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Entry Level Generative Ai Product Management Jobs

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Platform Engineer - Generative AI

New York, NY · On-site

$120K - $160K/yr

... engineer, product manager, and whatever else is needed to create an amazing product. This is a ... Strong interest in Generative AI * Solid computer science and software engineering fundamentals ...

FNS, INC

IT / AI Product Planner

Torrance, CA · On-site

The Process Innovation Division is seeking an internal team member for the role of IT / AI Product ... Familiarity with Generative AI tools and prompt usage. * Basic understanding of APIs and data flows.

New

Prophecy Technologies

Generative AI Engineer

Schaumburg, IL · On-site

$95K - $131K/yr

The ideal candidate will possess a strong background in both Generative AI and traditional Machine ... production. Qualifications: * Bachelor's degree in Computer Science, Engineering, or a related ...

MDAEdge

Generative AI Engineer

Austin, TX · On-site

... management and model deployment. • Ensure scalability and performance of generative AI applications. Qualifications : Required : • Designed and developed scalable generative AI platforms for ...

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Entry Level Generative Ai Product Management information

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$86.9K

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How much do entry level generative ai product management jobs pay per year?

As of Aug 28, 2026, the average yearly pay for entry level generative ai product management in the United States is $86,949.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What is an entry level generative AI product manager?

An Entry Level Generative AI Product Manager is a professional who helps guide the development and launch of products that use generative artificial intelligence technologies, such as large language models or image generators. At this entry level, they typically assist senior product managers with market research, requirements gathering, and coordinating between engineering, design, and business teams. They also help track project progress, collect user feedback, and analyze product performance data. This role is ideal for those interested in both AI technology and bringing innovative products to market, even if they are just starting their careers.

What are the key skills and qualifications needed to thrive as an entry level generative AI product manager?

To thrive as an Entry Level Generative AI Product Manager, you need a foundational understanding of AI concepts, product lifecycle management, and a relevant degree in business, computer science, or a related field. Familiarity with tools like Jira, Figma, and collaboration platforms, as well as basic experience with AI frameworks or APIs, is often expected. Strong communication, analytical thinking, and collaboration skills help you bridge the gap between technical teams and stakeholders. These skills are crucial for successfully driving product development, ensuring user alignment, and delivering innovative AI solutions.

What are some common challenges faced by entry level generative AI product managers, and how can they overcome them?

Entry-level generative AI product managers often encounter challenges such as translating complex AI concepts into clear product requirements, ensuring ethical and responsible AI usage, and collaborating effectively with cross-functional teams like data science and engineering. To overcome these, it's helpful to build a strong foundation in AI fundamentals, actively seek mentorship from experienced colleagues, and develop excellent communication skills to bridge technical and non-technical stakeholders. Staying updated on industry trends and ethical guidelines also helps you make informed decisions and contribute positively to product development.

What is the difference between Entry Level Generative Ai Product Management vs Entry Level Data Analyst?

AspectEntry Level Generative Ai Product ManagementEntry Level Data Analyst
Required SkillsBasic understanding of AI, product lifecycle, communication skillsData analysis, Excel, SQL, statistical knowledge
Work EnvironmentCollaborative teams, product-focused projects, tech companiesData-driven tasks, reporting, business insights
Common CertificationsAI fundamentals, product management coursesData analysis certifications, SQL, Excel courses
Industry UsageTech, AI startups, product companiesFinance, marketing, healthcare, retail

Entry Level Generative Ai Product Management involves understanding AI technologies and managing AI-driven products, focusing on product development and user needs. In contrast, Entry Level Data Analysts primarily analyze data sets to generate insights, supporting decision-making. Both roles require analytical skills but differ in focus: product management emphasizes AI understanding and project coordination, while data analysis centers on data interpretation and reporting.

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Entry Level Generative Ai Product Management jobs near you
Infographic showing various Entry Level Generative Ai Product Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $86,949 per year, or $41.8 per hour.

AI Product Manager - W2

Miracle Software Systems, Inc.

Dearborn, MI • On-site

Other

Posted 21 days ago

Job description

We Miracle Software Systems is looking for the AI Product Manager, Customer Experience- W2

Role: AI Product Manager
Location: Dearborn, Michigan
Duration: 12+Months
 
Key Responsibilities
Define the product vision, roadmap, and priorities for AI models, agents, and intelligence
capabilities.
Determine whether business problems require an AI agent, RAG solution, machine learning model,
or another technical approach.
Partner closely with AI engineers, data scientists, software engineers, and platform teams.
Define evaluation frameworks for model accuracy, response quality, reliability, relevance, safety, and
business impact.
Review AI-generated responses and identify opportunities to improve model performance and user
outcomes.
Translate business and customer requirements into technical AI product requirements.
Make informed product and technical decisions in areas where requirements and solutions are not
fully defined.
Own execution planning, prioritization, stakeholder communication, risks, and dependencies.
Independently identify opportunities and drive initiatives without waiting for assigned tasks.
Preferred Qualifications
Experience as a technical product manager, AI product manager, machine learning product manager,
or similar role.
Strong understanding of generative AI, large language models, AI agents, RAG, embeddings, model
evaluation, and machine learning concepts.
Experience defining success metrics for AI models and AI-enabled products.
Ability to communicate effectively with technical and non-technical stakeholders.
Automotive industry or automotive workflow experience is preferred.
Strong product management and project execution capabilities.
Comfortable working in an ambiguous and rapidly evolving AI environment.

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