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.