Manager, Product Management, Machine Learning Tools
Capital OneAbout the role
At Capital One, we’re changing banking for good. We were founded on the belief that no one should be locked out of the financial system. We’re dedicated to helping foster a world where everyone has an equal opportunity to prosper.
We’re a bank. But we don’t think like one. We’re always thinking about what’s next. About how we can innovate, inspire, and develop the tools our customers need to improve their financial lives.
Machine learning and AI are at the heart of our approach. We provide millions of customers with individualized, real-time experiences, protection, and decisions driven by advanced AI/ML techniques. The Enterprise Tooling team maintains a suite of reusable AI/ML tools that empower Capital One developers to rapidly bring models to market and power best-in-class customer experiences.
As a Product Manager on the Enterprise ML Tooling product team, you will be the voice of the customer – data scientists and engineers at Capital One – and identify cutting-edge technologies to help them deliver next-generation capabilities to market. You’ll collaborate with a cross-functional team of product managers, engineers, and designers to define requirements and drive delivery of high value solutions to the enterprise.
The ideal candidate for this role is familiar with traditional ML techniques and emerging trends in Generative AI. They are equally comfortable discussing technical concepts with engineers and delivering presentations to senior leadership.
Specific responsibilities include, but are not limited to:
Develop and communicate the product vision for key ML and Generative AI capabilities.
Prioritize the product backlog to maximize business and customer outcomes.
Incorporate design thinking and analytics to inform product design.
Facilitate collaboration and communication between teams.
Maintain a healthy backlog of work and play a critical role in many agile ceremonies.
Keep the team unblocked by escalating road-blocks and fast-tracking resolutions.
Serve as a critical connection between your customers and your team.
We want you if you are:
Passionate about building impactful products.
You deeply understand the needs of modern data scientists, machine learning engineers, and Generative AI practitioners.
You have experience shipping products powered by ML or GenAI
You have experience developing ML models
You have excellent oral and written communication skills.
You are a learner who is able to quickly get up to speed in a highly technical environment.
You are experienced working in an Agile environment.
You are a do-er who can also zoom out and think strategically.
You are highly collaborative and have the ability to influence and lead.
Basic Qualifications:
At least 3 years of experience working in Product Management
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 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)
A 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) or an MBA with a quantitative concentration
Preferred Qualifications:
Experience translating business strategy and analysis into consumer facing digital products
Bachelor’s Degree in Computer Science or Engineering
MBA or Master’s degree
3+ years of experience in Agile product management
Familiarity with Machine Learning lifecycle and Gen AI frontier
Capital One will consider sponsoring a new qualified 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
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