Technical Product Lead - AI Finance

原始資料於 2026-11-01 查閱；內容可能已更新，請查看原始職位。

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 remote role. We hire globally and work across multiple countries and time zones.
Candidates should be comfortable working effectively in a distributed, fast-moving international team and collaborating with colleagues across different locations.
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. Technical 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.