Technical Product Manager

• Product leadership - significant experience owning a complex technical product end-to-end; strong judgement and decisiveness under ambiguity; ability to balance ambition against technical, regulatory and operational reality; can hold their own with senior engineers.

• Technical foundation - solid system design (boundaries, datastores, queues/workflows, APIs, failure modes, consistency under concurrency); comfort reading, reviewing and challenging design docs; can sketch an architecture and a sequence. No production code, but technical enough that engineers don't have to simplify.

• Domain - experience in a regulated / high-consequence domain (payments, banking, remittance, insurance,...) or demonstrable fast-ramp ability; understands why money movement is different (correctness over convenience, irreversible states, partners you don't control).

• AI judgement - hands-on with LLM-based products; can frame a feature as eval-able (offline, online, human feedback); realistic on hallucination/drift/data gaps, including data-blocked vs model-blocked and when a model must not be in the loop at all.

• Nice to have - engineer or highly-technical-PM background · zero-to-one · shipped AI-heavy consumer products · defined eval metrics for ML/LLM systems · AI UX + failure-handling intuition · SEA market experience.

English is our main working language across global teams. Strong English communication is required.

BJAK is building a Neobank Superapp for Southeast Asia. As a Technical Product Manager, you'll own a product vertical end to end-such as payments and expense management, remittance, insurance, or wealth and trading-from strategy, outcomes, and roadmap through to the technical design and delivery of the systems behind it.

This is a product where real money moves, mistakes are immediately visible, and licensing, compliance, and third-party rails are core product constraints-not considerations around the edges.

We are AI-native by default, but AI is a means, not the goal. The bar is knowing where a model can genuinely improve an outcome, where deterministic systems must remain in control, and how to build products that are reliable, auditable, and trusted when money is involved.

• Own a vertical end-to-end - outcomes and metrics, a backlog prioritised by value / risk / dependency / strategic priority, acceptance criteria crisp enough to build and test against.

• Shape the technical design with engineering - system boundaries, money-movement correctness (idempotency, ledgering, reconciliation), third-party-rail reliance and rail-down behaviour, failure/retry/refund paths, security, latency, scalability, recovery.

• Make hard trade-offs across correctness, speed, cost, reliability and UX - and defend them to an engineering, compliance or ops lead who pushes back.

• Treat regulated constraints as first-class product inputs - licensing scope, CDD/KYC and limits, sanctions/PEP screening, transaction monitoring, data residency and privacy. Know which are hard launch gates and which are forward-readiness.

• Apply AI where it earns its place - define what it's allowed to decide, where a human stays in the loop, how it's evaluated, and what it does when unsure. Every AI-surfaced number traces back to a real record.

• Ship against external gates - build feature-complete behind flags; go live per rail as each partner and regulatory gate clears.

• Work across Engineering, Design, Compliance, Operations, Treasury and Finance/Reconciliation.

This role is remote, but candidates must be based in Spain. We are hiring specifically for this market, so applicants should already be based in Spain.

• Clear vertical strategy and legible roadmap

• Ships fast and clears the gates that actually block launch

• Money is correct and users are never misled about the state of their funds

• AI features are valuable, predictable and trusted

• Trade-offs made deliberately under uncertainty and hold up when challenged

• Engineering, design, compliance, and operations are aligned with minimal friction