AI Lead at Valsoft Corporation
Montreal, Quebec, Canada -
Full Time


Start Date

Immediate

Expiry Date

24 May, 26

Salary

0.0

Posted On

23 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

AI-Powered Product Solutions, Rapid Prototyping, Customer Discovery, Validation, Prioritization, AI Agents, Product Building, Customer Engagement, Problem Framing, Outcome Ownership, Cross-Functional Leadership, Probabilistic AI Systems, Product Judgment, Storytelling, Influence, AI Product Engineering

Industry

Financial Services

Description
Aspire Software is seeking an AI lead to join our growing team in the Canada! About the Organisation – Aspire Software, an operating group of Valsoft Corporation, acquires, builds, and grows vertical market software companies around the world. Each brand operates with entrepreneurial autonomy while benefiting from shared expertise, leadership, and collaboration across our global portfolio. 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. Core ResponsibilitiesAI-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 behavior, 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 · Represent the product externally with credibility and clarity What This Role Is Not · Not a backlog or roadmap-only role · Not a handoff-based product manager · Not a requirements writer detached from execution Required Skills & ExperienceCore Capabilities · Strong ability to build working software using AI tools · Proven experience rapidly prototyping and iterating on product ideas · Deep understanding of probabilistic AI systems and guardrails · Ability to reason about systems end-to-end Product & Business Acumen · Experience engaging directly with customers · Ability to identify business and revenue opportunities · Strong product judgment and taste · Comfort prioritizing under uncertainty Communication & Leadership · Ability to explain complex AI behavior clearly and honestly · Strong storytelling grounded in real system behavior · Comfortable leading through influence rather than authority #AspireSoftware
Responsibilities
The AI Lead is responsible for identifying, building, validating, and scaling AI-powered product solutions that deliver measurable customer and business outcomes, operating in a hands-on, AI-first manner. Core duties include building working solutions using AI, engaging directly with customers for discovery and validation, framing problems, and owning the impact of the solutions.
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