Jellyfish Tech Stack

AI-driven engineering intelligence platform for software delivery metrics

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

Jellyfish operates a data-heavy engineering intelligence platform serving 700+ companies with decision-support tools for R&D teams. The tech stack reveals a mature, modern data practice: Python + Databricks + Snowflake + dbt for transformation, Dagster + Prefect + Airflow for orchestration, and Great Expectations + Datadog + Honeycomb for observability. Project and pain-point lists show the engineering team is actively modernizing their data platform (next-generation architecture, workflow orchestration refactor) while fighting production data problems (leakage, broken pipelines, ingestion bottlenecks, untracked quality bugs) — typical of a fast-scaling platform business managing high-cardinality customer data.

Tech Stack 38 technologies

Core StackPython Prefect Dagster Apache Airflow Snowflake Databricks Unity Catalog BigQuery Terraform React dbt PySpark Databricks Redis Datadog Great Expectations AWS TypeScript Django Amplitude Redshift NumPy pandas scikit-learn Grafana AWS RDS Cursor Jira Pydantic Honeycomb Google Gemini+6 more

AdoptingAWS

What Jellyfish Is Building

◆Challenges

Manual data patches
Refactoring legacy pipelines
Eliminating data leakage risk
Reducing engine runtime overhead
Broken pipelines
Pipeline bottlenecks
Unmonitored workflows
Untracked data quality bugs
Reducing customer churn
Scaling data ingestion pipelines

▲Active Projects

Next-generation jellyfish data platform
Jellyfish integration
Proactive data observability & finops
Next generation of our jellyfish data platform
Core data models
Production-grade ci/cd for data pipelines
Jellyfish data platform modernization
Modernization of workflow orchestration
Workflow orchestration engine tuning
Data ingestion from external sources

Hiring Activity

Accelerating15 roles · 9 in 30d

Department

Engineering

Data

Sales

Support

Seniority

Senior

Manager

Mid

Junior

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About Jellyfish

Jellyfish builds a Software Engineering Intelligence Platform that aggregates fragmented engineering data (planning systems, version control, CI/CD, deployment tools) to surface actionable insights for R&D leadership. The product helps engineering and data teams optimize developer experience, capacity planning, AI adoption tracking, and delivery execution. Customers include mid-market to enterprise software organizations across fintech, e-commerce, logistics, and HR tech. The company is headquartered in Boston and employs 201–500 people, with active hiring across engineering, data, and sales roles concentrated at senior and manager levels.

HeadquartersBoston, Massachusetts

Company Size201–500 employees

Founded2017

Hiring MarketsUnited States, United Kingdom

Frequently Asked Questions

What tech stack does Jellyfish use?

Python, Databricks, Snowflake, BigQuery, Dagster, Prefect, Apache Airflow, dbt, React, TypeScript, Terraform, Great Expectations, Datadog, Honeycomb, AWS, and scikit-learn for ML inference.

Where is Jellyfish headquartered?

Boston, Massachusetts. Founded in 2017, now 201–500 employees with hiring velocity accelerating.

How this profile is built

Jellyfish's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.