Product Manager, Financial Data

Position: Staff Product Manager, Financial Data
Company Overview Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With tens of millions of customers worldwide using products such as Turbo Tax, Credit Karma, Quick Books, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview Every Intuit product runs on financial data: paychecks categorized in Quick Books, refunds estimated in Turbo Tax, scores refreshed in Credit Karma. All of it depends on a live, high-quality connection to a bank. That connectivity layer is what you'll own.

We're looking for a Staff Product Manager to lead bank connectivity and financial-institution data quality across Intuit's aggregation platform. You'll own how reliably connections hold up, how clean the data is when it lands, and how it feels for the millions of customers who link an account. As banks migrate APIs and shift to open-banking standards, you'll keep Intuit ahead of those changes instead of reacting to them.

This is a platform role for someone who thinks in systems, is fluent enough in APIs and data to earn engineering's trust, and can turn a partner-dependent problem space into a clear roadmap.

At Intuit, we're intentionally building AI into how we define, build, and ship products — and we're committed to equipping our teams to work at the forefront of it. We look for product managers who are excited to bring AI into their workflow — using it to move faster, go deeper on customer insights, and focus their energy on the decisions that only human judgment can make.

We're looking for PMs who are curious, eager to experiment, and excited to continually evolve how they work.

Responsibilities Own the strategy and roadmap for bank connection durability and data quality, measured in connection success, uptime, and completeness.

Build product experiences that make AI-powered features intuitive, transparent, and trustworthy for a diverse range of customers — and bring a clear point of view on where AI genuinely helps vs. where it creates risk.

Lead bank API migrations and standards transitions (open banking, OAuth, FDX), getting ahead of institution changes so connections don't break.

Define what "high-quality data" means per use case (payment verification, cash-flow underwriting, reconciliation, identity) and drive the platform to deliver it.

Improve the account-linking and reconnection experience to reduce customer friction.

Partner directly with banks, aggregators, and industry bodies on secure, high-scale integrations.

Diagnose connection and data-quality failures at the root and resolve them with partners before they reach customers.

Identify where AI can raise data quality, automate error recovery, and cut manual maintenance.

Write the narratives and decision docs that align engineers to SVPs on connectivity strategy.

Qualifications7+ years in product management, including platform, infrastructure, or data products onstrated ability to integrate AI tools into your product management workflow to improve quality, speed, or depth.

Strong fluency in APIs, data standards, and platform design, enough to go deep with engineering and partners unaided.

Track record of shipping platform or integration capabilities across teams, with measurable impact on reliability or quality.

Proven ability to build and manage external partnerships (financial institutions, data providers, standards bodies).Domain experience in financial data, banking connectivity, open banking, or payments strongly preferred.

AI fluency shown through prototyped or shipped capabilities, not just familiarity.

Data-driven operator who moves the metrics behind ecosystem health and data…