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Senior Manager, Software Engineering (HQ)

LVT (LiveView Technologies)
American Fork, USA
Full-time
Onsite
Discovered 1 months ago
Software engineeringFullstack engineeringEngineering team managementReactTypeScriptNext.js

Full Job Posting

Role overview

Lead fullstack software engineering teams building LVT customer-facing platforms and backend services for intelligent site technology.

Bridge physical edge data and cloud applications, directing scalable APIs and responsive user interfaces.

Partner with Product, Design, and Platform teams to deliver real-time security and operational intelligence.

Workplace

  • This role is based in the office at LVT headquarters in American Fork, Utah.

Responsibilities

  • Own customer-facing web and mobile experiences, including operator consoles, admin portals, and site management workflows.
  • Partner with Product and Design to create intuitive, role-aware interfaces based on operator needs.
  • Oversee agentic AI workflows that let customers configure, monitor, act on, and document site operations.
  • Design scalable cloud-native backend services and performant frontend architectures for real-time video and IoT streams.
  • Lead, coach, recruit, and develop fullstack, frontend, and backend engineers.
  • Turn product strategy into technical roadmaps and execution plans while balancing delivery, architecture, and scalability.
  • Champion automated testing, CI/CD, code reviews, and performance monitoring; improve engineering workflows.
  • Coordinate with Security, Infrastructure, AI/ML, and Hardware teams on product integration.

Ideal candidate qualifications

  • 10+ years of professional software engineering experience, including 4+ years managing fullstack or user-facing product engineering teams in high-growth SaaS.
  • Strong UI/UX judgment and experience improving complex enterprise web and mobile workflows.
  • Technical foundation across frontend frameworks such as React, TypeScript, and Next.js and backend technologies such as Node.js, Python, Go, GraphQL, and REST.
  • Experience or strong interest in agentic AI workflows, LLM orchestration, or intelligent automation.
  • Experience with highly available cloud-native systems supporting high-throughput data, video, or large-scale IoT; AWS preferred.
  • Track record hiring, mentoring, and developing engineers; ability to balance business urgency, technical debt, capacity, and scalability.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Preferred qualifications

  • Real-time video streaming protocols such as WebRTC or HLS and complex data visualization tools.
  • IoT, computer vision, or AI/ML integrations in user-facing web applications.
  • Experience in a high-growth startup or scale-up environment.

Benefits

  • Full-time benefits include health, dental, and vision coverage, retirement benefits with a 401(k) match up to 4%, and flexible PTO.

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