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Entry Level Generative Ai Product Management Jobs

Google

Product Manager II, Generative AI, Kaggle

Seattle, WA · On-site

$156K - $229K/yr

Bachelor's degree or equivalent practical experience. * 5 years of experience in product management ... Experience with Generative AI or Large Language Models. Preferred qualifications: * Master's degree ...

Nasscomm

Product Manager

Charlotte, NC · On-site

Advanced understanding of Product Management and Design Thinking principles and ability to expand these capabilities across teams * Experience with generative AI (LLMs), prompt and workflow design ...

QTech US Inc

Generative AI Engineer

Charlotte, NC · On-site

Generative AI Engineer Location: Charlotte, NC, Columbia, SC, Atlanta, GA, Richmond, VA ... Collaborate with Data Engineers, Data Scientists, Product Owners, and Solution Architects. Deploy ...

Uncountable

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 ...

Arcade

Product Engineer, AI

San Francisco, CA · On-site

Arcade is building the world's first AI physical product creation platform, enabling users to design, purchase, and sell custom products using generative AI. The Product Engineer, AI will be ...

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Entry Level Generative Ai Product Management information

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$36.5K

$86.9K

$149.5K

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

As of Jul 15, 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 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 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, and why are they important?

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 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.

More about Entry Level Generative Ai Product Management jobs
What cities are hiring for Entry Level Generative Ai Product Management jobs? Cities with the most Entry Level Generative Ai Product Management job openings:
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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 July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $86,949 per year, or $41.8 per hour.
Generative AI Researcher

Generative AI Researcher

Tata Consultancy Services

Warren, MI • On-site

Full-time

Re-posted 24 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

159th of 210 rated it services

Job description

Job Summary:

We are seeking a highly skilled and creative Entry Level - Generative AI Engineer to apply state-of-the-art generative models to solve complex challenges in automotive engineering. This role focuses on creating intelligent agents that leverage generative capabilities for reasoning, planning, and executing complex tasks autonomously. The ideal candidate will bridge the gap between generative AI's creative potential and agentic AI's autonomous action, developing systems that can understand, reason, and act in dynamic environments.

Key Responsibilities

Integrated AI System Development:

Design and build AI agents that utilize large language models for reasoning and decision-making

Develop systems where generative AI components enable sophisticated planning and problem-solving

Create autonomous agents capable of using tools, APIs, and external systems through generative interfaces

Implement multi-agent systems where generative AI facilitates communication and collaboration

Generative AI Capabilities:

Fine-tune and optimize large language models for specific agentic tasks

Develop prompt engineering strategies for complex reasoning and chain-of-thought processes

Implement RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context

Create generative models for code generation, content creation, and strategic planning within agent frameworks

Agent Architecture & Autonomy:

Build reflective agents that can critique and improve their own reasoning processes

Design goal-oriented systems that use generative AI for planning and adaptation

Implement memory architectures that allow agents to learn from experience and maintain context

Develop safety mechanisms and oversight for autonomous generative agents

Multi-Modal Agent Systems:

Integrate vision, language, and action capabilities within agent frameworks

Develop agents that can process and generate across multiple modalities (text, image, audio)

Create embodied agents that interact with digital and physical environments

Research & Innovation: Stay current with the latest academic research and open-source advancements in generative AI. Prototype new ideas and conduct experiments to validate their feasibility and impact.

Education: Ph.D in Computer Science, Electrical Engineering, Mechanical Engineering or related streams.

Technical Proficiency:

Experience with generative AI (LLMs, diffusion models, generative architectures)

Experience with agentic AI systems, reinforcement learning, or autonomous systems

Strong programming skills in Python and experience with AI/ML frameworks (PyTorch, TensorFlow)

Experience with LangChain, AutoGPT, Microsoft Autogen, or similar agent frameworks

Proficiency with transformer architectures and fine-tuning techniques

Deep understanding of prompt engineering, reasoning techniques, and LLM capabilities

Experience with RAG systems, vector databases, and knowledge retrieval

Knowledge of reinforcement learning, planning algorithms, and decision-making systems

Familiarity with multi-agent systems and emergent behavior

Ph.D

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Tata Consultancy Services logo

About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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