AI Product Manager

• Spend time weekly in venues with operators, chefs, floor staff and head office teams to understand how work is done
• Turn customer discovery into one-page specifications with the problem, measurable outcome and venue value in dollars
• Prioritise with the Head of Product Engineering & AI and drop work that will not improve adoption or revenue
• Prototype solutions with AI coding and design tools such as Claude Code, Cursor and Lovable
• Write evals, test sets and acceptance criteria for AI features such as voice booking, demand forecasting and anomaly detection
• Work with engineers through build, testing and release, owning edge cases, data quality and cross-device experience
• Design for an API- and MCP-first platform so partners and agents can act on H&L data and forecasts
• Own the end-to-end delivery system, including pod and sprint rituals, showcases, release notes, eval reviews and agent change logs
• Configure and own Jira or the selected delivery tool, including hierarchy, workflows, dashboards and leadership roadmap
• Run the weekly feedback loop from support tickets, pilot feedback and sales requests into the backlog
• Automate status updates, release notes, meeting summaries and backlog hygiene with agents
• Run launches end to end, including positioning, demos, pricing pages, onboarding guides and release communications
• Recruit and run design-partner pilots, convert pilots to first paying venues and provide Sales with a repeatable pitch
• Measure adoption and revenue after launch and report weekly with the next action
• Within the first 90 days, ship a prototype into a live venue, write and release an AI eval set, run a launch that wins a first paying venue, and establish Jira delivery rituals

• A degree in computer science, engineering or data science, or equivalent demonstrated by what you have built
• Up to three years in product, engineering, data, consulting or a startup is preferred; strong graduates considered
• Built and shipped something real, such as a product, startup, open-source project or hackathon entry, and able to demonstrate it
• Hospitality experience counts strongly in your favour but is not required
• Ability to write code in Python or TypeScript
• Ability to query data in SQL
• Experience working with APIs
• Comfortable with cloud basics on AWS or equivalent
• Ability to configure a delivery tool such as Jira or Linear from scratch, including roadmap and leadership reports
• Daily use of AI coding tools and ability to build a working prototype in a day
• Understanding of large language models, prompts, tool use, retrieval and agents
• Ability to test AI systems with evals
• Ability to ask customers the right questions and turn answers into decisions
• Ability to size value in dollars and make evidence-based trade-offs
• Understanding of how software and payments businesses make money
• Clear, brief writing; specs, demos and messages require no rework
• Exceptional attention to detail, including reconciling numbers, covering edge cases and clean releases
• Strong, well-argued view on the direction of hospitality and software, with willingness to change it when evidence changes

• Direct work with the Head of Product Engineering & AI and the Managing Director on products shaping the company
• Products in the hands of real venues within weeks across more than 1,400 venues in Australia and New Zealand
• Latest AI tools and freedom to use them
• Fast learning curve while AI product management is being defined
• Path to Senior Product Manager, reviewed after 12 months against role outcomes
• Competitive salary