Product Manager
Summary
Product Manager who leads discovery with finance, operations and audit stakeholders and turns messy business inputs into PRDs, prototypes and rule-based product logic for a B2B platform. Owns the full lifecycle end to end — design, AI/automation workflows, permissions, metrics, UAT and post-launch review.
Salary: $10,000 – $12,000 per month
What you'll do
Discovery and definition — Lead discovery interviews with finance, on-site managers, operations and audit. Reconstruct how the business actually works from meeting transcripts, legacy spreadsheets and undocumented habits, and get to what users genuinely need underneath what they ask for.
Rule modelling and product design — Turn that into core product logic: PRDs, prototypes, decision tables, state machines and edge-case inventories. Own it end to end, from PRD through to release acceptance.
Cross-functional workflows and permissions — Design how modules and roles hand off to one another, and define the permission model and accountability boundaries that go with it.
AI and automation — Define where AI belongs in the system, and design the workflows and human-in-the-loop mechanics around it.
Delivery and governance — Take part in requirement reviews and close out challenges from engineering, QA and the business. Define instrumentation and success metrics, and own UAT and the post-launch review.
What we're looking for
4+ years in B2B or enterprise product, with end-to-end delivery in a rule-dense vertical — finance, ERP, insurance claims, supply chain, logistics billing, healthcare claims, risk or govtech
Strong discovery instincts — you can reconstruct the truth of a business from messy interviews, old spreadsheets and unwritten habits, and you can tell a user's proposed solution apart from their actual problem
A fast learner — you get to the underlying logic of an unfamiliar domain quickly
A working sense for data integrity and compliance
Nice to have
Background in finance systems or accounting platforms
Familiarity with Singapore property management, real estate, or strata / MCST
Experience shipping an MVP on a tight timeline
Experience taking AI features to production
Experience integrating IoT or device data