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Intuit Principal Product Manager - Data Platform United States, California, San Francisco 634810729
27.03.2025
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Responsibilities
- Deeply understand customer problems and needs leveraging follow-me-home research, usability studies, first-hand interviews, customer feedback, experiments, and usage/adoption metrics
- Demonstrate strong communication and leadership skills with engineering, architecture teams, and business stakeholders
- Own your product Set a clear vision, define your roadmap and share with cross functional teams
- Inspire and lead your team and others to execute and deliver your vision and solutions to solve customers’ biggest problems
- Ruthlessly prioritize your team’s backlog to ensure your team is making maximum customer impact
- Identify, design, experiment, and iterate on product capabilities leveraging customers/end users’ feedback, behavioral customer data, and market research
- Define and analyze key success metrics to support and inform product decisions
- Drive product development with cross-functional teams to deliver high-impact customer experiences quickly
Qualifications
- Experience in one or more of the following: user behavior data collection capabilities (realtime, clickstream), data access management, data lake, data mesh, data lineage to solve data problems for customers
- 5+ years of experience as a Product Manager in a modern, data-driven environment
- Experience in building self-serve products from scratch Specific experience with building products for data definition, SDKs and APIs for software developers
- Strong ability to think through unifying elements and common denominators; dream up user workflows & interfaces; translate it all into engineering-ready user stories; and work with product designers to create a self-serve products
- Familiarity with Big Data frameworks and Domain Driven Design approaches to data as a product
- Data driven approach for everything you do, understanding your customers, roadmap prioritization and measuring success
- Ability to work in an agile fashion with your teams; go broad to go narrow; build, test, iterate
- Ability to nurture various projects in parallel, in different stages of maturity and velocity
- Undergraduate degree required in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline (equivalent professional experience will be considered); advanced degree a plus
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