Sr. Product Manager - AI Products

Own the end-to-end product strategy and roadmap for AI-powered automation capabilities across the platform.

Define measurable product outcomes, including operational efficiency, error reduction, decision accuracy, and customer value, and ensure roadmap initiatives deliver against these objectives.

Partner with executive leadership to align AI product initiatives with the broader company vision, strategic priorities, and revenue goals.

Develop business cases that demonstrate the value of research and development investments and identify potential revenue opportunities.

Identify high-impact automation opportunities throughout loan origination and account opening workflows.

Monitor AI and machine learning developments to identify emerging technologies and opportunities for product innovation.

Conduct in-depth discovery with lending operations teams, compliance professionals, technology buyers, and other stakeholders to identify customer challenges and unmet needs.

Translate qualitative research, product usage data, and competitive intelligence into actionable product opportunities.

Establish and maintain feedback loops with design partners and early-access customers throughout product development.

Lead cross-functional execution with Engineering, Data Science, and Design teams using agile methodologies and emerging AI-assisted development practices.

Translate business requirements into clear product epics, user stories, acceptance criteria, and supporting documentation.

Lead rapid prototyping and early validation activities to accelerate development and reduce time to market.

Balance business objectives with regulatory compliance, security, scalability, and technical feasibility.

Collaborate with Data Scientists and Machine Learning Engineers to scope model development, define performance metrics, and establish human-in-the-loop review processes.

Coordinate with Legal, Compliance, and Information Security teams to ensure AI products meet relevant regulatory requirements, including FCRA, ECOA, fair lending standards, model risk management, and emerging AI regulations in financial technology.

Own product launch readiness, including go-to-market coordination, documentation, training, and customer communications.

Define and monitor post-launch KPIs, including automation rates, exception volumes, model drift indicators, and overall business impact.

Establish feedback mechanisms to identify edge cases and model errors, translating findings into continuous product improvements.

Communicate product performance, progress, and opportunities transparently to leadership and key stakeholders.

Work with Sales and Marketing to monitor pipeline development and revenue opportunities, adjusting product strategy when adoption or performance falls below expectations.