Explore Head of Engineering, Product AI jobs and discover a pivotal leadership role at the intersection of artificial intelligence, product strategy, and team management. As the Head of Engineering for Product AI, you are the strategic leader responsible for translating the potential of AI and machine learning into tangible, high-impact product features that serve millions of users. This is a senior executive position that sits at the heart of innovation, guiding the technical vision and execution for a company's AI-powered product portfolio. Professionals in these roles typically oversee the entire AI product development lifecycle. A core responsibility is defining and executing the engineering strategy for Product AI, ensuring it aligns with the broader business goals and product roadmap. This involves leading and mentoring a large, often geographically distributed, team of engineers and engineering managers, fostering a culture of technical excellence, innovation, and collaborative problem-solving. You will be the bridge between complex AI research and real-world application, collaborating closely with cross-functional partners like Product Management, Data Science, and Design to integrate intelligent, personalized, and reliable AI solutions seamlessly into the user experience. Common responsibilities for individuals in Head of Engineering, Product AI jobs include architecting scalable and robust AI systems, overseeing the development of frameworks for model evaluation, and championing best practices in AI quality assurance, testing, and monitoring. A significant part of the role is ensuring the responsible and ethical deployment of AI, which encompasses fairness, transparency, and security. You will act as a thought leader, advocating for advanced engineering practices and driving the adoption of new technologies to maintain a competitive edge. Managing complex projects, allocating resources, and ensuring the timely delivery of high-quality AI features are all in a day's work. Typical skills and requirements for these leadership positions are extensive. Candidates generally possess over 8-10 years of progressive engineering experience, with a substantial portion dedicated to AI and machine learning in a product-driven environment. A proven track record of building, scaling, and leading large engineering organizations (often 30+ engineers) is essential. Deep technical expertise in AI/ML technologies, software architecture, and system design is mandatory, coupled with strong business acumen. Exceptional communication and leadership skills are paramount for inspiring teams, managing stakeholders, and representing the company's AI vision. A Bachelor's or Master's degree in Computer Science or a related field is typically required. If you are a visionary leader passionate about shaping the future of intelligent products, exploring Head of Engineering, Product AI jobs could be your next career milestone.
