Jobs at LVT

Leads UX strategy and design across LVT’s hardware, deployment, web, and mobile product ecosystem. Builds and mentors the design and research organization, establishes scalable design systems, advocates for design at the executive level, and transforms complex technical data into intuitive enterprise experiences. Drives user research, AI-native design workflows, cross-functional collaboration, recruiting, and measurable design outcomes while contributing hands-on to strategic initiatives.

Lead LVT’s application and product security program across its multi-tenant cloud platform, APIs, mobile clients, AI/ML pipelines, edge devices, and firmware. Manage and mentor security engineers, hire additional staff, establish a Security Champions program, and embed threat modeling and secure SDLC automation into engineering. Oversee tenant isolation, AI and firmware security, compliance evidence, vulnerability disclosure, incident response, and security telemetry while partnering closely with product, engineering, hardware, and SecOps teams.

Leads fullstack engineering teams building web and mobile platforms, scalable backend services, real-time interfaces, and AI-enabled workflows for intelligent site technology. Owns technical strategy, architecture, delivery, engineering excellence, and talent development while partnering with Product, Design, Platform, Security, AI/ML, and Hardware teams. The role is based in-office in American Fork, Utah.

Own R&D and product development budgeting, forecasting, ROI, capacity planning, and headcount planning. Partner with Engineering and Product leaders to guide investment decisions and translate roadmaps into financial impacts. Lead executive-level financial modeling and special projects involving margins, unit economics, pricing, and profitability. Support broader FP&A reporting while improving processes for a scaling hardware and SaaS company.

Architect and implement scalable, secure AWS infrastructure supporting AI and IoT systems. Build Terraform-based infrastructure as code, manage Kubernetes clusters, develop GitHub Actions and ArgoCD CI/CD pipelines, engineer cloud-to-field networking, build internal automation tools, and improve observability. Lead technical design reviews, troubleshoot distributed systems, and mentor junior engineers. This is a hybrid role based in Seattle.

Provides organization-wide technical direction for full-stack software across React, Next.js, GraphQL, backend services, data systems, and real-time device-control flows. Responsibilities include architecture, cross-service debugging, GraphQL federation governance, reliability and observability improvements, mentoring engineers, and optimizing type safety, CI/CD, legacy systems, and developer on-call practices.

Build and operate the cloud backbone for an agentic AI platform, including highly reliable event pipelines, dispatchers, materialized projections, context stores, APIs, and observability. Own scalability, ordering, replay, idempotency, schema enforcement, failure handling, dashboards, alerting, and operational readiness. Partner with edge, data, infrastructure, agent, and computer vision teams to support reliable agent execution across tens of thousands of devices.

Leads product marketing strategy for AI-driven hardware and software products. Develops positioning, executive messaging, pricing and packaging recommendations, sales enablement, competitive intelligence, market research, and go-to-market plans. Partners cross-functionally with Product, Sales, Finance, and Marketing to translate complex technology into customer value, influence product priorities, support major deals, and build scalable marketing processes and collateral.

Own inventory, cost, and fixed asset accounting for manufacturing operations. Responsibilities include reconciliations, variance analysis, cycle counts, standard cost updates, fixed asset accounting, Oracle ERP implementation support, monthly close, audits, compliance, process improvement, and mentoring junior accounting staff. Partner with Manufacturing, Supply Chain, Engineering, and Operations to ensure accurate US GAAP reporting and effective financial controls.

Leads connectivity development and lifecycle management for distributed embedded products. Designs networking architectures and standards, integrates cellular modems, supports carrier certification and antenna testing, evaluates vendors and technologies, and manages connectivity performance and fleet operations. Partners cross-functionally with product, hardware, firmware, manufacturing, and operations teams, while mentoring engineers and representing connectivity initiatives to executives, customers, and technology partners.

Owns the enterprise Okta ecosystem and SaaS integrations, including identity architecture, SSO, MFA, lifecycle workflows, automation, monitoring, and access governance. The role audits and remediates identity infrastructure, implements integrations using SAML, OAuth, OIDC, and SCIM, automates provisioning with PowerShell or Python, supports compliance evidence, and troubleshoots complex authentication incidents. This is an on-site senior individual contributor role requiring collaboration with Security, Networking, and Application Engineering teams.

Designs, scales, secures, and optimizes multi-region AWS infrastructure supporting an AI platform and global IoT edge fleet. Responsibilities include Kubernetes and EKS management, Terraform and Terragrunt infrastructure automation, GitOps deployment pipelines, cloud operations, identity and secrets management, zero-trust security, observability, cost optimization, and technical documentation. The role partners with software and hardware engineering teams to improve system reliability, deployment velocity, and operational health.

Lead software and AI engineering teams building agentic AI platforms, distributed systems, autonomous workflows, and edge-to-cloud intelligence. Responsibilities include technical strategy, scalable architecture, AI model deployment, MLOps, reliability, developer productivity, talent development, and cross-functional execution across cloud, edge, hardware, and product teams.

Lead backend architecture and technical direction for scalable cloud services and APIs. Build Node.js and TypeScript systems, improve reliability and performance, optimize CI/CD workflows, collaborate across Product, QA, and DevOps, resolve complex technical issues, and mentor engineers. The role also establishes engineering standards, drives technical initiatives, and evaluates emerging technologies.

Own complex, cross-functional technical programs from scoping through launch, translating ambiguous goals into delivery plans, managing dependencies and risks, and providing executive visibility through dashboards and schedules. Partner with engineering, cloud, platform, technology, and ecosystem teams to deliver outcomes. Improve program processes, tools, and reporting while applying AI capabilities to optimize workflows. Experience with developer tools, software pipelines, internal platforms, Jira, Smartsheet, and technical partner delivery is expected.

Own the end-to-end ML and LLM lifecycle, including model packaging, CI/CD, serving, versioning, rollback, monitoring, drift detection, evaluation, guardrails, and cost and latency observability. Define API boundaries between the ML platform and application backend, build self-service deployment tooling, establish operational standards, and mentor engineers. The role supports computer vision, LLM, VLM, and agentic workloads in production.

Own the end-to-end ML data flywheel, including telemetry and video ingestion, layered lakehouse datasets, labeling, annotations, evaluation sets, versioning, governance, provenance, and self-service integrations. Build scalable multimodal data pipelines and libraries for PyTorch, Lightning, and Spark. Establish dataset contracts, quality gates, technical standards, and mentorship while partnering with AI research, MLOps, annotation, edge, and infrastructure teams.

Leads fullstack software engineering teams developing customer-facing web and mobile platforms, scalable backend services, AI-powered workflows, and real-time IoT and video applications. Owns technical strategy, architecture, delivery, engineering excellence, cross-functional alignment, and talent development while partnering with Product, Design, Platform, AI/ML, Security, Infrastructure, and Hardware teams.

Leads technical direction for a backend engineering team while building production Node.js and TypeScript services and APIs. Responsibilities include architecture, hands-on development, mentoring, code and design reviews, process improvement, cross-functional collaboration, project delivery, and evaluating emerging technologies. The role requires strong backend experience, technical leadership, problem-solving, communication, and familiarity with APIs, infrastructure, and agile development.

Product and Privacy Counsel will advise product, engineering, and commercial teams on privacy, data protection, consumer protection, and AI regulations. Responsibilities include negotiating technology agreements, managing privacy questionnaires and due diligence, supporting data mapping and compliance programs, developing legal templates and playbooks, and using AI tools to improve legal workflows. The role requires practical knowledge of CCPA/CPRA and GDPR, commercial technology contracting experience, a J.D., and an active Utah bar license or eligibility for limited in-house counsel licensure.