Celonis
Applied Value Engineer Overview
| Company Name | Celonis |
| Job Role | Applied Value Engineer |
| Qualifications | Not Specified |
| Category | IT Jobs |
| Job Type | Full Time |
| Location | London |
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
To apply for this job please visit job-boards.greenhouse.io.