Product Manager

Hey, glad you're here 👋We know job hunting can feel a little overwhelming, endless tabs, endless job descriptions, and trying to figure out whether a company is actually the right fit (not just whether you fit the role).

So we’ll keep this simple. Here's a look at the role, the team, and the impact you'll have at Hupo. If what you read gets you excited, we'd love to meet you!

About HupoWe are an AI-native start-up building sales enablement products in the banking, financial services, and insurance industry; already trusted by dozens of enterprise customers (including Fortune 500 companies).

Role at a Glance👔 Title: Product Manager🤝 Team: Product📔 Employment Type: Full-time📍 Location: Remote (UTC+5–UTC+11 / Asia time zone preferred)

What You'll Do

• Own a product engine end to end: roadmap, prioritisation, OKRs, and outcomes.
• Go deep with enterprise BFSI customers to understand their workflows and compliance constraints, and translate that into products they rely on daily.
• Lead a squad of engineers and a designer to ship and iterate fast without cutting corners.
• Operate AI-native.
• Use AI tooling by default to multiply your own output, and show us how you do it.
• Use data to define success, track progress, and keep raising the bar.
• Help shape Hupo’s product processes and culture.

What We're Looking For

• Must-Haves
• We hire product builders who are already ahead of their peers, with the experience to own an engine independently.
• The constants:
• You are fluent with core LLM systems in practice: prompting, retrieval, embeddings, evaluation, and fine-tuning, and you have used them to build real products.
• You reach for AI tooling by default to compress your own work, and you can demonstrate it.
• You thrive in ambiguity and take ownership without waiting to be told what to do.
• You are detail-obsessed and intrinsically driven to improve your craft.
• You communicate clearly and concisely, in writing and in person, and you translate between technical and non-technical teams.
• Nice-to-Haves
• Deep domain knowledge in insurance, wealth management, or financial services sales and servicing.
• Enterprise SaaS experience, especially deploying into large regulated institutions.A product or tool you have shipped using generative AI, in your work or as a side project.