Horizon3.ai
Horizon3.ai
Horizon3.ai — 2019-yilda tashkil etilgan, avtonom penetratsion testlash dasturiy ta’minotini ishlab chiquvchi kiberxavfsizlik va sun’iy intellekt kompaniyasi. Uning NodeZero platformasi bulut, IoT va mahalliy infratuzilmalardagi foydalanish mumkin bo‘lgan hujum yo‘llarini aniqlash orqali tashkilotlarga xavfsizlik holatini muntazam baholashda yordam beradi. O‘z-o‘ziga xizmat ko‘rsatish uchun mo‘ljallangan SaaS yechimi sifatida ishlab chiqilgan NodeZero doimiy ishlaydigan yoki autentifikatsiyani talab qiladigan agentlarsiz zaifliklar haqida ma’lumot beradi. Horizon3.ai kompaniyasiga AQSh Maxsus operatsiyalar va Milliy xavfsizlik sohalarida xizmat qilgan mutaxassislar asos solgan. Kompaniya xavfsizlik jamoalariga zaifliklarni hujumchilar ulardan foydalanishidan oldin proaktiv tarzda bartaraf etishga yordam berishga e’tibor qaratadi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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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