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

Entry, Junior, Mid

Philadelphia, PA, USA

Willingness to travel up to 25%.

Category
Customer Success
Customer Success & Support
Sales & Account Management
Sales & Solution Engineering
Required Skills
Data Science
Business Analytics
Databricks
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 creates AI solutions that help businesses integrate artificial intelligence into their daily operations. Their offerings include Generative AI, which generates new content or predictions, and MLOps, which enhances collaboration between data scientists and operations teams. A key achievement is helping a retail client improve its forecasting speed by 900% with high accuracy. Dataiku aims to empower businesses to effectively use AI to enhance their forecasting and data processing.

Company Stage

Series F

Total Funding

$823.3M

Headquarters

New York City, New York

Founded

2013

Growth & Insights
Headcount

6 month growth

4%

1 year growth

4%

2 year growth

6%
Simplify Jobs

Simplify's Take

What believers are saying

  • Dataiku's recognition as a Leader in Gartner's Magic Quadrant for DSML Platforms underscores its industry leadership and credibility.
  • Strategic partnerships with firms like Rower Consulting and Teragonia expand Dataiku's reach into specialized sectors such as pharmaceuticals and private equity, enhancing its market influence.
  • The launch of innovative tools like Dataiku Answers and LLM Cost Guard demonstrates the company's commitment to addressing emerging needs in generative AI and cost monitoring.

What critics are saying

  • The high financial commitment required for generative AI projects may strain budgets and limit adoption among smaller enterprises.
  • Challenges in fully operationalizing AI, as highlighted by the survey, could slow down the implementation and effectiveness of Dataiku's solutions.

What makes Dataiku unique

  • Dataiku's focus on operationalizing AI sets it apart by integrating AI into everyday business operations, unlike competitors who may only offer standalone AI solutions.
  • Their partnership with AWS as a Global ISV AI/ML Partner of the Year enhances their connectivity and scalability, providing a seamless integration with AWS AI services.
  • Dataiku's platform centralizes data science, transformation workflows, and decision models with robust governance, offering a comprehensive solution for AI implementation.

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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