Horizon3.ai
Horizon3.ai
Horizon3.ai is a cybersecurity and artificial intelligence company founded in 2019 that develops autonomous penetration testing software. Its NodeZero platform helps organizations continuously evaluate their security posture by identifying exploitable attack paths across cloud, IoT, and on-premises environments. Designed as a self-service SaaS solution, NodeZero provides vulnerability insights without requiring persistent or credentialed agents. Horizon3.ai was founded by veterans of the US Special Operations and National Security sectors and focuses on helping security teams proactively address weaknesses before attackers can exploit them.

Senior Product Analytics Engineer, United States Remote

Build governed product data systems for Horizon3.ai’s autonomous cybersecurity platform. Develop ELT pipelines, semantic models, and certified analytics that support product decisions.

Description

  • Build and maintain scalable ELT pipelines and data models
  • Convert product usage and event telemetry into trusted, documented analytics assets
  • Partner with Product Engineering to develop the canonical product data layer
  • Define product usage cohorts and behavioral signals from accurate, governed source data
  • Contribute to taxonomy design, metric certification, and governance documentation
  • Own the semantic layer and self-service Product Analytics data models
  • Monitor data quality and detect anomalies in product usage data
  • Develop pipelines and models for expansion and upsell cohorts, usage thresholds, feature adoption, and seat utilization metrics
  • Help establish company-wide analytics standards and enablement tools
  • Explain technical data concepts and business implications to engineers, non-technical stakeholders, and leaders
  • Advance engineering best practices across Product Analytics data assets

Requirements

  • Bachelor’s degree or equivalent in computer science, engineering, information systems, or a related field
  • At least 7 years of experience across data engineering and analytics
  • Advanced SQL proficiency
  • Hands-on experience with dbt
  • Experience developing production data pipelines and stakeholder-facing analytics or dashboards
  • Ability to turn ambiguous business needs into governed, well-documented data models
  • Experience working with product and engineering teams on instrumentation and source-data design
  • Experience with data governance or metric-certification processes
  • Familiarity with Tableau, Looker, or Power BI
  • Experience with AWS, Google Cloud Platform, or Azure
  • Experience using Git workflows and CI/CD for data pipelines
  • Regular use of AI tools in coding and development workflows
  • Legal authorization to work in the United States

Benefits

  • Stock-option equity package for all full-time roles
  • Health, vision, and dental insurance for you and your family
  • Flexible vacation policy
  • Generous parental leave
  • Career development opportunities
  • Inclusive and collaborative work culture
  • Remote and hybrid work models, depending on the role and location

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