Senior Staff Product Manager - Fintech AI Foundations

Job Overview

Are you a visionary product leader passionate about the intersection of Fintech and cutting-edge Artificial Intelligence? Do you thrive on building foundational platforms that empower innovative financial products at scale? We're seeking a Senior Staff Product Manager, Fintech AI Foundation to define and execute the strategy for our core AI capabilities, driving the next generation of intelligent financial services.

In this pivotal role, you'll own the roadmap for our AI platform, enabling product teams to leverage advanced machine learning, natural language processing, and generative AI to deliver exceptional customer experiences and drive business growth. You'll be instrumental in shaping the future of financial technology by building the underlying intelligence that powers everything from personalized financial advice to fraud detection and automated insights.

Responsibilities

• Strategic Leadership & Vision: Develop and champion the strategic vision and roadmap for our Fintech AI Foundation, identifying key opportunities to leverage AI/ML to solve complex financial challenges, reduce friction for customers and developers, and create new value propositions. This includes both short-term deliverables and long-term transformational goals.
• Platform Product Ownership: Drive the end-to-end product lifecycle for core AI services and infrastructure, including data pipelines, model management, inference engines, and API frameworks. You'll oversee product management processes from backlog grooming to prioritizing initiatives and features, partnering closely with engineering and architecture colleagues.
• Cross-Functional Collaboration & Influence: Partner closely with AI/ML engineers, data scientists, product teams, design, legal, and compliance to translate complex technical concepts into clear product requirements and deliver impactful solutions. You'll manage upstream and downstream dependency requests and timelines efficiently, influencing stakeholders and senior leadership effectively.
• Innovation & Experimentation: Foster a culture of continuous innovation and experimentation, leading rapid iteration on AI solutions based on performance metrics, user feedback, and market trends.
• Technical Depth & Quality: Possess a deep technical understanding of AI/ML technologies, including large language models (LLMs), machine learning architectures, and their practical applications within the fintech domain. You'll work closely with external partners, architects, and engineers to design and build secure, high-scale integrations, ensuring high-quality outcomes and proactively resolving issues.
• Data-Driven Decision Making: Implement prioritization principles using a data-backed approach for defining priorities and making tradeoff decisions. Utilize data-driven methods to define and measure success metrics, prioritize requirements, and communicate plans and launches, delivering impactful business results.
• Customer & Partner Obsession: Conduct thorough customer discovery with end-users and developers to understand their challenges and derive insights on resolving significant customer issues delightfully. You'll work closely with customers and partners, adopting a customer-focused approach to strategy and priorities.
• Communication & Documentation: Employ prolific writing skills to craft effective Product Requirements Documents, decision documents, executive summaries, and presentations for communication across various levels, from engineers and architects to senior executives.
• Risk & Compliance: Work closely with legal and compliance teams to ensure all AI initiatives adhere to financial regulations, data privacy standards, and ethical AI principles.
• Program Management Collaboration: Collaborate with program management to ensure precise project execution and delivery by managing dependencies and plans across various services and teams, demonstrating proficiency in managing complex deliveries across multiple teams.

Qualifications

• 8+ years of experience in product management or a related field, with at least 3+ years focused on AI/ML products within the fintech or financial services industry.
• Proven track record of defining, building, and launching successful, scalable AI-powered platforms or products that meet enterprise needs.
• Deep technical understanding of machine learning concepts, data science workflows, AI infrastructure, APIs, industry standards, and platform design principles.
• Strong ability to think strategically, identify market opportunities, and translate them into actionable product roadmaps, aligning long-term transformation goals with immediate delivery milestones.
• Exceptional leadership and communication skills, with the ability to influence and align diverse stakeholders across an organization, including executive leadership.
• Demonstrated excellence in executing transformation roadmaps and delivering incremental value while addressing legacy system deprecation.
• In-depth knowledge of product management processes and adeptness at driving consensus across diverse teams.
• Experience with Agile methodologies as a product owner, establishing clear requirements through detailed epics.
• Quick learner with minimal supervision required to become a domain expert.
• A passion for solving complex problems at the intersection of finance and artificial intelligence.
• Bachelor’s degree in Engineering, Computer Science, or a related field. Master’s degree preferred.
• Domain knowledge in FinTech, Payment Standards, and FinTech Compliance is highly advantageous.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is: Bay Area California $196,500 - $266,000.

This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits).Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.