Senior Associate, Product Manager, Card Intelligence
Product Management
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.
Do you dream of well-designed and intuitive products and customer experiences? Do you want to be the one who introduces change to help tens of millions of customers make smarter financial choices? Do you want to change the way people manage their money?If you answered yes to all of these questions, then product management at Capital One may be a fit for you
In this role, youll learn the essentials of being a product manager, and we4ll invest in you to grow in four key areas:
Human Centered
You9ll collaborate with tech teams to build comprehensive acceptance criteria, identifying and elevating any need for additional research to define future feature design
You9ll breakdown business epics into features and further into user stories, driving your team towards lowest effort or Minimal Viable Product (MVP) for a valid feature test
Business Focused
Demonstrating a growth mindset, you9ll effectively use hypothesis-driven assessment of data to ensure your product or feature delivers on real business needs
You9ll own and prioritize feature development roadmaps, ensuring all necessary processes and procedures are followed to manage risk
Technology Driven
You9ll work autonomously in an agile environment, to conduct research and develop features that utilize new and evolving technology
You9ll collaborate with designers, technologists, data scientists and subject-matter experts to build cutting edge solutions to help customers
You9ll deliver well-managed product platforms for customers by seeking to understand technology trends and architecture strategy
About the Team
In Card Intelligence, we9re using Machine Learning (ML), including Generative AI, to build the future of how we work with our customers across the entire customer lifecycle. As a key player in our Card Machine Learning division, you9ll collaborate with talented data scientists and engineers to develop and deploy predictive ML and Generative AI models to help support our fraud prevention teams
You9ll do this by:
Working across teams to build products that enable seamless and scalable anti-fraud models, influence strategic decisions, and contribute to building a thriving product practice in support of our overall Machine Learning capabilities.
Partnering with leaders across our fraud prevention business, data science, and engineering teams to reduce the time it takes to bring models to market through identifying re-usable solution patterns.
We want you if you are:
Intellectually Curious. You ask why, you explore, you9re not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges
Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they9re doing what they9re doing. You always can rally associates to work with you
Do-er. You9re biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You9re well organized, able to multitask and able to prioritize your work
Passionate & Customer Focus. You care about growing others and bringing them together around what9s possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs
Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help
Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships
Basic Qualifications:
Bachelor9s degree or military experience
At least 1 year of product management experience or at least 1 year of experience in product design, agile delivery, business analysis, data science, or software engineering
Preferred Qualifications:
Bachelor9s degree in computer science or engineering
1+ years translating business strategy or analysis into consumer facing digital products
1+ years of experience working on core product platforms powering digital experiences
1+ years working with cross functional teams as a product owner in an agile development process
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $111,200 - $126,900 for Sr. Associate, Product Management
New York, NY: $121,300 - $138,400 for Sr. Associate, Product Management
Richmond, VA: $101,100 - $115,400 for Sr. Associate, Product Management
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate9s offer letter.
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.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.