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Manager, Product Management - Product Marketing Management, AI/ML Platforms

Capital One
Full-time
On-site
Richmond, Virginia, United States
πŸ“¦ Product Marketing

πŸ“Œ Core Information

πŸ”Ή Job Title: Manager, Product Management - Product Marketing Management, AI/ML Platforms

πŸ”Ή Company: Capital One

πŸ”Ή Location: New York, NY (with remote flexibility)

πŸ”Ή Job Type: Full-Time

πŸ”Ή Category: Product Management

πŸ”Ή Date Posted: April 28, 2025

πŸ”Ή Experience Level: 2-5 years

πŸ”Ή Remote Status: Hybrid (on-site and remote)

πŸš€ Job Overview

Key aspects of this role include:

  • Driving product marketing strategies for AI/ML platforms
  • Acting as the voice-of-the-customer to inform product roadmaps
  • Collaborating cross-functionally to launch new products and features
  • Developing and executing go-to-market strategies
  • Creating engaging content and communications for users

ASSUMPTION: This role requires a strong understanding of AI/ML technologies and customer-centric mindset.

πŸ“‹ Key Responsibilities

βœ… Conduct user research to understand customer needs and pain points

βœ… Develop clear and compelling value propositions for products and features

βœ… Create and execute go-to-market strategies, including target segmentation, goal setting, user engagement, and communication plans

βœ… Develop various forms of content (e.g., datasheets, case studies, blog posts, presentations) to support product adoption and understanding

βœ… Collaborate with cross-functional teams to align strategy and execution

βœ… Analyze quantitative and qualitative data to measure campaign effectiveness, track adoption, and inform strategy adjustments

βœ… Facilitate forums for user feedback and work with senior leaders to triage and make actionable recommendations

βœ… Drive efficient operations across the product organization by defining best practices and enabling processes with the team and platform users

ASSUMPTION: This role requires strong communication, collaboration, and influencing skills to work effectively with various teams and stakeholders.

🎯 Required Qualifications

Education: Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems)

Experience: At least 3 years of experience in Product Management

Required Skills:

  • Proven experience in product marketing management, product management, or strategy consulting
  • Strong customer empathy and user-centered mindset
  • Excellent oral and written communication skills
  • Ability to operate autonomously and make sound judgments
  • Experience working in an Agile environment
  • Proficient in AI/ML technologies and emerging trends

Preferred Skills:

  • MBA or Master's degree
  • Experience developing and executing successful go-to-market strategies for technical products or platforms
  • Knowledge of or demonstrated investment in learning about emerging generative AI/ML methods, techniques, and applications

ASSUMPTION: This role requires a balance of strategic thinking and tactical execution, with a strong focus on customer understanding and communication.

πŸ’° Compensation & Benefits

Salary Range: $144,000 - $197,200 per year (New York, NY location)

Benefits:

  • Health benefits (medical, dental, vision)
  • Financial benefits (401(k) match, employee stock purchase plan)
  • Performance-based incentives (cash bonuses and/or long-term incentives)

Working Hours: Full-time (40 hours/week) with flexible remote work options

ASSUMPTION: The salary range provided is for the New York, NY location. Salaries for other locations may vary.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Financial Services, with a focus on leveraging AI/ML technologies to innovate banking products and services

Company Size: Large (10,001+ employees), with a decentralized and collaborative work culture

Founded: 1986, with a history of growth and expansion through strategic acquisitions and organic growth

Company Description:

  • Customer-centric approach to banking, focusing on digital innovation and personalization
  • Data-driven decision-making and a strong commitment to data security and privacy
  • Diverse and inclusive work environment, with a focus on employee development and growth

Company Specialties:

  • Business banking and commercial lending
  • Credit card and retail banking services
  • Digital banking and mobile solutions

Company Website: www.capitalone.com

ASSUMPTION: Capital One's focus on AI/ML technologies and data-driven decision-making presents unique opportunities for growth and innovation in the banking industry.

πŸ“Š Role Analysis

Career Level: Mid-level management, with opportunities for growth and advancement within the Product organization

Reporting Structure: This role reports directly to the Director of Product Operations, AI/ML Platforms

Work Arrangement: Hybrid (on-site and remote), with a flexible work schedule that accommodates both individual and team needs

Growth Opportunities:

  • Advancement within the Product organization, including senior product management roles or leadership positions
  • Expansion into other areas of the business, such as business banking or commercial lending
  • Development of expertise in AI/ML technologies and emerging trends, with opportunities to work on cutting-edge projects

ASSUMPTION: This role offers a unique blend of strategic and tactical responsibilities, with ample opportunities for professional growth and development.

