Manager, Product Manager -- Machine Learning Experience, Enterprise Platform Development Team
Capital OneAbout the role
Capital One is a high-tech company, a scientific laboratory, and a nationally recognized brand all in one reaching tens of millions of consumers. We are a passionate and entrepreneurial team embracing bold ideas, fostering collaboration and delivering great experiences for our customers. Machine learning is at the heart of our approach. Our teams provide millions of customers with individualized, real-time experiences, protection, and decisions driven by machine learning and advanced analytic capabilities. In order to further scale our efforts in this space, we are building a world class machine learning platform. This platform will enable our data scientists and machine learning engineers to take models from conception to production faster and safer than ever before. This work is core to Capital One’s mission, changing banking for good!
As a Product Manager on the Machine Learning Experience (MLX) Product team, you will be part of the ML Enterprise Platform Development Team designing and delivering a best in class managed compute product for Capital One Data Scientists. This team is focused on building a fast, frictionless compute experience for data scientists and analysts so they can focus on building and training business-critical ML models that power our one-of-a-kind banking experiences. We’re passionate about building platform software for the next generation of data science at Capital One and are looking for someone excited to build managed compute services at scale.
This role represents the needs of the customer to inform the platform roadmap ensuring the capabilities being delivered are aligned with the intended business outcomes. You will be responsible for creating a frictionless onboarding experience for new users The ideal candidate for this role is passionate about technology and deeply empathizes with internal and external customer needs. They are comfortable in conversation with engineering teams as well as stakeholders ranging from data scientists to senior leaders.
Specific responsibilities include, but are not limited to:
Develop and communicate the product vision and strategy for key components of the platform.
Deeply understand the needs of data scientists and engineers across Capital One.
Prioritize the Product Backlog to maximize business and customer outcomes.
Incorporate design thinking and analytics to inform product design.
Enable collaboration and ensure communication between teams.
Maintain a healthy backlog of work and play a critical role in many agile ceremonies.
Support the team with escalation and resolution of impediments.
Serve as the connection between customers, Capital One’s mission, and your team.
We want you if you are:
Passionate about building impactful products.
You enjoy putting yourself in the shoes of customers. Even better if you have experience doing this with internal customers.
You have expertise in, or are excited about, cloud services experience or managed compute experience.
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 have excellent oral and written communication skills.
You are highly collaborative and have the ability to influence and lead.
Basic Qualifications:
Bachelor’s Degree or military experience
At least 3 years of experience in product management or at least 3 years of experience in product design, agile delivery, business analysis, data science, or software engineering
Preferred Qualifications:
4+ years of experience in Data Science or Machine Learning
Proficiency with Python, Spark, or SQL
Experience designing, implementing, and scaling data pipelines for Machine Learning Models
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.
New York City (Hybrid On-Site):
$1
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