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Ai Product Management Intern Jobs (NOW HIRING)

Currently enrolled and pursuing a degree in engineering or project management PHYSICAL REQUIREMENTS ... product line that revolutionizes data center delivery. With our tremendous market potential ...

AI Product Manager Location: Bellevue, WA (Onsite) AI Product Manager to lead the strategy, roadmap ... User Experience & Stakeholder Management * Conduct user research, customer interviews, and journey ...

Director, AI Product Management

Whippany, NJ ยท On-site +1

$235K - $246K/yr

The Director of AI Product Management will play a pivotal role within our product organization, leading AI-enabled product development and overseeing the management and execution of client onboarding ...

Director, AI Product Management

Whippany, NJ ยท On-site

$235K - $246K/yr

The Director of AI Product Management will play a pivotal role within our product organization, leading AI-enabled product development and overseeing the management and execution of client onboarding ...

AI Product Manager

Northbrook, IL ยท On-site

$90K - $115K/yr

Develop governance standards, documentation, workflows, and best practices for AI product management. * Serve as the organization's AI product champion, driving adoption, education, and change ...

AI Product Manager

Northbrook, IL ยท On-site

$90K - $115K/yr

Develop governance standards, documentation, workflows, and best practices for AI product management. * Serve as the organization's AI product champion, driving adoption, education, and change ...

AI Product Manager

Northbrook, IL ยท On-site

$90K - $115K/yr

Develop governance standards, documentation, workflows, and best practices for AI product management. * Serve as the organization's AI product champion, driving adoption, education, and change ...

Required Skills & Experience * 4+ years of Product Management experience, with at least 2+ years in AI/ML or Data-driven products . * Strong understanding of machine learning lifecycle (model ...

Enterprise product management * Responsible AI governance * User experience and adoption * Organizational transformation What Your Impact Will Be AI Product Strategy & Vision * Help define and ...

Showing results 41-60

Ai Product Management Intern information

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How much do ai product management intern jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai product management intern 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 does an AI product management intern do?

An AI Product Management Intern assists product managers in developing and improving AI-driven products or features. Their responsibilities usually include conducting market research, analyzing user data, helping define product requirements, collaborating with engineering and design teams, and tracking project progress. Interns may also help test and validate AI models, gather user feedback, and participate in brainstorming sessions. This role provides hands-on experience at the intersection of technology, business, and user experience, specifically focused on artificial intelligence applications.

What types of projects and responsibilities can an AI product management intern expect during their internship?

As an AI Product Management Intern, you can expect to work on a variety of projects that may include conducting user research, defining product requirements, analyzing user data, and collaborating with engineering and design teams to develop AI-driven features. Interns often participate in roadmap planning sessions, help prioritize product backlogs, and assist in tracking project progress. You'll gain hands-on experience with cross-functional teamwork and learn how to balance technical feasibility with user needs, making this a valuable opportunity to understand the full lifecycle of AI product development.

What are the key skills and qualifications needed to thrive as an AI product management intern, and why are they important?

To thrive as an AI Product Management Intern, you need a basic understanding of product lifecycle management, data analysis, and familiarity with AI or machine learning concepts, typically supported by coursework in computer science, engineering, or a related field. Experience with tools such as Jira, Tableau, Python, or relevant AI frameworks, as well as knowledge of Agile methodologies, is often expected. Strong communication, problem-solving, and collaboration skills help you effectively engage with cross-functional teams and stakeholders. These skills and qualities are essential for managing AI-driven product features and ensuring successful project outcomes in a rapidly evolving tech environment.

What is the difference between Ai Product Management Intern vs Ai Product Manager?

AspectAi Product Management InternAi Product Manager
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or Master's in Business, Engineering, or related field; experience preferred
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time role, strategic decision-making, leadership responsibilities
Industry UsageTech companies, startups, AI-focused organizationsTech companies, AI divisions, product teams
Common Search/ComparisonYesNo

The main difference between an Ai Product Management Intern and an Ai Product Manager lies in experience, responsibilities, and career level. Interns are typically students or recent graduates gaining initial exposure, while Ai Product Managers are experienced professionals leading product strategy and development. Interns support teams with guidance, whereas Managers make strategic decisions and oversee projects.

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Infographic showing various Ai Product Management Intern 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 Manager - Product Management

Diamondbackenergy

Midland, TX โ€ข On-site

Full-time

Posted 7 days ago


Job description

CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only.

The AI Manager - Product Management leads Diamondback Energy's Artificial Intelligence (AI) product management function, translating business priorities and opportunities into well-defined AI products that deliver measurable business outcomes. This role leads and develops AI Product Owners, establishes consistent product discovery and management practices, and ensures products are grounded in clearly defined business problems, user needs, success measures, and value hypotheses. Serving as a primary connection between business stakeholders and AI delivery teams, the manager drives disciplined discovery, rapid validation, product definition, business acceptance, adoption, and continuous improvement across the AI portfolio.


Job Responsibilities:

Include but are not limited to

  • Lead, coach, and develop AI Product Owners and product professionals; set clear expectations for product judgment, discovery rigor, product definition, stakeholder engagement, and outcome accountability, and hold consistent standards for product quality and product management discipline across the team.
  • Partner with business leaders, the AI Portfolio Lead, and AI leadership to translate prioritized enterprise opportunities into product strategies, roadmaps, requirements, and prioritized delivery plans.
  • Ensure every AI product has a clearly defined business problem, target users and workflows, success measures, requirements, acceptance criteria, value hypothesis, and accountable business sponsor before progressing through significant investment, working with business sponsors, the AI Value & Economics Lead, and the AI Portfolio Lead to confirm the supporting evidence.
  • Establish and scale AI-native validation practices across the product lifecycle, from rapid prototyping, workflow simulation, data exploration, user testing, and vendor evaluation during discovery, through business validation and user acceptance testing against defined user needs, acceptance criteria, and expected business outcomes.
  • Identify and manage product-level dependencies, delivery risks, and barriers to value realization across business and technology teams.
  • Drive sustained adoption of AI products by partnering with business leaders, change management, training, and enablement teams, and hold Product Owners accountable for post-launch adoption, product performance, and continuous improvement using user feedback, usage data, business outcomes, and value realization insights.
  • Communicate portfolio performance, risks, investment needs, and realized value to senior leadership.
  • Establish and continuously improve Diamondback's AI product management standards, methods, tools, and templates while preserving flexibility across products and business domains and build product management capability across the organization so business stakeholders understand their role in problem definition, product decisions, validation, adoption, and value realization.

Required Qualifications:

  • Bachelor's degree in Business, Engineering, Management Information Systems, or a related field.
  • 10+ years of experience in product management, product leadership, digital delivery, or a related function within a technology-intensive, enterprise environment.
  • 5+ years of people management experience, with a demonstrated ability to develop high-performing teams.
  • Experience leading an enterprise product portfolio with multiple concurrent products or initiatives.
  • Experience developing product strategies, roadmaps, business cases, and prioritization frameworks.
  • Demonstrated ability to balance strategic direction, delivery execution, stakeholder needs, and governance requirements.
  • Experience establishing and managing KPIs to measure product and portfolio outcomes.

Preferred Qualifications:

  • Experience in oil and gas, energy, or another asset-intensive industrial sector.
  • Experience deploying generative AI, machine learning, or advanced analytics products in production environments.
  • Working knowledge of AI lifecycle management, responsible AI practices, and enterprise product operating models.
  • Experience establishing or scaling a product management function, portfolio governance model, or AI product capability.
  • Experience applying AI-enabled tools and rapid prototyping techniques during product discovery and solution validation.

Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more aboutE-Verify.