Product Manager, AI-Driven Shopping (Remote)

Capital One; Juneau (AK); À distance; USD 150 000 - 171 000; Plein temps

Résumé du poste

Capital One Shopping is seeking a Product Manager to drive data-driven initiatives with a strong emphasis on AI and analytics. You will lead cross-functional teams, articulate a clear product vision, and measure success through KPIs while collaborating with analysts, data scientists, and engineers.

The role values hands-on analytics, a customer-first mindset, and the ability to translate business needs into scalable product features across data platforms and backend systems.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field or related area (Statistics, Economics, Analytics, CS, etc.).
• 3+ years of Product Management experience or equivalent.
• Strong SQL and data-analysis skills with ability to derive insights from large datasets.
• Experience applying AI concepts in products or personal projects is valued.
• Ability to translate business strategy into consumer-facing digital products and roadmaps.

Responsabilités

• Lead multiple software and data engineering teams to design and deliver data platform features for internal users.
• Define and monitor KPIs; ensure data-driven prioritization and trade-off decisions.
• Create a product vision and roadmap aligned with stakeholder needs across teams.
• Collaborate with analysts, data scientists, designers, and engineers to extract insights from experiments and launches.
• Build strong relationships with leaders and stakeholders dependent on platform capabilities.

Connaissances

SQL

Data analysis

Product management

AI familiarity

Communication

Formation

Bachelor’s or Master’s in quantitative field

Outils

Python

R

Description du poste

Capital One Shopping is seeking a Product Manager to drive data-driven initiatives with a strong emphasis on AI and analytics. You will lead cross-functional teams, articulate a clear product vision, and measure success through KPIs while collaborating with analysts, data scientists, and engineers.

The role values hands-on analytics, a customer-first mindset, and the ability to translate business needs into scalable product features across data platforms and backend systems.