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ABOUT LVT

We are seeking a Senior Manager of Fullstack Software Engineering to lead high-performing teams building the user-facing platforms and robust backend services that power LVT's intelligent site technology. In this role, you will bridge the gap between complex physical edge data and intuitive cloud applications, directing the architecture of scalable APIs and highly responsive user interfaces. You will collaborate closely with Product, Design, and Platform teams to deliver seamless, real-time security and operational intelligence to our customers while mentoring and growing a world-class engineering team.

This role is based in-office out of our Headquarters in American Fork, Utah.

ROLE RESPONSIBILITIES

• Team Leadership & Talent Development: Lead, coach, and grow high-performing teams of fullstack, frontend, and backend engineers. Recruit exceptional talent while building an environment that promotes mentorship, ownership, and long-term retention.
• Fullstack Architecture & Scalability: Partner with Principal Engineers and Architects to design, build, and maintain highly scalable, cloud-native backend services and performant frontend architectures capable of processing real-time video and IoT data streams.
• Product & UI/UX Collaboration: Work closely with Product Management and Product Design (UX/UI) to translate user needs into intuitive, high-quality interfaces and seamless end-to-end customer workflows.
• Technical Strategy & Execution: Translate product strategy into technical roadmaps and execution plans, balancing near-term feature delivery with long-term architectural health and scalability.
• Engineering Excellence: Establish and champion modern software engineering practices, including comprehensive testing, robust CI/CD pipelines, code reviews, and proactive application performance monitoring.
• Data Integration & APIs: Oversee the development of secure, efficient, and well-documented APIs (REST, GraphQL, gRPC) that seamlessly connect our cloud-based user platforms with edge devices and downstream AI services.
• Developer Experience & Velocity: Continually optimize internal development workflows, tools, and environments to maximize developer productivity, minimize friction, and accelerate delivery cycles.
• Cross-functional Alignment: Partner with Security, Infrastructure, AI/ML, and Hardware teams to ensure cohesive integration across the entire LVT product ecosystem.

OUR IDEAL CANDIDATE

• Engineering Leadership Experience: 10+ years of professional software engineering experience, including 4+ years of directly managing and growing fullstack or product-focused engineering teams in high-growth environments.
• Fullstack Technical Expertise: Strong technical foundation with modern frontend frameworks (e.g., React, TypeScript) and robust backend ecosystems (e.g., Python, Go, Node.js).
• Scalable Cloud Systems: Proven experience designing and operating highly available cloud-native architectures (preferably AWS) that support high-throughput data, streaming, or large-scale IoT integrations.
• Product & Design Centricity: A strong eye for user experience and a track record of successfully delivering consumer-grade or complex enterprise SaaS web applications.
• API Design & Integration: Deep understanding of modern API patterns, state management, and asynchronous data flows.
• Talent Builder: Demonstrated success hiring, mentoring, and developing engineers across various career levels, fostering a culture of psychological safety, high performance, and continuous learning.
• Strategic Decision Making: Ability to balance commercial and business urgency with technical debt, engineering capacity, and architectural scalability.
• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

PREFERRED QUALIFICATIONS

• Experience with real-time video streaming protocols (e.g., WebRTC, HLS) and complex data visualization tools.
• Familiarity with IoT, computer vision, or AI/ML integrations in user-facing web applications.
• Experience in high-growth startup or scale-up environments.