Applied Value Engineer

Celonis • New York, NY

1d • $140,000 - $160,000 • Hybrid

About The Position

As a Senior Applied Value Engineer, you will be at the forefront of solving business-critical problems for strategic customers within the Production Vertical, specifically in Automotive, Manufacturing, and Energy. You will collaborate with key clients to understand their unique strategic objectives, such as Supply Chain Transformation, Warranty and Quality Management, and large-scale cost reduction programs. Your role involves building solutions using Celonis' Process Intelligence (PI) platform, integrated with leading AI and ML technologies from partners like Microsoft, OpenAI, and Databricks. The Celonis PI platform provides operational context to AI, enabling customers to industrialize AI and achieve significant ROI. You will prototype solutions, demonstrate their value to executives, and ensure successful implementation and adoption to expand Celonis' presence in the energy sector.

Requirements

• 4+ years of experience leading end-to-end technical pre-sales and post-sales engagements specifically within manufacturing and production.
• Experience defining AI roadmaps, building compelling ROI/TCO business cases, and guiding technical implementations through to value realization.
• Deep understanding of business processes native and industry knowledge in Energy and / or Manufacturing with in-depth experience in domains such as Asset Management, Field Services, Supply Chain, Capital Projects, or Trading.
• Ability to translate high-level business needs and strategic requirements into specific, impactful solutions.
• Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch).
• Knowledge of data engineering tools and technologies relevant to handling large-scale industrial data.
• Strong presentation skills to both internal and external stakeholders (including C-level executives and operational leaders), whether leading technical whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required.

Nice To Haves

• Master's Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.
• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails suited for highly regulated industries.
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex).
• Familiarity with IT/OT convergence and industrial IoT data structures.
• Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., automated processing of engineering documents, regulatory filings, or intelligent diagnostic chatbots).

Responsibilities

• Understand customers' AI strategy and sector-specific challenges (e.g., predictive maintenance, outage management, supply chain resilience, Quality Management).
• As a Celonis domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions.
• Lead technical discovery and capability demonstrations during the pre-sales cycle.
• Guide implementation post-sale to ensure agreed value and adoption thresholds are met.
• Leverage cutting-edge AI technologies to rapidly build creative prototypes in customer hackathons, solving critical pain points specific to Supply Chain, Manufacturing, Grid Operations and Warranty and Quality.
• Support customers in achieving real ROI from AI deployments at scale, enabling a shift from traditional automation to autonomous AI agents empowered by the Celonis Process Intelligence Platform.
• End-to-end execution of business-critical Proof-of-Value projects, including architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while integrating with enterprise data, identity protocols, and energy compliance frameworks.
• Serve as the internal and external technical subject matter expert for the Energy vertical, scaling knowledge across the organization regarding utilities, upstream/downstream oil & gas, and renewable energy processes.

Benefits

• Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off).
• Restricted Stock Units (RSUs) and merit-based refresh grants.
• 24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
• Unlimited PTO (in applicable regions) and generous PTO globally.
• Flexible hybrid work model.
• 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
• Subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks".
• Paid time off to volunteer for community and environmental causes.
• Participation in annual Inclusion Days.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior