Senior Manager, Product Manager: Shopping; Remote-Eligible

Senior Manager, Product Manager:
Capital One Shopping (Remote-Eligible)

We are looking for a Product Manager to join our growing team in Capital One Shopping. If you have a remarkable ability to use data to tell a story, form a hypothesis and define metrics to identify the success of product initiatives, this is the role for you!

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.

We’re looking for a Product Manager with a demonstrated interest and aptitude for AI. While formal on‑the‑job experience with AI is a plus, we highly value candidates who have proactively incorporated AI into their personal projects, explored AI‑driven development environments (e.g., Cursor, Git Hub Copilot), or built automations using AI agents. Show us how you’ve used AI to learn, build, and solve problems beyond basic text generation.

• A knowledge and passion for emerging technologies (API’s, Big Data, Native UI's) to incorporate into building great products
• Use SQL to build a data‑back strategy, identify insights, and troubleshoot issues
• Own day to day setting and monitoring of KPIs – requires strong SQL/data analysis skills
• Someone comfortable with backend products who is not afraid to challenge the norm and do what is right for the team
• Proficiency in handling large data files using SQL, Python, and/or R
• Own day to day operations of product, including identifying bugs or leverage opportunities via comprehensive understanding of data
• A product‑centric mindset to take a product from ideation to production and continually iterate improvements
• A customer‑first mindset
• A strategic thought leader who can create a compelling vision and story to present to senior executives and inspire direct and partner teams
• A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging
• Creating and maintaining a healthy team culture through thoughtful leadership
• Results focused and able to manage and prioritize multiple projects simultaneously
• Identify, prioritize, and launch innovative, merchant‑focused products that drive revenue and customer value

• 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 the system’s compliance with enterprise patterns
• Relentlessly push to understand user and stakeholder needs and ensure they are considered in prioritization and trade‑off discussions
• Create a vision and roadmap for your product that addresses stakeholder needs
• Partner with analysts, data scientists, designers, engineers, and others to continuously refine the roadmap and harvest insights from experiments and product launches
• Build and maintain strong relationships with leaders and stakeholders that depend on the capabilities and performance of our platforms
• Define, socialize, and monitor key performance indicators to understand the evolution and success of the project

• At least 5 years of experience working in Product Management
• At least 5 years experience working with SQL
• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
• A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
• A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related…