Group Product Manager

Jellyfish · Remote - US · FullTime

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We're looking for a Group Product Manager to own a critical part of Jellyfish's product and lead the people building it. You'll report to the Head of Product, manage a small team of Product Managers, and work hands-on with an engineering team to deliver customer value. You'll help determine where AI creates durable customer value, where human judgment matters, and how to measure whether new capabilities actually improve outcomes. This is a rare blend: you'll set the strategy and vision for your domain, drive the day-to-day rhythm that turns strategy into shipped product, and raise the bar for the PMs you manage.

You're equally comfortable in a customer conversation, an executive review, and a whiteboard session with engineers over a thorny tradeoff. You bring a proposed path and you make the calls that hold up over time.

Let's talk about what you'll do:

Set the vision and make it real.

Drive execution and keep a clear product rhythm.

Develop the team.

Partner across the org.

Let’s talk about what you need to excel:

Bonus points if you:

A list of job experiences and qualification requirements is great, but humility, a performance-driven attitude, and a team-player approach are most important to us. We love to have fun and win in the process. We only hire people who have a passion for building great companies in an environment where a sense of humor is a must.

Occasional travel may be required.

Applicants must be authorized to work for any employer in the US. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Let’s talk about us!
This is all about you, but you want to know a little about us. Jellyfish is the leading intelligence platform for AI-Integrated engineering, helping more than 1,000 companies including DraftKings, Keller Williams and Blue Yonder, leverage AI to transform how they build software. By combining the industry’s deepest engineering dataset with context-rich intelligence, Jellyfish helps R&D organizations understand what’s driving impact, adopt proven industry best practices, and make smarter decisions across AI adoption, planning, delivery, and engineering performance.

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