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Head of Product, Machine Learning Experience Job Opening In India, India – Now Hiring Capital One


Job description

At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale.

Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward.

Product Management at Capital One is a critical, vibrant craft that requires a blend of entrepreneurial drive, keen business acumen, customer experience obsession, technical depth and strong people leadership.


We’re looking for a Senior Director, Product Management to join the Machine Learning Experience (MLX) team!


The MLX team is at the forefront of how Capital One builds and deploys responsible ML models and features;
we onboard and educate associates on the ML platforms and products that the whole company uses;
we drive new innovationand research;
and we’re working to seamlessly infuse Generative AI and ML into the fabric of the company.

The AI experience we're creating is 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 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
  • Responsible for a team of directly reporting product managers
  • 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:

  • Interested in building lasting relationships with peers and having fun while building products that delight customers and drive value to the business
  • You 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
  • You are a 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
  • 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
  • At least 15 years of experience in product management or at least 12 years of experience in business analysis or data science
  • At least 5 years of people leadership experience leading product manager teams


Preferred Qualifications:

  • MBA or Master’s degree
  • Experience building products for data scientists, machine learning engineers or model risk officers
  • Expertise in observability, logging, monitoring, tracing, AIOps and MLOps.
  • Experience with Machine Learning and Artificial Intelligence technologies
  • Experience working at a startup or in a startup environment

Required Skill Profession

Computer Occupations


  • Job Details

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Key qualifications for Head of Product, Machine Learning Experience typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Head of Product, Machine Learning Experience Job Success

Capital One interview tips for Head of Product, Machine Learning Experience

Here are some tips to help you prepare for and ace your Head of Product, Machine Learning Experience job interview:

Before the Interview:

Research: Learn about the Capital One's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Head of Product, Machine Learning Experience interview at Capital One, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Capital One's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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