Dataiku

Associate Engagement Manager

United States

Dataiku Logo
Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Data Science, AI, Software ServicesIndustries

Requirements

Candidates should have 0-1 years of experience leading cross-team and-or cross-functional projects, an organized approach, ambition, and the ability to take ownership and delegate as needed. They should possess a Bachelor’s degree in a STEM field, military experience, or equivalent years of experience in a related field, and an excellent understanding of modern project management methodologies and software engineering processes.

Responsibilities

The Associate Engagement Manager will manage client relationships, needs, and oversee implementation services estimation, delivery, and controls, leading the service delivery team to ensure efficient task completion and conflict resolution. They will also manage sizing, contracts, finances, and budgets, assess customer feedback to refine product offerings, facilitate discussions on infrastructure sizing and implementation, prioritize and schedule work based on company KPIs, and iterate on product lifecycle workflows while coordinating release coordination.

Skills

Client Relationship Management
Project Coordination
Team Leadership
Conflict Resolution
Budget Management
Customer Feedback Analysis
Infrastructure Sizing
Architectural Implementation
Product Lifecycle Management
Communication Skills
Project Management Methodologies
Software Engineering Processes
Portfolio Management
Risk Management
Process Improvement

Dataiku

AI solutions for operationalizing business processes

About Dataiku

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% with high accuracy. The company generates revenue by providing these AI solutions and has a partnership with AWS, enhancing their service offerings and scalability for clients.

Key Metrics

New York City, New YorkHeadquarters
2013Year Founded
$823.3MTotal Funding
SERIES_FCompany Stage
Data & Analytics, AI & Machine LearningIndustries
1,001-5,000Employees

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

Risks

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

Differentiation

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

Upsides

Dataiku's partnership with Rower Consulting expands its reach in the pharmaceutical sector.
Recognition in Gartner's Magic Quadrant boosts Dataiku's credibility in AI solutions.
Dataiku Stories enhances user engagement with Generative AI-powered presentations.

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