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Product Manager

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Onsite

Product Manager

ASIA PROPERTIES & ASSETS CONSULTANCY PTE. LTD.

Product Manager

Skills

Testing & QAAIProduct ManagerSupply ChainCompliance

1 month ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

21 September 2026

What they need


What you'lldo

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 andedge-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'relooking for

4+ years in B2B or enterprise product, with end-to-enddelivery 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

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