As a Senior Value Engineer - Manufacturing at Celonis, you will solve business-critical operational problems for strategic accounts across CPG, pharmaceutical, and process manufacturing. Working alongside top AI/ML partners like OpenAI, Microsoft, and Databricks, you will leverage the Celonis Process Intelligence (PI) platform and Apollo to bridge IT/OT systems (ERP, MES, SCADA), feed business context to AI, and drive measurable ROI at scale.
In this role, you will combine hands-on technical validation (SQL, Python, Prompt Engineering) with high-level strategy-redesigning processes via agentic automation, steering data architectures, and leading end-to-end client engagements from technical workshops to executive readouts.
Key Responsibilities- Pre-Sales & Industry Credibility: 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.
- Process Re-Design & Agentic Automation: Move beyond passive analytics. Proactively architect and prototype solutions using workflow orchestration, system write-backs, and AI agents to redesign operational processes.
- Technical Steering & Data Modeling: 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.
- End-to-End Project Ownership: Lead complex Proof-of-Value (POV) projects. Facilitate technical discovery workshops, manage multi-stakeholder delivery, and align cross-functional client teams.
- Executive Value Articulation: 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.
- Education: 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).
Sponsorship is not offered for this role