Product Manager

🔥 0 minutes ago

🌐 Singapore, Hong Kong, +1 more countries – Remote

🇸🇬 Singapore – Remote 🇭🇰 Hong Kong – Remote 🇲🇾 Malaysia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hupo

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

🛡️ Insurance

Artificial Intelligence • SaaS • Insurance

Hupo is an AI-first company (founded in 2022) that builds a full-stack, software platform to coach and upskill frontline financial advisors and insurance distributors. Using AI to restore confidence, accelerate learning, and improve sales performance, Hupo targets Wealth & Insurance distribution and sells enterprise-grade coaching and productivity tools designed to reduce early rep churn and accelerate mastery. The company emphasizes remote, high-autonomy culture and positions its product as an AI-powered engine for enterprise clients in financial services and insurance distribution.

📋 Description

• Own the product engine end to end, including roadmap, prioritisation, OKRs, and outcomes • Engage deeply with enterprise BFSI customers to understand workflows and compliance constraints • Translate customer workflows and constraints into products customers rely on daily • Lead a squad of engineers and a designer to ship and iterate quickly without cutting corners • Operate AI-native and use AI tooling by default to multiply output • Use data to define success, track progress, and continuously raise the bar • Help shape Hupo’s product processes and culture

🎯 Requirements

• Fluent with core LLM systems in practice, including prompting, retrieval, embeddings, evaluation, and fine-tuning • Used LLM systems to build real products • Uses AI tooling by default and can demonstrate its use • Experience owning a product engine independently • Thrives in ambiguity and takes ownership without waiting to be told what to do • Detail-obsessed and intrinsically driven to improve craft • Communicates clearly and concisely in writing and in person • Able to translate between technical and non-technical teams • Nice-to-have: deep domain knowledge in insurance, wealth management, or financial services sales and servicing • Nice-to-have: enterprise SaaS experience, especially deploying into large regulated institutions • Nice-to-have: a product or tool shipped using generative AI