Why you should join Gogolook
1.
Influential products: What we make are meaningful products that create values for society and defend against frauds.
2.
Emphasize self-growth: We encourage technical community activities, subsidize tickets for conferences and workshops so that learning is continuously supported by the company.
3.
Unleash your talent: We respect the professional opinions of everyone, encourage team members to discuss with each other, and make awesome products together.
4.
Transparent culture: We publicly share the company’s information to all, every member can read and feedback, and become a part of participating in the proposal.
Gogolook is the team behind Whoscall. Widely used across Taiwan, Whoscall has become a household anti-scam app that helps millions of people identify suspicious calls and scam risk every day.
Beyond our consumer products, we also provide anti-scam and risk management solutions for enterprises and governments — helping them proactively detect impersonation, reduce scam exposure, and protect their brand and reputation. These capabilities are already deployed across financial services, e-commerce, and retail, and continue to expand into overseas markets such as Japan and Thailand.
As our overseas markets and customer base grow, we need someone who can carry both product development and project management: someone on the front line who turns the needs of customers and our BD teams around the world into a clear product roadmap and releases that ship on time.
The role splits roughly evenly between two halves:
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50% product development: Gather requirements directly from customers and BD teams across markets, judge priority and feasibility, and translate them into a clear product roadmap and PRDs.
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50% project management: Drive delivery together with RD, QA, and the AI team — owning schedule, risk, and delivery quality.
You will be the bridge between customers / BD and the engineering team, and you need to speak both languages fluently. This is not a “take requirements, write specs” role — we expect you to care about scam detection itself, and to keep asking whether there is a better way to do it.