Product Manager, AI-Driven Shopping Platform (Remote)

Capital One National Association; McLean (VA); Hybrid; USD 164,800 - 188,100; Full time

Job summary

Capital One Shopping seeks a Product Manager with a strong bias toward data and AI-driven decision making. You will own the product from ideation to production, partnering with analysts, data scientists, designers, and engineers to drive revenue and customer value.

Responsibilities include defining roadmaps, monitoring KPIs, and delivering data platform features for internal users, while leading cross-functional teams in a fast-paced environment.

Qualifications

• At least 3 years of product management experience.
• Experience with SQL and data analysis to drive decisions.
• Bachelor's or Master’s in a quantitative field, business, or marketing.
• Preferred: translating strategy into consumer digital products.

Responsibilities

• Lead multiple teams of software and data engineers to design and deliver data platform features for internal users.
• Understand the enterprise data requirements and ensure system 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 the roadmap and harvest insights from experiments.
• Build and maintain strong relationships with leaders and stakeholders dependent on platforms.
• Define, socialize, and monitor KPIs to track evolution and success.

Skills

SQL

Python

R

Data analysis

KPIs

Communication

Education

Bachelor's or Master’s degree in a quantitative field, Business or Marketing

Job description

Capital One Shopping seeks a Product Manager with a strong bias toward data and AI-driven decision making. You will own the product from ideation to production, partnering with analysts, data scientists, designers, and engineers to drive revenue and customer value.

Responsibilities include defining roadmaps, monitoring KPIs, and delivering data platform features for internal users, while leading cross-functional teams in a fast-paced environment.