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Internship Generative Ai Product Management Jobs

Lorven Technologies

Product Manager - AI

As an AI Product Manager, you will be responsible for defining the strategy, roadmap, and execution for our suite of Generative AI agentic solutions. Your mission is to reduce the risk and cost ...

Arcadia

Principal Product Manager, AI Product

Concord, NC · Remote

$180K - $220K/yr

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 ...

Volvo Group

AI Product Manager

Mahwah, NJ · On-site

$105K - $195K/yr

... management with responsibility for strategy, roadmap, and delivery of digital or data-driven products Strong understanding of machine learning, advanced analytics, and Generative AI including large ...

Volvo Car Corporation

AI Product Manager

Mahwah, NJ · On-site

$105K - $195K/yr

... management with responsibility for strategy, roadmap, and delivery of digital or data-driven products • Strong understanding of machine learning, advanced analytics, and Generative AI including ...

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 ...

Armada

Director of Product, AI

Bellevue, WA · On-site

$261K - $273K/yr

... generative AI. • Strong B2B Enterprise experience, and experience working with large industrial and/or public sector customers. • Experience in product management of IoT Products such as drones ...

Volvo Car USA

AI Product Manager

Mahwah, NJ · On-site

$105K - $195K/yr

... management with responsibility for strategy, roadmap, and delivery of digital or data-driven products Strong understanding of machine learning, advanced analytics, and Generative AI including large ...

GXO Logistics

Lead Product Manager

Greenwich, CT · On-site

As the AI Product Lead, you'll own the strategy, roadmap, and delivery of AI-powered products that ... generative AI, data pipelines, and model lifecycle management concepts * Experience gathering ...

GXO Logistics

Lead Product Manager

Greenwich, CT

As the AI Product Lead, you'll own the strategy, roadmap, and delivery of AI-powered products that ... generative AI, data pipelines, and model lifecycle management concepts * Experience gathering ...

eClerx

AI Product Manager

Dallas, TX · On-site

$110/hr

... Generative AI agentic solutions. Your mission is to reduce the risk and cost associated with ... You will be the central hub for the product, bringing consistent product management practices-from ...

eClerx

AI Product Manager

New York, NY · On-site

$120/hr

... Generative AI agentic solutions. Your mission is to reduce the risk and cost associated with ... You will be the central hub for the product, bringing consistent product management practices-from ...

GXO Logistics

Lead Product Manager

Greenwich, CT · On-site

As the AI Product Lead, you'll own the strategy, roadmap, and delivery of AI-powered products that ... generative AI, data pipelines, and model lifecycle management concepts * Experience gathering ...

CMIT Solutions

AI Product Manager

Austin, TX · On-site

... Management or Product Ownership experience * 2+ years of experience working with generative AI technologies and LLM-powered applications * Experience designing, deploying, or managing AI agents and ...

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Internship Generative Ai Product Management information

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

As of Aug 8, 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 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 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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $44,083 per year, or $21.2 per hour.

Product Manager - Order-to-Cash Automation & Intelligence

Inabia Solutions and Consulting, Inc.

Redmond, WA • On-site

$75 - $80/hr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

  • AI Product Manager - Order-to-Cash Automation & Intelligence
  • Location: Redmond, WA (Onsite - 5 Days per Week)
  • Employment Type: Long-Term Contract (W-2 Only)
  • Work Authorization: U.S. Citizen or Green Card Holder Only (No Sponsorship Available)
  • Compensation: $75.00 - $80.00 per hr.

