Intelligence Engine Product Manager

Red Hat

. Define the strategic vision, business case, and phased roadmap for the Intelligence Engine, ensuring alignment with overall digital experience and AI strategy.

Posted 4/1/2026full-timeRaleigh • Massachusetts, North Carolina • 🇺🇸 United StatesSeniorLead💰 $131,420 - $216,870 per yearWebsite

Tech Stack

Tools & technologies

ETL

About the role

Key responsibilities & impact

Define the strategic vision, business case, and phased roadmap for the Intelligence Engine, ensuring alignment with overall digital experience and AI strategy.
Manage the backlog, prioritize features, and communicate product updates and value to stakeholders.
Conduct needs assessments, market research, and competitive analysis to identify opportunities for platform growth and feature enhancements.
Collaborate with application teams, marketing, and business stakeholders across the organization to gather requirements and define user stories for personalization use cases.
Work closely with the engineering and data architecture teams to translate product requirements into technical specifications, ensuring scalable and reliable API design and data integration patterns.
Partner with AI/ML teams to ensure the platform supports emerging AI agent requirements as well as traditional personalization use cases.
Define and monitor key product success metrics (KPIs) related to platform adoption, usage, performance, and business impact.
Partner with Data Privacy and Governance teams to ensure customer data handling meets regulatory and policy requirements.

Requirements

What you’ll need

8+ years of product management experience, specifically working with data platforms, personalization engines, Customer Data Platforms (CDPs), or LLM context management.
Bachelor's degree in business, computer science, engineering, or a related field.
Proven ability to define and execute a product vision and roadmap for complex, data-intensive APIs or AI/ML platforms.
Knowledge of machine learning and AI concepts, particularly as applied to personalization, recommendation systems, and predictive analytics.
Experience with LLM context management for Agentic workflows.
Strong understanding of data architecture, data modeling, ETL/ELT processes, and how they relate to building a unified customer view.
Experience with API products, including defining API specifications, documentation, and managing the developer experience.
Demonstrated ability to work effectively with engineering, data science, and design teams to drive product development from concept to launch.
Excellent communication and presentation skills, with the ability to influence and convey complex technical/data concepts to executive and non-technical audiences.
Experience with agile development methodologies and product management tools (e.g., Jira, Confluence).
Experience defining metrics and conducting quantitative analysis to measure product success.

Benefits

Comp & perks

Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

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Hard Skills & Tools

product managementdata platformspersonalization enginesCustomer Data Platforms (CDPs)LLM context managementAPI designdata architecturedata modelingETL processespredictive analytics

Soft Skills

communication skillspresentation skillsinfluencing skillscollaborationneeds assessmentmarket researchcompetitive analysisstakeholder managementquantitative analysisteamwork