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Full-Time

Technical Product Manager

AI/ML, Onsite or Remote, FR, UK, DE, NL

Posted on 9/10/2024

Dataiku

Dataiku

1,001-5,000 employees

AI solutions for operationalizing business processes

Enterprise Software
AI & Machine Learning

Mid

United Kingdom

Category
Product Management
Product Strategy
Product
Required Skills
Data Science
Marketing
Requirements
  • 4 years of related work experience in software engineering teams either as an engineer or product / project owner.
  • Strong interest in Data and Machine Learning
  • BA/BS in Computer Science, Data Science or related technical field, or equivalent.
  • Proven ability to influence cross-functional teams without formal authority.
  • Experience developing professional products and technologies.
Responsibilities
  • Be an undisputed expert on product capabilities for your product area
  • Collaborate closely with the Product Management team to define the roadmap and prioritize the backlog
  • Ensure feature delivery, while striking a balance between market priorities and engineering workload
  • Own your features, from defining the specifications all the way to ensuring internal enablement for the release, including the entire development cycles
  • Define user stories and technical specifications
  • Create internal documentation about the new features: release enablement, internal demo videos, etc…
  • Closely follow the development of the features, with the engineering team and leaders
  • Collaborate with the Product Marketing team to create the content about new features.

Dataiku creates AI solutions that help businesses integrate artificial intelligence into their daily operations. Their products include Generative AI, which generates new content or predictions, and MLOps, which supports 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

$1.2B

Headquarters

New York City, New York

Founded

2013

Growth & Insights
Headcount

6 month growth

2%

1 year growth

0%

2 year growth

5%
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.

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