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Tool for analysts and developers to boost their productivity in data science

Enterprise Customer Success Manager

$130k - $155k • 0.001% - 0.002%
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Please apply through this link: jobs.lever.co/dataiku/f1f4211b-76db-4a5e-9b8b-32cb761181f9?lever-origin=appli…

The Dataiku Customer Success Manager is responsible for serving a portfolio of large enterprise accounts. This position proactively works with a broad set of stakeholders to illustrate the value delivered through Dataiku’s software & services. The 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.

Key Responsibilities:
Actively serve a portfolio of assigned accounts including some of the world’s leading organizations in industries such as financial services, insurance, pharmaceuticals, transportation, manufacturing and technology
Gain an understanding of client’s use cases and desired business outcomes and help a large number of licensed users achieve these goals via Dataiku’s Data Science Studio (DSS) & Services
Help clients translate the business use cases they’re trying to crack into data science solutions
Partner with Dataiku Implementation Managers and Data Scientists to ensure successful deployment and engagement with DSS
Provide guidance to customer organizations on how to leverage DSS to implement data science projects from design to production
Implement customer engagement strategies including consistent Executive Business Reviews
Leverage Customer Health analytics to identify customer expansion opportunities & churn risks
Collaborate with Dataiku’s Sales team to expand customer relationships & ensure renewals
Effectively solve ad-hoc customer issues as needed, interacting with Customer Support, escalating customer issues as needed and identifying solutions/resources
Collaborate with Marketing to grow library of customer testimonials
Inform customers of Dataiku’s Product roadmap & provide continuous customer feedback to Dataiku’s Product team
Stay current customers on Dataiku’s products, competitive landscape & data science trends
Embrace & contribute to Customer Success team methodologies

Core Skills & Talent:
Passion for serving large organizations and for data science
Strong verbal/written communication & presentation skills; extraordinary listening skills
Comfort establishing credibility with key customer decision makers & influencers
Ease in speaking to stakeholders at all levels and various departments: from business executives to data scientists, analysts and IT
Strong problem solving & analytical skills; formulate solutions that deliver real business value
Ability to recognize & maximize new business opportunities
Well organized; handle multiple accounts & assignments simultaneousl
A commitment to exceed goals that is internal, constant & self-imposed.

Qualifications:
B.S. or B.A. in business management, finance, economics, data science or similar study. MBA, Masters in Computer Science or similar degree preferred
Working knowledge of databases and big data technologies such as Hadoop and Spark preferred
Validated results in prior role
At least 5-15 years of prior account management, customer success, consulting experience, preferably within enterprise software or data science
Ability to travel up to 40% of the time

Expected Outcomes:
Increased depth & breadth of product adoption across customer accounts
Identification of additional revenue opportunities for Dataiku Sales team
High revenue retention with limited churn & downsells
Verifiable customer proof points, references and case studies across customer portfolio
High NPS & Customer Satisfaction score

Benefits:
Opportunity to join Dataiku early on and help scale the company
Competitive compensation package, equity, health benefits, and paid vacation
Trips to Paris (our European HQ)
Opportunity to work with a smart, passionate and driven team
Dataiku has a strong culture based on key values: Ownership, Passion, Autonomy and Friendliness

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