4 days ago

AI Product Manager

Capgemini

On Site
Full Time
$140,000
New York, NY

Job Overview

Job TitleAI Product Manager
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$140,000
LocationNew York, NY

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Job Description

About Capgemini

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like. You’ll be supported and inspired by a collaborative community of colleagues around the world, and you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description: AI Product Manager

As an AI Product Manager, you will leverage extensive experience in AI and Product Management to drive strategic initiatives. This role requires a strong understanding of market trends, customer needs, and the entire product development lifecycle, from discovery to value management.

Key Responsibilities

  • Demonstrated proficiency in defining market trends, identifying, and validating high-value customer needs.
  • Driving product strategy and vision.
  • Managing priorities and personalities effectively within cross-functional teams.
  • Leading product management lifecycle activities including discovery, ideation, strategic development, requirements definition, and value management.
  • Communicating complex technical materials to both technical and non-technical stakeholders.
  • Collaborating effectively with senior stakeholders and technical leads.

Required Qualifications

  • 12 years of professional experience, including 5 years of relevant experience in AI and Product Management or Product Design.
  • Technical working knowledge of O365, Azure, and AWS.
  • Strong project management skills, organized, and extremely high attention to detail.
  • Exceptional verbal and written communication skills.
  • Fast learner with a passion for technology.
  • Advanced knowledge of the product development lifecycle, design, and data analytics.
  • Organized with a great sense of ownership and accountability.

Compensation and Benefits

The base compensation range for this role in the posted location is: $135,000 - $145,000 USD. Actual compensation may vary based on factors like geographic location, education, qualifications, experience, and market considerations.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees, which may include:

  • Paid time off (vacation, holidays, personal days, sick leave)
  • Medical, dental, and vision coverage
  • Retirement savings plans (e.g., 401(k))
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Key skills/competency

  • Product Management
  • Artificial Intelligence
  • Product Strategy
  • Azure
  • AWS
  • O365
  • Market Analysis
  • Cross-functional Leadership
  • Data Analytics
  • Stakeholder Communication

Tags:

AI Product Manager
Product Management
Artificial Intelligence
Product Strategy
Cloud Computing
Azure
AWS
O365
Data Analytics
Project Management
Stakeholder Communication
Market Analysis
Product Lifecycle
Machine Learning
Technical Leadership
Solution Design
Roadmapping
Requirements Gathering
Value Management
Cross-functional Collaboration

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How to Get Hired at Capgemini

  • Research Capgemini's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for AI Product Management: Highlight your 5+ years of AI and product experience, focusing on strategy, vision, and lifecycle management.
  • Showcase technical prowess: Emphasize your working knowledge of O365, Azure, and AWS, and any specific AI/ML project successes.
  • Prepare for behavioral interviews: Practice articulating your experience in cross-functional collaboration, stakeholder management, and project ownership.
  • Demonstrate problem-solving skills: Be ready to discuss how you define market trends, identify customer needs, and drive product value in AI.

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