Senior Value Engineer - Energy Industry
Job Description
<div><p>Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. 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. Join our mission to make processes work for people, companies, and the planet.</p></div>
<p><strong>Role Description</strong></p>
<ul>
<li>As an Senior Value Engineer specializing in the Energy Sector, you are pushing the envelope in solving business-critical problems for our strategic customers across utilities, oil & gas, and renewable energy. You will be working with our most strategic energy clients, understanding their unique objectives—from grid modernization and asset lifecycle management to navigating the energy transition—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI, and Databricks.<br><br>With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands our customers’ complex business realities (bridging IT and OT systems) and enables them to industrialize AI, unlocking real ROI on deployments at scale. You will prototype these solutions, demonstrate their value to Energy Executives, and ensure successful implementation, adoption, and value realization in order to increase the footprint of Celonis across the global energy landscape.</li>
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<p><strong>Key Responsibilities:</strong></p>
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<p><strong>AI Discovery & Solutioning:</strong> Understand energy customers' AI strategy and sector-specific challenges (e.g., predictive maintenance, outage management, supply chain resilience, or regulatory compliance). As a Celonis product and energy domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle.</p>
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<p><strong>Pre- and Post-Sales Execution:</strong> Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales cycle, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully reached.</p>
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<p><strong>Hackathons & Prototyping:</strong> Think out of the box, have a „can-do“ attitude, and don’t shy away from complex operational problems. Leverage cutting-edge AI technologies to rapidly build creative prototypes in customer hackathons, solving critical pain points specific to power generation, transmission, and O&G operations.</p>
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<p><strong>Agentic Process Transformation:</strong> Support our customers in achieving real ROI out of AI deployments at scale, enabling a fundamental shift from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., intelligent field service routing or autonomous procurement).</p>
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<p><strong>Proof Projects:</strong> End-to-end execution of business-critical Proof-of-Value projects. This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with enterprise data, identity protocols, and stringent energy compliance frameworks.</p>
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<p><strong>Domain & Industry Leadership:</strong> Serve as the internal and external technical subject matter expert for the Energy vertical, scaling knowledge across the organization regarding utilities, upstream/downstream oil & gas, and renewable energy processes.</p>
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<p><strong>Requirements:</strong></p>
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<p><strong>5+ years of experience leading technical pre-sales and post-sales engagements specifically within the Energy sector</strong> (Utilities, Oil & Gas, and/or Renewables). This includes defining AI roadmaps, building compelling ROI/TCO business cases, and guiding technical implementations through to value realization.</p>
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<p><strong>Deep understanding of business processes native to the Energy sector</strong> (such as Asset Management, Field Services, Supply Chain, Capital Projects, or Trading) with the ability to translate high-level business needs into specific, impactful AI use cases.</p>
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<p><strong>Expertise in generative AI techniques</strong> like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., automated processing of engineering documents, regulatory filings, or intelligent diagnostic chatbots).</p>
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<p><strong>Solid knowledge of Python and common ML libraries</strong> (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies relevant to handling large-scale industrial data.</p>
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<p><strong>Strong presentation skills</strong> to both internal and external stakeholders (including C-level executives and operational leaders), whether leading technical whiteboarding sessions or formal readouts and demos.</p>
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<p><strong>Bachelor’s Degree required;</strong> Master's Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.</p>
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<p><strong>Nice to have (big plus):</strong></p>
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<p><strong>Hands-on experience building agentic systems</strong> using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails suited for highly regulated industries.</p>
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<p><strong>Working knowledge of tools in the LLM ecosystem</strong> such as LangChain, LlamaIndex, or other OSS packages.</p>
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<p><strong>Experience in deploying and monitoring models at scale</strong> across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex) and familiarity with IT/OT convergence and industrial IoT data structures.</p>
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<p>Visa sponsorship is not offered for this role.<br>Learn More about Value Engineering at Celonis <a href="https://www.youtube.com/watch?v=LbuQ9nteONg" rel="noopener noreferrer">Here</a></p>
<div><p><strong>What Celonis can offer you:</strong></p>
<ul>
<li><span>Pioneer Innovation:</span> Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.</li>
<li><span>Ownership from Day 1:</span> Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.</li>
<li><span>Unrivaled Family Support:</span> 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.</li>
<li><span>Work-Life Integration:</span> 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.</li>
<li><span>Continuous Growth:</span> Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.</li>
<li><span>Holistic Well-being:</span> Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.</li>
<li><span>Drive Sustainability:</span> Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.</li>
<li><span>Global Inclusion & Belonging:</span> Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.</li>
<li><span>Value-Driven Impact:</span> Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.</li>
</ul>
<p><strong>About Us:</strong></p>
<p>Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.</p>
<p><br>Get familiar with the Celonis Process Intelligence Platform by watching this <a href="https://academy.celonis.com/learn/video/discover-the-ems" rel="noopener noreferrer">video</a>.</p>
<p><strong>Celonis Inclusion Statement:</strong></p>
<p>At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.<strong><br></strong></p>
<p><strong>Your Privacy:</strong></p>
<p>Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ <a href="https://www.celonis.com/careers/candidate-notices" rel="noopener noreferrer">Accessibility and Candidate Notices</a></p>
<p>By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our <a href="https://www.celonis.com/careers/privacy-notice/" rel="noopener noreferrer">Privacy Notice for the Application and Hiring Process</a>.</p>
<p>Please be aware of common job offer scams, impersonators and frauds. Learn more <a href="https://www.celonis.com/careers/fraud-alert/" rel="noopener noreferrer">here</a>.</p></div>
Required Skills
Requirements
Employment Type
Senior Level
Category
Science and Engineering
About Celonis
Location: New York, NY
Industry: Science and Engineering