Product Manager

Role Overview

We’re looking for a Product Manager who can own a product area end-to-end, driving clarity from problem to delivery, and ensuring that what gets built actually creates value.

This role is ideal for someone who is strong in execution and decision-making, and is starting to develop strategic thinking and system awareness.

You will work closely with Engineering, Design, and stakeholders to deliver high-quality product outcomes, while leveraging AI to move faster and think better.

Beyond traditional product work, you are expected to have working knowledge of AI and emerging agentic approaches — understanding how AI tools can be used not just for productivity, but as part of a broader shift in how products are discovered, designed, and delivered.

You don’t need to be deeply technical, but you should be comfortable with:

• Using AI as a second brain for research, synthesis, and decision support
• Understanding the basics of agentic workflows (e.g., chaining tasks, context management, automation)
• Identifying opportunities where AI can improve product experience or internal velocity

This role is part of a broader transition toward an AI-first, agent-enabled product organization, where Product Managers are expected to continuously evolve how work gets done — not just what gets built.

Dutie and Responsibilities:

1. Own Product Delivery (End-to-End)

• Manage and prioritize the product backlog based on impact
• Translate business and user needs into clear product requirements (PRDs, specs, or intents)
• Work closely with Engineering to ensure smooth and efficient delivery
• Proactively identify and resolve blockers

1. Make High-Quality Product Decisions

• Break down ambiguous problems into clear, actionable decisions
• Balance trade-offs across scope, speed, and quality
• Use data, user feedback, and context to guide decisions
• Escalate with recommendations—not just problems

1. Align Stakeholders & Drive Clarity

• Act as the main point of contact for your product area
• Communicate priorities, timelines, and risks clearly
• Ensure alignment across Product, Engineering, Design, and Business teams

1. Drive Product Discovery & Improvement

• Validate ideas through user insights and data
• Continuously refine the backlog based on learnings
• Identify opportunities beyond incoming requests
• Ensure features solve real problems—not just ship

1. Leverage AI to Work Smarter

• Use AI tools to accelerate research, documentation, and analysis
• Improve speed and quality of product outputs
• Apply strong judgment on when to rely on AI vs human decision-making
• Continuously improve your workflow using AI

• Be part of a team transitioning to an AI-first product organization
• Work on high-impact, scalable systems (e.g., HRIS ecosystem)
• Strong focus on growth, ownership, and real product thinking
• Opportunity to evolve into Senior PM and Product Leadership roles

Other Information:

• This is a full-time employment opportunity with a hybrid work arrangement. The position requires reporting to our office in Mandaluyong City twice a week.
• To know more about the company, you may check our website
• Benefits May Include:
• HMO + dependents
• Paid leaves (VL/SL + others)
• Hybrid or flexible work setup
• Learning & development support (including AI upskilling)
• Performance-based bonuses
• 3–6 years of experience in Product Management (or equivalent role)
• Experience working with cross-functional teams (Engineering, Design, Business)
• Strong problem-solving and decision-making skills
• Ability to translate complex problems into clear requirements
• Excellent communication and stakeholder management skills
• Experience working in Agile or similar environments

• Familiarity with AI tools (e.g., ChatGPT, Claude, automation tools) and ability to apply them in day-to-day product work
• Experience working on SaaS, platform, or system-based products (e.g., HRIS, fintech, enterprise tools)
• Ability to write structured product artifacts (PRDs, specs, user stories) with clarity and minimal ambiguity
• Basic data literacy (ability to interpret metrics, validate assumptions, and support decisions with data)
• Certified Scrum Product Owner (CSPO) or equivalent certification (e.g., SAFe Product Owner/Product Manager, Professional Scrum Product Owner), or demonstrated equivalent experience in Agile product environments

Core Competencies:

• Structured Thinking
• Product Judgment
• Execution Discipline
• Clear Communication
• Ownership Mindset
• Adaptability in Ambiguity