Technical Product Manager — AI at UENI

Job Description
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
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Define, prioritise, and manage AI-focused product initiatives from discovery through delivery.
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Understand AI modelling concepts and evaluate the trade-offs between local, cloud, and hybrid processing.
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Help design and assess technical workflows involving image processing, automation, data handling, and AI-powered features.
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Test experimental solutions, prototypes, and emerging tools independently.
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Assess feasibility, risks, performance, cost, scalability, and user impact.
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Challenge assumptions and push back constructively when a proposed approach is unclear, inefficient, or unlikely to deliver the desired outcome.
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Create clear product documentation, specifications, acceptance criteria, and priorities.
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Coordinate delivery across technical and non-technical stakeholders.
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Monitor outcomes and use feedback, data, and experimentation to improve products over time.
Requirements
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Approximately 5–10 years of experience in product management, technical product management, or a related field.
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Strong understanding of AI and machine-learning concepts, including the ability to work effectively with technical specialists.
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Experience evaluating or delivering AI-powered products, automation, image-processing workflows, or similar technical systems.
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Ability to understand and discuss technical architecture, APIs, data flows, model limitations, and deployment choices.
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Strong analytical and critical-thinking skills.
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Comfortable working with incomplete information and turning broad requirements into actionable plans.
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A highly autonomous working style, with the curiosity to investigate and test solutions independently.
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Confidence communicating with senior leadership and engineering teams.
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Willingness to challenge ideas constructively and make evidence-based recommendations.
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You must be able to work effectively with distributed international teams and communicate fluently in English.
