Partner Solutions Engineer

About the role

The Team Our Field Partner Management organization is pivotal in driving Celonis' growth by empowering our partner ecosystem. As part of this team, you'll work alongside Partner Managers to maximize client value through our technology. We focus on building strong partner relationships and ensuring our partners excel in delivering Celonis solutions.

Responsibilities

• Work closely with Partner Managers to ensure that partners are equipped with the knowledge and tools to drive their own and their customers’ success.
• Provide deep product expertise, business consulting, and advise partners on best practices for Celonis projects.
• Leverage generative AI tools (e.g., Gemini, Claude, Cowork) to accelerate development, analysis, and deliverables.
• Design AI solutions by integrating with modern data and AI platforms, including Databricks and Microsoft Copilot Studio.
• Drive the adoption of the latest Celonis features and functionalities among partners, ensuring they stay at the forefront of innovation.
• Act as a primary point of contact for advisory needs from partners on their engagements, ensuring timely and effective resolution.
• Work closely with sales, product, value engineering, and services teams to ensure alignment and support partner success.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Business Informatics, Engineering, Management & Technology or a related field.
• 3+ years of experience in IT Services, Management Consulting, Business Process Improvement, Digital Transformation or similar areas.
• Strong ability in critical & strategic thinking and problem-solving, helping you to quickly understand business problems and breaking them down into Celonis requirements.
• In-depth business process understanding, such as supply chain, financial services, IT service management.
• Client-facing Project Management experience in managing multiple projects concurrently is a must, within SaaS is a big plus.
• Strong foundation in SQL and proficiency in programming languages such as Python; practical experience leveraging modern AI tools and hyperscaler/data ecosystems for technical engagements.
• Experience building or utilizing MCP (Model Context Protocol) servers for AI interoperability is a plus.
• Self-starter, showing strong ownership, outcome-driven and a life-long learner.
• Thrives in fast-paced, collaborative, and ambiguous environments with various stakeholders.