Resume Skills and Keywords for Generative AI Product Manager

A Generative AI Product Manager defines, builds, and optimises AI solutions that leverage large language models (LLMs), generative design, and multimodal AI capabilities. They are engaged throughout the entire product lifecycle—from market research and strategic roadmap development to model selection, fine-tuning, deployment, and continuous improvement—while ensuring that generative systems meet business objectives and user needs. By leveraging expertise in machine learning, natural language processing, computer vision, and prompt engineering, they translate complex requirements into innovative, generative experiences that enhance creativity, productivity, and decision-making. Working closely with cross-functional teams, including data scientists, ML engineers, UX designers, and domain experts, Generative AI Product Managers ensure products deliver high-quality, safe, and context-aware outputs while maintaining ethical AI practices and compliance with industry standards.

Skills required for a Generative AI Product Manager role:

  • Language Large Models (LLMs)
  • Generative Adversarial Networks (GANs)
  • Natural Language Processing (NLP)
  • Python
  • AI frameworks
  • Model Evaluation Metrics
  • Data Analysis & Experimentation
  • Product Lifecycle Management
  • Roadmap Planning
  • Strong Communication

What recruiters look for in a Generative AI Product Manager's resume: 

  • Hands-on experience with generative AI frameworks and tools such as OpenAI, Anthropic, Hugging Face Transformers, LangChain, or similar platforms.
  • Proficiency in product management tools (e.g., JIRA, Trello, Aha!, Confluence) for backlog management, roadmap tracking, and cross-team collaboration.
  • Knowledge of prompt engineering, fine-tuning, and model evaluation techniques to ensure high-quality, context-aware outputs.
  • Experience working with cross-functional teams of data scientists, ML engineers, and designers to develop scalable generative AI solutions.
  • Familiarity with cloud and MLOps platforms (AWS, Azure, GCP, Kubernetes, MLflow) for model deployment, monitoring, and lifecycle management.

What can make your Generative AI Product Manager resume stand out:

A strong summary that demonstrates your skills, experience and background in AI product management

  • A Generative AI Product Manager with a strong background in AI/ML technologies, product lifecycle management, and cross-functional team leadership. Adept at translating cutting-edge generative AI capabilities—such as large language models, image synthesis, and multimodal learning—into scalable, user-centric products. 

Targeted job description 

  • Lead the design, development, and optimization of generative AI solutions leveraging large language models (LLMs), multimodal AI, and advanced ML frameworks to power content creation, personalization, and automation.
  • Drive end-to-end product lifecycle, from market research and strategic roadmap definition to model selection, fine-tuning, deployment, and continuous improvement.
  • Utilize industry-standard tools and platforms (OpenAI, Anthropic, Hugging Face, LangChain, Vertex AI, or Azure OpenAI) for model integration, prompt engineering, and generative application development.
  • Collaborate with cross-functional teams including data scientists, ML engineers, designers, domain experts, and business stakeholders to ensure generative AI products align with user needs and deliver measurable value.
  • Define and monitor key performance metrics such as accuracy, relevance, diversity, latency, and user satisfaction to evaluate and enhance generative model outputs.

Related academic background 

  • B.Tech in Computer Science at Amity University, Noida | 2020



RELATED CATEGORIES

  • BTech/Mtech
  • Engineering


THOMAS ALFRED

Generative AI Product Manager 

+91-XXXXXXXXXX | support@resumod.co |Gurgaon, India

SUMMARY 

A Generative AI Product Manager with a strong background in AI/ML technologies, product lifecycle management, and cross-functional team leadership. Adept at translating cutting-edge generative AI capabilities—such as large language models, image synthesis, and multimodal learning—into scalable, user-centric products. 

EMPLOYMENT HISTORY

Generative AI Product Manager at BigStep Technologies Pvt. Ltd. from 2023 - Present, Gurgaon

  • Defining and executing the product vision, strategy, and roadmap for generative AI products across text, image, audio, or video domains.
  • Translating complex AI concepts (e.g., LLMs, diffusion models, GANs) into intuitive, impactful product features that meet user and business needs.
  • Managing the model development lifecycle—from data sourcing and training to evaluation, deployment, and monitoring—ensuring ethical and responsible AI practices.
  • Leveraging experimentation, A/B testing, and user feedback to refine product features and optimising performance.
  • Collaborating with legal, compliance, and data governance teams to ensure AI products meet privacy, security, and regulatory standards.

Associate Manager – Generative AI at InfoEdge from 2020 - 2023, Gurgaon

  • Assisted in defining and prioritising product requirements for generative AI capabilities.
  • Collaborated with engineers, data scientists, and designers to build and iterate on AI-driven features.
  • Conducted user research, competitive analysis, and gathered feedback to inform product decisions.
  • Monitored model performance, user metrics, and feedback to ensure continuous improvement.
  • Supported ethical AI practices, including fairness, transparency, and user trust.

PROJECTS

Chatbot with Vector Memory | 2024

Highlight:

  • Built a context-aware chatbot that remembers prior messages using vector databases.

 Generative Code Assistant | 2023

Highlight:

  • Acted as a personal AI coder to help students solve basic tasks.

EDUCATION

  • B.Tech in Computer Science at Amity University, Noida | 2020

SKILLS

Language Large Models (LLMs) | Generative Adversarial Networks (GANs) | Natural Language Processing (NLP) | Python | AI frameworks | Model Evaluation Metrics |  Data Analysis & Experimentation | Product Lifecycle Management | Roadmap Planning | Strong Communication

LANGUAGES

English

Hindi