Dataro Tech Stack

AI-powered fundraising intelligence built on CRM data

Software Development San Francisco, California 11–50 employees Founded 2020 Privately Held

Dataro is a data and ML platform for fundraising teams, sitting atop existing CRMs to automate prospect prioritization and engagement sequencing. The stack is serverless-first (AWS Lambda, Step Functions, Athena, DuckDB) with a React frontend, designed for rapid iteration on data pipelines and model deployment. Active work on predictive features, controlled experiments, and scaling data infrastructure for billion-record volumes suggests the product is moving from rule-based segmentation toward ML-driven donor scoring—a pattern consistent with pain points around model performance and presenting technical outputs to non-technical fundraisers.

Tech Stack 20 technologies

Core StackPython AWS AWS Lambda React PostgreSQL Docker Kubernetes TypeScript JavaScript SQL Athena Batch AWS Step Functions DuckDB Git CI/CD Serverless Framework React Query TanStack Query React Hook Form

What Dataro Is Building

◆Challenges

Maintaining models and data pipeline
Presenting technical data to non-technical audience
Scaling data systems for increasing volume
Handling increasing volume and complexity
Scaling data pipelines for us expansion
Scaling ml infrastructure
Improving model performance
Improving donor engagement
Running smarter campaigns

▲Active Projects

Data pipelines for fundraising and crm systems
Third-party platform integrations
Internal tooling for reliability
Data integrations across fundraising and crm platforms
Optimising data pipelines for billions of records daily
Customer onboarding and technical implementation
Deploy production ml models
Design predictive features
Run controlled experiments
New features across full stack

Hiring Activity

Decelerating6 roles · 1 in 30d

Department

Data

Engineering

Product

Seniority

Mid

Senior

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About Dataro

Dataro helps nonprofit and fundraising teams replace manual prospect segmentation and gut-feel outreach decisions with data-ranked actions. Built in 2020 and headquartered in San Francisco, the company operates as a thin application layer on top of existing CRM and fundraising data, using ML models to identify who to contact, when, and with what ask. Current focus spans data pipeline optimization (handling billions of records daily), third-party integrations across fundraising and CRM platforms, and deploying production ML models. The team is split evenly across data, engineering, and product roles at mid-to-senior levels.

HeadquartersSan Francisco, California

Company Size11–50 employees

Founded2020

Hiring MarketsAustralia, United States

Frequently Asked Questions

What tech stack does Dataro use?

Python, SQL, AWS (Lambda, Athena, Batch, Step Functions), DuckDB, PostgreSQL, React, TypeScript, Docker, Kubernetes, and Serverless Framework. Serverless-heavy design on AWS with a React-based frontend.

What is Dataro working on?

Data pipelines for fundraising and CRM systems, predictive feature design, deploying production ML models, controlled experiments, third-party platform integrations, and scaling infrastructure to handle increasing data volume and complexity.

Where is Dataro hiring?

United States and Australia. Currently 6 active roles across data, engineering, and product, with hiring velocity decelerating.