KYC Product Manager

Gate; Hong Kong; Remote; HKD 900,000 - 1,200,000; Full time

Job summary

Gate, a leading crypto exchange with 60M+ users, is hiring a Verification Product Lead in Hong Kong. You will own the end-to-end verification journey—from submission to approved accounts—across identity checks, liveness, and address verification in a fast-moving, globally distributed team.

You will translate jurisdictional rules into product requirements, design risk-aware decisioning, and drive cross-functional alignment across compliance, risk, engineering and operations to ship scalable

Qualifications

• Has owned KYC or AML product end-to-end in production at a crypto exchange or cross-border fintech.
• Reads regulatory text and translates it into product rules without waiting for legal translation.
• Has designed risk and fraud decisioning into a live user flow with pass rate considerations.
• Drives compliance, risk, engineering and operations to a single decision and a deadline.

Responsibilities

• Own the verification journey end-to-end, from first submission to approved account, across identity, liveness and address checks
• Turn jurisdiction rules into product requirements to enable new markets
• Design risk and fraud judgement into the flow itself, so decisions happen where the user is
• Set priorities against pass rate, review time and manual-review rate, and defend trade-offs
• Hold compliance, risk, engineering and operations to a single roadmap with clear dates

Skills

KYC/AML product ownership

Regulatory text to product rules

Risk and fraud decisioning

Cross-functional leadership

Job description

Regulation reader. Fraud designer. Conversion-minded. Owns the date.

About Gate

Founded in 2013, Gate is one of the world’s earliest and most trusted cryptocurrency exchanges, serving over 60 million users globally. Ranked among the top three exchanges worldwide, Gate supports spot, futures, and margin trading alongside wealth management products across 4,600+ cryptocurrencies. With thousands of employees across key global markets — most working fully remotely — Gate is building the financial infrastructure of the next era of the internet. We hire people who move fast, think independently, and want real ownership of their work.

Why this role

Verification is the first thing every Gate user meets and the line between the platform and the people who should never be on it. You’ll own that product end-to-end — who gets through, how fast, and on what evidence — across markets whose rules contradict each other. Done well, it opens jurisdictions Gate cannot serve today without loosening a single control. In 12 to 24 months you’ll have shipped a verification product at real scale, and you’ll be one of the few people who can argue it from the regulatory side and the conversion side at once.

What you’ll do

• Own the verification journey end-to-end, from first submission to approved account, across identity, liveness and address checks
• Turn the rules of each jurisdiction into product requirements engineering can build, and deliver the verification capability new markets need to open
• Design risk and fraud judgement into the flow itself, so decisions happen where the user is, not after
• Set priorities against pass rate, review time and manual-review rate, and defend the trade-offs between them
• Hold compliance, risk, engineering and operations to one roadmap, and own the dates on it

What you’ll bring

• Has owned KYC or AML product end-to-end in production at a crypto exchange or a cross-border fintech, through launch and the iterations after it
• Reads regulatory text and turns it into product rules without waiting for legal to translate it first
• Has designed risk and fraud decisioning into a live user flow and tuned it against pass rate and review cost, rather than reviewing it from the outside
• Drives compliance, risk, engineering and operations to a single decision and a date when they disagree

Bonus

• Has launched verification in several jurisdictions whose requirements contradicted each other
• Has put machine learning into a live identity or fraud decision and knows where it stopped earning its cost