AI Product Manager

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Logo of UFS Tech

UFS Tech

51 - 200 employees

Founded 1991

🔒 Cybersecurity

💳 Fintech

💰 $19.9M Venture Round on 2019-05

Cybersecurity • IT Services • Fintech

UFS Tech is the Technology Outfitter for Community Banks, providing tailored technology solutions and IT managed services that empower community banks to compete effectively with larger national banks. With over 30 years of expertise, UFS Tech focuses on cybersecurity, virtual firewall management, core banking, digital banking, and compliance solutions to help banks manage their technology needs efficiently and securely. The company is committed to collaboration, innovation, and delivering purpose-built solutions tailored to the unique requirements of community banks.

📋 Description

• 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

• 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

• 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

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