AI Product Manager

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πŸ•’ July 15

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Logo of UFS Tech

UFS Tech

201 - 500 employees

🏦 Banking

πŸ’³ Fintech

πŸ”’ Cybersecurity

πŸ’° $19.9M Venture Round - UFS on 2019-05

Banking β€’ Fintech β€’ Cybersecurity

UFS Tech is a technology and services provider focused on empowering community banks. It delivers core banking and digital banking platforms, payments, cash management, and customer engagement tools alongside managed IT services (private cloud, hosted email, end-user support), cybersecurity offerings (virtual firewall management, vulnerability management, SureProtect/SureWatch), backup and disaster recovery, document imaging and delivery, and advisory services for IT, information security, and regulatory compliance. UFS positions itself as a partner to community banks, offering purpose-built, modular solutions and professional services to help banks operate securely, meet regulatory requirements, and grow customer relationships.

πŸ“‹ Description

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

🎯 Requirements

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

πŸ–οΈ Benefits

β€’ Typical office environment β€’ Up to 20% travel time may be required

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