Head of Corporate Marketing

Jellyfish is looking for a Head of Corporate Marketing to shape how we show up in the market and lead the conversation around AI's impact on software development. You'll own our brand, communications, editorial, analyst relations, social, and executive voice—turning proprietary data and insights into a compelling market narrative.

Reporting to the CMO, you'll build our market presence, and establish Jellyfish as a trusted authority among engineering leaders. This is a strategic, hands-on role for a builder who thrives on creating momentum and driving impact.

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• 10+ years in corporate marketing, communications, or brand, including 5+ years leading teams in B2B technology.

• Experience building compelling narratives and elevating brands during periods of market or category transformation.

• Strong understanding of technical audiences, ideally engineering leaders and developers.

• Proven success across PR, content, brand, analyst relations, and executive communications.

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.