Manager, Product Management

Location: Bangalore, Karnataka, India

Manager, Product Management

Job Summary

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 were 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.

Responsibilities

• 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.

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