CPT AI Product Manager Jobs
AI Product Manager jobs on CPT let you apply machine learning product cycles directly to your degree requirements, but your DSO must authorize each role as an integral part of your curriculum before you start. These positions sit at the intersection of technical fluency and product strategy, making curriculum alignment a real conversation, not a formality.
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Get Access To All JobsArtificial Intelligence Engineering Intern
The Artificial Intelligence Engineering Intern is responsible for supporting the development, implementation, and management of AI solutions and machine learning models that address complex business challenges. This internship position is designed to provide hands-on experience in AI development while fostering collaboration across multiple departments to create innovative solutions that enhance decision-making and business performance.
Responsibilities:
- Collaborate with team members to understand business requirements and assist in designing scalable AI applications aligned with organizational objectives.
- Develop high-performing, reusable, and reliable code following industry standards and best practices under the guidance of senior engineers.
- Support various phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and maintenance.
- Assist in building pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
- Work with data analysts, data engineers, and software engineers to translate business requirements into technical solutions.
- Troubleshoot, analyze, and resolve AI performance issues and production problems.
- Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
- Participate actively in team meetings, contributing ideas and insights to drive continuous improvement.
- Create necessary documentation relating to work produced during the internship.
Basic Qualifications:
- Currently pursuing a Bachelor's degree or higher in Computer Science, AI, Data Science, or a related field.
- Strong foundational knowledge of Python programming (e.g., Spark, pandas) and SQL.
- Familiarity with AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks.
- Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
- Exposure to software development fundamentals such as SOLID principles, Object-Oriented Design, and Domain Driven Design.
- Strong problem-solving skills and a proactive attitude.
Bonus Points:
- Familiarity with tools such as Visual Studio, Git, and Azure DevOps.
- Knowledge of Agile methodologies and Test Driven Development (TDD).
- Awareness of cutting-edge industry trends and technologies.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Artificial Intelligence Engineering Intern
The Artificial Intelligence Engineering Intern is responsible for supporting the development, implementation, and management of AI solutions and machine learning models that address complex business challenges. This internship position is designed to provide hands-on experience in AI development while fostering collaboration across multiple departments to create innovative solutions that enhance decision-making and business performance.
Responsibilities:
- Collaborate with team members to understand business requirements and assist in designing scalable AI applications aligned with organizational objectives.
- Develop high-performing, reusable, and reliable code following industry standards and best practices under the guidance of senior engineers.
- Support various phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and maintenance.
- Assist in building pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
- Work with data analysts, data engineers, and software engineers to translate business requirements into technical solutions.
- Troubleshoot, analyze, and resolve AI performance issues and production problems.
- Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
- Participate actively in team meetings, contributing ideas and insights to drive continuous improvement.
- Create necessary documentation relating to work produced during the internship.
Basic Qualifications:
- Currently pursuing a Bachelor's degree or higher in Computer Science, AI, Data Science, or a related field.
- Strong foundational knowledge of Python programming (e.g., Spark, pandas) and SQL.
- Familiarity with AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks.
- Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
- Exposure to software development fundamentals such as SOLID principles, Object-Oriented Design, and Domain Driven Design.
- Strong problem-solving skills and a proactive attitude.
Bonus Points:
- Familiarity with tools such as Visual Studio, Git, and Azure DevOps.
- Knowledge of Agile methodologies and Test Driven Development (TDD).
- Awareness of cutting-edge industry trends and technologies.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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Get Access To All JobsAI Product Manager CPT: Frequently Asked Questions
Does an AI Product Manager role qualify for CPT authorization?
It depends on how your program defines curriculum integration. AI PM roles that involve applying machine learning product methodologies, data-driven roadmapping, or AI system evaluation typically satisfy the requirement when connected to a graduate course in product management, data science, or a related field. Your DSO makes the final call, and the job description has to make the connection explicit.
Can I work full-time as an AI Product Manager on CPT?
Full-time CPT, meaning 20 or more hours per week, is allowed but reduces your OPT eligibility. Twelve months or more of full-time CPT exhausts your OPT entirely, including the STEM extension. Part-time CPT, under 20 hours per week, doesn't affect OPT. Most F-1 students in AI PM roles structure CPT around a thesis or capstone to justify full-time hours without burning their OPT.
What documents do I need to start an AI Product Manager CPT job?
You need an updated I-20 with the CPT authorization endorsed by your DSO, specifying the employer name, start and end dates, and full-time or part-time status. Your employer will also need your I-20 and EAD-equivalent documentation for I-9 verification. Most AI PM roles at larger employers also require E-Verify completion within three days of your start date.
How do I find AI Product Manager employers who understand CPT?
Migrate Mate filters employers by LCA and H-1B visa filing history, which identifies companies already familiar with F-1 work authorization processes. AI PM roles at employers with active LCA filings for product and engineering positions are more likely to have HR teams who can process CPT paperwork without delays or misunderstandings about your authorization.
Does CPT as an AI Product Manager help with H-1B sponsorship later?
CPT itself doesn't affect H-1B eligibility, but the employer relationship you build during CPT often does. Many H-1B petitions for AI PM roles are filed by CPT employers who converted interns to full-time hires. The role also needs to qualify as a specialty occupation under USCIS standards, meaning a direct-field bachelor's degree or higher must be a normal requirement for the position.