Growth InstituteGI Jobs

Full Stack Engineer

Build and evolve the customer-facing products that help GI's customers scale their companies, with Claude Code as the default workflow.

Equipo
Tecnología
Ubicación
LATAM
Modalidad
Remoto
Tipo
Tiempo completo
Nivel
Semi-Senior
Publicada
15 de octubre de 2026

About Growth Institute

Growth Institute is a global executive education provider for mid-market companies. We work with leadership teams in the U.S., Mexico and internationally, helping them scale through programs built on proven business methodologies.

We are in the middle of a shift: from selling courses to being accountable for learner outcomes. That shift puts more weight on the products our learners, coaches and client companies touch every day. The platform is no longer a delivery channel. It is part of the result.

The role

You will build and evolve our customer-facing products: the apps, tools and agents that help our customers scale their companies while reducing the drama in their operations.

Your closest partner is the product lead on the technology team. They own product discovery and definition, and they also build: prototypes and non-production versions of what we are exploring. You own turning that into production software, the version that has to be secure, reliable and scale. Your job is not to implement tickets. It is to understand the problem behind a feature, challenge the definition when it needs it, build the right thing, ship it, and make sure it holds up in production.

A core goal of this role is to ensure the scalability, reliability and security of the products you develop. We move fast with AI-assisted development, and that only works when the engineer behind it has the judgment to keep the system sound.

Reports to the Head of Technology. Start date: as soon as possible.

Responsibilities

  • Design, build and ship features end to end: frontend, backend, data layer and deployment
  • Own the scalability, reliability and security of what you build: performance, error handling, access control, data protection and monitoring
  • Partner with the product lead: they bring discovery, definition and prototypes; you bring the production build, and you challenge scope and shape before writing code
  • Work with the technology lead on architecture decisions, code reviews and engineering standards
  • Use AI-assisted development as your default workflow, directing agents and reviewing their output with a critical eye
  • Integrate with the platforms around the product (CRM, payments, LMS, analytics) when a feature needs it
  • Write the tests, documentation and observability that let the product run without you watching it
  • Measure whether what you shipped worked, and iterate

What this role is not

Internal support and internal systems (CRM administration, automations between business tools, help desk) are owned by our Internal Systems Engineer. This role builds the products our customers use.

Requirements

We are looking for a software engineer with a product mindset. That is the key differentiator. You care about whether the user got the outcome, not just whether the ticket closed. You ask why, propose simpler paths, and are comfortable owning a problem from the first conversation to production.

  • 5+ years of professional experience building and shipping production web applications as a full stack engineer
  • Strong with a modern web stack. We use Next.js/React, TypeScript, Postgres, Vercel and Cloudflare, with some Python. The specific language is neither an enabler nor a blocker. Depth in building and operating real products is what matters
  • Full AI adoption. Claude Code is the standard tool in this role and its use is mandatory. You should already be working daily with AI coding tools and know where they fail
  • Solid fundamentals in security, performance and reliability: authentication and authorization, data protection, caching, error handling, monitoring
  • Product mindset: you think in user outcomes and business impact, not only in technical deliverables
  • Comfortable with ambiguity: you can take a loosely defined problem and carry it to a shipped, measured solution
  • Professional working proficiency in English, written and spoken

Nice to have

  • Data work: SQL, analytics instrumentation, data pipelines
  • Experience building AI-powered features (LLM APIs, agents, MCP servers)

Consultas: jobs@growthinstitute.com

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