AI Innovation Lead at Valsoft Corporation

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

0.0

Posted On

02 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Ai Innovation, Product Building, Rapid Prototyping, Ai Agents, Customer Discovery, Validation, Prioritization, Outcome Ownership, Cross-Functional Leadership, Probabilistic Ai Systems, Guardrails, Product Judgment, Storytelling, Influence, Ai Product Engineering, Ai Development

Industry

Financial Services

Description

H&L is seeking an AI lead to join our growing team in Australia! About the Organisation – H&L POS – Hospitality & Leisure Point‑of‑Sale Solutions is a leading provider of point-of-sale and integrated business management systems purpose-built for the hospitality and food & beverage markets. With over 30 years of industry experience, H&L develops flexible POS, back-of-house, inventory, workforce and reporting solutions that help hotels, pubs, restaurants, bars, clubs, cafés, liquor stores and events venues run their operations more efficiently and profitably. Its software connects front-of-house sales with stock and data management, supports advanced features like online ordering, table service, bookings and dashboard reporting, and integrates with more than 150 hospitality-focused partners to streamline workflows. H&L’s customer-centric approach and deep sector expertise enable hospitality operators to focus on delivering exceptional guest experiences while maintaining transparency, control and growth across every part of their business. 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 #H&L

Responsibilities

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