
Director, Product Management, Enterprise AI and Machine Learning (ML) - AI Safety
Welcome to Capital One! We are looking for a highly experienced and motivated Director of Product Management to join our Enterprise AI and Machine Learning (ML) team. In this role, you will be responsible for leading our efforts in AI safety, ensuring that our AI and ML products and services are ethical, responsible, and secure. We are seeking an individual with a deep understanding of AI and ML technologies, as well as a strong background in product management and strategy. If you are passionate about creating a safe and responsible future for AI, and have the skills and experience to drive impactful change, then we want to hear from you!
- Develop and implement a comprehensive strategy for AI safety within Capital One's Enterprise AI and ML team.
- Lead and manage a team of product managers and specialists to ensure alignment with the AI safety strategy.
- Collaborate with cross-functional teams, including data scientists, engineers, and legal experts, to integrate AI safety principles into product development.
- Conduct thorough research and analysis of the latest AI and ML technologies, trends, and regulations to inform product decisions.
- Monitor and assess potential risks and ethical concerns related to AI and ML products and services, and develop mitigation plans.
- Define and communicate clear guidelines and policies for AI safety to internal teams and external stakeholders.
- Engage with industry experts and participate in conferences and events to stay informed and share best practices for AI safety.
- Act as a subject matter expert on AI safety, providing guidance and support to other teams within the organization.
- Continuously evaluate and improve the effectiveness of AI safety measures and processes.
- Represent Capital One's commitment to responsible and ethical AI in external communications and partnerships.
- Drive the development and adoption of standards and best practices for AI safety within the company.
- Stay up-to-date on industry regulations and compliance requirements related to AI safety, and ensure compliance within the organization.
- Collaborate with marketing and communication teams to effectively communicate AI safety initiatives to customers and the public.
- Foster a culture of innovation, collaboration, and responsibility within the Enterprise AI and ML team.
Extensive Experience In Product Management: The Ideal Candidate Should Have At Least 8-10 Years Of Experience In Product Management, With A Proven Track Record Of Successfully Leading And Launching Ai And Ml Products In The Enterprise Space.
Strong Understanding Of Ai And Ml Technologies: A Deep Understanding Of Ai And Ml Technologies, As Well As Their Applications And Potential Risks, Is Essential For This Role. The Candidate Should Be Able To Effectively Communicate Complex Technical Concepts To Both Technical And Non-Technical Stakeholders.
Experience In Enterprise Ai And Ml: The Candidate Should Have Experience In Developing And Managing Ai And Ml Products For Large Enterprises. They Should Be Familiar With The Unique Challenges And Considerations Involved In Implementing Ai And Ml Solutions At Scale.
Knowledge Of Ai Safety Principles: As The Director Of Ai Safety, The Candidate Should Have A Strong Understanding Of Ai Safety Principles And Best Practices. They Should Be Able To Proactively Identify Potential Risks And Develop Strategies To Mitigate Them.
Strong Leadership And Communication Skills: This Role Requires The Ability To Lead And Collaborate With Cross-Functional Teams, As Well As Effectively Communicate With Senior Leadership And External Stakeholders. The Ideal Candidate Should Have A Track Record Of Successful Project Management And The Ability To Influence And Drive Change.
Risk Management
Product Development
Project Management
Data Analysis
Machine Learning
Team Leadership
Stakeholder engagement
Product Roadmap
Technical Expertise
Ai Strategy
Enterprise Solutions
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
collaboration
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Director, Product Management, Enterprise AI and Machine Learning (ML) - AI Safety in San Francisco, CA, USA is $200,000 - $250,000 per year. This can vary depending on factors such as the specific company, experience level, and additional bonuses or benefits. Some companies may offer higher salaries for this role, while others may offer lower salaries. It is important to research and negotiate for a salary that aligns with your skills and experience in this field.
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Capital One Financial Corporation is an American bank holding company specializing in credit cards, auto loans, banking, and savings accounts, headquartered in McLean, Virginia. Capital One is ranked 11th on the list of largest banks in the United States by assets.

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