Preferred Qualifications Experience supporting Amazon, Kuiper, Microsoft, Comcast, Verizon, T-Mobile, or similar high-scale organizations. Experience with:
  • OpenAI
  • Anthropic Claude
  • Amazon Bedrock
  • Azure OpenAI
  • AWS AI Services
  • Google Vertex AI
Knowledge of Fraud Operations, Billing, Tax, Revenue Assurance, or Financial Compliance. Experience building AI copilots, agents, or intelligent workflow tools. Familiarity with Jira, Confluence, SQL, Tableau, Power BI, or similar platforms. Required Qualifications 7+ years of Product Management experience. 3+ years leading AI, Machine Learning, Intelligent Automation, or Generative AI initiatives. Experience managing products supporting Order-to-Cash, eCommerce, Billing, Payments, Subscription Management, Revenue Operations, or Financial Systems. Strong experience writing:
  • Product Requirements Documents (PRDs)
  • Business Requirements Documents (BRDs)
  • User Stories
  • Acceptance Criteria
Experience working in Agile/Scrum environments. Strong understanding of business process automation and workflow optimization. Excellent communication and stakeholder management skills. Experience collaborating with Engineering, Data Science, and Business Operations teams. Stakeholder Management Partner with Finance, Tax, Compliance, Fraud Operations, Legal, Customer Experience, and Engineering leadership. Present AI product strategy, roadmap progress, risks, and business outcomes to executive stakeholders. Drive alignment across technical and business teams. AI & Intelligent Automation
Support initiatives involving: Generative AI (LLMs) AI Assistants and Copilots Agentic AI workflows Intelligent Document Processing Predictive Analytics Fraud Detection Models Conversational AI Recommendation Engines Workflow Automation Customer Service Automation Product Delivery & Execution Define product requirements, user stories, acceptance criteria, and success metrics. Partner with Engineering teams to design, build, test, and deploy AI-powered applications and tools. Collaborate with Data Science, Machine Learning, and Analytics teams to operationalize AI models. Lead Agile ceremonies and product planning activities. Manage product lifecycle from ideation through deployment and continuous improvement. Order-to-Cash Process Optimization
Drive AI capabilities across: Customer onboarding Product catalog management Pricing and promotions Order validation Fraud detection and prevention Billing and invoicing Subscription lifecycle management Tax determination and compliance Returns and refunds Revenue assurance and reconciliation Customer support automation Overview
Inabia Solutions & Consulting is seeking an experienced AI Product Manager to drive the strategy, development, and deployment of AI-powered solutions that enhance and automate critical Order-to-Cash (O2C) business processes.
This role will focus on identifying opportunities to leverage Generative AI, Machine Learning, Intelligent Automation, and Agentic AI capabilities to improve operational efficiency, customer experience, fraud detection, billing accuracy, tax compliance, order processing, and revenue lifecycle management.
The ideal candidate combines strong Product Management expertise with practical experience implementing AI-driven business solutions within large-scale eCommerce, subscription, telecommunications, financial services, or technology environments.
This is a highly visible role requiring close collaboration with Product, Engineering, Finance, Operations, Risk, Fraud, Tax, Compliance, and Customer Experience teams.
Key Responsibilities
AI Product Strategy
  • Identify high-value opportunities to apply AI and automation across the Order-to-Cash lifecycle.
  • Develop AI product roadmaps aligned with business objectives and operational efficiency goals.
  • Prioritize AI initiatives based on customer impact, risk reduction, revenue protection, and operational scalability.
  • Build business cases and success metrics for AI-powered solutions.
Order-to-Cash Process Optimization
Drive AI capabilities across:
  • Customer onboarding
  • Product catalog management
  • Pricing and promotions
  • Order validation
  • Fraud detection and prevention
  • Billing and invoicing
  • Subscription lifecycle management
  • Tax determination and compliance
  • Returns and refunds
  • Revenue assurance and reconciliation
  • Customer support automation
Product Delivery & Execution
  • Define product requirements, user stories, acceptance criteria, and success metrics.
  • Partner with Engineering teams to design, build, test, and deploy AI-powered applications and tools.
  • Collaborate with Data Science, Machine Learning, and Analytics teams to operationalize AI models.
  • Lead Agile ceremonies and product planning activities.
  • Manage product lifecycle from ideation through deployment and continuous improvement.
AI & Intelligent Automation
Support initiatives involving:
  • Generative AI (LLMs)
  • AI Assistants and Copilots
  • Agentic AI workflows
  • Intelligent Document Processing
  • Predictive Analytics
  • Fraud Detection Models
  • Conversational AI
  • Recommendation Engines
  • Workflow Automation
  • Customer Service Automation
Stakeholder Management
  • Partner with Finance, Tax, Compliance, Fraud Operations, Legal, Customer Experience, and Engineering leadership.
  • Present AI product strategy, roadmap progress, risks, and business outcomes to executive stakeholders.
  • Drive alignment across technical and business teams.
Required Qualifications
  • 7+ years of Product Management experience.
  • 3+ years leading AI, Machine Learning, Intelligent Automation, or Generative AI initiatives.
  • Experience managing products supporting Order-to-Cash, eCommerce, Billing, Payments, Subscription Management, Revenue Operations, or Financial Systems.
  • Strong experience writing:
    • Product Requirements Documents (PRDs)
    • Business Requirements Documents (BRDs)
    • User Stories
    • Acceptance Criteria
  • Experience working in Agile/Scrum environments.
  • Strong understanding of business process automation and workflow optimization.
  • Excellent communication and stakeholder management skills.
  • Experience collaborating with Engineering, Data Science, and Business Operations teams.
Preferred Qualifications
  • Experience supporting Amazon, Kuiper, Microsoft, Comcast, Verizon, T-Mobile, or similar high-scale organizations.
  • Experience with:
    • OpenAI
    • Anthropic Claude
    • Amazon Bedrock
    • Azure OpenAI
    • AWS AI Services
    • Google Vertex AI
  • Knowledge of Fraud Operations, Billing, Tax, Revenue Assurance, or Financial Compliance.
  • Experience building AI copilots, agents, or intelligent workflow tools.
  • Familiarity with Jira, Confluence, SQL, Tableau, Power BI, or similar platforms.

Apply