Head of Product

Head of Product

Location: Remote

Why now?

AI is changing the economics of building software. As small teams become dramatically more productive, the defining constraint shifts from “what can we build?” to “what is worth building?”

Jungle Scout has spent more than a decade building proprietary intelligence on Amazon commerce. Over the past year, we've transformed how we bring that intelligence to life: our engineering teams have embraced AI-native development, increased their pace dramatically, and brought MCP capabilities and agents to hundreds of customers. One Fortune 500 customer told us our product had advanced more than any other vendor they work with.

That progress opens a much bigger opportunity. Instead of giving brands information to analyze, we are building intelligent agents that understand their businesses, identify opportunities, recommend actions, and help them grow - on Amazon and beyond.

We're looking for a Head of Product to turn that ambition into products customers depend on.

The role

We believe the future of product leadership looks different.

The greatest leverage will come not from coordinating execution, but from identifying the right problems, making bold choices, and developing exceptional product judgment across the organization.

At Jungle Scout, small engineering teams own customer problems end-to-end—from understanding the problem to designing, shipping, measuring outcomes, and iterating. You'll own which problems deserve our investment, the product direction we pursue, and the success of the portfolio as a whole.

You won't sit between customers and engineers or build layers of process. You'll bring the customer insight, product judgment, and ambitious direction that make autonomous teams more effective.

You'll report to our CTO as a close strategic partner, with real authority over product strategy and priorities. We expect you to bring your own ideas, challenge ours, and make consequential decisions independently. You'll work closely with engineering, design, data science, and commercial leadership.

What you'll do

• Discover consequential customer problems. Build relationships with customers, understand their workflows and economics, and identify opportunities at the intersection of unmet needs, our proprietary data, and emerging AI capabilities.
• Make ambitious, disciplined bets. Develop product strategy, choose where to invest, define success, and test assumptions quickly. Know when to double down, redirect, or stop.
• Own product portfolio success. Look beyond launches to adoption, repeated use, customer outcomes, retention, and expansion. Partner with Sales, Customer Success, and Marketing to turn new capabilities into realized value.
• Raise the bar for product quality and judgment. Champion simplicity, usefulness, and trust. Challenge teams to think bigger, while helping engineers and data scientists make excellent product decisions without becoming an approval bottleneck.
• Lead hands-on and communicate clearly. Use AI to investigate datasets, explore customer problems, prototype ideas, and evaluate new capabilities. Move easily from a working experiment to a strategic customer conversation or executive presentation.

Who you are

• A proven product builder who has identified important opportunities, made hard tradeoffs, and delivered products with measurable customer and commercial impact.
• Deeply customer-oriented, with the curiosity to understand how businesses actually operate and the judgment to see beyond feature requests.
• Technically fluent and genuinely AI-native. You use AI extensively to research, analyze, experiment, and prototype. You're comfortable working directly with data, understand the capabilities and limitations of modern AI systems, and can engage deeply with engineers and data scientists on technical product decisions.
• Commercially minded, with an understanding of enterprise adoption, monetization, retention, and growth.
• A multiplier of strong teams. You create clarity without bureaucracy, strengthen others' judgment, and challenge senior leaders constructively.

Amazon or broader ecommerce experience is strongly preferred. Experience building B2B software, data, analytics, or AI products is also highly relevant. We're more interested in what you've built and the quality of your judgment than the size of the product organization you've managed.