Technical Product Manager — AI

UENI Limited; São Paulo; On-site; BRL 150,000 - 280,000; Full time

Job summary

ueni.com is seeking a Technical Product Manager with a strong focus on artificial intelligence to shape and deliver technically ambitious products for our business customers. You will bridge product, engineering, and leadership: translating medium-level specifications into practical solutions and evaluating AI deployment options.

You’ll define AI initiatives, collaborate with engineers and designers, test prototypes, and monitor outcomes.

Qualifications

• 5–10 years of product management experience.
• Strong AI and ML understanding; ability to work with technical specialists.
• Experience delivering AI-powered products, automation, or image-processing workflows.
• Ability to discuss API/data flows and deployment options.
• Strong analytical and critical-thinking skills.
• Autonomous, curious, independent problem-solver.
• Excellent English; able to work with distributed teams.

Responsibilities

• Define, prioritise, and manage AI-focused product initiatives from discovery through delivery.
• Evaluate AI models and trade-offs between local, cloud, and hybrid processing.
• Design and assess workflows with image processing, automation, data handling, and AI features.
• Test prototypes and emerging tools independently.
• Assess feasibility, risks, performance, cost, and scalability.
• Create product documentation, specs, acceptance criteria, and priorities.
• Coordinate delivery across technical and non-technical stakeholders.
• Monitor outcomes and use data and experimentation to improve products.

Skills

AI concepts

Product management

Technical communication

Analytical thinking

Autonomy

Stakeholder coordination

English fluency

Job 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.

• 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.