Intent-driven direct mail and postcard retargeting for consumer brands
NaviStone turns website visitor behavior into triggered, personalized direct mail for consumer marketers. Its stack is unusually data-heavy for its size — Snowflake, BigQuery, Redshift, dbt, Airflow and Spark alongside Terraform, Pulumi and Argo CD — matching active work on a core marketing data engine, predictive targeting models and real-time pipeline scaling. Hiring is accelerating and skews senior across engineering and product.
NaviStone is a Cincinnati, Ohio-based marketing technology company founded in 2016. It identifies consumers showing interest on a brand's website and reaches them with timely, personalized postcards and broader omni-channel campaigns. The company serves marketers in retail, eCommerce, travel and hospitality, and financial services, with a hands-on client service model. It is privately held, employs 51–200 people, and hires in the United States.
NaviStone uses TypeScript, React, Node.js, Python, C#/.NET and Go on AWS and GCP, with Snowflake, BigQuery, Redshift, dbt, Airflow and Spark for data, plus GitLab CI/CD, Argo CD, Terraform and Pulumi.
Job posts point to development of the NaviStone platform, a core marketing data engine, predictive targeting models, attribution frameworks and new business acquisition across consumer brands.
NaviStone is headquartered in Cincinnati, Ohio, and currently hires in the United States. The company was founded in 2016 and has 51–200 employees.
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NaviStone'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.