Product Manager, AI-Driven Finance Platforms

SEA Singapore

Singapore

On-site

SGD 120,000 - 180,000

Full time

4 days ago

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Job summary

SEA Singapore is embarking on a mission to redefine finance through AI-powered platforms that automate core finance operations across global markets. You will lead the AI transformation roadmap for finance workflows, owning the product lifecycle from scoping to launch while collaborating with AI engineering teams to deliver automated invoicing, reconciliation, and reporting.

You will translate model capabilities into practical product decisions, define success metrics, and drive adoption across

Qualifications

Bachelor's degree in information systems, computer science, technology or equivalent professional experience will be advantageous.
Experience in Product Management (including internships).
Prior exposure to AI, automation, fintech, or finance operations is a plus.
Genuine curiosity about AI and how it can reshape business processes; familiarity with LLMs, AI agents, or automation tools is a strong plus but enthusiasm and willingness to learn matters more.
Strong logical and structured thinking; able to break down complex finance processes and translate them into clear product requirements and AI solution designs.
Excellent communication and cross-functional collaboration skills; comfortable engaging both finance business users and AI/engineering teams.
Self-driven with a strong sense of ownership; comfortable with ambiguity and fast-paced environments; eager to grow alongside an organization actively reshaped by AI.

Responsibilities

Define and drive the AI transformation roadmap for finance workflows across accounts payable, invoicing, reconciliation, and reporting.
Own the product lifecycle for AI-powered finance platforms from scoping to launch and iteration.
Collaborate with AI engineering teams to design and improve AI agents and models for finance use cases; include human-in-the-loop design and exception handling.
Define success metrics for AI-driven finance transformation and use data to drive iterations and business case for AI investment.
Bridge between finance stakeholders and technical teams; manage rollout across regions and ensure change management is handled effectively as AI reshapes workflows.