Senior Product Manager, Data Insights and Analytics
Adobe
MongoDB
Principal Digital Product Manager – Applied AI
Caterpillar Inc.
full-time
Posted on:
Location Type: Hybrid
Location: Chicago • Colorado, Illinois, Texas • 🇺🇸 United States
Visit company websiteSalary
💰 $156,000 - $253,560 per year
Job Level
Lead
Tech Stack
AWSAzureCloud
About the role
- Define AI Product Strategy & Roadmap: Partner with key business functions to define the product vision, strategy, and roadmap for one or more AI-driven product areas.
- Identify high-impact opportunities where applied AI can deliver significant business value and exceptional user experiences.
- Translate Insights to Requirements: Work closely with stakeholders, business analysts, and users to understand needs.
- Translate these needs into clear, concise Epics, User Stories, and PRDs (Product Requirements Documents).
- Lead the AI Development Lifecycle: Collaborate daily with Data Scientists, ML Engineers, and Software Engineers to manage the end-to-end product development lifecycle.
- Manage Model Performance & Metrics: Define and monitor key product and model performance metrics.
- Launch, Adoption & Value: Partner with functional teams across the enterprise to successfully launch new AI products or features.
- Data Ethics and Compliance: Advocate for and ensure that AI products are developed and deployed ethically.
Requirements
- Extensive professional experience (typically 5+ years)
- Proven experience as a Product Manager focused on Machine Learning, Deep Learning, or AI-powered products (typically 3+ years)
- Solid foundational understanding of the ML lifecycle, common model types (e.g., NLP, Computer Vision, Predictive Models), feature engineering, and the challenges of deploying and monitoring models in production environments (MLOps)
- Exceptional written and verbal communication skills
- Ability to articulate complex AI concepts to non-technical business leaders and users
- Proven ability to define and execute a product roadmap based on quantitative data, market analysis, and user research
- Typically a Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
- Direct experience or degree in Data Science or Engineering - nice to have
- Experience with cloud-based ML platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML) - nice to have
- Prior experience managing products in a specific industry (e.g., FinTech, Healthcare, E-commerce) - nice to have
- Familiarity with A/B testing frameworks for evaluating and improving model-driven features - nice to have.
Benefits
- Medical, dental, and vision benefits*
- Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
- 401(k) savings plans*
- Health Savings Account (HSA)*
- Flexible Spending Accounts (FSAs)*
- Health Lifestyle Programs*
- Employee Assistance Program*
- Voluntary Benefits and Employee Discounts*
- Career Development*
- Incentive bonus*
- Disability benefits
- Life Insurance
- Parental leave
- Adoption benefits
- Tuition Reimbursement
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine LearningDeep LearningNatural Language ProcessingComputer VisionPredictive ModelsFeature EngineeringMLOpsProduct Roadmap DevelopmentData AnalysisUser Research
Soft skills
CommunicationStakeholder ManagementCollaborationProblem SolvingStrategic ThinkingUser Experience FocusEthical AdvocacyLeadershipAdaptabilityAnalytical Thinking
