Senior Product Manager, Enterprise Model Platform (EMP) Training (San Francisco) Job at Capital One, San Francisco, CA

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  • Capital One
  • San Francisco, CA

Job Description

Senior Product Manager, Enterprise Model Platform (EMP) Training 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

At Capital One, we dont think like a bank. Were on a mission to change banking for good by using technology to bring ingenuity, simplicity, and humanity to banking. Machine learning is at the heart of our approach. As part of Capital Ones Enterprise AI and Machine Learning Product organization, you will contribute directly to shaping the platforms and tools that thousands of engineers, data scientists and analysts across the business apply to making decisions, managing risk, detecting fraud, and delivering intelligent and personalized customer experiences.

About the Role

The senior product manager will be accountable for the orchestration engine of EMP Training. Hundreds of users rely on EMP Pipelines, powered by Kubeflow Pipelines, to train and tune ML models. These models power some of Capital Ones most critical businesses from fraud detection to credit risk to financial loss forecasting. This product leader will be the primary advocate for these users, transforming user feedback and market opportunities into a clear product roadmap that drives efficiency and innovation. The role of Pipelines is growing rapidly, extending to support model development with highly sensitive human data and internally developed large language models. This role requires a dynamic leader who can navigate the complexities of enterprise platforms and demanding customers to carve out a roadmap that drives Capital Ones business through cuttingedge AI capabilities.

Key Responsibilities

  • Champion the user: serve as the voice of the user to turn pain points into meaningful UX improvements. Manage a user communication strategy derived from ongoing surveys and feedback gathering. Fully own the user journey from onboarding to progression.
  • Drive platform excellence: enhance platform efficiency and performance by creating robust user analytics dashboards, managing intake requests, and partnering with tech teams on compliance and modernization efforts.
  • Strategic execution: work across the platform with product and tech leadership to shape a roadmap that centers the user experience, promotes a wellgoverned platform, integrates with the converging ecosystem of products, all while pushing the envelope on new AIdriven capabilities.

The Ideal Candidate

You are passionate about technology and have a genuine understanding of the challenges faced by engineers, data scientists, and analysts. You enjoy finding ways to make complex processes simpler and are not afraid to dive into the technical details of how our systems connect and deploy. As a strong communicator, you can effectively lead discussions with everyone from our technical teams to senior leadership. You stay current with the latest tools and trends in data, machine learning, and AI, and you are a vocal supporter of highquality work. Your knowledge and drive will be key to pushing our technology forward and creating better, datadriven experiences at Capital One.

Basic Qualifications

  • At least 5 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 leading product management for enterprise platforms, MLOps, data science, or internal developer tools.
  • Familiarity with cloud computing environments (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Kubernetes).
  • Industry recognized professional certifications (CISSP, GIAC, CISM, CCSP, CISA, CRISC, SAFe Product Management, AWS Security, AWS Advanced Networking Specialty, AWS Solutions Architect).
  • Experience translating business strategy and analysis into consumerfacing digital products.

Compensation

Salary ranges: Cambridge, MA: $193,000 - $220,300; Chicago, IL: $175,500 - $200,300; McLean, VA: $193,000 - $220,300; NewYork, NY: $210,500 - $240,300; Richmond, VA: $175,500 - $200,300; SanFrancisco, CA: $210,500 - $240,300. The role is eligible for performancebased incentive compensation.

Equal Opportunity Employer

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to nondiscrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drugfree 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, all relevant federal, state, and local laws and regulations. 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 18003049102 or via email at [email protected]. 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 [email protected].

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Job Tags

Full time, Local area,

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