Director of Product, AI

Evolv Technology is seeking a Director of Product, AI, to lead the development of advanced weapons detection and computer vision capabilities. This senior individual contributor role will involve deep engagement with AI engineering and research teams, translating technical work into product decisions that enhance safety. The successful candidate will have a strong background in product management, AI, and computer vision, with experience in deploying and improving machine learning systems.

• Collaborer étroitement avec les équipes d'ingénierie et de recherche en IA pour définir la vision du produit et les feuilles de route techniques.
• Définir et posséder la stratégie de collecte de données, les directives d'annotation et les normes de validation.
• Diriger les décisions concernant les priorités de données, l'évaluation des modèles, la préparation à la sortie, en collaboration avec l'ingénierie et la recherche en IA.

• Ability to translate technical complexity and business constraints into clear product decisions and priorities
• Experience defining data collection, annotation, validation, and dataset quality standards
• Track record of leading cross-functional decisions across research, engineering, field operations, legal, and customer-facing teams
• Experience bringing AI or computer vision systems to production in security, safety-critical, or other detection applications where accuracy and reliability matter
• Experience designing field trials and using customer and performance data to inform product and release decisions
• Strong understanding of AI and computer vision architectures, model evaluation, data pipelines, and technical trade-offs
• 8+ years of product management experience, including ownership of AI, machine learning, or computer vision products from strategy through production
• Experience deploying and improving ML systems on physical or edge hardware
• Bonus points: experience with regulatory/compliance considerations around representing AI performance externally; embedded or edge hardware background; time spent in physical security, public safety, or critical infrastructure