Vice President, Product

We are looking for a Vice President of Product to direct the strategy for our Public-Sector facing integrated hardware and software ecosystems. You will oversee the development of complex, edge-deployed technology—including cameras, IoT devices, and software while integrating machine learning and AI capabilities into the core product suite. As a key executive, you will rely on data to guide the product organization and align the executive team and Board of Directors around a clear roadmap for growth. This role is a combination of being hands on with our evolving, active products, as well as managing and overseeing a team of Product Managers across a number of different product lines that are both active and emerging.

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  Drive the product vision and strategy, unifying physical hardware (cameras, vision systems, IoT, robotics) with software platforms and AI/ML ecosystems.

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  Manage the complete product lifecycle from New Product Introduction (NPI) and conceptualization through manufacturing, commercial deployment, and end-of-life.

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  Manage and scale the product organization, balancing technical execution with strategic leadership and operational rigor.

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  Use data and analytics to shape product direction, prioritize development, manage product P&L, and deliver evidence-based recommendations to the executive team and Board of Directors.

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  Partner with Sales, Marketing, and Operations to define go-to-market strategies, pricing, positioning, and target market segments.

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  Build consensus across hardware engineering, software engineering, supply chain, and commercial teams with conviction, persuasion, and a low-ego approach.

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  Gather market and competitive intelligence to anticipate trends in edge computing, computer vision, and IoT to ensure the portfolio remains competitive.

• 12+ years of product leadership experience, with a track record of building complex technologies and managing teams.

• Domain expertise in hardware product development (e.g., cameras, IoT, robotics or similar technology domains) combined with the software and cloud platforms that power them.

• Experience in New Product Introduction (NPI), taking hardware devices from R&D prototypes to mass production and global deployment.

• History of commercializing Machine Learning and Artificial Intelligence technologies within integrated hardware and software ecosystems.

• Business and financial acumen, with experience managing product margins, pricing strategies, and revenue growth.

• Executive presence with the ability to lead with data, advocate for strategic direction, and influence board decisions while remaining grounded and collaborative.

• Ability to recruit, retain, and develop product managers in competitive tech markets.

• Advanced degree (MS, MBA, or PhD) in Engineering, Computer Science, Business, or a related discipline.