Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.

Senior Applied Value Engineer – Automotive Manufacturing

Role Description

As a Senior Applied Value Engineer, you will push the envelope in solving business-critical problems for strategic customers within our Automotive Manufacturing Vertical. You will partner with our most important clients to understand their unique objectives—from supply chain transformation and warranty management to large-scale cost-takeout programs. By combining the world’s leading Process Intelligence (PI) platform with technologies from top AI and ML partners (Microsoft, OpenAI, Databricks), you will build innovative solutions that drive measurable impact.

Using our PI platform, we feed operational context to AI, bridging IT and OT systems so it understands our customers’ complex business realities. This enables them to industrialize AI and unlock real ROI at scale. You will prototype these solutions, demonstrate their value to automotive and manufacturing executives, and ensure successful implementation, adoption, and value realization to expand our footprint across the global automotive landscape.

Key Responsibilities

AI Discovery & Solutioning: Understand customers' AI strategies and sector-specific challenges (e.g., predictive maintenance, supply chain resilience, quality management). Find the best problem-solution fit and translate customer requirements into innovative, needle-moving solutions.
Pre- and Post-Sales Execution: Drive the full customer lifecycle. Lead technical discovery and capability demonstrations during pre-sales, and remain deeply involved post-sale to guide implementation and ensure agreed value and adoption thresholds are met.
Hackathons & Prototyping: Leverage cutting-edge AI technologies to rapidly build creative prototypes during customer hackathons. Solve critical pain points specific to supply chain, manufacturing, and warranty/quality with a proactive, "can-do" approach.
Agentic Process Transformation: Shift customers from traditional, rule-based automation to autonomous AI agents empowered by Process Intelligence (e.g., intelligent production scheduling, autonomous procurement), ensuring real ROI on AI deployments.
Proof Projects: Architect and execute business-critical Proof-of-Value projects. Deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails, integrating seamlessly with enterprise data, identity protocols, and stringent manufacturing compliance frameworks.
Domain & Industry Leadership: Serve as the primary technical subject matter expert for the automotive manufacturing sector. Scale deep domain expertise across the organization to deliver high-value solutions for OEMs and Tier-1 suppliers.
Smart Factory & Assembly Automation: Champion Industry 4.0 initiatives. Specialize in assembly line automation, robotics, predictive maintenance, Industrial IoT (IIoT), and discrete manufacturing workflows for high-volume production.
EV & Advanced Vehicle Production: Act as a technical advisor on the transition to Electric Vehicles (EVs) and Software-Defined Vehicles (SDVs). Optimize battery production lines, connected factory ecosystems, and complex OEM/Tier-1 dynamics.
Sustainable Production & Factory Energy: Drive technical strategy for energy-efficient plant operations. Focus on integrating renewable energy into factory power grids and optimizing utility usage across the vehicle production lifecycle.

Requirements

Experience: 4+ years leading end-to-end technical pre-sales and post-sales engagements within manufacturing and production. Proven ability to define AI roadmaps, build compelling ROI/TCO business cases, and guide technical implementations to value realization.
Domain Expertise: Deep understanding of manufacturing business processes. In-depth experience in domains such as Asset Management, Supply Chain, Quality Control, or Capital Projects, with the ability to translate strategic requirements into impactful solutions.
Technical Proficiency: Solid knowledge of Python and common ML libraries (LangChain, pandas, pydantic, sklearn, PyTorch), as well as data engineering tools relevant to handling large-scale industrial data.
Communication Skills: Strong presentation and storytelling skills for both internal and external stakeholders (C-level executives and operational leaders), capable of leading technical whiteboarding sessions, formal readouts, and live demos.
Education: Bachelor’s Degree required; Master's Degree in computer science, engineering, mathematics, or a related field (or equivalent work experience) preferred.

Nice to Have

Agentic Systems: Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, with rigorous evaluations for highly regulated industries.
LLM Ecosystem: Working knowledge of OSS packages like LangChain or LlamaIndex.
Cloud & IoT: Experience deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex) and familiarity with IT/OT convergence and industrial IoT data structures.
Generative AI: Expertise in GenAI techniques (RAG, few-shot learning, multi-agent orchestration, multimodal understanding, fine-tuning) to build high-impact use cases like automated engineering document processing or intelligent diagnostic chatbots.

Sponsorship is not available for this role.

The base salary range below is for the role in the specified location, based on a Full Time Schedule.

Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.

The base salary range below is for the role in New York, based on a Full Time Schedule.

$140,000—$175,000 USD

What Celonis can offer you:

Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.

About Us:

Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.

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Senior Applied Value Engineer – Automotive Manufacturing

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