Technical Product Manager

Posted 1ds ago

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Job Description

Technical Product Manager owning regulated fintech product verticals for BJAK’s Southeast Asian neobank superapp. Shaping system design, money movement, compliance gates, and trusted AI delivery.

Responsibilities:

  • Own a product vertical end-to-end, including outcomes, metrics, prioritised backlog, and acceptance criteria
  • Shape technical design with engineering, covering system boundaries, money-movement correctness, third-party rails, failure/retry/refund paths, security, latency, scalability, and recovery
  • Make trade-offs across correctness, speed, cost, reliability, and user experience
  • Treat licensing, CDD/KYC, limits, sanctions/PEP screening, transaction monitoring, data residency, and privacy as core product inputs
  • Apply AI appropriately by defining decision boundaries, human involvement, evaluation, and uncertainty handling
  • Ship feature-complete products behind flags and launch as partner and regulatory gates clear
  • Collaborate across Engineering, Design, Compliance, Operations, Treasury, and Finance/Reconciliation
  • Deliver clear vertical strategy and roadmap, correct money movement, trusted AI features, deliberate trade-offs, and cross-functional alignment

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 consistency under concurrency
  • Comfortable reading, reviewing, and challenging design documents; able to sketch architecture and sequences
  • Technical enough to collaborate without engineers having to simplify
  • Experience in a regulated or high-consequence domain such as payments, banking, remittance, or insurance, or demonstrable fast-ramp ability
  • Understanding of money movement, correctness, irreversible states, and third-party partner constraints
  • Hands-on experience with LLM-based products
  • Ability to define evaluable AI features using offline, online, and human-feedback evaluation
  • Understanding of hallucination, drift, data gaps, data-blocked versus model-blocked cases, and when models must not be used
  • Strong English communication required
  • Engineer or highly technical product-management background, zero-to-one experience, shipped AI-heavy consumer products, ML/LLM evaluation metrics, AI UX and failure-handling intuition, and Southeast Asia market experience are nice to have