Full-Time

Engagement Manager

Posted on 10/30/2024

Dataiku

Dataiku

1,001-5,000 employees

AI solutions for operationalizing business processes

Data & Analytics
AI & Machine Learning

Compensation Overview

$110k - $130kAnnually

+ Commission + Variable Compensation

Mid

Remote in USA

Must be located within the EST or CST regions of the United States.

Category
Data Management
Data Science
Data & Analytics
Required Skills
Data Science
SCRUM
Requirements
  • Have 2-5 years’ of experience leading project teams and-or cross-functional projects.
  • Have a Bachelor’s or Military experience in a related field.
  • Have an excellent understanding and practical experience with modern project management methodologies and software engineering processes.
  • Have excellent communication skills.
  • Location: Must be currently located within either the EST or CST regions of the United States.
  • Master's Degree in Computer Science or STEM degree program or equivalent combination of skills and experience.
  • Data science degree or background in previous roles.
  • Previous Services experience in a SaaS company.
  • Project Management/Scrum certifications (CAPM, PMP, etc).
Responsibilities
  • Manage client relationships, needs, and oversee implementation services estimation, delivery, and controls across multiple engagements.
  • Lead the service delivery team, managing conflict, and ensuring the team's processes and tasks are carried out efficiently.
  • Manage Project Budget, Margin, Scope, and Schedule within initial parameters.
  • Independently identify internal and external project risks and provide fit-for-purpose mitigations.
  • Assess customer feedback and refine products and service offerings with internal owners and providers.
  • Facilitate and guide discussions on the infrastructure sizing, positioning, and architectural implementation of capabilities with engineering and data science leads.
  • Prioritize and schedule work based on company KPIs and multiple team’s capacity and availability.
  • Iterate on and help evolve the product lifecycle workflow and capabilities and coordinate release coordination.

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 is recognized as a leader in Gartner's 2024 Magic Quadrant for DSML Platforms.
  • Partnerships with Rower Consulting and Teragonia enhance AI solutions in various sectors.
  • Dataiku Answers addresses demand for customizable AI solutions in enterprise settings.

What critics are saying

  • Emerging AI platforms could erode Dataiku's market share.
  • Rapid AI advancements may outpace Dataiku's feature integration capabilities.
  • High costs of generative AI solutions may limit adoption among smaller enterprises.

What makes Dataiku unique

  • Dataiku offers a centralized platform for enterprise AI and data science solutions.
  • The company integrates with Git for seamless collaboration and project management.
  • Dataiku's LLM Guard Services manage generative AI rollouts efficiently.

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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

INACTIVE