You’ll have the opportunity to collaborate with a leading European mobility servicesprovider, headquartered in Germany and backed by nearly 90 years of expertise. As partof this journey, you’ll contribute to the launch of a new Tech Hub in Porto, helping todrive innovative, technology-led solutions that are transforming how businesses movewhile contributing to a more sustainable future.
YOUR ROLE
- 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.
YOUR PROFILE
- 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).