AI Product Manager at EPOS

Kuala Lumpur, Kuala Lumpur, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

0.0

Posted On

02 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, AI, Data Science, Engineering, Design, Product Vision, PRDs, Data Analysis, Hypothesis Validation, UX Design, Experiment Design, Cross-Functional Collaboration, Market Research, User Interviews, Competitor Analysis, NLP

Industry

Financial Services

Description

About EPOS Backed by Ant International (a global leader in digital payments, digitisation, and financial technology solutions), EPOS is a leading Point-of-Sale (POS) digital solutions provider. Supporting Ant International's mission to empower SMEs, EPOS serves as the central hub of its global merchant payment services provider, Antom, delivering integrated O2O digital, payment, and banking solutions to SMEs worldwide—empowering Every Point Of Success in their business growth. With a growing presence across Southeast Asia, we’re looking for passionate individuals to join our diverse and driven teams. Be part of our journey as we expand to create meaningful, impactful changes for businesses around the world. Role Overview We're looking for a Product Manager to support the development, delivery, and adoption of AI-driven capabilities that help merchants increase revenue, reduce costs, and delight their customers. You will work at the intersection of data science, engineering, and design to build intelligent, practical features that translate measurable business outcomes for small business owners. The ideal candidate combines strong product judgment with technical fluency in AI, and has a deep commitment to understanding the real-world challenges of small business owners. You don't just build features—you solve problems. If you're excited about shaping the future of commerce for small businesses, we'd love to speak with you. Key Responsibilities Product Execution: Drive end-to-end product lifecycle, from problem discovery and strategy to execution, launch, and iteration. This includes defining product vision, writing high-quality PRDs and technical specifications, aligning stakeholders, and ensuring timely delivery. Data Analysis & Insights: Leverage merchant data to identify opportunities, validate hypotheses, and prioritize initiatives based on measurable impact. A strong emphasis will be placed on outcome-driven development, where success is defined not by feature release but by adoption, performance improvement, and business results. Design User-Centric Experiences: Collaborate closely with UX designers to craft intuitive, trustworthy AI experiences that encourage adoption and build merchant growth. Translating complex AI capabilities into simple, usable workflows will be central to your role. Measure Success: Define and track clear success metrics, design experiments, and continuously iterate based on real-world usage and performance data. Drive Cross-Functional Collaboration: Work seamlessly with engineering, data science, design, and go-to-market teams to ensure alignment and successful feature delivery. Stay Ahead of the Curve: Conduct ongoing market research, user interviews and competitor analysis to ensure our AI capabilities remain differentiated, forward-looking, and aligned with evolving SME needs. Communicate Impact: Regularly share product updates, learnings, and results with internal stakeholders and merchants. What We’re Looking For 3–5 years of product management experience or related technical role. Bachelor's degree or above in Computer Science, Data Science, Business Analytics, or related fields Strong technical understanding of ML/AI concepts, particularly in NLP and LLMs Excellence in written and verbal communication, with the ability to translate technical concepts for various audiences Strong analytical and problem-solving skills with data-driven decision making Experience working with technical teams and managing complex stakeholder relationships Nice-to-Have - MBA or advanced degree in a related field. - Hands-on experience in building AI applications - Experience in retail, restaurant, or e-commerce domains - Track record of innovation and zero-to-one product development

Responsibilities

The Product Manager will drive the end-to-end product lifecycle for AI-driven capabilities, focusing on defining vision, writing specifications, and ensuring timely delivery. Key duties include leveraging merchant data for insights, designing user-centric AI experiences, and defining clear success metrics.