Full-Time

Customer Success Engineer

Confirmed live in the last 24 hours

Dataiku

Dataiku

1,001-5,000 employees

Develops AI solutions for business operations

Data & Analytics
AI & Machine Learning

Compensation Overview

$120k - $160kAnnually

+ Commission + Variable Compensation

Junior, Mid

Pennsylvania, USA + 2 more

More locations: Philadelphia, PA, USA | United States

Willingness to travel up to 25%.

Category
Customer Experience
Customer Success & Support
Customer Success Management
Sales & Account Management
Sales & Solution Engineering
Required Skills
Data Science
Business Analytics
Databricks
Data Analysis
Snowflake
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.
  • Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
Responsibilities
  • Work closely with Dataiku’s customers in the East, 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%

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

5%

1 year growth

5%

2 year growth

7%
Simplify Jobs

Simplify's Take

What believers are saying

  • Dataiku's partnership with Rower Consulting expands its reach in the pharmaceutical sector.
  • Recognition in Gartner's Magic Quadrant reinforces Dataiku's industry leadership.
  • Dataiku Stories empowers users with Generative AI for dynamic data presentations.

What critics are saying

  • Competition from AI platforms like Databricks may impact market share.
  • High costs of generative AI initiatives could strain client budgets.
  • Reliance on partnerships poses risks if collaborations face challenges.

What makes Dataiku unique

  • Dataiku offers a centralized platform for enterprise AI and data analytics.
  • The company integrates seamlessly with AWS, enhancing connectivity and data processing.
  • Dataiku's LLM Guard Services ensure controlled Generative AI rollouts.

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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