Senior Full-Stack Growth Engineer (Remote)

Truelogic; Comisión de Fomento de Perú; À distance; ARS 184 618 000 - 276 927 000; Plein temps

Avantages offerts par ce poste

Remote work

USD pay

Paid time off

Autonomy

US projects

Résumé du poste

Truelogic is seeking a Senior Full-Stack Growth Engineer to design, build, and evolve the technical infrastructure powering customer acquisition and marketing performance. You will bridge end-to-end development with quantitative analysis to deliver high-impact, data-driven software across the user lifecycle.

Collaborating with cross-functional teams, you will architect production features, implement analytics, and ensure data governance while leveraging AI-assisted workflows for efficient

Qualifications

• Proven track record in full-stack software development with modern web apps.
• Experience building scalable backend APIs and relational databases.
• Strong SQL skills and data-driven decision making.
• Familiarity with product analytics instrumentation and event pipelines.
• Ability to translate data findings into business insights.

Responsabilités

• Architect, build, and maintain full-stack features and internal growth tools.
• Design experiments for customer acquisition, onboarding, and retention.
• Apply causal reasoning to evaluate A/B tests and communicate uncertainty.
• Implement product analytics instrumentation and data quality checks.
• Integrate CRMs, advertising platforms, and data pipelines via APIs.

Connaissances

Full-Stack development

SQL proficiency

Python/R

A/B testing & analytics

AI-assisted tooling

Outils

PostHog

CRM platforms

REST/GraphQL APIs

Analytics tools

Description du poste

Truelogic is seeking a Senior Full-Stack Growth Engineer to design, build, and evolve the technical infrastructure powering customer acquisition and marketing performance. You will bridge end-to-end development with quantitative analysis to deliver high-impact, data-driven software across the user lifecycle.

Collaborating with cross-functional teams, you will architect production features, implement analytics, and ensure data governance while leveraging AI-assisted workflows for efficient