AI Product Manager
About the AI Product Manager role
As an AI Product Manager, you will have the opportunity to collaborate with a leading European mobility services provider, backed by nearly 90 years of expertise. As part of this journey, you’ll contribute to the launch of a new Tech Hub in Portugal, helping to drive innovative, technology-led solutions that are transforming how businesses move while contributing to a more sustainable future.
Key Responsibilities as an AI Product Manager
- Own the strategy, roadmap and value delivery of a portfolio of AI products (GenAI, AI Agents, Intelligent Automation).
- Define product vision, business cases and success metrics aligned with commercial objectives.
- Lead product discovery with senior stakeholders and translate business challenges into AI-driven solutions.
- Balance customer value, technical feasibility, AI risk and operational cost to drive product decisions.
- Establish AI evaluation frameworks, quality standards, adoption metrics and value measurement approaches.
- Coordinate delivery across Product, Engineering, Architecture, Data and Governance teams.
- Drive Responsible AI practices, regulatory compliance and AI governance requirements.
- Manage cross-functional dependencies, prioritization and capacity planning.
- Act as a trusted advisor to business owners across Sales, Finance, Operations and Digital domains.
- Mentor Product Managers and contribute to product management best practices and capability development.
Job Qualifications
- 6+ years of Product Management experience, including 3+ years leading AI, ML, GenAI or Automation products in production environments.
- Proven track record of delivering products with measurable business and commercial impact.
- Strong stakeholder management and strategic advisory skills.Experience defining KPIs, value measurement frameworks and data-driven product decisions.
- Solid understanding of AI product economics, including inference, compute and licensing costs.
- Knowledge of AI governance, Responsible AI principles, GDPR and EU AI Act requirements.
- Experience with LLMs, AI agents, MLOps, model evaluation and human-in-the-loop processes.
- Familiarity with data platforms (e.g., Databricks), lakehouse architectures and AI deployment ecosystems.
- Strong data literacy, including SQL and interpretation of model performance metrics.
- Preferred background in fintech, payments, mobility or other transaction-heavy B2B environments.
- Strong English (international working environment).
Wondering what happens after you apply? See how our recruitment process works.
Be Bold · Work Smart · Change Tomorrow
We started this company with a simple observation: most organizations don’t struggle because they lack technology — they struggle because solutions are too complex, disconnected from reality, or hard to sustain over time. Data and AI can create enormous value. But only when they are designed with clear intent, solid foundations, and a realistic understanding of how organizations actually operate. We’re a young, fast-growing company with plenty of opportunities to learn, evolve, and build something meaningful together.