Technical Product Manager — AI

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

- 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.