Applied Value Engineer

Applied Value Engineer Overview

Celonis is at the forefront of industrializing Enterprise AI, utilizing the Celonis Context Model to transform operational clarity for businesses. As an Applied Value Engineer, you will play a critical role in addressing complex business challenges for our strategic global accounts.

Key Responsibilities:

• Engage with strategic global accounts to identify and address their operational challenges and develop tailored AI solutions.
• Conduct technical discovery to create bespoke AI solutions that target specific industry-related operational issues.
• Lead the execution of Proof-of-Value (PoV) projects, ensuring the delivery of secure and scalable AI systems integrated with enterprise data.
• Maintain ongoing technical and advisory support for strategic accounts to ensure projects meet value and adoption goals.
• Utilize domain expertise to create end-to-end solutions specific to various industries and contribute to the development of reusable methodologies.

Qualifications:

• Minimum of 2 years of experience in executive-facing presales and value engineering, with a focus on AI transformation.
• Proven track record in executing PoV projects, ROI/TCO modeling, and presenting innovative solutions to complex problems.
• Strong understanding of core business processes and industry landscapes, particularly in supply chain and finance.
• Proficiency in Python, API design, SQL, and familiarity with ML/AI libraries such as PyTorch and TensorFlow.
• Experience with agentic AI systems, including orchestration and prompt engineering.
• Knowledge of model deployment and lifecycle management across cloud platforms like AWS and Azure.
• Understanding of cloud architectures, data governance, and compliance requirements.
• Applied knowledge of optimization, statistical analysis, and forecasting is advantageous.
• Excellent presentation skills for engaging with both internal teams and external stakeholders, including executives.
• Fluent in English with a strong executive presence.
• A Master’s degree in computer science, engineering, mathematics, business engineering, or a related field is preferred.

Benefits:

• Opportunity to work with a leading company in Process Mining and AI-driven business operations.
• Ownership from the start, including Restricted Stock Units (RSUs) and merit-based grants.
• Comprehensive parental leave policy offering 24 weeks of fully paid leave for primary caregivers and 12 weeks for supporting caregivers.
• Unlimited paid time off (PTO) in applicable regions, along with a flexible hybrid work model.
• Access to continuous learning opportunities through mentorship programs and a dedicated learning platform.
• Health and wellness benefits, including subsidized memberships and mental health counseling.
• Paid time off for community and environmental volunteering during annual Impact Days.
• Commitment to diversity and inclusion through various initiatives and community-building activities.

Degree Requirement: Not Specified

Visa Sponsorship May be