Former Discover Intern, MBA Product Manager - 2026
Capital OneAbout the role
Key Role Details
Full-time new hires for this role will start as a cohort within our MBA Development Program in August 2026.
This role is a full-time position, designed as a career accelerator to foster the next generation of leading talent.
Participation in the program requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One’s hybrid working model.
In order to be eligible for this role, you must have participated in a 2025 Discover internship.
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
Basic Qualifications
Currently has, or is in the process of obtaining, a 2-year MBA with an expectation that your degree will be obtained by August 2026 or earlier.
A Bachelor's Degree or Masters 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
At least 3 years of professional work experience in product management, tech, data science, business analysis, consulting, operations, military, or customer service
Preferred Qualifications:
Demonstrated interest and experience in product management, software delivery, data science, software engineering, or leveraging software to solve customer and business problems
At least 2 years of experience leveraging data and customer insights to make strategic business decisions, influencing stakeholders to adopt proposed strategies, translating business strategy into roadmaps, and leading high functioning teams through execution
MBA joint degrees with technical Master’s programs (e.g., MS/MBA)
4+ years of professional experience in Technology or Data Science
MBA Product Manager - 2026
Product Managers at Capital One build products that empower millions of customers to achieve financial success and thousands of employees to serve our customers. Our PMs are human-centered, business-focused, technology-driven leaders. They are at the forefront of Capital One’s mandate to bring cutting-edge technology to the challenges of financial services. They are strong collaborators and communicators, comfortable working on cross-functional teams and creating a culture of radical transparency across stakeholders.
Product-management roles are as diverse as our business, including: Financial inclusion and health; rewards, travel, and benefits; mobile; fraud detection; and platforms such as data and machine learning, payments, marketing, credit and acquisitions, voice and agent tools, and more. Our MBA PM roles aim to give first-time and experienced PMs the chance to learn new skills and disciplines, the exposure to solve real and impactful business and customer problems at massive scale, and development opportunities to grow as leaders and general managers.
As part of the MBA class, you will go through Capital One’s professional development program, which includes:
A cohort-based experience with mentorship, networking activities, and meaningful interactions with senior leadership
Experiential training focused on customer-centric product design, analysis, and technical skills
Coaching to support your growth as a leader and help you think about shaping a career at Capital One
Specific responsibilities may include, but are not limited to -
Product strategy: Own success and life cycle of features for a product and/or platform, setting its strategy in line with overall business goals and driving prioritization decisions toward improvements. Translate business strategy into products; solve the right problems by deeply understanding our business, developing customer empathy, and integrating multiple streams of data
Hypothesi
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