CPT Staff AI Product Manager Jobs
Staff AI Product Manager roles sit at the intersection of machine learning systems and product strategy, making them a strong CPT fit for graduate students in computer science, data science, or business analytics programs. Your DSO must confirm the role is integral to your curriculum before you start.
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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 JobsStaff AI Product Manager CPT: Frequently Asked Questions
Does a Staff AI Product Manager role qualify as an integral part of my curriculum for CPT?
It depends on your specific program and how you frame the connection. Graduate programs in computer science, data science, product management, or business analytics are most likely to satisfy the integral-part requirement for this role. Your DSO makes the final determination, so bring a copy of the job description and map it to specific courses or program learning outcomes before your appointment.
Can I do CPT as a Staff AI Product Manager at a startup without an HR or immigration team?
Yes, but it requires more legwork on your end. Smaller employers may not know how to issue a CPT-compliant offer letter. You'll need to guide them on what details to include: your start date, the role title, the work location, and confirmation that you're working under F-1 CPT authorization. Your DSO's office often has a template you can share with the employer.
How do I find Staff AI Product Manager employers who are comfortable with CPT students?
Search Migrate Mate to filter for employers with Labor Condition Application filing history in AI and product roles. Employers who've filed LCAs before are already familiar with work authorization requirements and are less likely to withdraw an offer when they learn you're on F-1 CPT. This avoids wasted time on employers who panic at the mention of immigration paperwork.
Does CPT for a Staff AI Product Manager role affect my OPT eligibility after graduation?
Full-time CPT for 12 months or more eliminates your OPT eligibility entirely, so track your cumulative full-time CPT carefully. Part-time CPT, defined as 20 hours per week or fewer, does not affect OPT regardless of duration. Staff AI PM roles are typically full-time, so confirm your total CPT usage with your DSO before accepting any offer.
What should I expect during the CPT authorization process for a Staff AI PM role at a large tech employer?
Large employers often route CPT requests through a recruiting coordinator or HR generalist who may not be familiar with the process. Expect to provide your DSO authorization letter, your updated I-20, and sometimes a brief explanation of what CPT is. Budget at least two to three weeks between offer acceptance and your target start date to allow time for both your school's processing and the employer's internal approval steps.