Sr Sales Engineer, West
Dataiku · United States
- Hybrid
- Full-time
- $196,000 / year
- United States
Job highlights
- Qualify deals and conduct discovery meetings.
- Demonstrate business value with Dataiku.
- Design and execute POCs and evaluations.
- Provide technical guidance to customer teams.
- Attend industry conferences and build pipeline.
About the role
About 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.
Key skills/competency
- Sales Engineering
- AI Success Platform
- Pre-sales
- Data Science
- Analytics
- Big Data
- Enterprise Software
- Customer Value Demonstration
- Proof of Concept (POC)
- Technical Guidance
Skills & topics
- Sales Engineer
- Technical Pre-sales
- Dataiku
- AI Success
- Enterprise AI
- Machine Learning
- Data Science
- Big Data
- Analytics
- Kubernetes
- Spark
- SQL
- NoSQL
- West Coast
- MDT
- PST
How to get hired
- Tailor your resume: Highlight 6+ years of technical pre-sales experience and familiarity with data science, analytics, or big data markets.
- Showcase technical skills: Emphasize your knowledge of data storage and computing infrastructure (SQL, NoSQL, Kubernetes, Spark).
- Demonstrate business acumen: Provide examples of how you've articulated business value and led technical teams.
- Align with the region: Confirm your location within MDT and PST timezones for the West region.
- Prepare for interviews: Be ready to discuss your intellectual curiosity and experience in fast-paced, growing companies.
Technical preparation
Master Dataiku's platform features.,Practice data science and big data concepts.,Review SQL, NoSQL, Kubernetes, Spark.,Prepare to demo AI/analytics solutions.
Behavioral questions
Describe a complex technical problem you solved.,How do you articulate business value to clients?,Share an experience demonstrating intellectual curiosity.,How do you collaborate with sales teams?
Frequently asked questions
- What is the base pay range for a Senior Sales Engineer at Dataiku?
- The US national base pay range for this role is $160,000 - $196,000 USD. The final compensation will be determined during the interview process based on various factors like location, experience, and skills.
- What timezones should I be located in for the Senior Sales Engineer role?
- For this West region Senior Sales Engineer position, you should currently be located within the Mountain (MDT) and Pacific (PST) timezones.
- What are the key responsibilities of a Senior Sales Engineer at Dataiku?
- Key responsibilities include qualifying deals, conducting discovery meetings, demonstrating Dataiku's business value, designing and executing Proofs-of-Concept (POCs), providing technical guidance, and assisting in sales pipeline building.
- What experience is preferred for the Senior Sales Engineer position?
- Dataiku prefers candidates with 6+ years of technical pre-sales experience, ideally in a high-growth environment, and familiarity with the data science, analytics, or big data markets is a plus.
- Does Dataiku offer comprehensive benefits for the Senior Sales Engineer role?
- Yes, Dataiku offers comprehensive benefits including stock options, medical, dental, and vision plans, a 401k company match, paid time off, and other health and wellbeing perks.
- What kind of technical infrastructure knowledge is required for this role?
- You should be familiar with data storage and computing infrastructure for data of all sizes, including technologies like SQL, NoSQL, Kubernetes, and Spark.
- How does Dataiku approach AI success and enterprise orchestration?
- Dataiku is the Platform for AI Success, acting as an enterprise orchestration layer for building, deploying, and governing AI. It provides a single environment for teams to design and operate analytics, machine learning, and AI agents with transparency, collaboration, and control.
- How can I prepare for the interview process for the Senior Sales Engineer role at Dataiku?
- Prepare to discuss your intellectual curiosity, technical pre-sales experience, understanding of data markets, and how you articulate business value. Familiarize yourself with Dataiku's platform and its role in enterprise AI success.