Full Stack Developer – Product, Engineering Owner

🕒 Março 12

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HighLevel

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2018

☁️ SaaS

🤝 B2B

💰 Series A em 2021-11

SaaS • Marketing • B2B

HighLevel é uma plataforma all-in-one de marketing e vendas criada para ajudar empresas a crescer e ter sucesso. A solução consolida diversas ferramentas de marketing em um único lugar, oferecendo recursos como captura de leads por meio de landing pages, pesquisas, formulários e calendários, além de ferramentas de nutrição de leads via mensagens automatizadas em múltiplos canais, incluindo telefone, SMS, e-mail e redes sociais. A HighLevel oferece soluções personalizáveis, como agendamento online de compromissos, campanhas de follow-up multicanal e gestão de pipeline. Além disso, as empresas podem criar sites, funis e landing pages com o construtor de páginas intuitivo. A HighLevel permite integração com sistemas existentes via API e oferece uma plataforma de membros para construção de comunidade e gestão de cursos. Voltada para profissionais de marketing, a plataforma disponibiliza opções de white label para que as empresas possam aplicar sua própria marca ao software. Com uma abordagem de desenvolvimento orientada pela comunidade e suporte premiado, a HighLevel tem como foco capacitar as empresas a otimizar suas operações e aumentar a eficiência de marketing.

Descrição

• Own a clearly defined problem area within the platform. • Conduct lightweight discovery: customer calls, support ticket mining, analytics review, win/loss insights, session replays. • Write sharp problem statements and define measurable success criteria. • Turn ambiguity into structured thinking and validated hypotheses. • Identify opportunities to improve activation, retention, revenue, or operational efficiency. • Define MVP vs V1 vs V2 iterations and define the requirement • Goals & KPIs • In-scope / out-of-scope • User stories & acceptance criteria • Edge cases & risks • Maintain clear decision logs and documentation. • Prevent scope creep through structured thinking. • Design intuitive user flows and information architecture. • Think deeply about onboarding, empty states, failure states, and microcopy. • Ensure experiences align with platform conventions. • Ship functional, usable interfaces even when design support is limited. • Advocate for customer clarity and simplicity. • Architect scalable systems across frontend, backend, APIs, automation, and AI workflows. • Ship production-grade code with high reliability and maintainability. • Balance latency, performance, scalability, and cost. • Build integrations and automation frameworks. • Own migrations, backward compatibility, and system resilience. • Build LLM-powered features, agents, or workflow automation. • Design evaluation loops and guardrails. • Optimize inference cost, latency, and reliability. • Continuously iterate based on real usage signals. • Define KPIs for every feature shipped. • Instrument events, funnels, and telemetry. • Monitor adoption, activation, engagement, and failure metrics. • Run lightweight experiments or A/B tests. • Use data to drive iteration and continuous improvement. • Improve system observability and monitoring. • Automate internal workflows to reduce cycle time. • Maintain clean documentation and runbooks. • Continuously reduce tech debt and UX debt.

🎯 Requisitos

• Demonstrated track record of shipping production systems • Strong systems thinking and logical reasoning • High ownership mindset; operates well with minimal supervision • Comfortable with ambiguity and fast iteration cycles • Experience with APIs, automation tools, or AI platforms • Ability to reason about infrastructure tradeoffs and system reliability • Experience building LLM-based or AI-driven products • Familiarity with evaluation frameworks, monitoring, or instrumentation • Experience with data pipelines, analytics, or telemetry • Strong UX and front-end sensibility • Portfolio or GitHub showcasing deployed systems • Stack: React / Vue / Angular · Node.js / Python / Java

🏖️ Benefícios

• Remote-first flexibility. • AI-native innovation environment. • High ownership and autonomy. • Fast decision-making and minimal bureaucracy. • Opportunity to build products used by millions.