Job Description
At Celonis, we believe our people make us who we are and that “The Best Team Wins”.
Key Responsibilities
- Identify & Frame Value (Win Accounts): Work closely with the Sales team to define the account strategy and pitch corporate prospects. Translate high-level business needs across key sectors (Manufacturing, Retail, Finance, Supply Chain) into critical AI and process-mining use cases, building the tailored business cases, technical demos, and Proof-of-Value projects needed to win new accounts.
- Realize Value (Execute & Deliver Impact): Govern and drive the execution of the business-critical implementation plan defined in the framing stage. Collaborate directly with delivery teams and the customer’s in-house services to ensure solutions (leveraging SaaS, Python, or generative AI) are effectively deployed, tracking and unlocking maximum operational value and ROI for senior leadership.
- Scale Value (Grow Accounts): Drive account growth, adoption, and renewals by embedding Celonis as a strategic transformation platform. Oversee multidisciplinary account teams to manage project scopes and timelines, aligning continuously with Sales to identify expansion roadmaps and effectively communicate results directly to C-level executives. Ensure CIO and C-level business alignment and sponsorship.
- Native-level Spanish proficiency is required for this role. Candidates must be able to lead customer workshops, conduct executive presentations, and manage stakeholder interactions in Spanish.
Requirements
- +4 years of experience leading technical pre-sales, delivery projects, including defining AI roadmaps, building compelling ROI/TCO critical business cases and prototyping of machine learning and generative AI solutions as well as ensuring health and expansion within the customer journey.
- Domain/Industry Expertise: experience of the supply chain business domain across sectors (Manufacturing, Consumer, Retail, Services and Resources) with the ability to translate high-level business needs into specific business critical AI use cases.
- AI, Data, Analytics: Fundamentals of data scientist, how to create meaningful use cases for generative AI for business, understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
- Good knowledge of Business Software / SaaS applications (e.g. SAP, Oracle, ), experience with implementing RPA and/or BI Tools and/or building Dashboards.
- Knowledge of one of followings: Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies. SQL is a must.
- Process Improvement & Value Realization: Experience in identifying and projecting value use cases and operative impact for business improvement in the different domains and deploying ways of measurement results ensuring ROI.
- Project and Executive Stakeholder Management: Experience in planning and managing project scopes, expectations and timelines is a plus. You will oversee a multidisciplinary team within the account team that will be at different parts of the value journey.
- Excellence in preparing and communicating roadmaps and results to stakeholders and c-level, both internally and externally.
- Degree: In Technology & Management, Industrial/Business Engineering, Business Informatics, Computer Science, Mathematics, or equivalent work experience preferred.
Ready to Apply?
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