🌍 Location & Work Environment

Office Type: Modern, collaborative office spaces with a focus on employee well-being and productivity

Office Location(s): New York, NY (with remote flexibility)

Geographic Context:

  • New York, NY: A major financial hub with a diverse and multicultural population
  • Remote work: Capital One offers flexible remote work arrangements, with opportunities to work from home or other locations

Work Schedule: Full-time (40 hours/week) with flexible remote work options and a focus on work-life balance

ASSUMPTION: The hybrid work arrangement allows for a balance between in-person collaboration and remote flexibility, catering to individual preferences and needs.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Phone or video screen with a member of the Talent Acquisition team
  • Technical assessment or case study presentation
  • On-site or virtual interview with the hiring manager and other team members
  • Final round with senior leadership

Key Assessment Areas:

  • Customer empathy and user-centered mindset
  • Communication and presentation skills
  • Technical proficiency in AI/ML technologies
  • Strategic thinking and problem-solving abilities

Application Tips:

  • Tailor your resume and cover letter to highlight relevant skills and experiences for this role
  • Prepare for behavioral and situational interview questions that focus on your problem-solving skills and customer-centric mindset
  • Research Capital One's products, services, and AI/ML initiatives to demonstrate your enthusiasm and understanding of the company

ATS Keywords: Product Marketing, AI/ML, Go-To-Market, Customer Understanding, Communication, Agile, Strategic Thinking, Collaboration, User Research, Product Enablement, Technical Knowledge, Problem Solving

ASSUMPTION: The interview process will focus on assessing your customer-centric mindset, technical proficiency, and strategic thinking abilities, with a strong emphasis on cultural fit.

πŸ› οΈ Tools & Technologies

  • AI/ML platforms and tools (e.g., TensorFlow, PyTorch, AWS SageMaker)
  • Product management software (e.g., JIRA, Asana, Trello)
  • Marketing automation tools (e.g., Marketo, HubSpot, Pardot)
  • Data analysis and visualization tools (e.g., Tableau, Power BI, Excel)

ASSUMPTION: This role requires proficiency in AI/ML technologies and tools, as well as a strong understanding of product management and marketing software.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Customer-centric: Focus on understanding and meeting customer needs
  • Data-driven: Use data to inform decision-making and drive continuous improvement
  • Inclusive: Foster a diverse and inclusive work environment that values and leverages the unique perspectives of all employees
  • Collaborative: Work together to achieve common goals and drive collective success

Work Style:

  • Agile and adaptable, with a focus on continuous learning and improvement
  • Customer-focused, with a strong emphasis on understanding and meeting customer needs
  • Collaborative and team-oriented, with a focus on collective success
  • Data-driven, with a strong commitment to evidence-based decision-making

Self-Assessment Questions:

  • How do you approach understanding and meeting the needs of internal customers (e.g., product users, stakeholders)?
  • How do you balance strategic thinking with tactical execution in your work? Can you provide an example?
  • How do you stay up-to-date with emerging AI/ML technologies and trends? Can you describe a recent learning experience?

ASSUMPTION: Capital One values employees who are customer-centric, data-driven, inclusive, collaborative, agile, and adaptable, with a strong focus on continuous learning and improvement.

⚠️ Potential Challenges

  • Working in a fast-paced and dynamic environment, with a focus on continuous innovation and improvement
  • Balancing the needs of multiple stakeholders, including product users, business leaders, and technical teams
  • Managing competing priorities and tight deadlines, with a focus on delivering high-quality work
  • Navigating a large and decentralized organization, with a focus on building and maintaining strong relationships across teams

ASSUMPTION: These challenges require strong communication, collaboration, and influencing skills, as well as the ability to operate effectively in a fast-paced and dynamic environment.

πŸ“ˆ Similar Roles Comparison

  • Product Marketing Manager (AI/ML) vs. Product Manager (AI/ML): The product marketing manager role focuses more on communication, branding, and go-to-market strategies, while the product manager role is more focused on product development, roadmap, and feature definition.
  • AI/ML in Financial Services vs. Other Industries: AI/ML in financial services presents unique opportunities and challenges, with a strong focus on data privacy, security, and regulatory compliance.
  • Career Path: Product Marketing Manager (AI/ML) β†’ Senior Product Marketing Manager β†’ Director of Product Marketing β†’ VP of Product Marketing

ASSUMPTION: This role offers a unique blend of strategic and tactical responsibilities, with ample opportunities for professional growth and development within the Product organization.

πŸ“ Sample Projects

  • Developing a go-to-market strategy for a new AI-driven fraud detection product, including target segmentation, communication planning, and user engagement
  • Creating a user-friendly and intuitive product walkthrough video series to support onboarding and adoption for an AI-powered customer service platform
  • Conducting user research to understand the needs and pain points of internal customers (e.g., product users, stakeholders) and developing actionable insights to inform product roadmaps and strategy

ASSUMPTION: These sample projects highlight the strategic and tactical responsibilities of the product marketing manager role, with a strong focus on customer understanding, communication, and branding.

❓ Key Questions to Ask During Interview

  • How does this role fit into the overall product strategy and roadmap for AI/ML platforms at Capital One?
  • What are the key priorities for this role in the first 30-60-90 days?
  • How does the product marketing team collaborate with other teams, such as product management, engineering, and design, to deliver successful products and features?
  • What are the most significant challenges facing the AI/ML platforms at Capital One, and how can this role help address them?
  • How does Capital One support the professional development and growth of its employees, particularly in the Product organization?

ASSUMPTION: These questions will help you better understand the role, the team, and the company, and demonstrate your interest in and enthusiasm for the position.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through this link
  • Tailor your resume and cover letter to highlight your relevant skills and experiences for this role
  • Prepare for behavioral and situational interview questions that focus on your problem-solving skills and customer-centric mindset
  • Research Capital One's products, services, and AI/ML initiatives to demonstrate your enthusiasm and understanding of the company
  • Follow up with the hiring manager or Talent Acquisition team within one week of submitting your application to express your interest and reiterate your qualifications

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.