AI Product Manager Singapore Experienced (Individual Contributor)

Garena; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Garena in Singapore is seeking an Experienced Product Manager (Individual Contributor) to own AI products end to end, from discovery to production. You will work at the intersection of AI agents, automation, and real business challenges, partnering with engineers, data scientists, and business stakeholders to deliver impactful AI products at scale.

This hands-on role requires prototyping with code or AI tools, direct user feedback, and close collaboration with cross-functional teams to ship,

Qualifications

• 2+ years of full-time product management or startup experience.
• Ability to ship a rough prototype quickly using code, no-code, or AI tools.
• Experience with LLM products or enterprise AI applications.
• Comfort with AI system uncertainties and reliability through fallbacks and human-in-the-loop.
• Strong product sense to turn ambiguity into simple, trustworthy experiences.
• Open-minded, agile, proactive, and eager to learn.
• Strong sense of responsibility and accountability to deliver on time.

Responsibilities

• Own AI products end to end, from discovery to production.
• Identify high-impact opportunities across player-facing systems, workflows, and internal tools.
• Determine technical approaches including prompts, RAG, fine-tuning, model selection, tool calling, latency, and cost.
• Design AI-native experiences such as chat, copilots, human-in-the-loop flows, fallbacks, and feedback loops.
• Prototype in code to create tangible demos before writing specifications for engineering discussions.
• Manage stakeholders across leadership, engineering, and end users to align priorities and drive adoption.
• Work directly with users, observe interactions, and translate learnings into iterations.

Skills

Product management

AI product development

Prototype via code

Stakeholder management

Agile mindset

Learning mindset

Tools

Claude Code

Codex

Job description

Singapore Product Management Experienced (Individual Contributor)

You will work at the intersection of AI agents, automation, and real business challenges. You will partner closely with engineers, data scientists, and business stakeholders to own, shape and deliver impactful AI products at Garena.

These projects span both internal and external products, including AI-powered operational tools, AI-driven agents and game localization platforms, supporting real-time interactions and global users at scale.

This is a hands‑on role. You are expected to write code, prototype your own ideas, and work directly with users to debug issues in real time.

Job Description

• Own AI products end to end, from discovery and scoping to prototyping, shipping, measuring, and iterating in production.
• Identify high‑impact opportunities across player‑facing systems, operational workflows, and internal tools, and decide what is worth building.
• Determine the right technical approach for each problem, whether rules, classical ML, LLMs, agents, or hybrid solutions, and discuss tradeoffs with engineers across prompting, RAG, fine‑tuning, model selection, tool calling, latency, and cost.
• Design AI‑native experiences such as chat, copilots, human‑in‑the‑loop flows, fallbacks, and feedback loops, and define the evaluations that determine whether they work.
• Prototype in code using tools such as Claude Code or Codex, building working demos before writing specifications so that engineering discussions begin with something tangible.
• Manage stakeholders across leadership, engineering, and end users to align priorities and drive adoption.
• Work directly with users, observe how they interact with shipped products, debug issues on the spot, and translate learnings into the next iteration.

Job Requirements

• At least 2 years of full‑time experience in product management, startup, or founder‑like roles, with a track record of taking products from 0 to 1.
• Builder mindset, with a preference for shipping a rough prototype quickly over delivering a polished specification later, and the willingness to use code, no‑code, or AI tools to do it yourself.
• Experience implementing LLM products or enterprise AI applications, with leading product directions through Chat, Copilot, RAG, AI Agents, automated workflows, internal operations tools, or enterprise productivity platforms, covering all processes from PoC to launch or scaled rollout.
• Comfort with the uncertainty of AI systems and the instinct to engineer toward reliability through evaluations, fallbacks, and human‑in‑the‑loop design.
• Strong product sense for turning ambiguity and complexity into simple, trustworthy product experiences.
• Open‑minded, agile, and proactive mindset with a strong willingness to learn.
• Strong sense of responsibility and accountability in delivering quality work on time.