Technical Product Manager - AI Neobank App

About Doit

We are focused on reinventing how people spend, save, invest, exchange, travel, and more. Our objective is to build tools that will help people get more from their money and become an expert at ease. We believe AI will help make finance smart, assessible and safe.

We are looking for the most talented and driven people we can find. We are looking for people who work for their passion, not counting hours. Who loves building great next-generation products, not status quo. Who cares about redefining how everyone around us can get the best financial applications, not for an exclusive few. We have teams working around the world, with over 20 nationalities and growing from our offices and remotely. Join us and build a better future for our society.

In 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region. Today, it's the leading insurance platform in Southeast Asia.

The Role

Doit is building an AI Neobank Superapp for Southeast Asia across payments, remittance, insurance, wealth, and trading.

These products move real money. Reliability, regulatory requirements, and third-party financial rails are fundamental to the product - not considerations around the edges.

The Technical Product Manager owns a product vertical end-to-end, from strategy and outcomes through technical design, delivery, and launch.

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

What You'll Own

• Owning a product vertical end-to-end, including strategy, metrics, roadmap, priorities and delivery.
• Shaping technical design with engineering across APIs, data flows, ledgering, reconciliation, failure handling, security and scalability.
• Driving trade-offs across correctness, speed, cost, reliability, regulatory requirements and user experience.
• Building regulatory requirements into the product across KYC, transaction monitoring, limits, privacy and licensing.
• Applying AI where it improves outcomes, with clear evaluation, safeguards, human oversight and failure handling.
• Shipping products around external dependencies, including regulatory approvals, financial rails and third-party partners.
• Aligning Engineering, Design, Compliance, Operations, Treasury and Finance around clear product decisions and launch requirements.

What We're Looking For

• 5+ years of product management experience, including ownership of complex technical products from strategy through production.
• Strong technical foundation across system architecture, APIs, databases, workflows, failure modes and distributed systems.
• Experience working closely with engineers and ability to review, challenge and contribute to technical designs.
• Experience in payments, banking, remittance, insurance, trading or another regulated, high-consequence product domain.
• Strong product judgment and ability to make difficult trade-offs under technical, regulatory and operational constraints.
• Experience building with LLMs or AI products, including evaluation, reliability and understanding when AI should not be used.

Nice to have

• Engineering or highly technical product background.
• Experience building zero-to-one fintech or consumer products.
• Experience defining evaluation frameworks for ML or LLM-powered products.

Outcome

• 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

Location

This is a hybrid role. You are expected to work from our local office at least 3 days per week, with the remaining days offering flexibility to work remotely.

Candidates should be based in, or able to work from, the location where the role is advertised.

Language

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

Interview Process

Our process is designed to move fast:

1. Online assessment or practical task
2. Role-specific interview
3. CEO / final round

For strong candidates, we aim to complete the process and make an offer within 1 week from the start of the interview process. Candidates who complete assessments quickly will be prioritized.