Job Description
The role involves supporting customer engagements by leveraging AI and process intelligence technology to solve business challenges, developing proof projects, and acting as a trusted advisor to drive value and investment decisions within a fast-paced SaaS environment.
Key Responsibilities
- Support the UK Value Engineering team on customer engagements
- Collaborate with customers to identify business challenges and demonstrate how Celonis Process Intelligence can address them
- Execute proof projects to showcase value, quantify business benefits, and present findings to senior executives
- Prototype and develop AI solutions tailored to customer needs, including machine learning and LLM-based solutions
- Drive change management and ensure positive return on investment for customers
- Build and maintain strong relationships with customers as a trusted advisor
- Share customer insights with internal teams to influence product development and innovation
- Create reusable collateral and best practices within the Global VE Center of Excellence
- Travel to meet clients in the UK region to support customer success
Requirements
- A bachelor's and or master's degree in Industrial Engineering, Computer Science, Data Science Business Analytics, AI ML, Mathematics or other related fields, as well as valuable work internship experience.
- Ability to think analytically and creatively, especially in applying technology solutions to core business problems.
- Basic knowledge or hands-on experience in SQL and or Python.
- Any exposure to process mining principles and completion of Celonis Rising Star modules would be a welcome indicator of your eagerness to develop in this field.
- Willingness to travel to the UK region to meet clients in person.
- Effective communication skills and fluency in English.
- Willingness to support customer engagements in the UK region, including travel to meet clients in person.
- Ability to rapidly develop solutions and pilots using our platform and AI technologies in a fast-paced environment.
- Passion for technology, data, and AI and the impact it can have on the world.
- Curiosity, self-motivation, and enjoyment of continuous learning.
- Ability to build relationships with senior management and influence decision-makers.
- Confidence to present to C-level executives and larger audiences.
Benefits & Perks
Compensation/salary range not specified
Work schedule not specified
Hybrid working options
Generous PTO
Company equity RSUs
Extensive parental leave
Dedicated volunteer days
Access to gym subsidies
Counseling and well-being programs
Internal mobility and clear career paths
Mentorship opportunities
Community and support through inclusion and belonging programs
Global collaboration with international teams
Open culture with autonomous teams
Ready to Apply?
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