Horizon3.ai
The Senior Product Analytics Engineer at Horizon3 serves as the bridge between product data modeling and company-wide data governance, ensuring trusted and scalable analytics assets. This role involves designing ELT pipelines, building semantic layers for self-service data models, and partnering with product engineering and data governance teams to define and certify key metrics. The position requires translating ambiguous business requirements into well-documented data models while driving engineering best practices within the Product Analytics team.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Founded
2019
Horizon3.ai is a production-proven pentesting platform that continuously assesses, fixes, and verifies an enterprise security posture across a wide surface area of attack vectors. It embodies the principle that offense informs defense, using offensive security findings to harden defenses in real-world environments. The platform translates testing results into actionable remediation guidance, helping security teams prioritize and remediate vulnerabilities before they’re exploited. Positioned as an enterprise-grade solution, Horizon3.ai delivers scalable, continuous visibility to reduce risk across complex networks and cloud environments.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Horizon3.ai.
20% above the average for this role