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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing complex technical products with a focus on system design, regulatory compliance, and AI integration. Capable of making strategic trade-offs while collaborating across engineering, compliance, and operations teams.
Highest-signal resume keywords
End-To-End Product OwnershipSystem Design ExpertiseRegulated Domain ExperienceAI Product ManagementStrong Judgement Under Ambiguity
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
System DesignAPI DevelopmentData Residency ComplianceTransaction MonitoringKYC/AML RegulationsFeature Evaluation MetricsIdempotencyScalabilityConcurrency ConsistencyArchitecture Sketching
Soft Skills
DecisivenessJudgementCollaborationCommunicationProblem-Solving
Tools & Technologies
LLM-Based ProductsData StoresQueues/WorkflowsDesign DocumentationFeature Flags
Industry Keywords
PaymentsBankingRemittanceInsuranceComplianceRisk ManagementData PrivacyOperational RealityUser ExperienceAI Integration
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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
- 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
- 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)
- 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.
Benefits
Comp & perks- English is our main working language across global teams. Strong English communication is required.
