AI-Driven Product Manager, Shopping Platform (Remote)

Capital One

San Francisco (CA)

On-site

USD 179,700 - 205,100

Full time

14 days+

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Job summary

Capital One Shopping is seeking a Product Manager to shape data-driven AI initiatives, tell stories with data, and define metrics to measure success. You will own the product lifecycle from ideation through production, partnering with data science, engineering, and design teams to build customer value.

This remote-eligible role requires strong SQL and data analysis skills, a customer-first mindset, and the ability to craft a compelling vision for executives.

Qualifications

  • 3+ years of Product Management experience
  • Experience with data-driven decision making and KPI monitoring
  • Strong SQL and data analysis skills
  • Experience with AI in product development preferred

Responsibilities

  • Lead multiple teams to design and deliver data platform features for internal users
  • Understand the enterprise data requirements and ensure system’s compliance with enterprise patterns
  • Relentlessly push to understand user and stakeholder needs and prioritize accordingly
  • Create a vision and roadmap for your product addressing stakeholder needs
  • Partner with analysts, data scientists, designers, engineers to refine roadmap and harvest insights from experiments
  • Build and maintain strong relationships with leaders and stakeholders dependent on platform capabilities
  • Define, socialize, and monitor KPIs to understand evolution and success of the project

Skills

AI/ML mindset
SQL data analysis
Roadmap & KPI ownership
Cross-functional leadership

Education

Bachelor's or Master’s in a quantitative field

Tools

Python
R

Job description

Capital One Shopping is seeking a Product Manager to shape data-driven AI initiatives, tell stories with data, and define metrics to measure success. You will own the product lifecycle from ideation through production, partnering with data science, engineering, and design teams to build customer value.

This remote-eligible role requires strong SQL and data analysis skills, a customer-first mindset, and the ability to craft a compelling vision for executives.

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