Product Manager - AI Platform; m​/f​/x

Company Description

Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners.

The company’s offerings are rounded off by attractive interest rates, loans, and private equity.

Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.

Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say.

Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values (English).

As a Product Manager for the AI Platform, you will play a foundational role in defining, scaling, and operationalizing Artificial Intelligence capabilities across the entire Scalable organization. You will lead the strategy to move from siloed AI solutions to a unified, compliant, and robust internal "AI as a Platform" offering.

You will work closely with a dedicated cross-functional team of Data Scientists, AI Engineers and Software Engineers, acting as the key bridge between the technical development, internal domain teams, and regulatory stakeholders to ensure AI is integrated and leveraged effectively, securely, and ethically.

• Platform Strategy & Ownership:
  Define, prioritize, and own the strategic roadmap for our internal "AI as a Platform", ensuring it provides robust, scalable, and easy-to-integrate services for all internal domain and product teams, enabling them to consume AI capabilities without requiring them to integrate with external APIs.
• Identify Opportunities:
  Work in close collaboration with all internal domain and product teams to identify opportunities to employ AI capabilities, focusing on:
  • Client
    
    Experience:
    
    Enhancing core client-facing product functionality through predictive modeling and personalization.
  • Operational Efficiency:
    Improving internal system scalability, fraud detection, and overall operational performance.
• Use Case Implementation:
  Drive the implementation of strategic AI use cases across the company. Ensure efficient implementation by aligning implementation timelines across all teams involved (AI platform, domain teams, mobile,...).
• AI Compliance & Governance:
  Act as the key product driver for AI compliance, regulatory adherence, and ethical usage. Define our approach to ensure all models and data usage are secure and compliant with current and emerging data protection laws.
• Go-to-Market (GTM) for AI Features:
  Support the planning, launch, and post-launch monitoring of new client-facing AI features and capabilities, ensuring smooth coordination across Product, Engineering, Data, Operations, and Compliance.
• Team Collaboration & Product Leadership:
  Lead the product development process for the cross-functional AI Platform team, managing agile processes, backlogs, and planning sessions, and translating high-level business goals into actionable user stories for Data Scientists and ML/AI Engineers.
• Data-Driven Vision:
  Leverage data analysis, user needs (internal and external), market trends, and insights from LLM/AI system outputs and trace analysis, including analysis of AI agent performance and user feedback, to continuously inform and evolve the AI Platform vision and product strategy.

• Passion for digital products and a strong desire to help users improve their financial well‑being through clear, trusted, and AI‑enhanced experiences.
• Proven experience as a Product Manager, working on backend services, APIs, or AI-powered products, ideally serving multiple client‑facing teams.
• High-level understanding of…