Senior Customer Success Manager (based in Frankfurt)

We are looking for a Senior Customer Success Manager to join us in Frankfurt, Germany, as part of an exciting new team. The Dataiku Senior Customer Success Manager is responsible for serving a portfolio of large enterprise accounts for their assigned territory. This position proactively works with a broad set of stakeholders to illustrate the value delivered through Dataiku’s software & services. The Senior Customer Success Manager serves as the internal voice of the customer while working with other Dataiku teams and partners to exceed customer expectations. This individual's performance is based on specific metrics associated with customer product adoption, expansion & retention.

How you'll make an impact:

• Actively serves a portfolio of assigned accounts, including some of the world’s leading organisations in manufacturing, energy and defence.
• Gain an understanding of the client’s use cases and desired business outcomes, and help a large number of licensed users achieve these goals via Dataiku's Product & Services.
• Help clients translate the business use cases they’re trying to crack into high ROI solutions.
• Partner with the Dataiku account teams (Engagement Managers, Technical Account Managers, Data Scientists and Sales Engineers) to ensure the success of your customers.
• Provide guidance to customer organisations on leveraging Dataiku to implement data science projects from design to production.
• Implement customer engagement strategies, including consistent Executive Business Reviews and account planning.
• Leverage Customer Health analytics to identify customer expansion opportunities & churn risks.
• Collaborate with Dataiku’s Sales team to expand customer relationships & ensure renewals.

What you'll need to be successful:

• Ease in speaking to stakeholders at all levels and various departments: from business executives to data scientists, analysts and IT.
• At least 5-15 years of prior account management, customer success, consulting experience, preferably within enterprise software or data science.
• Strong verbal/written communication & presentation skills; extraordinary listening skills and proactivity.
• Strong knowledge of the data science project lifecycle and a proven record of supporting organisations in their AI maturity curve.
• Change management through major programs (onboarding, champion network, building centres of excellence)