Celonis
Senior Value Engineer - Public Sector
$156K–$183K
Redwood City, US, California · Senior · Full-time · Posted Jul 29, 2026
- Experience
- 5+ years; no alternatives stated.
- Education
- Bachelor’s Degree required; Master's Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.
- Visa sponsorship
- Visa sponsorship is not offered for this role.
About the job
Leads technical customer engagements for state and local governments, designing and demonstrating Celonis-based AI solutions and guiding their implementation and value realization.
What you'll do
- Discover agency challenges, translate requirements into AI use cases, and lead pre-sales demonstrations and government procurement engagements.
- Prototype and deliver Proof-of-Value projects, including secure LLM/agent systems integrated with government data and compliance frameworks.
- Guide post-sale implementation, adoption, and value realization; serve as a technical subject matter expert for state and local government.
What they ask for
- 5+ years leading technical pre-sales and post-sales engagements specifically in State & Local Government public sector.
- Deep understanding of state and local government processes and ability to translate policy or agency needs into AI use cases.
- Expertise in generative AI techniques such as RAG, prompt engineering, or multi-agent orchestration.
- Knowledge of Python and common ML libraries, data engineering tools, and strong presentation skills.
Nice to have
- Master's degree in a related field, or equivalent work experience.
- Hands-on agentic systems experience; government-compliant cloud deployment and monitoring; or LLM ecosystem tools such as LangChain or LlamaIndex.
Pay
$156,000 — $183,000 USD (base salary)
Tools
Celonis Process Intelligence Platform, Python, LangChain, pandas, pydantic, sklearn, PyTorch, AWS GovCloud
AI focus
Build and prototype AI solutions for government operations, including secure LLM/agent systems using RAG, tools, and guardrails; support agentic process transformation and AI deployment at scale.
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