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Capital One Manager Product Management - Referrals Core 
United States, Virginia, Arlington 
144699258

10.04.2025
Manager, Product Management - Referrals Core Experience, Shopping (Remote-Eligible)

What we are looking for:

  • 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

What you’ll do:

  • Own the referrals program core experience roadmap, from user discovery and ideation to execution and iteration

  • Define, socialize and monitor KPIs that reflect the health of the program, including growth, conversion, engagement and revenue impact

  • Lead the strategy of growth placements and integrate referral campaigns across channels across the product to maximize visibility and adoption of referrals

  • Lead a team of software engineers and designers to deliver a best in class referrals experience, including designing and testing new referrals mechanics, incentives, and UX improvements through A/B experiments and data-driven insights

  • Analyze and understand the competitive landscape and uncover novel ways to differentiate our offering and user experience

  • Develop a deep understanding user and business stakeholder needs, ensuring they’re considered in tradeoff and prioritization discussions

  • Create a vision and roadmap to address customer pain points and take Shopping’s referrals program to the next level

Basic Qualifications:

  • At least 3 years of experience working in Product Management

  • At least 3 years of experience 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 quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications:

  • Experience translating business strategy and analysis into consumer facing digital products

  • 2+ years of experience with A/B testing and multivariate experiments to optimize user journeys.

  • Experience in mobile-first products or platforms with large user bases

  • Experience in designing and optimizing growth loops, viral mechanics, or referral programs

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.