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D2
D2B

AI Product Owner/Head of Product - Dayshift Remote

Salary₱2M – ₱4M
LocationPhilippines
Typefull-time
DepartmentRecOps
Company size201+ people
First seen1w ago
Last seen1d ago
About the role
Position : AI Product Owner/Head of Product
Benefits
Salary : Php 200,000 - 350,000 per month
Working Hours & Conditions : NZ Hours and Holidays
Employment : Independent Contractor
ROLE OVERVIEW:
We are looking for someone who can help turn product vision, customer feedback, and roadmap priorities into clear, delivery-ready work packages for an AI-first product team.
This person should not be a traditional project manager who only tracks tasks. They need to understand product delivery, sprint planning, acceptance criteria, release management, documentation, and how to prepare work so that AI-assisted developers and QA resources can execute effectively.
Responsibilities
RESPONSIBILITIES:
•
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.
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Maintain delivery documentation.
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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.
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Track delivery risks, dependencies, and blockers.
•
Support weekly sprint cadence and release governance.
Requirements
•
Product operations, product management, business analysis, or project delivery experience.
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Experience working with software development teams.
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Strong ability to write clear user stories and acceptance criteria.
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Strong organisational discipline.
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Strong communication skills.
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Ability to manage competing priorities.
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Understanding of SaaS product delivery.
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Comfortable working in an AI-first environment.
Nice to have
Preferred experience
•
CRM, BI, SaaS, or workflow product experience.
•
Agile delivery.
•
Jira or similar delivery tools.
•
Product documentation.
•
Release management.
•
Customer feedback management.
•
AI tools for requirements, documentation, planning, and QA preparation.
•
Experience supporting early-stage product teams.
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