CPG, or Industrial Equipment).
• Deep manufacturing domain knowledge across core operational processes (Supply Chain, Production Planning, Procure-to-Pay, Order-to-Cash, or Asset Management).
• Proven technical proficiency in SQL, Python, and Prompt Engineering with the ability to inspect code, validate logic, and guide data model creation.
• Hands-on automation background translating operational requirements into scalable solutions using orchestration, write-backs, or agentic frameworks.
• Track record of project ownership, including structuring workshops, navigating multi-stakeholder dynamics, and delivering executive readouts.
• Strong executive presence, with the ability to articulate complex technical solutions to non-technical business leaders.
• High-growth attitude: Exceptional adaptability, curiosity, and an eager willingness to learn evolving AI technologies and platform capabilities rapidly.
• Bachelor’s degree in Computer Science, Industrial/Operations Engineering, STEM, or equivalent experience.

Nice to Have

• Hands-on experience with Retrieval-Augmented Generation (RAG), LLM orchestration, and safety evaluation/guardrails.
• Experience integrating enterprise cloud platforms (AWS, Azure, GCP) with IT/OT environments (SAP, MES, PLM, SCADA).