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Internship Generative Ai Product Management Jobs in Silver Spring, MD

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 ...

Dynamo AI

AI Product Manager, Public Sector

Washington, DC · On-site

$140 - $190/hr

... management, solutions, product engineering, strategy consulting, enterprise SaaS, or other customer-facing technical roles. * Deep expertise in Generative AI and LLM systems, including model behavior ...

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Internship Generative Ai Product Management information

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$9

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$39

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 Silver Spring, MD is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $24.86 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.

What job categories do people searching Internship Generative Ai Product Management jobs in Silver Spring, MD look for?

The top searched job categories for Internship Generative Ai Product Management jobs in Silver Spring, MD are:

Internship Generative Ai Product Management jobs near you
Infographic showing various Internship Generative Ai Product Management job openings in Silver Spring, MD as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,572 per year, or $21.9 per hour.

AI Product Owner

Interon IT Solutions

Chantilly, VA • Remote

Contractor

Re-posted 27 days ago

Job description

AI Product Owner – Healthcare

Location: Remote
Employment Type: W2
Industry: Healthcare

Job Description

We are seeking an experienced AI Product Owner to lead the strategy, development, and delivery of AI-driven products and solutions within a large healthcare environment.

The ideal candidate will have strong experience in Product Ownership, Artificial Intelligence, Generative AI, and healthcare technology. This role will work closely with business stakeholders, clinical teams, data scientists, AI/ML engineers, architects, and engineering teams to translate healthcare business needs into scalable AI product solutions.

Key Responsibilities

  • Define and own the AI product vision, roadmap, and strategy aligned with healthcare business objectives.
  • Partner with business, clinical, technology, and data teams to identify high-value AI and Generative AI use cases.
  • Translate business requirements into clear product requirements, user stories, features, and acceptance criteria.
  • Own and prioritize the product backlog based on business value, technical feasibility, risk, and customer impact.
  • Lead AI product initiatives involving Generative AI, Large Language Models (LLMs), Machine Learning, NLP, and intelligent automation.
  • Collaborate with AI/ML engineers, data scientists, and architects throughout the AI product development lifecycle.
  • Support the development of AI agents, conversational AI, copilots, and workflow automation solutions.
  • Identify opportunities to improve member experience, patient engagement, clinical workflows, healthcare operations, and employee productivity using AI.
  • Define product KPIs and measure AI solution performance, adoption, accuracy, business value, and user experience.
  • Facilitate product discovery sessions, stakeholder workshops, backlog refinement, sprint planning, and product demonstrations.
  • Ensure AI solutions follow healthcare data privacy, security, and compliance requirements, including HIPAA and enterprise AI governance standards.
  • Partner with Responsible AI, Legal, Compliance, Security, and Data Governance teams to manage AI-related risks.
  • Support AI model evaluation, human-in-the-loop processes, feedback mechanisms, and continuous product improvement.
  • Drive Proof of Concept (POC), Minimum Viable Product (MVP), pilot, and enterprise-scale AI product implementations.
  • Manage cross-functional dependencies and communicate product status, risks, priorities, and roadmaps to leadership.
  • Stay current with emerging AI technologies and identify opportunities to integrate new AI capabilities into healthcare products and platforms.

Required Qualifications

  • 10+ years of experience in Product Management, Product Ownership, Business Analysis, or Digital Product Development.
  • 3+ years of experience supporting AI, Machine Learning, Data, Automation, or Generative AI products.
  • 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 stories and acceptance criteria.
  • Strong experience working in Agile/Scrum environments.
  • Experience collaborating with Data Science, AI/ML Engineering, Data Engineering, and Cloud teams.
  • Strong stakeholder management and communication skills.
  • Ability to translate complex AI and technical concepts into clear business outcomes.
  • Experience with tools such as Jira, Confluence, Azure DevOps, or similar product management platforms.

Preferred Qualifications

  • Experience within the healthcare, health insurance, provider, or managed care industry.
  • Understanding of healthcare business processes, clinical workflows, member services, or healthcare operations.
  • Knowledge of HIPAA, healthcare data privacy, AI governance, and Responsible AI principles.
  • Experience with LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases, or Conversational AI.
  • Exposure to cloud AI platforms such as Azure AI, AWS AI/ML, or Google Cloud AI.
  • Experience launching enterprise AI products from POC through production implementation.
  • Product Owner or Agile certifications such as CSPO, SAFe POPM, or PSPO are preferred.