Jellyfish
The AI Product Engineering Manager at Jellyfish is responsible for leading the transformation of the platform from traditional SaaS to Native AI SaaS, focusing initially on developing agentic chat. The role involves managing a team of engineers, collaborating with infrastructure and research teams, and guiding technical decision-making to deliver AI-powered features that provide valuable insights to engineering leaders. Candidates should possess strong experience in building AI capabilities in SaaS applications and excel in communication with both technical and non-technical stakeholders.
Headquarters
Boston, Massachusetts, United States
Company Size
201-500 employees
Founded
2017
Jellyfish is the intelligence platform for AI-integrated engineering, helping R&D teams turn developer tool data into productivity insights and measurable business impact. The platform integrates with tools like Jira, GitHub, and other dev tools to provide insights across AI adoption, operational effectiveness, business alignment, developer experience, and financial reporting. Jellyfish enables engineering leaders to optimize AI investments, mature their metrics strategy, improve developer workflows, and automate R&D financial reporting.
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BostInno - Funding to Black and Latino founders | Layoffs at Jellyfish
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Measuring AI in software development: Interview with Jellyfish CEO Andrew Lau
Dec 10, 2025
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Jellyfish.
Jellyfish Brewing signs on with River Barrel Distributing
1 month ago