What are the responsibilities and job description for the Jellyfish Implementation Lead position at TechClub Inc?
Role: Product Engineering Lead / Jellyfish Implementation Lead
Location: Chicago, IL~Minneapolis, MN~
(100% onsite Role)
Job Description:
Must Have Technical/Functional Skills
Jellyfish or similar engineering intelligence platforms; SDLC tools integration with GitHub, Azure DevOps, Jira; Agile
delivery metrics; software engineering lifecycle; reporting dashboards and analytics frameworks; stakeholder
management; AI/ML DLC and observability preferred.
Roles & Responsibilities
Lead onboarding, configuration, and operationalization of Jellyfish; provide delivery lifecycle and work orchestration visibility; enable tracking of productivity, throughput, cycle time, bottlenecks; integrate with ADO, GitHub, and Jira; design dashboards for leadership and delivery governance; collaborate with AI DLC and App Ops/Observability teams; support tool ecosystem scaling.
Generic Managerial Skills, If any
Stakeholder management; direct work with product/engineering teams; high-pressure delivery readiness.
Key Words to search in Resume
Jellyfish, Engineering Intelligence, Delivery Observability, Azure DevOps, GitHub, Jira, Agile Metrics, Cycle Time,
Throughput, Dashboards, AI DLC, Observability.
Role Descriptions: Key Responsibilities Lead onboarding| configuration| and operationalization of Jellyfish platform Provide end-to-end visibility into delivery lifecycle and work orchestration Enable tracking of: Engineering productivity Work throughput and cycle time Delivery bottlenecks and inefficiencies Integrate Jellyfish with tools such as: Azure DevOps (ADO)| GitHub| Jira (future target) Design dashboards and reporting for: Leadership visibility Delivery governance Collaborate with AI DLC (Delivery lifecycle) teams App Ops / Observability teams Enable data-driven decision making for engineering leadership Support scaling of the tooling ecosystem as additional tools are onboarded
Essential Skills: Preferred Skills Exposure to AI/ML development lifecycle (AI DLC) Experience in observability and app performance measurement Familiarity with engineering productivity metrics frameworks
Desirable Skills:
Keyword:
Skills: Digital : Microsoft Azure~Github Enterprise
Experience Required: 6-8