Product Manager — AI-Driven SaaS Growth

Easystore; Malaysia; Hybrid; MYR 60,000 - 100,000; Full time

Job description

Jumping into the groove at EasyStore means you're diving into a mix of change, complexity, and a bit of uncertainty—plus a dash of chaos. We're cool with that, used to the ups and downs.

But, let's be honest, EasyStore might not be the perfect fit for everyone.

Before you hit that apply button, just check if you're up for:

• Really caring about what you do and making commerce easy for everyone
• Ready for both professional and personal growth
• Keeping up with a quick pace
• Handling ambiguity with resilience and even finding joy in change
• Bringing in your critical thoughts and unique opinions
• Embracing differences and disagreements to move things forward

If you're into a bit of chaos, can crack tough problems, and enjoy a fast-paced growth vibe, then EasyStore could be your kind of spot.

Company background

EasyStore is a commerce platform that helps merchants manage and grow their business across different sales channels.

Our product supports areas such as online store, retail operations, POS, marketplace selling, order management, inventory, payment, logistics, and customer engagement. Our users include business owners, retail teams, operations teams, customer service teams, and merchants selling through multiple channels.

This role is suitable for someone who is interested in SaaS, e-commerce, retail, marketplace operations, and merchant-facing products.

About the role

We are looking for a Product Manager / Product Executive to help organize customer and business needs, write clear product requirements, and work with engineering, design, QA, Support, and business teams to deliver product improvements.

This role needs to understand customer problems, prepare clear requirements, follow through during development, and review product results after launch.

The person should also be comfortable using AI tools to improve daily work, such as summarizing information, drafting documents, identifying missing cases, and preparing internal communication.

Key Responsibilities

1. Understand Customer and Business Problems

• Review customer feedback, Support tickets, Sales feedback, and product usage data
• Understand user problems in their actual workflow
• Identify whether the issue is related to product design, workflow, system performance, user education, or business rules
• Turn vague problems into clear problem statements

2. Prepare Product Requirements

• Write PRDs, user stories, acceptance criteria, release notes, and internal documentation
• Break requirements into MVP and future phases
• Define business rules, use cases, edge cases, and out-of-scope items
• Make requirements clear enough for engineering, QA, design, and business teams to understand

3. Drive Product Execution

• Work with engineering, design, QA, Support, and business teams on product delivery
• Track progress, blockers, risks, and open questions
• Help adjust scope, priority, and delivery phases when time or resources are limited
• Prepare launch-related items such as testing, documentation, internal communication, and release readiness

4. Follow Up After Launch

• Monitor product usage after release
• Collect customer feedback, Support feedback, and relevant data
• Check whether the feature solved the original problem
• Suggest follow-up improvements based on results

5. Use AI to Improve Work Efficiency

• Use AI to summarize customer feedback, meeting notes, and research materials
• Use AI to assist with PRDs, FAQs, release notes, acceptance criteria, and edge cases
• Use AI for competitor research, information summary, and first-draft analysis
• Review and improve AI-generated output before using it

Requirements

You have:

• At least 2 years of experience in product, project management, business analysis, operations, or a related role
• Able to understand user problems and business goals
• Able to write clear requirements, acceptance criteria, and documentation
• Able to work with engineering, design, QA, Support, and business teams
• Basic data awareness; able to use usage data, feedback, Support tickets, or business impact to evaluate product results
• MVP mindset; able to break work into practical phases
• Clear communication; able to explain problems, decisions, risks, and next steps
• Willing to learn new tools and new ways of working
• Experience using AI tools such as ChatGPT, Claude, Gemini, Perplexity, Notion AI, or similar tools
• Able to review AI output before using it

Preferred Qualifications

• Experience in SaaS, e-commerce, retail, POS, marketplace, logistics, payment, or merchant-facing products
• Experience working closely with engineering teams
• Familiar with tools such as Linear, Jira, Notion, Figma, Metabase, Google Analytics, Mixpanel, Amplitude, or similar tools
• Basic understanding of APIs, databases, system workflows, or integrations
• Experience writing PRDs, user flows, process diagrams, wireframes, internal guides, or customer-facing documentation