AI Product Manager

UFS Tech

AI Product Manager transforming banker needs into AI product solutions in a community banking context. Driving product accuracy and fostering relationships with design partners for sustainable growth.

Posted 7/16/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management for AI-enabled banking solutions, focusing on lifecycle management, market analysis, and stakeholder engagement. Proficient in translating complex workflows into actionable product roadmaps while ensuring compliance in regulated environments.

Highest-signal resume keywords

Product ManagementAI/ML FeaturesData Analytics ProductsStakeholder ManagementMarket Trends Research

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Lifecycle ManagementSemantic ModelingMetrics DefinitionSystems IntegrationCompetitive Analysis

Soft Skills

Written CommunicationCross-Functional Collaboration

Industry Keywords

Regulated IndustriesEnterprise SoftwareB2B SoftwareSecurity-Gated Sales CyclesDesign-Partner Engagement

About the role

Key responsibilities & impact

Run discovery with design-partner banks and translate real workflows into the semantic and metric model and the product roadmap
Define and maintain the golden-question set — the verified questions and answers that gate every release
Prioritize early delivery, managing trade-offs between speed, accuracy, and security in an on-premises, regulated-institution context
Own the AI product narrative for bankers and for procurement and security stakeholders
Partner with design and engineering and facilitate cross-functional teams on a banker-friendly experience, scope and sequencing, and product enablement, including piloting with clients
Manage the product lifecycle for AI-enabled banking solutions — systems integration, analytics, roadmap planning, and product collateral and positioning for new and existing products
Research market trends and conduct competitive analysis to inform product positioning, objectives, and roadmap priorities
Partner with vendors and third-party strategic partners to support new and existing product initiatives
Define success metrics and instrument product adoption

Requirements

What you’ll need

7–12+ years in product management, including enterprise or B2B software shipped to demanding customers in regulated industries
Experience with data or analytics products (metrics, semantic modeling), and ideally AI/ML features
Demonstrated success with design-partner and early-customer motions and security-gated enterprise sales cycles
Strong written communication and stakeholder management

Benefits

Comp & perks

7–12+ years in product management, including enterprise or B2B software shipped to demanding customers in regulated industries
Experience with data or analytics products (metrics, semantic modeling), and ideally AI/ML features
Demonstrated success with design-partner and early-customer motions and security-gated enterprise sales cycles
Strong written communication and stakeholder management