Manager, Product Management

Voyager (94001), India, Bangalore, Karnātaka
Manager, Product Management
Capital One India is looking to hire a Manager, Product Management for AI/ML Observability to join the Machine Learning Experience (MLX) team!
At Capital One India, we operate in a dynamic and intellectually stimulating environment, tackling fundamental business challenges at scale. We leverage advanced analytics, data science, and machine learning to extract valuable insights from vast datasets, informing product and process design, consumer behavior, regulatory and credit risk, and more. These insights are then used to develop cutting-edge, patentable products that propel the business forward. Product Management at Capital One is a vital and vibrant craft, demanding a blend of entrepreneurial drive, sharp business acumen, an obsession with customer experience, technical depth, and strong people leadership.
The MLX team is at the forefront of how Capital One builds and deploys responsible GenAI and ML models. We onboard and educate associates on the GenAI and ML platforms and products used across the company, drive new innovation and research, and seamlessly infuse Generative AI and ML into the fabric of the organization. The AI experience we're creating forms the foundation upon which our lines of business will continue to deliver next-generation machine learning-driven products and services for our customers.
Specific responsibilities include, but are not limited to:

• Develop and communicate the product vision and strategy for your area of responsibility.
• Deeply understand the needs of the data scientists, machine learning engineers, and model risk officers across Capital One.
• Partner with business and technology leadership to align on prioritization of key problems to be solved to maximize business and customer outcomes.
• Collaborate with teams in India and USA to drive alignment with different teams working on the platform.
• Incorporate design thinking and analytics to inform product design, with a strong emphasis on customer-centricity.
• Maintain a healthy backlog of work and play a critical role in agile ceremonies.
• Support the team with escalation and resolution of impediments.
• Serve as the connection between Customers, Capital One's mission, and Tech Partners.
• Collaborate with the design team and guide their investments for research, prototyping, experimentation, and overall design thinking.
• Clearly communicate product plans, benefits, and results, as appropriate, to a spectrum of audiences, from internal stakeholders to executives, employees to end-users.

We want you if you are:

• Interested in building lasting relationships with peers and having fun while building products that delight customers and drive value to the business.
• Enjoy putting yourself in the shoes of customers to identify their pain points and then collaborating with cross-functional teams to solve these customer challenges. Even better if you have experience doing this for data scientists and machine learning engineers.
• Learner who is able to quickly get up to speed in a highly technical environment.
• Passionate about building a well-rounded product management skill set that is human-centered, business-focused, and technology-driven with an emphasis on integrated problem solving and people leadership.
• Experienced working in an Agile environment.
• A do-er who can also zoom out and think strategically.
• Excellent oral and written communication skills.
• Highly collaborative and have the ability to influence and lead.

Basic Qualifications:

• Bachelor's Degree.
• At least 8 years of experience in software engineering or information technology.
• At least 5 years of experience in product management.
• At least 3 years of experience with AI/ML (powered) platforms, products or experiences.

Preferred Qualifications:

• MBA or Master's degree.
• 2+ years of experience in building enterprise platform products with focus on AIOps and MLOps, AI/ML/LLM observability and/or LLM-powered co-pilot, agent assist capabilities.
• 1+ years of experience with Generative AI, AI and Machine Learning technologies.
• Domain expertise in Data Science or Business Analytics.

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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 [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]
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).