AI Product Manager
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📋 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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