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Full-Time

Field Product Manager

Posted on 10/22/2024

Dataiku

Dataiku

1,001-5,000 employees

AI solutions for operationalizing business processes

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$185 - $25.5MAnnually

+ Commission + Variable Compensation

Mid

New York, NY, USA + 1 more

More locations: United States

US only national base pay ranges $185—$25,500,000 USD.

Category
Product Management
Product
Required Skills
Data Analysis
Requirements
  • 3-5 years of experience in a similar role and a demonstrated ability to learn and thrive in front of a diverse audience in a very technical environment
  • Understand the challenges and needs to design, build and operate a wide spectrum of analytics solutions (including advanced analytics, predictive analytics, ML-based GenAI-powered applications)
  • Ability to engage with business leaders and influence decisions without formal authority
  • Great communication skills (both written and oral), ability to clearly articulate and present complex situations and concepts. English native speaker or fully fluent required - with proficient writing level.
  • Demonstrated project management skills, capable of orchestrating multiple projects and supporting several teams in parallel and across time zones
  • Deep interest in turning data, analytics and artificial intelligence technologies to value
Responsibilities
  • Engage with customers to extract valuable insights about their business challenges and the utility of our products in addressing these issues.
  • Deliver engaging product presentations to customers, showcasing new features, updates, and future product directions.
  • Tailor presentations to different customer segments and levels of technical knowledge.
  • Actively engage with customers to gather their feedback, concerns, and suggestions during presentations and follow-up discussions.
  • Use surveys, Q&A sessions, and other feedback tools to ensure a comprehensive understanding of customer needs.
  • Analyze market forces, engage with industry analysts and Dataiku expert teams to execute on Dataiku’s product strategy, and collaborate with the Product Marketing team to align and deliver on product positioning messages.
  • Stay up-to-date with industry trends and customer needs to ensure the product remains competitive and aligned with market demands.
  • Regularly assess the effectiveness of product presentations and customer engagement strategies.
  • Work closely with the GTM teams and the Product Managers on your team to position the capabilities the product engineering team delivers, and ensure a product-market fit.
  • Act as a liaison between customers and internal teams, ensuring that customer feedback, insights, pain points, and improvement suggestions are accurately communicated and understood.
  • Work closely with sales, marketing, and support teams to ensure alignment on customer needs and product messaging.
  • Participate in the development, maintenance and education on Dataiku's roadmap. Articulate to stakeholders your team’s technology vision, requirements, goals and milestones.

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

$1.2B

Headquarters

New York City, New York

Founded

2013

Growth & Insights
Headcount

6 month growth

3%

1 year growth

2%

2 year growth

6%
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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