Senior Staff Product Manager, Embedded Fintech Data

Intuit; Mountain View (CA); On-site; USD 189,000 - 255,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Benefits package

Job summary

Intuit is seeking an experienced Product Manager to own the end-to-end data product experience for our largest enterprise customers. You will shape how embedded fintech data powers payments, invoicing, capital, and payroll workflows across our product ecosystem.

You will treat data as a product, defining core datasets, fostering data governance, and partnering with Engineering, Data Science, Privacy, Legal, Marketing, and product teams to deliver scalable, trusted data foundations.

Qualifications

• 6–8 years of product management experience on data products or ML/AI in B2B SaaS.
• Experience defining derived data products and curated datasets.
• Strong data modeling understanding and API design fundamentals.
• Ability to influence multiple teams without direct authority.

Responsibilities

• Define and prioritize curated data products across Intuit's Embedded Fintech data.
• Identify opportunities for predictive models and define data requirements.
• Own data integration strategy with external datasets for product insight.
• Collaborate with data engineering, analytics, and GTM teams through development.
• Define success metrics for data product adoption and business impact.
• Lead cross-functional collaboration and ensure data quality standards.

Skills

Data products

Analytics infra

ML/AI products

Cross-team collab

API design

Education

BS or B.Tech

Job description

Intuit is seeking an experienced Product Manager to own the end-to-end data product experience for our largest enterprise customers. You will shape how embedded fintech data powers payments, invoicing, capital, and payroll workflows across our product ecosystem.

You will treat data as a product, defining core datasets, fostering data governance, and partnering with Engineering, Data Science, Privacy, Legal, Marketing, and product teams to deliver scalable, trusted data foundations.