The Growth Product Manager owns the roadmap for lead intelligence, data quality, and data-driven acquisition across Southeast Asia. Responsibilities include defining product requirements, partnering with Engineering and Marketing to improve lead prioritisation, and evaluating acquisition experiments. The role requires at least five years of experience in product management, growth, data products, or revenue operations within B2B SaaS, along with technical fluency in Python.
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.
Requirements
· Relevant experience: 5+ years in product management, growth, data products, or revenue operations within B2B SaaS or a related field.
· End-to-end ownership: A track record of leading product or data initiatives from problem definition to delivery, with measurable impact on pipeline, revenue, conversion, or efficiency.
· Practical data expertise: Experience enriching business data, matching records across sources, deduplicating records, and managing data quality trade-offs.
· Technical fluency with Python: Able to explore and validate data, build prototypes, read relevant code, and discuss implementation trade-offs with engineers. You’ll partner with Engineering on production delivery.
· Analytical judgement: Experience defining metrics, running A/B tests, and translating findings into product decisions.
· Commercial systems knowledge: Experience with CRM or marketing automation platforms such as HubSpot, plus funnel measurement and attribution.
· Cross-functional leadership: Able to work independently, make priorities clear, and align technical and commercial stakeholders.
· Regional understanding: Familiarity with Southeast Asian SME markets.
· English and Mandarin fluency: Both are required. Mandarin is essential for collaborating with our Chinese-speaking technology team and managing Chinese-speaking stakeholders.
Useful additional experience
· SQL and practical data analysis.
· AI-powered outreach, conversational AI, or LLM-based workflow automation.
· F&B, retail, point-of-sale, or SME-focused software.
· WhatsApp Business API or similar business messaging platforms.
· Bahasa Melayu and/or Bahasa Indonesia.
What success looks like
A lead intelligence roadmap tied to acquisition priorities; measurable improvements in data quality and coverage; stronger adoption of prioritised leads by Sales; and experiments that show how enriched data improves targeting, qualification, or conversion. Sales feedback and outcomes should consistently inform the next product decisions.
Interested
We’d love to hear about a product or data initiative you’ve owned, the decisions you made, and the commercial results it delivered.
Benefits
Flexible benefit allowances, medical insurance, and a birthday gift.
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