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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI.
In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require.
Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.
For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
As a Regional Sales VP, you’ll lead a dynamic sales team that is responsible for driving top-line revenue for the region, acquiring new logos, and ensuring that our existing clients love our product and increase their use over time.
You’ll build, coach, lead, and enable a high-performing team of sales professionals.
You’ll also collaborate with cross-functional partners, including leaders in pre-sales, marketing, product management, customer success, and data science.
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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, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
AI and machine learning platform that enables teams to build, deploy, and govern data projects from analytics to generative AI at enterprise scale.
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