Horizon3.ai

51 – 200 Angajați

Inteligență artificială SaaS Securitate cibernetică

Horizon3.ai este o companie de securitate cibernetică și inteligență artificială fondată în 2019, care dezvoltă software autonom pentru testarea penetrării. Platforma sa NodeZero ajută organizațiile să își evalueze continuu nivelul de securitate prin identificarea rutelor de atac exploatabile în medii cloud, IoT și locale. Concepută ca soluție SaaS cu autoservire, NodeZero oferă informații despre vulnerabilități fără a necesita agenți permanenți sau agenți care folosesc acreditări. Horizon3.ai a fost fondată de veterani ai sectoarelor de operațiuni speciale și securitate națională din SUA și se concentrează pe sprijinirea echipelor de securitate pentru a remedia proactiv punctele slabe înainte ca acestea să fie exploatate de atacatori.

Locurile de muncă ale companiei

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.

acum 5 zile

Statele Unite ale Americii

142.718 $ – 186.560 $ / an

Remote Normă întreagă Senior Limbă Obligatorie: engleză Inginer de analiză a datelor

AWS Azure Google Cloud Platform SQL Tableau

Descriere

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

Cerințe

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

Beneficii

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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