Growth Product Manager
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Before you apply
LocationKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentEPOS Global Solutions Sdn Bhd
Company size501–1,000 people
PostedOct 5, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
5+ years in product, growth, data, or RevOps roles in B2B SaaS or a related field
Track record of leading an end-to-end project that delivered commercial results (e.g., pipeline, revenue, conversion, or cost savings), from a product or data angle
Working knowledge of Python: able to prototype, read, and review data pipeline code and direct engineers on it
Experience with data enrichment, entity resolution, and record matching (fuzzy matching, merge rules, survivorship logic) on messy business data
Experience running A/B tests and analysing results with a data-driven approach
Experience with CRM and marketing automation (HubSpot or similar) and with funnel and attribution analytics
Able to work independently and with senior stakeholders across Product, Marketing, Sales, and Engineering
Understanding of Southeast Asian SME markets
Fluent in English and Mandarin
Bahasa Melayu and/or Bahasa Indonesia
TypeScript, Go (Golang), and SQL
Experience with AI chatbots or conversational AI, such as WhatsApp sales or support bots, chatbot evaluation, or conversation quality measurement
Experience with LLM tooling or agentic automation in a commercial setting
Prior experience in F&B, retail, POS, or SME-focused SaaS
Familiarity with WhatsApp Business API, mobile attribution, or GA4
Skills
Python
HubSpot
CRM
marketing automation
SQL
TypeScript
Go (Golang)
AI chatbots
WhatsApp Business API
GA4
Benefits
Flexible benefit allowances
Birthday gift
Medical insurance
About the role
Role Summary
This is an individual contributor role based in Malaysia, supporting operations regionally across Southeast Asia. You own lead generation, data enrichment, and lead prioritisation for the F&B market, leading projects end to end from a product or data angle with clear commercial results. Your secondary focus is using that data to set up and drive AI led engagement campaigns and to enable Marketing and Sales with AI. This is a product and data ownership role, not a handson engineering role: you set the strategy and partner with engineering on the build rather than building and operating everything yourself. Because the work touches engineering, marketing, and sales at once, cross-functional collaboration matters as much as product and data judgment.
Responsibilities
Key Responsibilities
Lead Generation and Data Pipeline
Own the lead data pipeline, including the overall strategy: sourcing, collection, cleaning, enrichment, matching, and deduplication across sources and against existing CRM records
Drive crossfunctional collaboration with Engineering, Marketing, Sales, and Product to deliver, run, and improve the pipeline
Set data quality standards and monitoring, including match rules, refresh cadence, and coverage and accuracy metrics
Deliver clean, prioritised leads into HubSpot and the internal sales CRM, with clear lead and deal attribution
Work with Legal and Compliance to keep data sourcing within applicable data protection laws in each market (such as PDPA) and platform terms
AI Enablement for Marketing and Sales
Use enriched lead data to set up and drive AI-led engagement campaigns, including chatbots and other AI-driven outreach: audience segments, message sequences, triggers, timing, and handoff to Sales
Identify and prioritise opportunities where AI can help Marketing and Sales teams work faster or convert better, and work with engineers to bring them into the teams’ daily workflows
Support localisation across Southeast Asian markets, including language, tone, and channel
Support A/B tests and analyse results (reply rate, qualification rate, conversion to meeting and deal) to improve campaign performance
Requirements
•
5+ years in product, growth, data, or RevOps roles in B2B SaaS or a related field
•
Track record of leading an end-to-end project that delivered commercial results (for example pipeline, revenue, conversion, or cost savings), from a product or data angle
•
Working knowledge of Python: able to prototype, read, and review data pipeline code and direct engineers on it, without needing to build and operate everything yourself
•
Experience with data enrichment, entity resolution, and record matching (fuzzy matching, merge rules, survivorship logic) on messy business data
•
Experience running A/B tests and analysing results with a data-driven approach
•
Experience with CRM and marketing automation (HubSpot or similar) and with funnel and attribution analytics
•
Able to work independently and with senior stakeholders across Product, Marketing, Sales, and Engineering
•
Understanding of Southeast Asian SME markets
•
Fluent in English and Mandarin
Nice to have
Nice to Have
•
Bahasa Melayu and/or Bahasa Indonesia
•
TypeScript, Go (Golang), and SQL
•
Experience with AI chatbots or conversational AI, such as WhatsApp sales or support bots, chatbot evaluation, or conversation quality measurement
•
Experience with LLM tooling or agentic automation in a commercial setting
•
Prior experience in F&B, retail, POS, or SME-focused SaaS
•
Familiarity with WhatsApp Business API, mobile attribution, or GA4
Benefits
💼 Perks of Joining Us
•
📈 Flexi Benefit Allowances
•
🎁 Birthday gift
•
🏥 Medical Insurance