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. 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. AI-First Product Building Build working product solutions using AI as the primary execution medium Use AI agents for requirements analysis, design exploration, implementation,



and testing 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 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 Work closely with AI Product Engineers and AI Developers within AI Pods Align engineering, design, and data efforts around outcomes Strong ability to build working software using AI tools Deep understanding of probabilistic AI systems and guardrails Experience engaging directly with customers Ability to explain complex AI behavior clearly and honestly Competitive salary and bonus structure based on performance. Health insurance, 401(k) with company match, and paid time off.

Opportunities for career development and career advancement. #

📌 AI Product Lead (Toronto)
🏢 Valsoft
📍 Toronto