Senior Full-Stack Growth Engineer - Marketing & Analytics
Salário estimado
R$ 10k - 16k/mês
Salário estimado
R$ 10k - 16k/mês
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About Truelogic
At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.
By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.
Our Client
A premier digital product and technology consulting firm specializing in modern software engineering, cloud-native architecture, and strategic digital transformation across high-impact sectors including healthcare, financial services, and education.
Job Summary
The Senior Full-Stack Growth Engineer plays a pivotal role in designing, building, and evolving the technical infrastructure that powers customer acquisition, experimentation, and marketing performance. This unique position bridges end-to-end full-stack software development with rigorous quantitative analysis to drive measurable business impact. The ideal candidate will architect production features and internal tools, build resilient API and CRM integrations, instrument deep product analytics, and design statistically sound experiments across the entire user lifecycle. Collaborating closely with cross-functional product, design, and growth teams, this role turns critical business hypotheses into high-impact, shippable solutions supported by clean data and causal measurement.
Responsibilities
Seleção por stack em comum com esta oportunidade
Salário estimado
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