Senior AI Product Manager (Growth & Transformation)

Join our Growth and Transformation team as a Senior AI Product Manager. In this role, you will drive the development of AI/ML-powered digital products that enhance customer acquisition, engagement, and retention. You will have the opportunity to directly influence the digital customer experience for one of our partners and will be responsible for contributing to the product strategy for enhancing the customer experience. You will also have autonomy to propose feature development, set KPIs, and be accountable for driving growth against your KPIs. Additionally, you will act as the day-to-day lead on strategic banking initiatives, own the product lifecycle, partner closely with engineering and data science teams, and mentor junior Product Managers.

- Contribuer à la stratégie produit pour améliorer l'expérience client et proposer le développement de fonctionnalités. - Assurer la responsabilité de l'ensemble du cycle de vie du produit, de l'évaluation initiale à l'exécution pratique et à l'optimisation à long terme. - Agir en tant que leader technique, collaborer étroitement avec les équipes d'ingénierie et de science des données pour traduire les objectifs bancaires en livrables techniques détaillés.

- Product Mindset: You possess the "product sense" to prioritize features based on client impact and business value. You are skilled at navigating trade-offs in fast-paced environments and can translate ambiguous client needs into a clear, actionable product vision - Execution Mindset: You are a "doer" who can build proof-of-concepts or prototypes to demonstrate the value of potential AI investments - Strategic Rigor: The analytical ability to uncover signals in ambiguous financial data and the critical thinking to determine not just what to build, but why it matters for the client - Banking & Customer Acquisition Affinity: An interest in solving problems within high-compliance financial environments focused on shepherding customers from initial interest to a sticky relationship - Technical Depth: Hands-on experience with data-related programming (SQL, Python) and a proven track record of building with LLMs or automating processes