aipythonsqlra b testingproduct analyticsapi integrationfullstack developmentstatistical inference
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль объединяет full-stack-разработку, эксперименты и аналитику, что дает широкий опыт в growth-направлении, но объем задач велик, а проекты в staff augmentation могут меняться.
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Широкий набор задачАктуальные технологииКлиентские проектыГибкость в работе
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Full-Stack Growth Engineer (Growth Engineering/Analytics): Building production full-stack features, backend services, integrations, analytics instrumentation, and experimentation systems for customer acquisition, conversion, and retention with an accent on statistical inference, causal measurement, and full-funnel data. Focus on designing reliable A/B tests, connecting CRM and revenue data, maintaining data quality and security, and applying AI-assisted engineering with rigorous validation.
Location: Remote, Latin America (LatAm)
Company
hirify.global is a nearshore staff augmentation and digital product consulting firm headquartered in New York, delivering software engineering, cloud-native architecture, and digital transformation services to U.S. companies across healthcare, financial services, education, and other sectors.
What you will do
Architect, build, and maintain production-ready full-stack features, backend services, web applications, and internal growth tools.
Design, deploy, and evaluate experiments across acquisition, onboarding, conversion, and retention.
Apply statistical inference and causal reasoning to A/B test results, identify confounding factors, and communicate uncertainty.
Implement event tracking, instrumentation, product analytics, and data-quality auditing.
Integrate advertising platforms, CRMs, databases, and third-party tools through REST and GraphQL APIs, webhooks, and event-driven pipelines.
Collaborate with marketing, product, and design partners to turn growth objectives into testable engineering roadmaps while maintaining data security, privacy, observability, and governance.
Requirements
Proven experience as a Full-Stack Software Engineer building modern web applications, scalable backend APIs, and working with relational databases.
Advanced SQL proficiency and hands-on scripting or analytical experience with Python, R, or equivalent modern data tools.
Practical knowledge of experimental design, A/B testing methodologies, statistical inference, and causal reasoning.
Solid experience architecting third-party integrations with webhooks, APIs, and event-driven patterns.
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, supported by sound judgment on validation and security.
Nice to have
Familiarity with PostHog, CRM platforms, marketing automation engines, Conversion APIs, or server-side tracking.
Familiarity with CAC, LTV, churn and retention curves, and ROAS.
Understanding of incrementality testing, conversion lift studies, and attribution model nuances.
Consulting, client-facing delivery, or regulated-environment experience, including healthcare or fintech.
Culture & Benefits
100% remote work from a location in Latin America with a laptop and reliable internet connection.
Competitive compensation paid in USD and paid time off.
Autonomous work focused on results rather than fixed hours.
Opportunities to work with innovative U.S. companies on high-impact projects.
Well-being, work-life balance, engagement activities, and collaboration with a multicultural network of 600+ professionals across 25+ countries.
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