# Senior Value Engineer

**Company:** [Celonis](https://hotfix.jobs/companies/celonis)
**Location:** Chicago, IL, Illinois
**Role:** Sales Engineering
**Salary:** $115k – $135k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, Prompt Engineering, RAG, llm orchestration, AWS, Azure, GCP, SAP, mes, plm, scada, process mining, agentic automation
**Posted:** 2026-07-30

> Senior Value Engineer partnering with manufacturing clients (CPG, pharma, process) to deliver ROI via Celonis Process Intelligence platform, AI agents, and automation. Combines deep manufacturing domain expertise, technical skills (SQL/Python/Prompt Engineering), and executive presence to lead pre-sales POVs, redesign processes, and articulate value to C-suite.

## Job Description

## 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).

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