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.
Key Responsibilities
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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.
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Identify Opportunities: Work in close collaboration with all internal domain and product teams to identify opportunities to employ AI capabilities, focusing on:
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Client Experience: Enhancing core client-facing product functionality through predictive modeling and personalization.
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Operational Efficiency: Improving internal system scalability, fraud detection, and overall operational performance.
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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,...).
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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.
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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.
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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.
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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.