About Dataiku
Dataiku
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.
If you’re ready to take your pre-sales career to the next level, the Dataiku Sales Engineering team would like to hear from you. Together, we’ve built a team that has closed some of Dataiku‘s most important sales with companies whose names you hear and products you use everyday. We do it by working together to serve our customers in ways that ensure their success.
How you’ll make an impact
- Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management.
- Conduct Discovery meetings and learn from the customer and the BDR about the customer’s business requirements and technical environment
- Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer.
- Use Dataiku to demonstrate the business value articulated in the usage scenarios.
- Design and create Dataiku demonstrations, Proofs-of-Concept (POC), and evaluations that clearly illustrate how to apply Dataiku to deliver the required customer value.
- Execute demonstrations, POCs, and evaluations through coordination of the physical and human resources of Dataiku and the customer. Lead the combined team to carry out the agreed upon course of action to prove that Dataiku delivers the needed value better than our competitors.
- Answer questions and provide technical guidance to the customer’s technical team regarding the demonstrated or evaluated solutions.
- Assist in sales pipeline building activities including attendance at live and/or virtual trade-shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management.
What you’ll need to be successful
- Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems
- 6+ years’ experience in technical pre-sales, preferably in a high-growth environment
- Experience in the data science, analytics, or big data markets preferred but not required
- 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
- Previously worked in a fast paced, growing company
- Currently located within MDT and PST timezones for West region
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.
What are you waiting for!
Originally posted on Himalayas
To apply for this job please visit himalayas.app.
Working in United States
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What people say about Dataiku
- Global AI confessions: CEO edition 2026 – Dataiku
- OpenAI Privacy Filter
- Death of the Dark Room: How Generative AI Broke Enterprise It's Political Cover
- Ask HN: Who wants to be hired? (January 2026)
Recent news
- Dataiku Appoints Maxwell Long as President and Chief Revenue Officer to Scale Enterprise AI Adoption - citybiz
- Dataiku Announces Cobuild General Availability, the AI Building Agent That Closes the Build-Govern Gap - Macau Business
- Dataiku launches governed AI workflow builder inside Snowflake - SiliconANGLE
- Analytics and Data Science News for the Week of June 12; Updates from Databricks, Dataiku, Golden Analytics & More - Solutions Review
- Dataiku Pivots to AI Success. Can One Control Plane Master a Multi-Cloud Agent Wilderness? - The Futurum Group
Aggregated from public discussions and news; opinions are the authors’ own.
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