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Internship Generative Ai Product Management Jobs

Techno Talent Inc.

AI Product Owner

Alpharetta, GA · On-site

Experience working with Generative AI, LLMs, AI agents, predictive analytics, or intelligent automation . * Strong experience with Agile/Scrum, product backlog management, user stories ...

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 ...

Avacend, Inc.

AI Product Manager

Bellevue, WA · On-site

AI Product Management * Generative AI & Large Language Models (LLMs) * RAG & Agentic AI * LangChain, AutoGen, CrewAI * Product Strategy & Roadmap Planning * AI Evaluation Frameworks * User Research ...

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 ...

AIG

Generative AI Product Owner

Atlanta, GA · On-site

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 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 ...

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

As of Sep 1, 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.

AI Product Owner

Alpharetta, GA • On-site

Techno Talent Inc.
See more jobs at Techno Talent Inc.external

Other

Posted 14 days ago

Job description

We are looking for an experienced AI Product Owner to lead the strategy, definition, and delivery of AI-powered products and solutions. The ideal candidate will act as the bridge between business stakeholders, data/AI teams, engineering, and users to translate business needs into scalable AI products that deliver measurable business value.

Key Responsibilities
  • Own and manage the AI product vision, strategy, roadmap, and backlog.
  • Translate business objectives and user needs into clear AI product requirements, user stories, acceptance criteria, and priorities.
  • Partner with Data Science, Machine Learning, Generative AI, Engineering, Data Engineering, UX, and business teams to deliver AI solutions.
  • Identify and prioritize high-value opportunities for AI, Machine Learning, Generative AI, LLMs, and automation.
  • Define product requirements for AI capabilities including predictive analytics, intelligent automation, recommendation systems, conversational AI, and GenAI applications.
  • Work closely with technical teams to understand data requirements, model capabilities, integrations, APIs, and platform dependencies.
  • Manage product backlog, sprint planning, prioritization, release planning, and stakeholder communication using Agile/Scrum methodologies.
  • Define and monitor product KPIs, adoption metrics, business outcomes, model performance, and ROI.
  • Conduct user research, stakeholder interviews, workshops, and requirements-gathering sessions.
  • Collaborate with AI/ML teams to establish appropriate model evaluation, monitoring, explainability, quality, and governance requirements.
  • Ensure AI products address data privacy, security, responsible AI, regulatory, and compliance considerations.
  • Coordinate UAT, product validation, release readiness, and production rollout.
  • Continuously evaluate market trends and emerging AI/GenAI technologies and identify opportunities for product innovation.
  • Communicate product strategy, progress, risks, and outcomes to senior leadership and business stakeholders.
Required Qualifications
  • 10+ years of overall product management, business analysis, technology, or related experience.
  • Proven experience working as a Product Owner / Product Manager for technology or data-driven products.
  • Strong understanding of AI/ML concepts and AI product lifecycle.
  • Experience working with Generative AI, LLMs, AI agents, predictive analytics, or intelligent automation.
  • Strong experience with Agile/Scrum, product backlog management, user stories, prioritization, and sprint execution.
  • Experience translating complex business requirements into technical/product requirements.
  • Strong understanding of data, analytics, APIs, cloud platforms, and technology integrations.
  • Excellent stakeholder management and communication skills.
  • Ability to work effectively across business and technical teams.
  • Strong analytical, problem-solving, and decision-making skills.
Preferred Qualifications
  • Experience delivering enterprise AI products from concept/POC through production.
  • Experience with Azure, AWS, or Google Cloud AI services.
  • Exposure to OpenAI, Azure OpenAI, AWS Bedrock, Vertex AI, or similar platforms.
  • Experience with RAG, vector databases, LLM applications, prompt engineering, or AI agents.
  • Knowledge of Responsible AI, AI governance, model risk, privacy, and security.
  • Experience with Jira, Confluence, Azure DevOps, or similar product management tools.
  • Experience working in large enterprise environments.
Key Skills

AI Product Management • Product Strategy • Product Roadmap • Product Backlog • Agile/Scrum • AI/ML • Generative AI • LLM • AI Agents • Predictive Analytics • Data & Analytics • User Stories • Requirements Gathering • Stakeholder Management • KPI/OKR Management • UAT • Release Management • API Integration • Cloud Platforms • Responsible AI • AI Governance • Business Analysis

Candidate Eligibility

Candidates must have valid US work authorization, such as EAD, and be available to work in Georgia (GA) as required by the client.

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