Director of Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead engineering teams focused on developing learner and enterprise platforms as well as innovative AI experiences.

• Establish the cross-platform architecture strategy, which includes domain ownership, decision-making rights, and technical guardrails.

• Evaluate technical debt and risks to inform capacity investments and suggest trade-offs to leadership.

• Direct the engineering integration of AI into customer-facing platforms, encompassing architecture, security, and governance.

• Design and implement services for agents that showcase FranklinCovey capabilities to AI agents.

• Oversee data architecture for AI functionalities, reporting pipelines, and governance.

• Manage and mentor engineering managers and individual contributors through coaching, goal-setting, and performance assessments.

• Take charge of the cross-platform QA and test automation strategy, which includes test coverage, CI gates, and release readiness.

• Create knowledge-sharing pathways among teams.

• Enhance code standards, CI/CD processes, incident response, SLAs/SLOs, and shared tooling.

• Ensure accessibility, localization, and compliance readiness across content and user interfaces.

• Collaborate with IT and Cloud Operations on cloud migrations, vulnerability management, and audit preparedness.

• Manage portfolio outcomes related to roadmap, execution, and reliability.

• Refine estimation, capacity planning, and sprint readiness.

• Represent engineering and AI initiatives to executives, customers, and prospects.

• Work together on engineering budget and headcount planning.

⛳️ Requirements

• Bachelor's or advanced degree in Software Engineering, Computer Science, or a related field, or equivalent experience.

• Over 10 years of experience in software engineering, platform engineering, technology delivery, or a similar area.

• More than 5 years of experience leading managers and overseeing multi-team programs.

• Demonstrated experience in the design and delivery of a production MCP server or a comparable tool-calling integration that connects LLM-powered agents to enterprise data and services, including aspects like authentication, security, evaluation, and observability.

• Extensive knowledge of LLM-powered systems, including retrieval-augmented generation (RAG), tool utilization, and multi-agent coordination.

• Experience in developing MCP Apps and interactive UI experiences within AI clients such as Claude and ChatGPT.

• Proficiency in JavaScript, Python, C#, React, Django, .NET, and AWS.

• Experience in architecting and implementing a data strategy across various products or platforms.

• Proven track record in leading multi-team enterprise SaaS programs, managing both managers and individual contributors.

• Collaboration with IT/SecOps on security, compliance, and cloud infrastructure matters.

• Strong skills in hiring, coaching, and managing performance.

• Experience in developing engineering leaders with defined domain ownership and decision-making authority.

• Ability to communicate clearly with both technical and non-technical audiences, including executives and customers.

• Familiarity with learning platforms, content delivery, or enterprise administrative tools, including multi-tenant SaaS and accessibility/localization considerations.

🏝️ Benefits

• 15% variable pay.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Health Savings Account (HSA).

• Employee stock purchasing program.

• 401(k) plan.

• Paid time off.

• Holiday pay.