Director Technical Product Management - Artificial Intelligence (AI)

As Director Technical Product Management – Artificial Intelligence (AI) at Honeywell Technologies, you will serve as the strategic technical leader responsible for defining, developing, and bringing embedded AI-enabled products to market. This role focuses on the end-to-end software platform running on a device, including what should be built, why it should be built, and how the overall platform strategy will succeed.

In this role, you will impact the overall success of our technology solutions by providing product and platform leadership, driving market readiness, and coordinating internal engineering teams and external strategic partners to deliver scalable, secure, compliant, and commercially viable AI-enabled solutions. You will also engage with business teams, customers, senior leadership, and strategic partners to align roadmaps with market needs and growth initiatives.

You will report directly to our Senior Director Business Development – Forge & AI and work out of our Atlanta, GA location on a hybrid work schedule. 

KEY RESPONSIBILITIES 

• Own the vision, roadmap, and execution of embedded AI-enabled product and platform solutions.
• Drive technical product management initiatives from initiation through execution, ensuring alignment with business objectives, customer needs, and market readiness.
• Build and evolve the embedded AI software platform roadmap, including the end-to-end device software strategy and platform capabilities required for successful commercialization.
• Collaborate closely with cross-functional teams to define and execute high-level architecture strategies and product roadmaps that incorporate AI technologies.
• Coordinate internal engineering teams and partner with external strategic partners to deliver products quickly and effectively across organizations.
• Provide technical oversight across the complete embedded software stack, including embedded Linux, Kubernetes, device management, data platforms, agentic AI frameworks, and on-device AI architecture and deployment operations.
• Engage with business teams and customers to gather requirements and feedback, ensuring that solutions meet market demands and support growth initiatives.
• Present ideas, recommendations, and program updates to senior leadership, influencing strategy and execution decisions while representing programs with strategic partners.
• Champion a growth mindset within the team, promoting innovative growth initiatives and continuous improvement across all projects.
• Ensure cohesive integration of firmware, embedded software, device operations, data platforms, AI capabilities, and testing processes to deliver high-quality technology solutions.

YOU MUST HAVE

• 10+ years of experience in architecture, development, technical product management, technical program management, or engineering leadership.
• Demonstrated knowledge and experience with system architecture principles and integration for complex embedded software platforms.
• Experience in embedded software development, including embedded Linux, Kubernetes, device management, data platforms, and on-device AI architecture and deployment operations.
• Deep knowledge of AI technologies, including AI tech stacks, agentic AI frameworks, and best practices for developing and commercializing AI-enabled products.

 

US PERSON REQUIREMENTS

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.

 

WE VALUE

• Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics; Advanced degree in Engineering or related field 
• Experience in technical product management, technical program management, engineering leadership, or system architecture leadership roles, with the ability to lead initiatives from concept through execution, roadmap delivery, and market readiness.
• Proven ability to translate deep technical complexity into product strategy, roadmap priorities, and executive recommendations.
• Strong executive presence, including the ability to present recommendations to senior leadership, influence strategy and execution, and represent programs with strategic partners.
• Proven success leading cross-functional architecture, platform, and product management initiatives across multiple teams and organizations.
• Ability to align cross-functional teams and strategic partners around clear priorities, milestones, and timely delivery of platform capabilities.
• Commercialization mindset with the