Senior Staff Product Manager, Financial Data

Intuit, Inc.; Mountain View (CA); Hybrid; USD 189,000 - 255,000; Full time

Job summary

Intuit, Inc. is seeking a Senior Staff Product Manager to own bank connectivity and data quality across our aggregation platform.

You will steer durability, data cleanliness, and trusted connections for millions of users linking accounts, while anticipating API migrations and open-banking shifts. In this platform role, you’ll work with APIs and data, align engineers and partners, and shape a roadmap where AI adds real value without introducing risk.

Qualifications

• 7+ years in product management, including platform, infrastructure, or data products at scale.
• Ability to integrate AI tools into product management workflows to improve quality, speed, or depth.
• Fluency in APIs, data standards, and platform design for engineering and partners.
• Track record shipping platform or integration capabilities with measurable impact on reliability.
• Proven ability to manage external partnerships with financial institutions and data providers.
• Domain experience in financial data, banking connectivity, or open banking is preferred.
• AI fluency shown through prototyped or shipped capabilities beyond familiarity.
• Data-driven operator who moves ecosystem health and data quality metrics.
• Strong communicator who influences senior leadership and aligns teams.

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.
• Lead bank API migrations and standards transitions (open banking, OAuth, FDX).
• Define what high-quality data means per use case 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 with partners before customers see issues.
• Identify where AI can raise data quality, automate error recovery, and cut manual maintenance.
• Write narratives and decision docs that align engineers to SVPs on connectivity strategy.

Skills

APIs

Data standards

AI in PM

Platform design

External partnerships

Banking connectivity

Open banking

Data-driven

Leadership communication

Education

Undergraduate degree

CS or related field

MBA or equivalent

Job description

Every Intuit product runs on financial data: paychecks categorized in QuickBooks, refunds estimated in TurboTax, 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 Senior 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.

Qualifications

• 7+ years in product management, including platform, infrastructure, or data products at scale.
• Demonstrated 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 quality.
• Communicator who influences senior leadership and rallies teams without relying on hierarchy.
• Undergraduate degree required; CS or related field preferred; MBA or equivalent a plus.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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 fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
Mountain View $188,500 - $255,000