Engineering intelligence platform measuring R&D delivery and AI impact
Jellyfish sells analytics to engineering leaders on how R&D teams plan, deliver, and adopt AI. Its stack is unusually data-heavy, running Databricks, Spark, Delta Lake, ClickHouse, Snowflake and BigQuery alongside three orchestrators (Airflow, Prefect, Dagster), with dbt being adopted. Data roles lead an accelerating hiring mix, matching pain points around governance, inconsistent data models and maturing the Databricks platform.
Jellyfish is a Boston-based, privately held software company founded in 2017 with 201–500 employees. It provides an intelligence platform for engineering organizations, covering capacity planning, engineering allocation, delivery management, developer experience, software capitalization and measurement of AI impact. Its buyers are R&D and engineering leaders such as CTOs and VPs of Engineering. The product runs on AWS with a TypeScript, React, Python and Django application stack, and the company hires in the United States and United Kingdom.
Jellyfish builds on AWS, TypeScript, React, Python and Django, with a data layer spanning Databricks, Spark, Delta Lake, ClickHouse, Snowflake, BigQuery and PostgreSQL, orchestrated via Airflow, Prefect and Dagster.
Yes. Data is the leading department in Jellyfish's accelerating hiring, mostly at senior level, focused on data pipelines, orchestration, governance and the Databricks platform. Roles are in the US and UK.
Jellyfish is headquartered in Boston, Massachusetts, and hires in the United States and United Kingdom, with job posts pointing to East Coast footprint expansion.
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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.