Product Manager, Intelligence Suite

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, Intelligence Suite
• Team: Product
• Employment Type: Full-time
• Location: Remote

Why This Role Matters

You'll own the Intelligence Suite, a key part of Hupo's AI platform built for sales managers and distribution leaders in the insurance and wealth industries.

Today, most sales leaders only see results after the fact through monthly sales figures, training completion and the few customer conversations they happen to hear. They often lack visibility into the behaviours that drive performance, who needs coaching, and which customers are ready to buy or at risk of leaving.

You'll help change that by building a suite that applies one expert standard to every client interaction, whether handled by a human advisor or an AI agent, and turns those insights into actionable recommendations that managers can act on.

This is a senior individual contributor role reporting to the Head of Product, with ownership of the suite's product strategy, roadmap and commercial model.

What You'll Do

• Build the Advisory Gold Standard: Develop an expert model of excellent insurance and wealth advisory, tailored to each client's methodology and used to evaluate both human advisors and AI agents.
• Develop actionable signals and next-best actions: Identify buying intent, retention risks, cross-sell opportunities and coaching moments, and deliver these insights to managers and advisors when they can act on them.
• Own the Manager Portal: Build a centralised view of team performance, skill gaps and risks across every Hupo product a client uses, including the ability to ask questions across past customer conversations.
• Deliver leadership insights: Surface trends across teams and markets for heads of distribution, both within Hupo and through integration with clients' own systems.
• Own the product end to end: Drive the suite's roadmap, metrics and commercial model, while building and testing prototypes yourself.

What Success Looks Like

Within your first year, you'll:

• Publish a suite strategy within 90 days, grounded in time spent with managers at our clients.
• Deliver the first validated version of the Advisory Gold Standard, used for scoring across our products.
• Establish the Manager Portal as a weekly habit for managers at multiple clients.
• Launch a signal or next-best-action capability with a client, with a measurable impact on an outcome they track.
• Demonstrate at one or more clients that Hupo's scores correlate with real-world performance.

You'll also be expected to continuously:

• Own and evolve the suite's roadmap, product metrics and commercial model.
• Build prototypes and validate ideas quickly using AI tools and data.
• Work closely with clients, engineering and design to turn insights into products that drive measurable business outcomes.

What We're Looking For

Must-Haves

• 6+ years of product management experience, including ownership of a data, analytics or AI product that people used daily and that moved a business metric.
• Experience turning behavioural or conversational data into actionable recommendations that non-technical users can act on.
• Strong judgement when building LLM products, including the ability to evaluate their outputs against expert judgement.
• A hands-on builder who can prototype using AI tools and query data independently.

Nice-to-Haves

• Experience in insurance, wealth management or banking.
• Experience at a high-growth startup, or a track record of achieving well ahead of your years of experience.
• Experience building sales performance, conversation intelligence, QA or people analytics products.
• Mandarin, Bahasa or another APAC language used by our clients.

Why This Role Is Hard

• Different buyers and users: The buyer and daily user are often different people, and you'll need to build a product that delivers value to both.
• Data constraints: Regulated clients limit what data can be retained, so you'll need to design signals that work within those restrictions.
• Defining quality: Building an expert standard takes time, and you'll need to make the judgement calls on what is good enough to ship.