This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Director of Engineering, Applied Intelligence & Data Platforms will be responsible for overseeing the vision, execution, and development of AI solutions for our products. We are looking for a leader who balances deep expertise in machine learning with the ability to build and orchestrate distributed systems at scale. - Oversee multiple existing teams and help bootstrap new teams based on our planned roadmap and customer opportunities. - Work closely with existing product and senior leadership to align AI initiatives with LVT business goals. - Ensure the successful implementation of AI technologies that deliver significant value. Role 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. - 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. - Cross-functional & Stakeholder partnership: Collaborate and communicate AI strategy, progress, and outcomes to stakeholders, including the executive team, board of directors, and investors. Qualifications - 10+ years of engineering experience, including 5+ years of applied AI/ML leadership. - Deep understanding of modern cloud technologies and orchestration engines for high-availability, multi-region services. - Proven track record in the IoT space, specifically building infrastructure for cameras and sensors in production environments. - Expert knowledge of computer vision models, Large Language Models (LLMs), and Large Vision Models (LVMs) and Agentic AI frameworks. - Proficiency in Python, C++, or Java, and experience with frameworks such as PyTorch, TensorFlow, or scikit-learn. - Practical experience deploying and optimizing models for edge hardware (e.g., NVIDIA Jetson). - Deep understanding of machine learning algorithms, data preprocessing, model evaluation, and deployment. - Demonstrated ability to think strategically and make data-driven decisions. - Degree in Computer Science, Data Science, Engineering, or a related field. Compensation The beginning annual salary range for this role is $243,000.00 - $324,000.00 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. Benefits - Comprehensive health, family, and financial support. - Benefits package designed to support you inside and outside the office. Equal Opportunity Employment 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.

• Optimize the sales tech stack with a primary focus on Salesforce CRM and MariaDB data integration. • Manage system configurations, troubleshoot complex data workflows, and promote the adoption of advanced technologies. • Bridge the gap between traditional CRM management and modern AI automation. • Leverage AI, machine learning, and automated workflows to enhance CRM performance, drive predictive data insights, and streamline commercial execution. • Manage Salesforce processes including Pages, Objects, Fields, Validation Rules, Territory/Role Hierarchies, and User Setup. • Support data flow and integrity between MariaDB databases and the Salesforce environment; assist in SQL querying for advanced data extraction. • Serve as the primary contact for CRM support channels, resolving technical issues and managing system upgrades. • Lead onboarding and ongoing training for sales teams, maintaining updated user documentation and video tutorials. • Generate and analyze reports using Power BI or similar tools to track KPIs, territory optimization, and sales forecasting. • Knowledge of AI-driven tools for predictive analytics and machine learning models to enhance user behavior analysis. • Utilize low-code/no-code automation tools (e.g., Flow, Zapier, or Make.com) to streamline CRM workflows and reduce manual data entry. • Translate complex datasets into actionable business insights, ensuring technology programs stay at the forefront of industry standards. • Partner with global support teams to maintain data integrity and accuracy across all platforms. • Develop technical guides and maintain a library of standard operating procedures (SOPs).

• Optimize the sales tech stack with Salesforce CRM and MariaDB data integration. • Manage system configurations, troubleshoot complex data workflows, and promote advanced technologies. • Bridge the gap between traditional CRM management and modern AI automation. • Leverage AI, machine learning, and automated workflows to enhance CRM performance. • Generate and analyze reports using Power BI or similar tools. • Utilize low-code/no-code automation tools to streamline CRM workflows.

• Manage Salesforce processes including Pages, Objects, Fields, Validation Rules, Territory/Role Hierarchies, and User Setup. • Support data flow and integrity between MariaDB databases and the Salesforce environment; assist in SQL querying for advanced data extraction. • Serve as the primary contact for CRM support channels, resolving technical issues and managing system upgrades. • Lead onboarding and ongoing training for sales teams, maintaining updated user documentation and video tutorials. • Generate and analyze reports using Power BI or similar tools to track KPIs, territory optimization, and sales forecasting. • Knowledge of AI-driven tools for predictive analytics and machine learning models to enhance user behavior analysis. • Utilize low-code/no-code automation tools (e.g., Flow, Zapier, or Make.com) to streamline CRM workflows and reduce manual data entry. • Translate complex datasets into actionable business insights, ensuring technology programs stay at the forefront of industry standards. • Partner with global support teams to maintain data integrity and accuracy across all platforms. • Develop technical guides and maintain a library of standard operating procedures (SOPs).