AI Product Owner – Dayshift

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Logo of Pear Tree.

Pear Tree.

1 - 10 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Pear Tree is a Melbourne‑born offshore recruitment and hiring services company that connects Australian, US, and UK businesses directly with skilled offshore professionals (primarily from the Philippines) without agency markups. They provide end-to-end hiring support — sourcing, screening, skills assessments, video interviews, reference checks — and offer payroll, Employer‑of‑Record, and compliance assistance plus a six‑month replacement guarantee. Pear Tree recruits across IT, sales & marketing, finance, creative, admin and operations roles, emphasizing cost savings, direct pay to talent, and secure onboarding workflows.

📋 Description

• Support product planning and sprint preparation • Convert product ideas into clear user stories and acceptance criteria • Help maintain roadmap discipline • Coordinate sprint goals, release scope, and delivery status • Work with leadership, developers, QA, and customer-facing teams • Maintain delivery documentation • Prepare release notes and internal enablement material • Capture customer feedback and convert it into structured product inputs • Help ensure work is ready for AI-assisted development • Track delivery risks, dependencies, and blockers • Support weekly sprint cadence and release governance

🎯 Requirements

• Experience in product operations, product management, business analysis, or project delivery • Experience working with software development teams • Strong ability to write clear user stories and acceptance criteria • Strong organisational discipline • Strong communication skills • Ability to manage competing priorities • Understanding of SaaS product delivery • Comfortable working in an AI-first environment • Preferred: CRM, BI, SaaS, or workflow product experience • Preferred: Agile delivery experience • Preferred: Jira or similar delivery tools • Preferred: Product documentation experience • Preferred: Release management experience • Preferred: Customer feedback management experience • Preferred: AI tools for requirements, documentation, planning, and QA preparation • Preferred: Experience supporting early-stage product teams

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