Quanata Tech Stack

Telematics and behavior-based insurance platform powered by ML and real-time data

Software Development San Francisco, California 201–500 employees Privately Held

Quanata builds insurance products around telematics and driver behavior data, running a modern ML stack (Python, Kafka, Snowflake, Databricks, SageMaker) with heavy emphasis on data pipeline reliability and model validation. Active hiring across engineering and data roles (senior-weighted, 13 of 14 open positions) paired with projects in test automation, feature stores, and ML governance suggests the company is scaling its data science velocity and hardening production ML systems. Recent security tool adoption (SAST, DAST) indicates a push toward automated compliance in AI/ML product validation.

Tech Stack 26 technologies

Core StackKafka Apache Airflow Snowflake Databricks Python AWS SageMaker MLflow Snowpark Go GraphQL gRPC PostgreSQL MongoDB AWS Step Functions pytest unittest SQL AWS EKS Pytest PyCharm TestRail Paylocity R

AdoptingSAST DAST

What Quanata Is Building

◆Challenges

Performance and reliability demands
Aws performance and scalability issues
Ensuring benefits compliance
Managing benefit renewal and enrollment
Improving leave application experience
Shortening time to market for data science models
Dynamic machine learning integration
Optimizing application architecture
Cost efficiency
Ensuring payroll compliance

▲Active Projects

Scalable test automation frameworks for data pipelines, etl workflows, and ml models
Automation and deployment processes
Integrate automated tests into the ci/cd pipeline for continuous validation
Annual benefit renewal and open enrollment
Leave of absence documentation and compliance
401k plan administration
Product security management for ai/ml
Appsec integrations and automation
Testing strategies for data quality, schema validation, data drift, model accuracy, bias, and regression in ml pipelines
Shared feature store (snowflake snowpark + kafka)

Hiring Activity

Steady15 roles · 4 in 30d

Department

Engineering

Data

Finance

Security

Seniority

Senior

Mid

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About Quanata

Quanata develops context-based insurance solutions designed to encourage safer driving behaviors through telematics and behavioral data. The product sits at the intersection of insurance underwriting and mobile/connected device data, serving insurers and drivers. The team—comprising data scientists, actuaries, engineers, designers, and marketers—operates from San Francisco with 201–500 employees. Internally, they manage complex benefits, payroll, and HR workflows (leave of absence, 401k, open enrollment) alongside the core product platform, reflecting operational complexity common to mid-market insurtech companies.

HeadquartersSan Francisco, California

Company Size201–500 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Quanata use?

Core stack: Python, Kafka, Apache Airflow, Snowflake, Databricks, PostgreSQL, MongoDB, AWS (Step Functions, SageMaker, EKS). ML tooling includes MLflow and Snowpark. API layer uses GraphQL and gRPC. Recently adopting SAST and DAST for security scanning.

What is Quanata working on?

Active projects include: scalable test automation for data pipelines and ML models; a shared feature store (Snowflake + Snowpark + Kafka); ML pipeline testing (data quality, drift, bias, model accuracy); product security for AI/ML; and internal HR systems (benefits renewal, payroll, leave compliance).