4 дня назад
Staff Product Manager (Fintech Data Platform)
188 500 - 255 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Manager (Fintech Data Platform) (Fintech/Data): Defining and delivering curated data products, APIs, and data services for Intuit’s embedded fintech platform with an accent on payments, invoicing, lending, payroll, data quality, and governance. Focus on combining cross-system data, identifying predictive model opportunities, and driving adoption and business impact across product, engineering, analytics, privacy, legal, and go-to-market teams.
Location: Mountain View, California, United States
Base pay: $188,500–$255,000 per year
Company
is a financial technology platform serving approximately 100 million customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Define and prioritize curated data products combining signals across ’s embedded fintech platform.
- Develop data capabilities supporting payments, invoicing, bill pay, accounts payable, lending, and payroll workflows.
- Own the strategy for combining data with external construction system data to improve product and portfolio insights.
- Own APIs and data services that expose curated datasets to products and customer experiences.
- Improve data quality, completeness, validation, discoverability, and reuse across different customer configurations.
- Lead cross-functional product development and measure data product adoption and business impact.
Requirements
- 6–8 years of product management experience with data products, data platforms, analytics infrastructure, or ML/AI products in B2B SaaS.
- Deep experience defining derived data products or curated datasets from raw platform data.
- Understanding of entity-relationship design, semantic models, API design, and data modeling tradeoffs.
- Ability to review data model designs, evaluate API contracts, and collaborate credibly with data and backend engineers.
- Experience influencing multiple teams without direct authority and resolving competing data needs.
- Strong executive presence and a BS or B.Tech degree.
Nice to have
- Experience with cross-system data.
- Experience identifying predictive model opportunities and defining their data requirements and success criteria.
Culture & Benefits
- Cross-functional collaboration with Engineering, Data Science, Data Engineering, Analytics, Privacy, Legal, Marketing, and product teams.
- Opportunity to work on a platform processing billions of dollars in monthly payment volume.
- Competitive compensation with performance-based rewards.
- Potential eligibility for cash bonus, equity rewards, and employee benefits.
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