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AI Product Manager na Air Apps

Presencial - Lisbon

Candidatar-se

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.

The Role

As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives.

Responsibilities

Define and drive the AI product roadmap, ensuring alignment with business objectives and user needs. Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features. Conduct market research and analyze user feedback to identify opportunities for AI integration. Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact. Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights. Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive. Ensure ethical AI usage and compliance with data privacy regulations.

Requirements

Around 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications. Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems. Experience working with data science and engineering teams to develop AI-based features. Ability to translate complex AI concepts into user-friendly applications. Strong analytical skills and experience leveraging data to drive product decisions.

Benefits

Apple hardware ecosystem for work. Flexible Paid Time Off (PTO) to support work-life balance. Annual Bonus. Top-tier Health Insurance for peace of mind. Public Transportation Pass to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Air Conference — an opportunity to meet the team, collaborate, and grow together.

Diversity & Inclusion

At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.

Application Disclaimer

At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Compensation Range: €58K - €73K

Salary

EUR 58,000 - 73,000/year

Requirements

Experience

  • Around 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications.
  • Experience working with data science and engineering teams to develop AI-based features.

Skills

  • Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems.
  • Strong analytical skills and experience leveraging data to drive product decisions.
  • Ability to translate complex AI concepts into user-friendly applications.

Responsibilities

  • Define and drive the AI product roadmap, ensuring alignment with business objectives and user needs.
  • Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features.
  • Conduct market research and analyze user feedback to identify opportunities for AI integration.
  • Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact.
  • Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights.
  • Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive.
  • Ensure ethical AI usage and compliance with data privacy regulations.

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