Product Engineer

🕒 Outubro 29

🇵🇰 Paquistão – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 12%

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• Aberta há 16 dias.
• Sem salário divulgado.

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KnowledgeCity

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2007

👥 RH Tech

☁️ SaaS

📋 Conformidade

HR Tech • SaaS • Compliance

A KnowledgeCity é uma plataforma de desenvolvimento da força de trabalho orientada por IA que combina uma ampla biblioteca multilíngue de treinamentos com um sistema completo de gestão de aprendizagem e módulos para criação de cursos, gestão de desempenho, avaliação e mapeamento de competências, gestão de segurança e conformidade, simulação de phishing, gestão de POPs e políticas, além de gestão de talentos, recrutamento e onboarding. A plataforma se integra a sistemas HRIS e LMS, automatiza processos de conformidade e recertificação, gera conteúdos de cursos e avaliações com recursos de IA e oferece suporte a analytics, aplicativos móveis e integrações de segurança corporativa. A solução atende equipes de RH, Learning & Development e compliance de organizações de diversos setores.

Descrição

• Own the complete lifecycle of an assigned product domain, from discovery and specification through design, engineering, QA, documentation, deployment, and continuous improvement. • Direct and orchestrate a full suite of AI agents across all delivery disciplines while maintaining visibility and control over outputs. • Deliver production-ready improvements continuously with quality-first release discipline. • Conduct post-deployment validation within one hour of every production release using core workflows, admin journeys, edge cases, and live production data. • Monitor deployment health, detect regressions, and initiate rollback when production stability is at risk. • Ensure enterprise-grade release readiness, cross-environment testing, rollback readiness, and deployment quality tracking. • Own UX quality and customer-facing workflow evaluation, including regular AI-assisted UX audits. • Ensure user guides, API documentation, and operational notes ship with every feature. • Proactively communicate risks, blockers, scope changes, forecasts, release coordination updates, and post-deployment status to the Program Delivery Manager or Head of Product. • Prioritize work based on customer outcomes, business value, user satisfaction, support ticket reduction, and feature adoption. • Maintain a prioritized improvement backlog using support tickets, QA audits, UX findings, usage analytics, and stakeholder feedback.

🎯 Requisitos

• 5+ years of hands-on experience in product management, engineering management, or a closely related discipline - with demonstrated ability to own and deliver end-to-end product outcomes independently. • Proven track record of shipping real, production-grade products end-to-end - not just features within a larger team structure. • Background spanning at least two of: software engineering, product management, UX design, or QA - with the ability to operate credibly across the full product lifecycle. • Hands-on experience with AI-assisted development tools and a strong understanding of how to direct and review AI-generated output at production quality. • Demonstrated experience owning production outcomes - including post-deploy validation, regression management, incident response, and deployment health monitoring. • Experience evaluating and improving customer-facing workflows and UX quality - not limited to technical implementation alone. • Background in agile, high-velocity delivery environments with a strong bias for continuous, quality-first delivery rather than batch-release cycles. • Familiarity with database performance fundamentals (query optimization, indexing, execution planning) is a strong plus. • EdTech or SaaS product experience preferred but not required. • Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline required. • Master's degree preferred. • Certified Scrum Product Owner (CSPO) or an equivalent Product Management certification. • Full product lifecycle ownership: strategy, discovery, design, engineering, QA, documentation, deployment, and post-release validation - independently and at pace. • Production accountability mindset: you own what ships, you own what breaks, and you fix it - without escalating raw problems or waiting for direction. • Customer workflow thinking: ability to evaluate product experiences from a real user's perspective, not just a technical implementation standpoint. • Enterprise delivery discipline: release governance, cross-environment testing, rollback readiness, deployment quality tracking, and stability assurance. • AI agent direction: operates and orchestrates AI agents as high-output delivery partners - not as a crutch. Reviews every output critically before it touches production. • Product intuition: strong instinct for what to build, why it matters to users, and how to connect engineering decisions to business outcomes. • Proactive communication: surfaces risks and blockers early, communicates delivery status clearly, and escalates with solutions - not questions. • Systems thinking: understands how their domain connects to the broader product ecosystem and considers upstream and downstream impact before making changes. • Self-managing execution: operates with minimal supervision, unblocks independently, and holds a consistently high quality bar without external enforcement. • Advanced English proficiency, both written and spoken, is mandatory for effective communication with partners and clients.

🏖️ Benefícios

• High autonomy and direct domain ownership - you run your product, not a ticket queue. • Work at the frontier of AI-native product engineering. • Paid time off and a supportive, high-trust team environment. • Opportunities for professional growth through access to training materials and company courses. • Competitive compensation commensurate with experience.

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