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Product Manager, AI

Jellyfish

Boston, Massachusettes, United States Remote permanent

Posted: November 21, 2025

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Quick Summary

We're seeking a highly analytical, technically fluent Product Manager, AI to spearhead research into Jellyfish’s competitive and partner ecosystem, with a sharp lens on the influence of AI-driven companies.

Job Description

We’re seeking a highly analytical, technically fluent Product Manager, AI to spearhead research into Jellyfish’s competitive and partner ecosystem, with a sharp lens on the influence of AI-driven companies. You’ll sit at the intersection of market intelligence, product strategy, and executive decision-making.

This is not a standard roadmap and backlog style PM role—you’ll be responsible for building a clear picture of where the market is heading, how competitors and adjacent players position themselves, and what opportunities Jellyfish should pursue. Your insights will help guide senior leaders across Product, GTM, and Engineering.

What You’ll Do:

• Ecosystem Research & Strategy

• Map Jellyfish’s ecosystem of competitors, partners, and adjacent tools.

• Track how AI technologies and startups are reshaping customer expectations and workflows.

• Identify gaps, opportunities, and threats in the engineering management space.

• Competitive Intelligence

• Conduct deep research into competitive product offerings, messaging, pricing, and positioning.

• Provide executive-ready deliverables (briefings, battlecards, trend analyses).

• Cross-Functional Collaboration

• Partner closely with senior leaders across Product, Engineering, and GTM.

• Help shape product direction by ensuring strategy is grounded in market realities.

• Influence decision-making with crisp, data-backed recommendations.

• Technical Fluency

• Leverage your technical background to understand complex engineering and AI-driven products.

• Evaluate how developer workflows are shifting and what integrations or partnerships matter most.

Let’s talk about what you need to excel:

• AI Subject Matter Expert with opinions on the direction of the space and where we should go.

• Proven success in software product management, ideally at fast-growing, SaaS-based startups.

• Ability to identify what a great product looks and feels like, and have the confidence to challenge the team to produce the best possible result when you know it’s not up to standard.

• Being thoughtful, organized, and disciplined. You have a bias to action, thrive in rapidly evolving environments, and take initiative to see things through to completion.

• Strong listening and great communication skills - you can clearly and thoughtfully explain product concepts to our customers, and customer use cases to our internal team members.

• Experience facilitating and collaborating with high emotional intelligence. You constantly inspire your peers by providing context and strong evidence of the customer and business value of what they’re working on.

• Excited by solving complex problems in the simplest possible way, and know what tools to apply when in order to get there.

• You’re not afraid to take risks, and you do so in a thoughtful way that ensures you and your team learn no matter the outcome.

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 enables leaders to effectively build AI-integrated engineering teams, align engineering decisions with business initiatives and deliver the right software efficiently and on time. AI tools alone won’t transform your org—Jellyfish shows you what’s working, what’s not, and how to build high-performing teams that know how to use AI the right way.

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