Product Manager - Machine Learning

Clarendon Center (12089), United States of America, Arlington, Virginia

At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Product Manager - Machine Learning

Within the Card-ML team, we are transforming banking by leveraging the power of Machine Learning. Our team is focused on working with our Data Science and Technology partners to identify, vet out, and then pursue the most complex problems that may be solved with Machine Learning within Capital One. Each day will require a discernible eye for where we can find the most leverage and where our teams talents will deliver the most value. This will all be done in an ambiguous setting that will require a Machine Learning (ML) Product Manager to proactively build and lead cross-functional relationships across myriad of teams and titles. We need rigorous, business-savvy, and technically-minded product managers to join us along the way.

In this role, you'll develop and hone skills in identifying ML use cases and have the opportunity to own these prioritized initiatives from ideation to delivery. You'll be the lynch pin across many teams and will be the sole owner for clearly laying out the business value and defining measurements for your teams success. We want you to be obsessive on the "why," and to develop articulate stories on the "how." You'll also be expected to evangelize your teams progress and wins with senior stakeholders and should be well-versed in both the business and technical aspects of your products.

Specific responsibilities include:

  • Collaborate with teams from across the organization to identify possible areas where Machine Learning may be a fit to solve complex business problems
  • Use Design Thinking (or another, empathy-driven approach) best practices to develop clear use cases, problem statements, and business value
  • Build domain expertise around Machine Learning application (e.g. classification, regression, clustering, deep learning, reinforcement learning, etc.)
  • Own the product roadmap and delivery for prioritized use cases that are identified
  • Advocating for opportunities to improve the richness of our strategic data to help accelerate long term customer success

Characteristics we're looking for:
  • A bias toward action and a proven track record of delivering minimum viable products and business models to market at rapid speed
  • Ability to proactively identify areas where we can leverage ML to solve difficult problems
  • Excellent communication skills to engage an organization of multiple specialties, and tell compelling stories with ease to senior executives
  • A structured problem-solving approach to help a team work through a wide range of issues
  • Intellectual curiosity and domain expertise in Machine Learning
  • Ability to prioritize across competing priorities and quickly-changing landscape
  • Ability to actively seek out multiple opinions, yet make independent decisions and influence positive outcomes
  • A passion for compelling value-driven story-telling
  • Strong customer-focused design thinking skills (internal and external)
  • Experience managing cross-functional teams and ambiguous environment
  • Experience delivering products in an enterprise environment
  • Experience evaluating in-market performance of delivered product

Basic Qualifications:
  • Bachelor's Degree or military experience
  • At least 1 year of working in an Agile methodology

Preferred Qualifications:
  • Bachelor's Degree in Business, Computer Science, Engineering or related fields
  • MBA or Master's degree

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

Meet Some of Capital One's Employees


Senior Manager, Software Engineering

Jyotisana manages five teams who simultaneously work on internal and external technology projects in areas from communication to customer service.


Senior Manager, Data Science

Abhishek and his team work horizontally to support other business teams by building tools they can leverage to make more efficient use of their time.

Back to top