Drimva

Celonis

Senior Applied Value Engineer – Automotive Manufacturing

$162K–$191K

New York, US, New York · Senior · Full-time · Posted Jul 20, 2026

Experience
4+ years.
Education
Bachelor’s Degree required; focus in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.
Visa sponsorship
Sponsorship is not available for this role.

About the job

Leads customer engagements across the sales and post-sale lifecycle, using Celonis to solve operational challenges, deliver measurable business value, and develop AI-enabled solutions.

What you'll do

  • Lead technical discovery, demonstrations, and post-sale implementation guidance to achieve customer adoption and value goals.
  • Drive ROI and adoption programs through value plans, QBRs, executive sponsorship, and strategic roadmaps.
  • Identify customer AI challenges and design solutions that connect business needs to Celonis capabilities.

What they ask for

  • 4+ years of experience in pre-sales, customer success, and/or consulting functions, with a background in a related consulting, process improvement, transformation, or value realization area.
  • Strong technical skills, including relevant Microsoft or equivalent certifications and knowledge of data connections, data objects, data validation, data analysis, LLMs, prompting, and data constructs in prompts.
  • Ability to identify and prioritize use cases, implement improvement measures, establish operating models, and train users to realize customer value.
  • Project management and strong presentation skills; a Bachelor’s Degree is required.

Nice to have

  • Degree focus in computer science, engineering, mathematics, or related fields, or equivalent work experience.
  • Knowledge of business processes and AI use cases; Python, ML libraries, data engineering, and hands-on agentic systems experience.

Pay

$162,000 — $191,000 USD (base salary)

Tools

Microsoft, AWS, Azure, LLM’s, Claude, Copilot, Python, LangChain

AI focus

Discover customer AI strategies and challenges, then design solutions using Celonis Process Intelligence to supply operational context to AI and LLM tools and enable intelligent, autonomous agents.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)