Technical Product Lead - AI Investing

Role overview

A Technical Product Lead position owning a full product vertical within an AI-native investing platform spanning payments, remittance, insurance, wealth, and trading. Because the products handle real money, reliability, regulatory compliance, and third-party financial rails are treated as foundational rather than secondary concerns. The team uses AI where it genuinely improves outcomes, while keeping deterministic systems in control for correctness, auditability, and user trust.

Responsibilities

- Owning a product vertical end-to-end, covering 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 that depend on external partners, financial rails, and regulatory approvals - Aligning Engineering, Design, Compliance, Operations, Treasury, and Finance around clear product decisions and launch requirements

Requirements

- 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 the ability to review, challenge, and contribute to technical designs - Background 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 knowing 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

Benefits and work setup

This is a fully remote role with global hiring and collaboration across multiple countries and time zones. Strong English communication is required. The interview process is designed to move quickly through an online assessment, a technical interview, and a final round, often completed within a week for strong candidates.