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Internship Generative Ai Product Management Jobs

NTT DATA

AI Product Manager

Jersey City, NJ · On-site

NTT DATA is a global innovator of business and technology services, seeking an AI Product Manager to define the strategy and execution for Generative AI solutions. The role involves collaborating ...

Estuate Inc.

AI Product Manager

El Segundo, CA · On-site

Foster a culture of experimentation, collaboration, and responsible innovation What We're Looking For * 10+ years of product management experience, including experience with AI/ML, Generative AI, or ...

ERP Suites

AI & Mobile Product Manager

Loveland, OH · On-site +1

The ideal candidate combines strong product management expertise with a practical understanding of artificial intelligence, including generative AI, machine learning, AI agents, automation, model ...

Arcadia

Principal Product Manager, AI Product

This leader will own critical product investments that leverage generative AI, advanced analytics ... Mentor and elevate product management practices across the broader Product organization What You'll ...

Mattel

AI Product Manager

El Segundo, CA

... management experience, including experience with AI/ML, Generative AI, or Agentic AI. * Proven track record launching and scaling AI products in complex enterprise environments * Ability to write ...

Mattel

AI Product Manager

El Segundo, CA · On-site

... management experience, including experience with AI/ML, Generative AI, or Agentic AI. * Proven track record launching and scaling AI products in complex enterprise environments * Ability to write ...

Arcadia

Principal Product Manager, AI Product

This leader will own critical product investments that leverage generative AI, advanced analytics ... Mentor and elevate product management practices across the broader Product organization What You'll ...

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How much do internship generative ai product management jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for internship generative ai product management in the United States is $21.19, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.04 per hour, depending on experience, location, and employer.

What is an internship in generative AI product management?

An Internship in Generative AI Product Management is a temporary position where students or recent graduates assist in overseeing the development and launch of products that use generative artificial intelligence technologies. Interns typically collaborate with engineering, design, and marketing teams to define product features, analyze user needs, and help guide the product's vision and strategy. This role provides hands-on experience in both AI technology and product management, offering exposure to real-world challenges and decision-making in a fast-paced tech environment.

What types of projects and responsibilities can I expect as an intern in generative AI product management?

As an intern in Generative AI Product Management, you will typically support the development and launch of AI-powered features by collaborating with engineering, design, and data science teams. Your daily tasks may include conducting user research, analyzing market trends, defining product requirements, and helping to prioritize feature backlogs. Interns often participate in sprint meetings, contribute to product documentation, and help track key performance metrics. This role provides hands-on experience in a fast-paced, cross-functional environment, giving you valuable insight into both the tech and business aspects of generative AI products.

What are the key skills and qualifications needed to thrive as an intern in generative AI product management?

To thrive as an intern in Generative AI Product Management, you need a foundational understanding of AI concepts, product lifecycle, and preferably coursework or experience in computer science, engineering, or business. Familiarity with tools like Jira, Figma, and basic programming skills, as well as knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch), are highly valuable. Strong communication, analytical thinking, and collaboration skills help interns bridge technical and non-technical stakeholders. These skills are crucial for effectively contributing to AI product development, aligning teams, and delivering impactful user experiences.

What is the difference between Internship Generative Ai Product Management vs Generative Ai Product Manager?

AspectInternship Generative Ai Product ManagementGenerative Ai Product Manager
CredentialsEnrolled in or recent graduate of relevant degree programsTypically requires experience in product management and AI
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time role, strategic responsibilities, leadership
Industry UsageUsed by companies to train future talent, entry-level onboardingUsed by companies to lead product development and strategy

Internship Generative Ai Product Management is an entry-level, learning-focused role designed for students or recent graduates gaining experience in AI product management. In contrast, a Generative Ai Product Manager is a full-time professional responsible for leading AI product strategies and development. The internship provides foundational exposure, while the full-time role involves strategic decision-making and leadership in the industry.

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Internship Generative Ai Product Management jobs near you
Infographic showing various Internship Generative Ai Product Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $44,083 per year, or $21.2 per hour.

Senior Product Manager - C3 Generative AI

C3 AI

Redwood City, CA

$154K - $204K/yr

Full-time

Re-posted yesterday

Job description

C3 AI is seeking an experienced Senior Product Manager to lead the development and growth of our C3 Generative AI platform. As a Senior Product Manager, you will be responsible for driving product strategy, execution, and delivery, with a particular focus on the technical aspects of building and scaling AI solutions. This is a highly impactful role where you will work closely with engineering, data science, and customer-facing teams to bring innovative AI-driven products to market.

Responsibilities:

  • Lead the product lifecycle from ideation to delivery, ensuring alignment with business goals and technical feasibility.
  • Work closely with engineering and data science teams to define detailed product requirements and technical specifications for Generative AI solutions.
  • Translate customer and market needs into clear, actionable roadmaps and product features, balancing short-term priorities with long-term strategic vision.
  • Drive product development in collaboration with cross-functional teams, ensuring timely delivery of high-quality AI features and applications.
  • Conduct deep technical analysis of the AI/ML technologies that underpin the platform, influencing design decisions and product architecture.
  • Own the product's go-to-market strategy, working with marketing and sales to ensure successful product launches and adoption.
  • Collaborate with customer-facing teams to gather feedback and refine the product roadmap based on user needs, technical challenges, and market trends.
  • Manage stakeholder communications, including regular updates on progress, risks, and opportunities to senior leadership.
  • Monitor key product metrics and ensure alignment with performance goals, identifying opportunities for continuous improvement.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related technical field; advanced degree preferred.
  • 5+ years of product management experience in enterprise software, AI, or a related field, with a focus on technically complex products.
  • Strong understanding of AI/ML technologies, including experience with Generative AI, data pipelines, and model operationalization.
  • Proven experience working closely with engineering teams to deliver technically sound and scalable AI solutions.
  • Demonstrable ability to break down complex technical problems into user-friendly features and product experiences.
  • Strong analytical and problem-solving skills, with the ability to leverage data to drive product decisions.
  • Excellent communication skills, with the ability to translate technical concepts for non-technical audiences and influence senior stakeholders.
  • Experience managing full product lifecycles, from research and ideation to launch and iteration.
  • Ability to prioritize competing initiatives and manage timelines effectively in a fast-paced environment.

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.

Apply