AI Product Manager

New

H&LHospitality technology

Workable workplace: remote; Workable locations: Australia; Location: AustraliaFull-TimeJunior

Salary not disclosed

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Job Details

Experience: Up to three years in product, engineering, data, consulting or a startup is preferred, and a strong graduate will be considered
Required Skills: AWSPythonSQLProduct ManagementTypeScriptJiraRESTful APIsLLM

Have a degree in computer science, engineering or data science, or equivalent evidence demonstrated through what you have built.
Have built and shipped something real, such as a product, startup, open-source project or hackathon entry, and be able to show it.
Write code in Python or TypeScript and query data in SQL.
Work with APIs and understand cloud basics on AWS or an equivalent platform.
Use AI coding tools daily and be able to build a working prototype in a day.
Understand large language models, prompts, tool use, retrieval and agents, and how to test them with evaluations.
Be able to set up a delivery tool such as Jira or Linear, including a roadmap and reports.
Be able to ask customers questions and turn their answers into product decisions.
Size value in dollars, make evidence-based trade-offs and understand how software and payments businesses make money.
Write clearly and briefly, with specifications, demos and messages that need no rework.
Demonstrate exceptional attention to detail, including reconciling numbers, covering edge cases and delivering clean releases.
Up to three years in product, engineering, data, consulting or a startup is preferred; strong graduates will be considered.

Spend time 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 a problem, measurable outcome and venue value.
Prioritise product work with the Head of Product Engineering & AI based on adoption and revenue.
Prototype solutions with AI coding and design tools before committing engineering time.
Write evaluations, test sets and acceptance criteria for AI features.
Work with engineers through build, test and release, owning edge cases, data quality and device experience.
Own product delivery rituals, release notes, feedback loops and the roadmap and configure Jira or another chosen tool.
Automate product operations tasks such as status updates, release notes, meeting summaries and backlog hygiene.
Run launches, design-partner pilots and onboarding, and help convert pilots into paying venues.
Measure adoption and revenue after launch and report results with the next action.

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