AI Product Manager — Lead AI-Driven Features (Lisbon)

Air Apps; Amsterdam; Presencial; EUR 58 000 - 73 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Apple hardware

Annual bonus

Health & life insurance

Transport budget

Coverflex benefits

Childcare support

Air Conference

Pension fund

Urban Sports Club

Free meals

Resumo da oferta

Air Apps is seeking an AI Product Manager to lead the development of AI-powered features across the product lifecycle. You will coordinate with engineers, designers, and data scientists to deliver scalable AI-driven solutions that meet user needs and business metrics.

You will join a fast-paced, onsite team at our Lisbon office with potential relocation support. The role requires 4+ years in product management for AI or data-driven apps and a strong grasp of NLP, CV, and recommendation systems.

Qualificações

• Around 4+ years of product management experience, preferably in AI or data-driven apps.
• Strong understanding of AI/ML concepts (NLP, CV, recommender systems).
• Experience working with data science and engineering teams to ship AI-powered features.

Responsabilidades

• Define and drive the AI product roadmap aligning with business goals.
• Collaborate with engineering, design, data science, and marketing to launch AI features.
• Analyze user feedback and market trends to identify AI opportunities.
• Work with ML engineers to optimize models for accuracy and impact.
• Set KPIs and iterate based on data-driven insights.

Conhecimentos

AI/ML product management

AI/ML concepts

Cross-functional collaboration

Data-driven decisions

Descrição da oferta de emprego

Air Apps is seeking an AI Product Manager to lead the development of AI-powered features across the product lifecycle. You will coordinate with engineers, designers, and data scientists to deliver scalable AI-driven solutions that meet user needs and business metrics.

You will join a fast-paced, onsite team at our Lisbon office with potential relocation support. The role requires 4+ years in product management for AI or data-driven apps and a strong grasp of NLP, CV, and recommendation systems.