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Senior Staff Data Platform Product Manager (AI)
195 000 - 266 000$
Описание вакансии
Текст:
TL;DR
Senior Staff Data Platform Product Manager (AI): Transforming into an AI-driven expert platform by building products, workflows, and methodologies for data management with an accent on security & compliance and delightful customer experiences. Focus on evolving the Data Lake platform services to solve customer problems and revolutionize data consumption and production.
Location: Mountain View, California; Brooklyn, New York; Plano, Texas
Salary: $196,500-266,000 (Bay Area); $195,000-264,000 (New York)
Company
is the global financial technology platform that powers prosperity for the people and communities we serve.
What you will do
- 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.
- Drive product development with cross-functional teams to deliver high-impact customer experiences quickly.
Requirements
- Experience in user behavior data collection capabilities, data access management, data lake, data mesh, or 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, especially for data definition, SDKs, and APIs for software developers.
- Strong ability to think through unifying elements and common denominators and translate them into engineering-ready user stories.
- Familiarity with Big Data frameworks and Domain Driven Design approaches to data as a product.
- Undergraduate degree required in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
Nice to have
- Advanced degree a plus.
Culture & Benefits
- provides a competitive compensation package with a strong pay-for-performance rewards approach.
- Eligible for a cash bonus, equity rewards, and benefits in accordance with applicable plans and programs.