Valsoft Corporation
AI Product Lead
About this role
Role Overview The AI Lead is responsible for identifying, building, validating, and scaling AI-powered product solutions that drive real customer and business outcomes. This role is hands-on and AI-first. An AI Lead does not operate through documents, tickets, or handoffs. They build working solutions using AI, engage directly with customers, and iterate rapidly based on real-world feedback. The AI Lead does everything an AI Product Engineer does - plus owns customer discovery, validation, prioritization, and measurable impact. About Us Dockmaster is a leading provider of innovative marina software solutions, dedicated to equipping our customers with the tools that streamline operations, improve operational efficiency while driving revenue growth. Our largest customer concentration is in North America but are quickly expanding to have a global presence. Core Responsibilities AI-First Product Building
- Build working product solutions using AI as the primary execution medium
- Rapidly prototype, iterate, and refine solutions to validate ideas early
- Use AI agents for requirements analysis, design exploration, implementation, and testing
- Move from problem understanding to working solution without reliance on legacy SDLC rituals Customer Discovery & Engagement
- Engage directly with customers to understand workflows, pain points, and unmet needs
- Use live demos and working prototypes to drive customer conversations
- Validate solutions through real usage, not assumptions or opinions
- Build trust by clearly explaining AI behaviour, limitations, and tradeoffs Problem Framing & Opportunity Identification
- Frame problems clearly and precisely before execution
- Identify new AI-powered solution opportunities and revenue potential
- Evaluate ideas based on impact, feasibility, and learning velocity
- Use experimentation to discard weak ideas quickly Outcome Ownership
- Define success in terms of adoption, retention, efficiency, and revenue impact
- Prioritize initiatives based on outcomes, not feature volume
- Continuously assess whether solutions are creating real value
- Own the full lifecycle from idea to impact Cross-Functional Leadership
- Work closely with AI Product Engineers and AI Developers within AI Pods
- Align engineering, design, and data efforts around outcomes
- Communicate clearly with internal stakeholders