- Страна
- США
- Зарплата
- 255 000 $ – 327 000 $
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Director of Engineering, Applied Intelligence & Data Platforms
Исключительная позиция в быстрорастущей компании с признанным лидерством. Высокий уровень компенсации, наличие опционов и возможность работать с передовыми технологиями (Agentic AI, Edge computing) делают эту вакансию очень привлекательной для топ-менеджмента.
Сложность вакансии
Высокая сложность обусловлена необходимостью сочетать глубокие знания в области AI/ML (LLM, LVM, Agentic AI) с опытом управления распределенными облачными системами и IoT-устройствами на уровне Director. Требуется более 10 лет опыта и готовность отвечать за стратегию всей платформы данных.
Анализ зарплаты
Предлагаемая зарплата ($255k - $327k) находится на верхнем уровне рыночных ожиданий для позиции Director of Engineering в Сиэтле, особенно с учетом бонусов и акций. Это соответствует уровню Tier-1 технологических компаний.
Сопроводительное письмо
I am writing to express my strong interest in the Director of Engineering, Applied Intelligence & Data Platforms position at LVT. With over a decade of experience in engineering leadership and a deep specialization in scaling distributed systems and AI/ML initiatives, I am impressed by LVT’s mission to redefine physical security through actionable intelligence. My background in orchestrating multi-region cloud services and deploying computer vision models to edge devices like NVIDIA Jetson aligns perfectly with your current roadmap.
In my previous roles, I have successfully led cross-functional teams of MLOps engineers and data scientists to bridge the gap between high-performance cloud infrastructure and real-world IoT applications. I am particularly excited about LVT’s focus on Agentic AI and the Model Context Protocol, as I believe these technologies are the key to the next evolution of intelligent site technology. I am confident that my strategic approach to AI governance and my experience in building scalable data pipelines will contribute significantly to LVT’s continued growth and innovation.
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Описание вакансии
ABOUT LVT
LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform—that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it.
We’re a team that’s focused on growth and innovation, and we’re proud that our crew, products, and leadership are being recognized for it.
- A Top-Tier Growth Company: Named one of the Financial Times’ Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky Mountain Regional list for 2025.
- Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024.
- Product & Software Excellence: We were named one of The Software Report’s Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025.
ABOUT THIS ROLE
The Director of Engineering, Applied Intelligence & Data Platforms will lead the development of LVT’s core data and intelligence platform, driving the integration of distributed cloud services and applied AI to transform massive sensor data into actionable, real-world insights.
We are looking for a leader who balances deep expertise in machine learning with the ability to build and orchestrate & distributed systems at scale. You must have a strong background in the IoT space, with the ability to bridge the gap between high-performance cloud services and edge-computing environments. This leader will oversee multiple existing teams as well as help bootstrap new teams, based on our planned roadmap and customer opportunities - consisting of full-stack developers, MLOps engineers, AI/ML engineers, data scientists, and full stack engineers. You will work closely with existing product and senior leadership to align AI initiatives with LVT business goals and ensure the successful implementation of AI technologies that deliver significant value.
KEY RESPONSIBILITIES
- Strategic AI Leadership: Work with senior leadership to develop a technical AI strategy that aligns with LVT business goals and strengthens our competitive advantage.
- Scalable Architecture: Design and build multi-region distributed services capable of handling massive data throughput from globally deployed IoT sensors and cameras.
- Team Management: Mentor and lead a collaborative team of machine learning engineers, MLOps engineers, and data scientists.
- Agentic AI & MCP: Lead the architecture and implementation of agentic AI frameworks and define the strategy for LVT’s Model Context Protocol (MCP).
- Edge-to-Cloud Integration: Oversee the development of robust data pipelines and infrastructure that span from cloud orchestration engines to edge devices like NVIDIA Jetson.
- Model Lifecycle: Establish benchmarks for model performance, monitoring outputs and adjusting for accuracy and product effectiveness.
- Data Governance & Ethics: Ensure all AI development adheres to strict data security, privacy, and ethical guidelines within our SaaS environment
- Research and Innovation: Stay current with the latest developments in AI research and methodologies. Encourage and support the exploration of new techniques and technologies to enhance the company’s AI capabilities, and strengthen the company’s competitive advantage.
- Data Strategy and Governance: Ensure the use of high-quality, reliable data to train AI models. Implement AI data governance best practices to maintain the integrity, privacy, and data security.
- Compliance and Ethics: Ensure that AI model development adheres to industry standards, ethical guidelines, and regulatory requirements. Promote responsible AI practices within the organization.
- Cross-functional & Stakeholder partnership: Collaborate and Communicate AI strategy, progress, and outcomes to stakeholders, including the executive team, board of directors, and investors.
QUALIFICATIONS
- Experience: 10+ years of engineering experience, including 5+ years of applied AI/ML leadership.
- Cloud & Orchestration: Deep understanding of modern cloud technologies and orchestration engines for high-availability, multi-region services.
- IoT Expertise: Proven track record in the IoT space, specifically building infrastructure for cameras and sensors in production environments.
- AI Specialization: Working knowledge of computer vision models, Large Language Models (LLMs), and Large Vision Models (LVMs) and Agentic AI frameworks.
- Hardware Knowledge: Practical experience deploying and optimizing models for edge hardware (e.g., NVIDIA Jetson).
- Technical Skills: Deep understanding of machine learning algorithms, data preprocessing, model evaluation, and deployment. Experience with AI frameworks, concepts and tools like TensorFlow, PyTorch, scikit-learn, LoRA, LLM’s, VLM’s, and CLIP.
- Strategic Thinking: Demonstrated ability to think strategically and make data-driven decisions. Experience in developing and executing strategic plans that meet business needs.
- Education: Degree in Computer Science, Data Science, Engineering, or a related field.
COMPENSATION
The beginning annual salary range for this role is $255,000.00 - $327,000.00 USD and is determined by location, job-related experience, and education/training. Your total earning potential is amplified by a bonus structure tied to meeting goals, and you will become an owner from day one through our employee equity program.
LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.
BENEFITS
We believe you do your best work when your whole life is supported. We invest in our crew’s health, families, and financial futures with a benefits package designed to support you inside and outside the office.
*LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.*
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Навыки
- Machine Learning
- Artificial Intelligence
- Computer Vision
- MLOps
- IoT Systems
- NVIDIA Jetson
- TensorFlow
- PyTorch
- Scikit-learn
- Large Language Models
- Distributed Systems
- Cloud Computing
- Data Governance
Возможные вопросы на собеседовании
Проверка опыта интеграции облачных решений с аппаратным обеспечением на периферии.
Расскажите о вашем опыте оптимизации и развертывания моделей компьютерного зрения на устройствах NVIDIA Jetson в промышленных масштабах.
Оценка стратегического видения в области современных AI-технологий.
Как бы вы подошли к реализации Agentic AI и Model Context Protocol (MCP) в рамках существующей экосистемы LVT?
Проверка навыков управления высоконагруженными системами.
Опишите ваш опыт проектирования мультирегиональных распределенных сервисов для обработки огромных потоков данных с IoT-сенсоров.
Оценка лидерских качеств и умения формировать команды.
Каков ваш подход к созданию новых команд с нуля (bootstrapping) и как вы обеспечиваете баланс между MLOps, Data Science и Full-stack разработкой?
Проверка этического подхода к данным.
Как вы обеспечиваете соблюдение стандартов безопасности и этических норм при обучении моделей на данных клиентов в SaaS-среде?
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- Страна
- США
- Зарплата
- 255 000 $ – 327 000 $