Product Manager, AI & Predictive Analytics

Liaison

. Develop and maintain the product roadmap for AI, analytics, and agentic capabilities, including AI-driven recommendations, conversational interfaces, workflow automation, and student- and institution-level insights .

Posted 9/18/2026full-timeUnited StatesMid-LevelSenior💰 $100,000 - $125,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Product Management with a focus on AI and analytics, translating complex requirements into actionable product features. Strong background in data-driven decision-making and collaboration across cross-functional teams to enhance product development and user adoption.

Highest-signal resume keywords

Product Management ExperienceAI/ML Capabilities DevelopmentData-Driven Decision MakingAgile Product DevelopmentExcellent Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Roadmap DevelopmentAI-Driven RecommendationsPredictive ModelingWorkflow AutomationSoftware Product LaunchCustomer Insights AnalysisProduct Specification TranslationSuccess Metrics DefinitionMachine Learning InterpretationBI Tools Familiarity

Soft Skills

CollaborationAnalytical ThinkingPresentation SkillsFeedback ProvisionCustomer Value Proposition Development

Tools & Technologies

JiraAnalytics ToolsUX/UI Design ToolsDocumentation SoftwareTraining Material Development

Industry Keywords

Higher EducationEdTechEnrollment ManagementStudent RetentionFinancial AidInstitutional ResearchSaaS EnvironmentData ScienceCustomer Co-Design ProgramsBeta Testing

About the role

Key responsibilities & impact

Develop and maintain the product roadmap for AI, analytics, and agentic capabilities, including AI-driven recommendations, conversational interfaces, workflow automation, and student- and institution-level insights
Partner with Data Science, Engineering, and client-facing teams to translate predictive and prescriptive model outputs into usable, explainable product features
Gather and analyze customer, market, and user insights to identify needs, validate opportunities, and inform product priorities
Translate business, customer, and technical requirements into clear product specifications and development priorities
Collaborate with UX/UI teams to define requirements and provide feedback throughout the design and development process
Define product success metrics and monitor customer usage, adoption, and usability trends to inform ongoing improvements
Support the development and continuous improvement of processes for bringing AI-powered capabilities from concept through development, validation, and release
Develop customer-facing documentation, release notes, training materials, demonstrations, and other resources to support successful product adoption
Collaborate cross-functionally throughout the product development lifecycle to ensure alignment on priorities, requirements, timelines, and customer value

Requirements

What you’ll need

Bachelor’s degree in Business, Computer Science, Data Science, Engineering, or a related field, or equivalent professional experience
3+ years of Product Management experience, preferably within a data-intensive, analytics-driven, or SaaS environment
Demonstrated experience developing and launching software products or features that incorporate AI/ML capabilities, including AI-driven or agentic workflows
Strong ability to translate complex or ambiguous AI/ML concepts into clear product requirements and compelling customer value propositions
Excellent written and verbal communication skills, including experience presenting and demonstrating products to internal and external audiences
Background in machine learning or predictive modeling strongly preferred, whether through prior data science/analytics experience, an ML-focused product role, or close partnership with Data Science or ML teams
Strong familiarity with modeling concepts and interpreting machine learning model outputs
Higher education or EdTech experience, particularly in enrollment management, student retention, financial aid, or institutional research, preferred
Experience with BI or analytics tools and using data to inform product decisions preferred
Familiarity with Agile product development practices and tools such as Jira
Experience with beta testing or customer co-design programs preferred