AI Product Manager

This is a fully remote position, open to applicants in Australia.

📋 Description

• Engage weekly with operators, chefs, floor staff, and head office teams in venues to comprehend operational processes.

• Transform customer insights into concise specifications that outline the problem, measurable outcomes, and the financial value for the venue.

• Collaborate with the Head of Product Engineering & AI to prioritize initiatives and eliminate tasks that won’t enhance adoption or revenue.

• Develop prototypes utilizing AI coding and design tools such as Claude Code, Cursor, and Lovable.

• Create evaluations, test sets, and acceptance criteria for AI functionalities, including voice booking, demand forecasting, and anomaly detection.

• Partner with engineers throughout the build, testing, and release phases, ensuring attention to edge cases, data quality, and cross-device compatibility.

• Design primarily for an API- and MCP-first platform, enabling partners and agents to leverage H&L data and forecasts.

• Manage the entire delivery system, incorporating pod and sprint rituals, showcases, release notes, evaluation reviews, and agent change logs.

• Configure and oversee Jira or the chosen delivery tool, managing hierarchy, workflows, dashboards, and leadership roadmaps.

• Facilitate a weekly feedback loop from support tickets, pilot feedback, and sales inquiries into the backlog.

• Automate status updates, release notes, meeting summaries, and backlog maintenance with agents.

• Execute launches comprehensively, covering positioning, demonstrations, pricing pages, onboarding guides, and release communications.

• Recruit and manage design-partner pilots, converting them into first-paying venues and equipping Sales with a consistent pitch.

• Assess adoption and revenue post-launch, providing weekly reports along with subsequent actions.

• Within the first 90 days, deliver a prototype to a live venue, compose and release an AI evaluation set, execute a launch that secures a first-paying venue, and establish Jira delivery rituals.

⛳️ Requirements

• A degree in computer science, engineering, data science, or equivalent experience demonstrated through your projects.

• Preference for candidates with up to three years in product, engineering, data, consulting, or startup environments; strong graduates are also welcome.

• Proven experience in building and launching tangible products, startups, open-source projects, or hackathon entries, with the ability to showcase your work.

• Hospitality experience is a significant advantage but is not mandatory.

• Proficiency in coding with Python or TypeScript.

• Capability to query data using SQL.

• Familiarity with working with APIs.

• Comfort with basic cloud services on AWS or equivalent platforms.

• Experience in configuring a delivery tool like Jira or Linear from the ground up, including managing roadmaps and leadership reports.

• Daily engagement with AI coding tools, with the ability to construct a functional prototype within a day.

• Understanding of large language models, prompts, tool usage, retrieval methods, and agents.

• Skill in evaluating AI systems through assessments.

• Competence in asking customers insightful questions and translating their responses into actionable decisions.

• Ability to quantify value in monetary terms and make data-driven trade-offs.

• Insight into how software and payment businesses generate revenue.

• Strong written communication skills; specifications, demos, and messages should require no revisions.

• Exceptional attention to detail, including reconciling figures, addressing edge cases, and ensuring clean releases.

• A well-reasoned perspective on the future of hospitality and software, with a readiness to adapt views based on new evidence.

🏝️ Benefits

• Work directly with the Head of Product Engineering & AI and the Managing Director on products shaping the company's future.

• Rapid deployment of products to real venues within weeks, impacting over 1,400 venues in Australia and New Zealand.

• Access to the latest AI tools and the autonomy to utilize them.

• Accelerated learning curve during the definition of AI product management.

• Clear pathway to Senior Product Manager, evaluated after 12 months based on role outcomes.

• Competitive salary.