Hupo
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.
Practitioner Contributor, Insurance & Wealth Sales AI
🔥 1 hour ago
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Hupo
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
• Use Hupo's product in depth — run through scenarios, complete roleplay sessions, and form a view on what feels real and what does not • Provide structured critique on scenarios, objections, persona behaviour, and AI feedback quality: where it works, where it misses, what a top producer would do differently • Participate in re-enactment sessions where you play the agent side of a sales conversation (Hupo plays the client), so we can capture realistic transcripts and cadence • Review AI evaluation outputs (LLM-as-judge scoring) and flag where the AI's assessment of an agent response is misaligned with how the field would actually judge it • Surface objections, scenarios, and edge cases that you have personally encountered but do not see represented in our content
🎯 Requirements
• Ideally, MDRT qualifier within the past 3 years, or 10+ years of frontline insurance advisory experience • Active or recently active in the field, with current familiarity across life, health, ILP, and savings products • Strong opinions on what good selling looks like, and willing to articulate them under questioning • Comfortable using software tools and providing written feedback • Conversational English required; Cantonese or Mandarin a plus for HK re-enactments
🏖️ Benefits
• Cash-based compensation, disclosed in the first conversation
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