Jellyfish Tech Stack

Engineering intelligence platform powered by AI for R&D decision-making

Software Development Boston, Massachusetts 201–500 employees Founded 2017 Privately Held

Jellyfish operates an analytics platform for engineering leadership, powered by a modern AI-forward stack (Claude, Bedrock, SageMaker, Snowflake, dbt). The company is actively adopting AWS managed services while maintaining a Python + TypeScript + React core, signaling a shift toward native cloud AI capabilities. Hiring velocity is decelerating across engineering and sales, but the project mix—amplitude scaling, B2B pipeline buildout, and a productivity measurement feature—suggests focus on product consolidation and go-to-market traction rather than team expansion.

Tech Stack 26 technologies

Core StackAWS TypeScript Python React Django Salesforce GitHub Copilot Cursor OpenAI Linux Terraform Grafana dbt Amplitude Databricks Snowflake Redshift NumPy pandas scikit-learn AWS RDS Claude Honeycomb SQL

AdoptingSageMaker AWS Bedrock

What Jellyfish Is Building

◆Challenges

Scaling sales team
Understanding team organization
Hidden bottlenecks in dependencies
Complex data models
Measuring ai impact on engineering productivity
Capturing ai adoption patterns
Messy issue tracking systems
Scaling infrastructure to support growth
Lack of market intelligence
Unclear competitive positioning

▲Active Projects

Building the salesforce.com for r&d teams
Amplitude product analytics scaling
Building b2b pipeline
Managing complex deal cycle
Providing analytics/insights
Represent team configurations
Build key features for aws-hosted saas environment
Support production operations
Scaling sales team
Productivity measurement feature

Hiring Activity

Decelerating20 roles · 3 in 30d

Department

Engineering

Sales

Product

Data

Design

Seniority

Senior

Manager

Mid

Director

Junior

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About Jellyfish

Jellyfish sells engineering intelligence software to R&D and engineering operations teams at mid-market and enterprise companies. The platform aggregates fragmented data from development workflows—issue tracking, deployment systems, GitHub, Salesforce—and applies AI analysis to surface insights on capacity planning, developer productivity, AI adoption, and delivery performance. The company serves over 500 customers across finance, e-commerce, and software-as-a-service segments. Operations center on AWS infrastructure, with analytics pipelines built on Snowflake, dbt, and Databricks. Sales motion is B2B, supported by developer-led adoption channels.

HeadquartersBoston, Massachusetts

Company Size201–500 employees

Founded2017

Hiring MarketsUnited States, United Kingdom

Frequently Asked Questions

What tech stack does Jellyfish use?

Jellyfish's core stack: TypeScript, Python, React, Django on AWS; analytics via Snowflake, dbt, Databricks; AI models via Claude, OpenAI, and AWS Bedrock; monitoring via Honeycomb and Grafana; CRM via Salesforce.

Where is Jellyfish headquartered?

Boston, Massachusetts. Founded in 2017, privately held, 201–500 employees.