Intuit Principal Product Manager Risk Platform 

United States, California, Mountain View 

530938018

• Platform Vision & Strategy: Own and drive the product vision, strategy, and technical roadmap for core components of the Risk Platform, including data infrastructure for risk, feature engineering platforms, rules engine frameworks, decisioning services, and ML model deployment/monitoring capabilities.
• Technical Roadmap & Execution: Define, prioritize, and deliver platform features and enhancements. Work closely with engineering leads on architecture, design, and implementation details to ensure solutions are scalable, performant, and maintainable.
• Core Capabilities Development:

○ Data Enablement: Champion initiatives to improve data accessibility, quality, and utility for risk modeling and decisioning.○ Decisioning & Rules Engines: Lead the evolution of our rules engine and decisioning service capabilities to support complex logic, rapid iteration, and high-throughput processing.○ AI/ML Platform Integration: Ensure seamless integration and operationalization of machine learning models within the risk platform

• Stakeholder Management & Collaboration: Act as the primary product interface to platform engineering, policy, and data science teams. Gather requirements from internal product teams who consume the platform, ensuring their needs are met.
• Platform Evangelism & Adoption: Drive the adoption of new platform capabilities across Intuit. Develop documentation, conduct training, and provide support to internal users.
• Operational Excellence: Define and monitor key platform performance indicators (KPIs) related to reliability, scalability, latency, and cost-effectiveness. Champion operational improvements and ensure platform resilience.
• Innovation & Future-Proofing: Stay abreast of industry trends in risk technology, data platforms, and AI/MLs. Identify and champion emerging technologies and approaches to keep the Intuit Risk Platform at the cutting edge.

• Experience: 10+ years of product management experience, with a significant portion focused on technical platform products, data infrastructure, or machine learning platforms, ideally within the FinTech or financial services risk domain.
• Technical Depth:

○ Strong understanding of data engineering principles: data ingestion, ETL/ELT pipelines, data lakes/warehouses, real time data streaming, and feature stores.○ Deep familiarity with decisioning systems and rules engine technologies , including their design, implementation, and operational management..○ Solid grasp of microservices architecture, API design, and cloud-native technologies (e.g., AWS, GCP).

• Platform Mindset: Proven ability to define and deliver platform capabilities that serve multiple internal customers, balancing diverse requirements with a cohesive and scalable architecture. Experience in driving platform adoption.
• Strategic & Analytical Thinking: Proven experience in defining platform vision and strategy, translating them into actionable roadmaps, and influencing long-term technical direction. Strong analytical skills to make data-driven decisions about platform investments.
• Execution & Program Management: Proficiency in managing complex technical program/project deliverables involving multiple engineering teams, dependencies, and timelines. Ability to thrive in ambiguity and drive execution from concept to scaled deployment.
• Leadership & Influence: Excellent collaboration skills with a demonstrated ability to lead execution across engineering and data science teams, and influence stakeholders across different functions and levels, including senior technical leadership.
• Communication: Inspiring written and verbal communication skills, capable of effectively articulating complex technical concepts, platform vision, strategy, and results to both technical and non-technical audiences.
• Education: BS or MS in Computer Science, Engineering, or a related technical field, or equivalent demonstrably strong technical experience.