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Senior Full-Stack Growth Engineer - Marketing & Analytics at Truelogic · LumiJobs

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Truelogic· Posted Oct 27, 2026

Senior Full-Stack Growth Engineer - Marketing & Analytics

Santo Domingo · Remotecontract

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Remote

senior

H1B: no

Truelogic The Senior Full-Stack Growth Engineer designs and builds technical infrastructure for customer acquisition, experimentation, and marketing performance. This role involves architecting production features, building API and CRM integrations, and designing statistically sound experiments.

Responsibilities

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.

Qualification

Familiarity with PostHogUnderstanding of incrementality testingBackground in consulting

Required

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.

Preferred

Familiarity with PostHog, CRM platforms, marketing automation engines, Conversion APIs (CAPI), or server-side tracking.
Familiarity with growth metrics such as CAC, LTV, churn/retention curves, and ROAS.
Understanding of incrementality testing, conversion lift studies, and attribution model nuances.
Background in consulting, client-facing delivery, or building software in regulated environments (e.g., healthcare, fintech).