Technical Product Manager - AI Stockbroking Application

About KIRA

KIRA's mission is to democratize smart, reliable money management. Since launching the first mobile-focused insurance platform in Southeast Asia in 2019, which has become the region's leader, KIRA is now expanding its financial services to include payments, saving, investing, remittance, travel, and more. Their goal is to empower users to optimize their finances confidently and independently, leveraging AI as a transformative tool.

Role Overview

We are seeking a Technical Product Manager to oversee one of KIRA's AI-powered stockbroking product verticals within a superapp for Southeast Asia. This role demands ownership throughout from product strategy through technical design to delivery and launch. The products handle real money and must satisfy strict reliability, regulatory, and third-party integration standards. Approaches to AI integration must be judicious, ensuring reliability, auditability, and user trust without compromising deterministic controls.

Key Responsibilities

• Lead a product vertical end-to-end including defining strategy, metrics, roadmaps, priorities, and delivery schedules.
• Collaborate closely with engineers on technical architecture covering APIs, data pipelines, ledgering, reconciliation, failure recovery, security, and scalability.
• Balance decisions involving accuracy, speed, cost efficiency, dependability, regulatory compliance, and user experience.
• Incorporate regulatory constraints such as KYC, transaction monitoring, limits, privacy, and licensing throughout the product development lifecycle.
• Leverage AI judiciously where it enhances outcomes, ensuring evaluation frameworks, safeguards, human oversight, and fail-safe mechanisms are in place.
• Manage product launches considering external dependencies including regulatory approvals, financial infrastructure, and third-party vendors.
• Facilitate alignment among Engineering, Design, Compliance, Operations, Treasury, and Finance on product choices and launch criteria.

Requirements

• Minimum 5 years of product management expertise handling complex technical products from early strategy through production deployment.
• Robust technical knowledge of system architecture, APIs, databases, workflows, failure handling, and distributed systems.
• Proven experience partnering with engineering teams, capable of scrutinizing and contributing to technical design discussions.
• Background in regulated, high-stakes domains such as payments, banking, remittance, insurance, or trading.
• Exceptional product judgment with a capacity to navigate difficult trade-offs amidst technical, regulatory, and operational constraints.
• Experience creating or managing AI-driven products, including working with LLMs, with a clear understanding of AI evaluation, reliability, and appropriate use cases.

Preferred Qualifications

• An engineering or highly technical product management background.
• Experience bringing fintech or consumer products from concept to launch.
• Expertise in defining evaluation frameworks for machine learning or LLM-enhanced products.

Expected Outcomes

• Clearly articulated vertical strategy and transparent roadmap.
• Rapid product delivery and resolution of launch impediments.
• Financial accuracy ensuring users have a truthful view of their funds.
• AI capabilities that deliver consistent value, predictability, and trustworthiness.
• Deliberate decision-making especially amid uncertainty that withstands scrutiny.
• Cross-functional cohesion across engineering, design, compliance, and operations with minimal friction.

Location and Language

This position is fully remote with global hiring across multiple time zones. Candidates should be adept at operating effectively within a distributed international team. Proficiency in English for clear communication is essential.

Recruitment Process

• Initial online assessment or practical task.
• Role-specific interview stage.
• Final interview with the CEO.

The hiring process strives for expediency, aiming to extend offers within one week of initiation, prioritizing candidates who promptly complete assessments.