Strategic Customer Success Manager, Americas

Position Overview

• Location Type: [Not Specified]
• Job Type: [Not Specified]
• Salary: [Not Specified]

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.

Why Customer Success at Dataiku?

• High-Impact Work: Guide Fortune 500 executives in building AI-strategies that shape industries.
• Elite Network: Work alongside world-class data teams and build relationships with C-suite decision-makers.
• Company Building: Partner alongside GTM leadership to influence cross-functional frameworks and processes.
• Global Exposure: Travel the world and collaborate with top-tier data leaders across industries.

The Strategic Customer Success Manager is responsible for serving a portfolio of large enterprise accounts for their assigned territory within the Americas. In this role, you’ll proactively work with a broad set of stakeholders to illustrate the value delivered through Dataiku’s software and services. Reporting directly into the Director, Customer Success, you’ll also serve as the internal voice of the customer while working with other Dataiku teams and partners to exceed customer expectations. If you’re passionate about driving customer product adoption, expansion, and retention, this role may be a good fit for you.

How you’ll make an impact

• 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 Product and Services.
• Help clients translate the business use cases they’re trying to crack into data science solutions and work with the customers to provide value assessments around the use cases and efficiency improvements.
• Provide guidance to customer organizations on how to leverage Dataiku to implement data science projects from design to production while actively ensuring adoption and growth strategies are in place and being worked.
• Implement customer engagement strategies including consistent Success Reviews, user community events, and customer participation in Dataiku community events to ensure customer engagement and satisfaction.
• Leverage customer health analytics to identify customer expansion opportunities and downsell and churn risks.
• Collaborate with Dataiku’s Sales team to ensure successful renewals and to expand customer relationships.

What you’ll need to be successful

• At least 10 years of prior account management, customer success, consulting experience, preferably within enterprise software or data science.
• Strong communication, presentation, and listening skills.
• Ability to engage with stakeholders at all levels of an organization and across various departments. This includes demonstrated success collaborating across diverse persona groups, including business executives, data scientists, analysts, and IT professionals.
• Strong knowledge of data science project lifecycle, including a proven record of supporting organizations in their AI maturity curve.
• Fluency in Spanish is a bonus, but not required.
• Willingness to travel up to 20%.

Compensation and Benefits

The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.

Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexibl[e work arrangements].