Technical Product Manager — AI

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.

• 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.