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Full-Time

Technical Product Manager

Data analytics, Onsite or Remote, FR, UK, DE, NL

Posted on 9/12/2024

Dataiku

Dataiku

1,001-5,000 employees

AI solutions for operationalizing business processes

Enterprise Software
AI & Machine Learning

Senior

United Kingdom

Category
Product Management
Product Strategy
Product
Required Skills
Marketing
Data Analysis
Requirements
  • 6-8 years of work experience in software engineering teams either as an engineer or product/project owner.
  • Proven ability to influence cross-functional teams without formal authority, and to achieve strategic goals in an innovative and fast-paced environment.
  • Experience developing professional products and technologies.
  • Excellent problem-solving, organizational and analytical skills.
Responsibilities
  • Be the undisputed expert on product capabilities for your product area.
  • Collaborate closely with the product management team to build the backlog and prioritize the next features.
  • Own the product backlog. Defining and prioritizing the backlog with product stakeholders and engineering leaders.
  • Define user stories and specifications.
  • Create internal documentation about the new features: feature deck, internal videos, etc.
  • Follow up on the development of the features.
  • Participate in building the roadmap.
  • 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