Customer Service · South Korea
At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
Actively serve a portfolio of assigned accounts based in Korea, including some of the world’s leading organizations in industries such as financial services, insurance, pharmaceuticals, transportation, manufacturing and technology
Gain an understanding of clients’ use cases and desired business outcomes and help a large number of licensed users achieve these goals via Dataiku & associated professional services
Leverage Customer Health analytics to identify customer expansion opportunities & churn risks
Provide guidance to customer organizations on how to leverage Dataiku to implement data science projects from design to production
Collaborate with Dataiku’s Sales team to expand customer relationships & ensure renewals
Implement customer engagement strategies, including adoption plans, value assessments, and Executive Success Reviews
Collaborate with Marketing to grow a library of customer testimonials
Inform customers of Dataiku’s Product roadmap & provide continuous customer feedback to Dataiku’s Product team
Oversee the management of a portfolio of customers, ensuring high levels of customer satisfaction and loyalty
Collaborate with cross-functional teams to resolve complex customer issues
Identify and pursue upsell and cross-sell opportunities
Requirements:
10+ years of experience in Customer Success, Account Management, or a related field
Strong understanding of customer success principles and best practices
Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems, with the confidence to ask deep questions to understand prospective customer’s current and desired future state.
Experience in technical pre-sales or post-sales, preferably in a high-growth environment
Experience in the data science, analytics, or big data markets preferred
Familiarity with data storage and computing infrastructure for data of all sizes (SQL, NoSQL, Kubernetes, Spark, etc)
Comfortability talking to all levels of customer teams from individual contributors to C-level executives
Experience in Analytics/AI or other enterprise software
Able to converse in English & Korean
Strategy and Operations:
Develop and implement strategies to optimize customer success processes and workflows
Analyze customer data to identify trends, opportunities, and challenges
Collaborate with product and marketing teams to inform product roadmap and marketing strategies
Nice to Have:
Experience with customer success platforms and tools
Familiarity with data analysis and visualization tools
Certification in Customer Success (e.g. CSM, CCSP)
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