Technical Product Manager — AI

Description ueni.com is looking for a Technical Product Manager with a strong focus on artificial intelligence to help shape and deliver technically ambitious products for our business customers. This role is ideal for someone who can bridge product, engineering, and leadership: translating medium-level specifications into practical solutions, exploring new technologies independently, and making thoughtful decisions about how AI should be designed and deployed. What you’ll do Define, prioritise, and manage AI-focused product initiatives from discovery through delivery. Understand AI modelling concepts and evaluate the trade-offs between local, cloud, and hybrid processing. Help design and assess technical workflows involving image processing, automation, data handling, and AI-powered features. Test experimental solutions, prototypes, and emerging tools independently. Assess feasibility, risks, performance, cost, scalability, and user impact. Challenge assumptions and push back constructively when a proposed approach is unclear, inefficient, or unlikely to deliver the desired outcome. Create clear product documentation, specifications, acceptance criteria, and priorities. Coordinate delivery across technical and non-technical stakeholders. Monitor outcomes and use feedback, data, and experimentation to improve products over time. Requirements Approximately 5–10 years of experience in product management, technical product management, or a related field. Strong understanding of AI and machine-learning concepts, including the ability to work effectively with technical specialists. Experience evaluating or delivering AI-powered products, automation, image-processing workflows, or similar technical systems. Ability to understand and discuss technical architecture, APIs, data flows, model limitations, and deployment choices. Strong analytical and critical-thinking skills. Comfortable working with incomplete information and turning broad requirements into actionable plans. A highly autonomous working style, with the curiosity to investigate and test solutions independently. Confidence communicating with senior leadership and engineering teams. Willingness to challenge ideas constructively and make evidence-based recommendations. You must be able to work effectively with distributed international teams and communicate fluently in English.