AI Software Lead - Helios at Valsoft Corporation

Beirut, Beirut Governorate, Lebanon -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Product Building, Rapid Prototyping, AI Agents, Customer Discovery, Validation, Problem Framing, Outcome Ownership, Cross-Functional Leadership, Building Software, Iterating, Probabilistic AI Systems, Product Judgment, Prioritization, Communication, Storytelling, Influence

Industry

Financial Services

Description

Aspire Software is looking for a AI Product Software Lead to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio. About the Role : The AI Product 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 Product 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 Product Lead does everything an AI Product Engineer does - plus owns customer discovery, validation, prioritization, and measurable impact. Key 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 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 Core 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

Responsibilities

The AI Product Lead is responsible for identifying, building, validating, and scaling AI-powered product solutions that drive real customer and business outcomes, operating in a hands-on, AI-first manner. This involves building working solutions using AI, engaging directly with customers, and owning the full lifecycle from idea to measurable impact.