Associate Value Engineering, Orbit India

About the Role

Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer. This 12-month program is a unique experience to fast-start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis. Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling, as well as value selling.

You are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle. You will be joining the Global VE Center of Excellence, an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams.

Key Responsibilities

• Work as part of the Global VE CoE to support the Benelux Value Engineering team on customer engagements.
• Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy.
• Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value, and deliver presentations to senior executives to drive investment decisions.
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions, and orchestration technology.
• Drive change management and value realization and ensure a positive return on investment.
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor.
• Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations.
• Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team.
• Travel to the Benelux region to meet clients in person to ensure the success of customer engagements.

Requirements & Tech Stack

• Bachelor's and/or Master's degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics, or other related fields.
• Valuable work/internship experience.
• Passion for technology, data, and AI and the impact it can have on the world.
• Hunger to learn new technologies.
• At least basic knowledge or hands-on experience in SQL and/or Python.
• Ability to think analytically and creatively, especially in applying technology solutions to core business problems.
• Focus on creating and adding value for customers.
• Entrepreneurial mindset and the ability to multi-task, prioritize, and execute.
• Ability to build relationships with senior management and influence decision-makers.
• Confident to present to C-level executives and larger audiences.
• Willingness to travel to the India region to meet clients in person.
• Effective communicator and fluent in English.
• Enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes.
• "Builders" who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.
• Curious, self-motivated, enjoy continuous learning, and want to work in a lively environment characterized by high growth.

Optional Indicators of Eagerness:

• Any exposure to process mining principles.
• Completion of Celonis Rising Star modules.