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Internship Generative Ai Product Management Jobs

Apolis

AI Product Manager

San Diego, CA · On-site

Technical Product Management * AI / Machine Learning * Generative AI (GenAI) * LLMs / Agentic AI * Product Strategy & Roadmaps * Product Requirements (PRDs) * APIs & System Integration * Cloud ...

Interon IT Solutions

AI Product Owner

Chantilly, VA · Remote

Strong understanding of Generative AI, LLMs, NLP, Machine Learning, and AI product development concepts . * Experience defining product roadmaps, managing product backlogs, and writing detailed user ...

Watts

Generative AI Product Owner

Andover, MA · On-site

Agile product delivery and backlog management * Enterprise productivity tools and workflows * Data ... and do not apply to internship roles. * Competitive compensation based on your skills ...

AIG

Generative AI Product Owner

Atlanta, GA

Generative AI Product Owner Be part of something groundbreaking At AIG, we are making long-term ... We will incorporate best-in-class engineering and product management principles and your guidance ...

Avant

Generative AI Product Manager

Chicago, IL

$165K - $185K/yr

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product ... Product Builder: 5+ years in product or program management, ideally in tech or fintech, with ...

Avant LLC

Generative AI Product Manager

Chicago, IL · On-site

$165K - $185K/yr

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product ... Product Builder: 5+ years in product or program management, ideally in tech or fintech, with ...

Mondo

AI Product Manager

Centreville, VA · Remote

$140K - $150K/yr

... Management experience with recent ownership of AI-powered software products * Demonstrated experience launching AI or Generative AI products within a B2B SaaS environment * Experience leading ...

PeopleNTech

Senior Product Owner

Exton, PA · On-site

Define and drive the roadmap for Agentic AI and Generative AI initiatives aligned with business ... Requirements Gathering & Stakeholder Management * Collaborate with business leaders and functional ...

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

As of Jul 31, 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 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.

What are the key skills and qualifications needed to thrive as an Internship Generative AI Product Management, and why are they important?

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 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.
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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 July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $44,083 per year, or $21.2 per hour.

AI Product Manager

Apolis

San Diego, CA • On-site

Other

Posted 9 days ago

Job description

Job Title: Product Manager Technical – AI

Location: [Location]

Tax Term (W2, C2C): W2 / C2C

Job Type (Permanent/Contract): Contract

Duration: Long Term

Pay Range: DOE

Description:

We are seeking a Technical Product Manager (AI) to lead the strategy, roadmap, and delivery of AI-powered products. The ideal candidate will collaborate with engineering, data science, and business teams to build scalable AI/ML and Generative AI solutions that drive business value while ensuring responsible AI practices.

Role and Responsibilities:
  • Define and own the AI product vision, strategy, and roadmap.
  • Translate business needs into technical product requirements and success metrics.
  • Partner with Engineering, Data Science, Analytics, UX, and Operations to deliver AI-enabled products.
  • Drive AI/ML, Generative AI, and intelligent automation initiatives.
  • Define AI evaluation frameworks, KPIs, A/B testing, and product performance metrics.
  • Prioritize product features using customer feedback, analytics, and business goals.
  • Promote responsible AI practices including security, governance, fairness, and transparency.
Required Skills:
  • Technical Product Management
  • AI / Machine Learning
  • Generative AI (GenAI)
  • LLMs / Agentic AI
  • Product Strategy & Roadmaps
  • Product Requirements (PRDs)
  • APIs & System Integration
  • Cloud Platforms (AWS, Azure, GCP)
  • Data Analytics
  • A/B Testing
  • Product Metrics & KPIs
  • Agile / Scrum
Qualifications:
  • Bachelor''s degree in Computer Science, Engineering, Information Systems, Business, Mathematics, or related field.
  • 5+ years of Product Management or Technical Product Management experience.
  • Experience managing technical products, platforms, or customer-facing applications.
  • Strong experience working with engineering teams, APIs, cloud technologies, and scalable systems.
  • Excellent communication, stakeholder management, and product documentation skills.

Preferred: Experience with AI/ML, Generative AI, LLMs, Amazon Bedrock, AI evaluation frameworks, Responsible AI, and cloud-based AI platforms.


 

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