đĽ 12 hours ago
đşđ¸ United States â Remote
đľ $207k - $250k / year
â° Full Time
đ´ Lead
đĽ Software Engineer
đť Ghost score 0%
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⢠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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