Celonis

Celonis

Senior Applied Value Engineer – Automotive Manufacturing

New York, US, New York · Senior · Full-time

No sponsorship$140k-$175kDetected 1 day ago
PythonDatabricksAWSGCPAzureCloud PlatformsMachine LearningPyTorchscikit-learnPandasData EngineeringLLMsRAGAgentic AIAI OrchestrationSupply ChainProcurementRoboticsLeadershipCommunicationMentoringRenewable Energy

About the role

  • 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.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • Scale deep domain expertise across the organization to deliver high-value solutions for OEMs and Tier-1 suppliers.
  • Drive technical strategy for energy-efficient plant operations.

Requirements

  • 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.
  • 4+ years leading end-to-end technical pre-sales and post-sales engagements within manufacturing and production.
  • 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.
  • Working knowledge of OSS packages like LangChain or LlamaIndex.
  • 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.

Nice to have

  • 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.
  • Sponsorship is not available for this role.
  • Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.

Skills

  • Nice to Have
  • LLM Ecosystem: Working knowledge of OSS packages like LangChain or LlamaIndex.
  • Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off).
  • $140,000 - $175,000 USD
  • What Celonis can offer you:
  • Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
  • Value-Driven Impact: Join a mission-led organization where our core values-L
  • Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology.
  • Senior Applied Value Engineer - Automotive Manufacturing
  • Role Description

Compensation

  • The base salary range below is for the role in New York, based on a Full Time Schedule.
  • $140,000 - $175,000 USD

Benefits

  • 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.
  • Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
  • Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
  • 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.

Company info

  • 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.
  • 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.
  • AI Discovery & Solutioning: Understand customers' AI strategies and sector-specific challenges (e.g., predictive maintenance, supply chain resilience, quality management).
  • 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.

Visa & Work Authorization

  • Sponsorship is not available for this role.
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This listing is sourced directly from Celonis's careers page and normalized into a canonical job model.