Senior Applied Value Engineer – Automotive Manufacturing
celonisBrooklyn, NY
Senior Applied Value Engineer – Automotive Manufacturing
celonisBrooklyn, NYLead L6
Sales EngineersSales Representatives of Services, Except Advertising, Insurance, Financial Services, and TravelComputer Systems Analysts
Computer Systems Design ServicesCustom Computer Programming ServicesOther Scientific and Technical Consulting Services
Overview:
As a Senior Applied Value Engineer, you will lead AI-driven, value-focused engagements for strategic automotive manufacturing customers. You’ll translate complex customer needs into innovative Process Intelligence solutions, bridging IT and OT to realize measurable ROI. You’ll guide pre- and post-sales activities, prototype with AI tech, and drive adoption to scale our footprint across OEMs and Tier-1 suppliers. This role sits at the intersection of manufacturing domain expertise and cutting-edge AI, offering a chance to shape Industry 4.0 transformations. You work with cross-functional teams to deliver high-impact, sustainable outcomes. Compensation / Benefits RSUs and merit-based refresh grants paid parental leave Unlimited PTO and flexible hybrid work learning and development programs Wellbeing initiatives and mental health support Impact Days for volunteering
Responsibilities:
AI discovery & solutioning to map customer challenges to AI-enabled value Lead full lifecycle from pre-sales technical discovery to post-sale implementation and value realization Hackathons & prototyping to rapidly build AI prototypes addressing supply chain, manufacturing, and quality Agentic process transformation to autonomous AI agents and ROI-driven deployments Design and execute Proof-of-Value projects with secure, scalable LLM/agent systems Serve as primary technical SME for the automotive manufacturing sector across OEMs and Tier-1 Champion Industry 4.0 initiatives in smart factory, IIoT, and assembly automation Advise on EV/SDV transitions and optimization of battery production lines and connected factories Drive sustainable production strategies including renewable energy integration and energy optimization
Key requirements:
4+ years leading end-to-end technical pre-sales and post-sales engagements in manufacturing Deep understanding of manufacturing processes; experience in Asset Management, Supply Chain, Quality Control, or Capital Projects Proficiency in Python and ML libraries (LangChain, pandas, pydantic, sklearn, PyTorch) and data engineering for large-scale industrial data Strong communication and storytelling skills for C-level and operational stakeholders Bachelor’s Degree; Master’s degree preferred in CS, Engineering, Mathematics, or related field Strong presentation and storytelling capabilities Cross-functional collaboration Proactive, can-do mindset Python LangChain pandas
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Level
Lead L6
Location
Brooklyn, NY
Occupation
Sales Engineers
Industry
Computer Systems Design Services
Posted
today