AI Product Engineering Manager
Jellyfish
About this role
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.
Skills
About Jellyfish
jellyfish.coJellyfish is a software engineering intelligence platform designed to enhance engineering performance and strategic alignment within organizations. By integrating with tools like Jira and GitHub, Jellyfish provides essential insights into engineering metrics, resource allocation, and team performance, helping R&D organizations improve efficiency and deliver better outcomes. The platform enables engineering leaders to make data-driven decisions, streamline processes, and predict project timelines effectively, resulting in improved innovation and reduced operational bottlenecks.
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About Jellyfish
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
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
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View leadership team, funding history,
and employee contacts for Jellyfish.
Salary
$195k – $265k
per year