Manager, Product Manager, Small Business Bank

Capital One•McLean, VA
•Hybrid

About The Position

Capital One’s Small Business Bank team is building digital banking capabilities to help small businesses grow, scale, and thrive. The Product Manager will lead a team using data and technologies such as AI and machine learning to identify risky behavior and protect customers’ money, while balancing security with an easy customer experience. The role operates in a fast-paced, dynamic environment where fraud tactics continually change. The position focuses on developing product management capabilities across human-centered design, business strategy, technology, and transformational leadership. The Product Manager collaborates with technology teams to define acceptance criteria, identify research needs, break epics into features and user stories, and guide teams toward minimum viable products for valid feature tests. The role also uses hypothesis-driven analysis, owns and prioritizes feature roadmaps, and ensures processes and procedures are followed to manage risk. Working autonomously in an agile environment, the Product Manager researches and develops features using evolving technology and collaborates with designers, technologists, data scientists, and subject-matter experts. They work to deliver well-managed customer product platforms informed by technology trends and architecture strategy, build relationships across teams and stakeholders, and communicate product roadmaps that deliver business value. This is a hybrid position, subject to Capital One’s policy on required on-site presence at the designated office. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One offers health, financial, and other benefits; eligibility varies by employment status and management level.

Requirements

  • Currently has, or is in the process of obtaining by the scheduled start date, a bachelor’s or master’s degree in a quantitative field, business, or marketing; alternatively, a bachelor’s degree in any field and at least three years of Product Management experience.
  • Ability to communicate complex ideas clearly to different audiences and rally associates around shared priorities.
  • Bias toward action, ability to overcome roadblocks, and strong organization, multitasking, and prioritization skills.
  • Customer focus and ability to understand the needs of external or internal customers.
  • Appetite for learning new subjects and technologies, with humility to ask for help.
  • Ability to work with diverse people, drive a team toward a common goal, and build lasting relationships.
  • Comfort with ambiguity and a willingness to learn and take on new challenges.

Nice To Haves

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

Responsibilities

  • Collaborate with technology teams to build comprehensive acceptance criteria and identify where additional research is needed to inform future feature design.
  • Break business epics into features and user stories, guiding the team toward the lowest-effort minimum viable product for a valid feature test.
  • Use hypothesis-driven assessment of data to ensure products and features address real business needs.
  • Own and prioritize feature development roadmaps, ensuring necessary processes and procedures are followed to manage risk.
  • Work autonomously in an agile environment to research and develop features using new and evolving technology.
  • Collaborate with designers, technologists, data scientists, and subject-matter experts to build customer solutions.
  • Develop well-managed product platforms by understanding technology trends and architecture strategy.
  • Participate in horizontal forums and build trusted relationships with technology teams, designers, internal stakeholders, and partner teams.
  • Articulate and share a product roadmap that delivers business value and elevates team results.
  • Lead a team using data and technologies such as AI and machine learning to identify risky behavior and protect customers’ money while balancing security with ease of use.

Benefits

  • Comprehensive health benefits
  • Financial benefits
  • Other benefits supporting total well-being
  • Performance-based incentive compensation, potentially including cash bonuses and/or long-term incentives
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service