Full-Time

Customer Success Engineer

Confirmed live in the last 24 hours

Dataiku

Dataiku

1,001-5,000 employees

AI solutions for operationalizing business processes

Data & Analytics
AI & Machine Learning

Compensation Overview

$120k - $160kAnnually

+ Commission + Variable Compensation

Junior, Mid

Dallas, TX, USA

Focus on onboarding and customer success in the western region.

Category
Customer Education & Training
Customer Experience
Customer Success & Support
Customer Success Management
Sales & Account Management
Sales & Solution Engineering
Required Skills
Data Science
Business Analytics
Data Analysis
Requirements
  • Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
  • Minimum of two years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
  • Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
  • Strong technical, analytical, and problem-solving skills.
  • Experience in building and operating communities of practice.
  • Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
  • Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users.
Responsibilities
  • Work closely with Dataiku’s customers in the West, focusing on onboarding, increasing user adoption, retention, and satisfaction.
  • Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform.
  • Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
  • Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers.
  • Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
  • Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
  • Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
  • Document and share the adoption status and key information to inform internal forecasting and renewal.
  • Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly.
  • When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution.
  • Stay current on Dataiku’s products, competitive landscape, and data science trends.
  • Willingness to travel up to 25%.
Desired Qualifications
  • Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
  • Never-ending intellectual curiosity, are detail-oriented, and analytical.
  • Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL.
  • Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
  • Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
  • Experience in Analytics/AI or other enterprise software (preferred but not required).
  • Experience in technical pre-sales or post-sales, preferably in a high-growth environment (preferred but not required).

Dataiku develops AI solutions aimed at integrating artificial intelligence into everyday business operations. Their products focus on operationalizing AI, which helps businesses enhance their processes and outcomes. Key offerings include Generative AI, which creates new content or predictions, and MLOps, which facilitates collaboration between data scientists and operations teams to manage the machine learning lifecycle. Dataiku's solutions have proven effective, as demonstrated by their work with a retail client that improved forecast runtime by 900% and achieved 88% accuracy on a 52-week forecast. Unlike many competitors, Dataiku emphasizes seamless integration with AWS services, enhancing data processing capabilities for clients. The company's goal is to empower businesses to leverage AI for better forecasting and data management.

Company Stage

Series F

Total Funding

$823.3M

Headquarters

New York City, New York

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Dataiku's LLM Guard Services ensure smooth Generative AI rollouts for enterprises.
  • Recognition in Gartner's 2024 report boosts Dataiku's credibility in AI platforms.
  • The launch of Dataiku Stories enhances user engagement with dynamic data presentations.

What critics are saying

  • Emerging AI platforms with lower costs threaten Dataiku's market share.
  • Dependence on AWS could impact Dataiku if partnership terms change.
  • Rapid AI advancements may challenge Dataiku's feature integration speed.

What makes Dataiku unique

  • Dataiku offers a centralized platform for enterprise AI and analytics at scale.
  • The company provides structured solutions for Generative AI and MLOps.
  • Dataiku's partnerships with major firms like AWS enhance its service offerings.

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Benefits

Health, life & pension benefits

Equity

Time off for R&R

Public holidays

Work from anywhere policy (unique to team)

12 weeks of paid parental leave

Volunteering opportunities

Career Development opportunities

Technology stipend

Onsite meals & healthy snacks

Office happy hours

Company-wide events