🕒 2 dias atrás
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $207.000 - $250.000 / ano
⏰ Tempo Integral
🔴 Especialista
🖥 Engenheiro de Software
👻 Score fantasma 0%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.
• Lead engineering teams building learner and enterprise platforms and emerging AI experiences • Set the cross-platform architecture strategy, including domain ownership, decision rights, and technical guardrails • Assess technical debt and risk to guide capacity investments and recommend tradeoffs to leadership • Lead engineering integration of AI into customer-facing platforms, including architecture, security, and governance • Design and deliver agent-facing services that expose FranklinCovey capabilities to AI agents • Own data architecture for AI features, reporting pipelines, and governance • Manage and develop engineering managers and individual contributors through coaching, goal setting, and performance management • Own cross-platform QA and test-automation strategy, including test coverage, CI gates, and release readiness • Establish knowledge-sharing pathways across teams • Strengthen code standards, CI/CD, incident response, SLAs/SLOs, and common tooling • Ensure accessibility, localization, and compliance readiness across content and UI • Partner with IT and Cloud Ops on cloud migrations, vulnerability management, and audit readiness • Own portfolio outcomes across roadmap, execution, and reliability • Improve estimation, capacity planning, and sprint readiness • Represent engineering and AI to executives, customers, and prospects • Collaborate on engineering budget and headcount planning
• Bachelor's or advanced degree in Software Engineering, Computer Science, or related field, or equivalent experience • 10+ years of experience in software engineering, platform engineering, technology delivery, or related experience • 5+ years leading managers and multi-team programs • Proven experience leading the design and delivery of a production MCP server or equivalent tool-calling integration connecting LLM-powered agents to enterprise data and services, including authentication, security, evaluation, and observability • Deep familiarity with LLM-powered systems, including retrieval-augmented generation (RAG), tool use, and multi-agent coordination • Experience building MCP Apps and interactive UI experiences inside AI clients such as Claude and ChatGPT • Experience with JavaScript, Python, C#, React, Django, .NET, and AWS • Experience architecting and executing a data strategy across products or platforms • Experience leading multi-team enterprise SaaS programs managing managers and individual contributors • Collaboration with IT/SecOps on security, compliance, and cloud infrastructure • Strong hiring, coaching, and performance management experience • Experience developing engineering leaders with clear domain ownership and decision rights • Clear communication with technical and non-technical audiences, including executives and customers • Familiarity with learning platforms, content delivery, or enterprise admin tooling, including multi-tenant SaaS and accessibility/localization
• 15% variable pay • Medical insurance • Dental insurance • Vision insurance • HSA • Employee stock purchasing program • 401(k) • Paid time off • Holiday pay
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