Manager, Product Management, Card Intelligence
Capital One is hiring a Manager, Product Management, Card Intelligence. Level rates it ; you can apply on Capital One.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Machine learning, GenAI and Python among its tools and skills.
- Level classes it as a senior role.
- Capital One has 2,000+ other open roles on Level.
AI in this role
Lead product management for ML and GenAI infrastructure and model delivery roadmaps within Card Intelligence at Capital One.
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. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.
About the Team
Are you passionate about enabling cutting-edge AI solutions to drive innovation in the financial services industry? In Card Intelligence, we’re using ML and GenAI to build the future of how we engage and acquire our customers. As a product manager on our Marketing & Acquisitions team, you’ll collaborate with talented data scientists and engineers to develop technical capabilities and deploy solutions to help support our customers. You’ll also work across teams to build solutions that enable seamless and scalable model development and influence strategic decisions.
What You'll Do:
Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of iterative software delivery.
Leverage customer insights to shape priorities and roadmap development while advocating for and driving alignment between stakeholders.
Own and prioritize three-year ML infrastructure and model delivery roadmaps that tie to business outcomes.
Identify points of leverage in complex problems or systems, and utilize data effectively to define success metrics.
Exercise balanced judgment in decisions about risks of both actions taken and not taken while innovating in a well-managed way.
Leverage technology and end-state architecture vision to partner with technology teams to drive comprehensive design decisions on white space technical problems.
Share business strategy and roadmap with Tech partners to establish context while also leading and facilitating agile ceremonies alongside Tech Lead.
Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing.
Capital One Product Framework
In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product Management:
- Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions
- Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence
- Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value
- Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks
- Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment
Basic Qualifications:
- 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 or 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), Business or Marketing
OR
- Bachelor's degree in any field and at least 3 years of Product Management experience
Preferred Qualifications:
- Experience translating business strategy and analysis into consumer facing digital products
- Prior experience with data engineering problems and platforms, machine learning infrastructure, MLOps, software engineering
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.
Chicago, IL: $149,800 - $171,000 for Manager, 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 candidate’s 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 the Capital 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.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
How we rate this
Manager, Product Management, Card Intelligence at Capital One rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where ml infrastructure was part of your work. What did you do?
- Tell me about a project where roadmapping was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ML Ops, Product Management, ML Infrastructure, Roadmapping, and Stakeholder Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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