AI Innovation Lead

H&L is seeking an AI lead to join our growing team in Australia!

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.

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.

·       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

·       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

·       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

·       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

·       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

·       Not a backlog or roadmap-only role

·       Not a handoff-based product manager

·       Not a requirements writer detached from execution

·       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

·       Experience engaging directly with customers

·       Ability to identify business and revenue opportunities

·       Strong product judgment and taste

·       Comfort prioritizing under uncertainty

·       Ability to explain complex AI behavior clearly and honestly

·       Strong storytelling grounded in real system behavior

·       Comfortable leading through influence rather than authority

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