Firebolt Tech Stack

Analytical database optimized for AI workloads and sub-second analytics

Software Development Palo Alto, California 51–200 employees Founded 2019 Privately Held

Firebolt is a cloud data warehouse built to handle AI agent workloads, real-time customer-facing queries, and efficient data pipeline execution. The stack reveals a data platform company: they run Snowflake, BigQuery, and Databricks internally while also using dbt, Fivetran, and Airflow — suggesting they're dogfooding their own product against established competitors. Active projects focus on scaling sales engineering and expanding GTM globally, paired with technical hiring gaps in engineering (1 open role) — a common signal of a sales-led growth phase where product velocity lags go-to-market ambition.

Tech Stack 19 technologies

Core StackSalesforce Slack HubSpot Zapier OpenAI Anthropic Snowflake BigQuery Databricks dbt Fivetran Looker AWS Apache Airflow GCP Azure SQL Apache Superset

What Firebolt Is Building

◆Challenges

Streamlining business processes
Improving efficiency and productivity
Scaling sales engineering function
Winning highly technical evaluations
Expanding gtm globally
Scaling cloud data warehouse for ai workloads
Embedding security and governance without slowing innovation

▲Active Projects

Scaling sales engineering team
Defining technical selling best practices
Supporting gtm expansion across regions
Building and scaling a cloud data warehouse optimized for ai workloads
Designing and maintaining the firebolt business intelligence platform
Building and maintaining data pipelines for ingestion, transformation, and modeling

Hiring Activity

Minimal5 roles · 0 in 30d

Department

Sales

Data

Engineering

Seniority

Mid

Director

Manager

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About Firebolt

Firebolt develops an analytical database positioned as an alternative to traditional data warehouses and lakehouses, targeting companies that need efficient AI workload execution alongside interactive analytics. The product is designed around three capabilities: sub-second query performance for customer-facing dashboards, cost-effective ELT pipeline execution, and support for AI agent workloads. Founded in 2019 and based in Palo Alto, the company operates at 51–200 employees with active hiring concentrated in sales engineering roles and distributed across the United States and India. Current priorities center on scaling the sales engineering function, defining technical selling practices, and expanding regional go-to-market coverage.

HeadquartersPalo Alto, California

Company Size51–200 employees

Founded2019

Hiring MarketsUnited States, India

Frequently Asked Questions

What tech stack does Firebolt use internally?

Firebolt uses Snowflake, BigQuery, and Databricks for warehousing and compute, dbt for transformation, Fivetran for ingestion, Apache Airflow for orchestration, and Looker for analytics dashboards. They also integrate OpenAI and Anthropic.

What is Firebolt working on?

Core projects include building a cloud data warehouse optimized for AI workloads, scaling the sales engineering team, and expanding go-to-market across regions. Data infrastructure work includes designing pipelines for ingestion, transformation, and modeling.