- Location
- Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia · published
- Workplace
- Onsite
- Department
- IT
- Seniority
- Manager
- Source
- Workable
Description
Data and AI
EPOS, a brand of Ant International
Kuala Lumpur, Malaysia | On-site | Southeast Asia regional scope
Reports to Head of Commercial AI | Individual contributor
About EPOS
Our main product, EPOS360, brings point of sale, payments, online selling, loyalty, and AI-powered business insights into one merchant platform. We help restaurants, cafés, retailers, and other small businesses simplify daily operations and find opportunities to grow.
The opportunity
Help more businesses discover EPOS360. We’re looking for a data-focused Growth Product Manager to improve how we identify prospective customers, understand their needs, and prioritise the strongest sales opportunities across Southeast Asia, with a focus on food and beverage businesses.
You’ll own the roadmap for lead intelligence, turning fragmented business data into reliable, enriched, and prioritised leads. That foundation will power more targeted AI engagement and better acquisition decisions. You’ll set priorities, define requirements, and measure commercial outcomes, partnering with Engineering on implementation and Marketing and Sales on adoption.
Why join us
· Commercial impact: Connect your product decisions to lead quality, sales pipeline, and conversion.
· End-to-end ownership: Shape the approach and lead initiatives from discovery through launch and improvement.
· Regional scope: Solve data and acquisition challenges across markets with different languages, channels, and business needs.
What you’ll own
Lead intelligence and data quality
· Define the roadmap for lead sourcing, enrichment, matching, and prioritisation, informed by Marketing and Sales needs.
· Partner with Engineering to combine sources, resolve duplicate business records, and improve data coverage, accuracy, completeness, and freshness.
· Deliver actionable leads into HubSpot and our internal sales CRM, with clear attribution and feedback on lead quality.
· Work with Legal and Compliance on responsible data sourcing and use across markets.
Data driven acquisition and AI engagement
· Turn enriched business data into audience segments and targeting strategies, adapting them to local markets.
· Partner with Marketing and Sales on AI-powered outreach, messaging sequences, triggers, and handoffs to Sales.
· Prioritise opportunities where better data and AI can improve qualification, reduce manual work, or increase conversion.
Product delivery and experimentation
· Translate business problems into product requirements and success measures. Align Engineering, Marketing, and Sales on priorities, dependencies, and delivery.
· Design and evaluate experiments across lead prioritisation, targeting, and engagement.
· Track performance from lead quality and qualification through meetings, sales pipeline, and deals. Use results to refine the roadmap and explain decisions to stakeholders.