Product Manager

 Posted an hour ago
     
5-10 years experience
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AI Summary

You will own the product engine end-to-end, including roadmap development, prioritization, and defining OKRs. You will lead a cross-functional squad of engineers and designers to ship and iterate on AI-native products for enterprise BFSI customers.

About Hupo

We 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.

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