# Senior Value Engineer - Technology Consultant

**Company:** [Celonis](https://hotfix.jobs/companies/celonis)
**Location:** Raleigh, NC, North Carolina
**Role:** Solutions Architecture
**Experience:** 5+ years
**Skills:** Celonis, Process Mining, Microsoft Azure, AWS, Data Engineering, Data Analysis, LLMs, Prompt Engineering, Python, LangChain, pandas, scikit-learn, PyTorch, RAG, Function Calling
**Posted:** 2026-08-15

> The Senior Value Engineer partners with enterprise customers across pre- and post-sales engagements to identify operational challenges, design Celonis-based solutions, and drive measurable adoption and ROI. The role requires consulting or customer-facing experience, strong technical and presentation skills, and a bachelor’s degree.

## Job Description

## Responsibilities

- Drive the full customer lifecycle across pre-sales and post-sales engagements.
- Lead technical discovery and capability demonstrations during pre-sales expansion cycles.
- Guide implementation and ensure agreed value and adoption thresholds are met.
- Drive enterprise-wide ROI and adoption programs through QBRs, strategic roadmaps, executive sponsorship, and value plans.
- Establish repeatable frameworks for customers to independently track, realize, and expand business value.
- Serve as a technical subject matter expert for the customer’s industry domain.
- Understand customer AI strategies and challenges, identify problem-solution fit, and translate requirements into measurable solutions.
- Plan and manage project scope, expectations, timelines, and multiple projects across aligned accounts.
- Leverage partners from the company ecosystem where appropriate.
- Lead technical whiteboarding sessions, formal readouts, and demonstrations for internal and external stakeholders.

## Requirements

- 4+ years of experience in pre-sales, customer success, consulting, strategy consulting, business process improvement, digital transformation, or customer value realization.
- Strong technical skills across Microsoft or equivalent technologies such as AWS, including relevant certifications.
- Knowledge of data connections, data objects, data validation, and data analysis.
- Knowledge and use of large language models, including tools such as Claude or Copilot.
- Understanding of basic prompting and data constructs within prompts.
- Experience with value-driven selling, use-case prioritization, improvement measures, operating models, and customer training.
- Strong project management skills.
- Strong presentation skills.
- Bachelor’s degree required, preferably in computer science, engineering, mathematics, or a related field; equivalent work experience may be considered.

## Nice to Have

- Understanding of business processes across sectors such as supply chain or finance.
- Ability to translate high-level business needs into specific AI use cases.
- Knowledge of Python and machine-learning libraries such as LangChain, pandas, scikit-learn, and PyTorch.
- Experience with data engineering tools and technologies.
- Hands-on experience building agentic systems using LLM orchestration, retrieval-augmented generation, function calling, and prompt engineering.
- Experience implementing safety measures through evaluations and guardrails.

## Compensation and Benefits

- Restricted Stock Units and merit-based refresh grants for full-time employees.
- Paid parental leave: 24 weeks for primary carers and 12 weeks for supporting carers.
- Flexible hybrid work model.
- Unlimited PTO in applicable regions and generous PTO globally.
- Learning and mentorship programs.
- Subsidized Wellhub memberships and mental health counseling.
- Paid volunteer time through annual Impact Days.
- Inclusion and belonging programs.

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