Technical Product Manager
Posted 1ds ago
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Job Description
Technical Product Manager owning regulated financial product verticals for BJAK’s Southeast Asian neobank superapp. Shaping systems, AI features, compliance gates, and money-movement reliability.
Responsibilities:
- Own a product vertical end-to-end, including outcomes, metrics, prioritised backlog, and acceptance criteria
- Shape technical design with engineering across system boundaries, money movement, third-party rails, failure handling, security, latency, scalability, and recovery
- Make trade-offs across correctness, speed, cost, reliability, and user experience
- Treat licensing, compliance, KYC/CDD, screening, transaction monitoring, data residency, and privacy as core product inputs
- Apply AI appropriately, defining decision boundaries, human oversight, evaluation, and uncertainty handling
- Ship features behind flags and launch as partner and regulatory gates clear
- Collaborate across Engineering, Design, Compliance, Operations, Treasury, and Finance/Reconciliation
Requirements:
- Significant experience owning a complex technical product end-to-end
- Strong judgement and decisiveness under ambiguity
- Ability to balance product ambition with technical, regulatory, and operational realities
- Ability to engage effectively with senior engineers
- Solid system design knowledge, including boundaries, datastores, queues/workflows, APIs, failure modes, and concurrency consistency
- Comfortable reading, reviewing, and challenging design documents
- Able to sketch architecture and sequences without needing to write production code
- Experience in a regulated or high-consequence domain such as payments, banking, remittance, or insurance, or demonstrable ability to ramp quickly
- Understanding of money movement, correctness, irreversible states, and external partner dependencies
- Hands-on experience with LLM-based products
- Ability to define evaluable AI features using offline, online, and human-feedback evaluation
- Realistic understanding of hallucination, drift, data gaps, and when models should not be used
- Strong English communication required











