Senior Full-Stack Growth Engineer - Remote Analytics

Truelogic Software LLC

United States

A distancia

USD 120.000 - 180.000

Jornada completa

Hace 13 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

100% Remote Work
Competitive USD Pay
Paid Time Off
Autonomy in work
Work with top American companies

Descripción de la vacante

Truelogic Software LLC seeks a Senior Full-Stack Growth Engineer to design, build, and evolve the technical infrastructure powering customer acquisition, experimentation, and marketing performance.

This role bridges full-stack software development with rigorous quantitative analysis to drive measurable business outcomes across the user lifecycle. You will architect features, instrument analytics, and collaborate with cross-functional teams to deliver high-impact, data-driven solutions.

Formación

  • Proven track record as a Full-Stack Software Engineer building modern web applications, scalable backend APIs, and working with relational databases.
  • Advanced SQL proficiency alongside hands-on scripting/analytical experience in Python, R, or equivalent modern data tools.
  • Practical foundation in experimental design, A/B testing methodologies, statistical inference, and causal reasoning.
  • Hands-on experience implementing product analytics instrumentation, event pipelines, and auditing data quality.
  • Solid experience architecting third-party integrations using webhooks, APIs, and event-driven patterns.
  • Strong ability to translate complex data findings and technical tradeoffs into actionable business and product insights.
  • Practical experience with AI-assisted software development and analytical tooling, backed by sound engineering judgment regarding validation and security.

Responsabilidades

  • Architect, build, and maintain production-ready full-stack features, backend services, web applications, and internal growth tools.
  • Design, deploy, and evaluate experiments across customer acquisition, onboarding flows, conversion funnels, and retention loops.
  • Apply statistical inference and causal reasoning to evaluate A/B test results, identify confounding factors, and communicate uncertainty clearly to stakeholders.
  • Implement robust event tracking, instrumentation, and product analytics using modern platforms (e.g., PostHog).
  • Integrate advertising platforms, CRMs, databases, and third-party tools via REST/GraphQL APIs, webhooks, and event-driven data pipelines.
  • Evolve database schemas and analytical data models to support new product workflows, attribution, and reliable measurement.
  • Connect acquisition, product usage, CRM, and revenue data streams to analyze full-funnel customer journeys and business outcomes.
  • Maintain high standards for data quality, automated testing, observability, user privacy, and data security across all integrations.
  • Collaborate with marketing, product, and design partners to translate strategic growth objectives into testable engineering roadmaps.
  • Leverage modern AI-assisted engineering and analytical workflows responsibly, ensuring rigorous validation and data governance.

Conocimientos

Full-Stack Web Apps
Backend APIs
Relational Databases
Advanced SQL
Python/R data tools
Experiment design
A/B testing
Product analytics instrumentation
APIs integrations
AI-assisted development
Data quality & testing
Security considerations

Herramientas

PostHog
CRM platforms
Marketing automation engines
Conversion APIs (CAPI)
Server-side tracking
REST/GraphQL APIs

Descripción del empleo

Truelogic Software LLC seeks a Senior Full-Stack Growth Engineer to design, build, and evolve the technical infrastructure powering customer acquisition, experimentation, and marketing performance.

This role bridges full-stack software development with rigorous quantitative analysis to drive measurable business outcomes across the user lifecycle. You will architect features, instrument analytics, and collaborate with cross-functional teams to deliver high-impact, data-driven solutions.

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