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Part Time Generative Ai Product Management Jobs (NOW HIRING)

NYFA

Cinematic AI Specialist

Burbank, CA · On-site +1

$55 - $75/hr

Instructors guide students through the practical and creative applications of generative AI tools, machine learning, and hybrid production workflows while helping them understand how these ...

NYFA

Cinematic AI Specialist

Burbank, CA · On-site

$55 - $75/hr

Instructors guide students through the practical and creative applications of generative AI tools, machine learning, and hybrid production workflows while helping them understand how these ...

Caterpillar

Part-time Intern - AI Developer

Peoria, IL · On-site

$21 - $37.50/hr

This role blends communications, content strategy, and generative AI enablement , giving you hands ... Ability to plan, prioritize, and manage multiple projects in a fast-paced environment * High ...

Neighborlybrands

AI Internship

Irving, TX · Hybrid

Collaborate with product, engineering, and business teams to identify AI opportunities. * Create ... Experience with Generative AI, LLMs, prompt engineering, or AI agents. * Familiarity with cloud ...

Neighborly

AI Internship

Irving, TX · On-site

Collaborate with product, engineering, and business teams to identify AI opportunities. * Create ... Experience with Generative AI, LLMs, prompt engineering, or AI agents. * Familiarity with cloud ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Mclean, VA · On-site

$55K - $126K/yr

Experience deploying generative AI systems into production environments * Experience working in the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Turning Winds

Be Seen First

IT Systems & AI Support Specialist

Boise, ID · On-site

$26 - $32/hr

Position Summary The Part-Time IT Systems & AI Support Specialist manages company system ... Research emerging generative AI tools, LLM features, and automated software integrations to improve ...

Pika

Research Intern (BS/MS/PhD)

Palo Alto, CA · On-site

Flexible part-time and full-time internship terms are available. What You'll Do * Work directly on ... Unique opportunity to make an immediate impact with Videogen and generative AI research

SWBC

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

... Generative AI and machine learning solutions. This internship will focus on building AI-powered applications and product features, contributing to MLOps workflows, and helping deploy and monitor ...

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All JobsGenerative Ai Product Management JobsPart Time Generative Ai Product Management Jobs

Part Time Generative Ai Product Management information

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$51.5K

$159.4K

$197K

How much do part time generative ai product management jobs pay per year?

As of Jul 16, 2026, the average yearly pay for part time generative ai product management in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What is a Part Time Generative AI Product Manager?

A Part Time Generative AI Product Manager is a professional who oversees the development and strategy of products that leverage generative artificial intelligence, such as text, image, or audio generators, while working on a part-time basis. They coordinate between engineering, design, marketing, and other teams to define product requirements, prioritize features, and ensure the product meets market needs. Working part-time, they often focus on key responsibilities such as product vision, roadmap planning, and stakeholder communication. This role requires both an understanding of AI technology and strong product management skills, but allows for flexible work schedules. Part time positions may be ideal for those balancing other commitments or seeking specialized project-based work.

What is the difference between Part Time Generative Ai Product Management vs Part Time Data Scientist?

AspectPart Time Generative Ai Product ManagementPart Time Data Scientist
Required CredentialsBackground in AI, product management, or related fields; certifications in AI or product management beneficialDegree in Data Science, Statistics, or related fields; certifications in data analysis or machine learning advantageous
Work EnvironmentCollaborative with product teams, AI developers, and stakeholders; focus on product lifecycleData analysis, model development, and interpretation; often in research or analytics teams
Employer & Industry UsageTech companies, startups, AI-focused firmsTech companies, finance, healthcare, research institutions

While both roles involve AI and data, Part Time Generative Ai Product Management focuses on overseeing AI product development and strategy, whereas Part Time Data Scientist emphasizes data analysis, modeling, and insights. The roles complement each other but differ in responsibilities and skill emphasis.

What are the key skills and qualifications needed to thrive as a Part Time Generative AI Product Manager, and why are they important?

To thrive as a Part Time Generative AI Product Manager, you need a strong understanding of AI/ML concepts, product lifecycle management, and a background in computer science, engineering, or a related field. Familiarity with tools like JIRA, Figma, analytics platforms, and AI frameworks such as TensorFlow or PyTorch, as well as certifications like Agile or Scrum, is beneficial. Excellent communication, stakeholder management, and strategic thinking are standout soft skills in this role. These skills are crucial for effectively guiding AI product development, aligning technical teams, and delivering innovative solutions within limited working hours.

What are some common challenges faced by part-time generative AI product managers, and how can they navigate these effectively?

Part-time generative AI product managers often face the challenge of balancing time constraints with the need to stay up-to-date on rapidly evolving AI technologies. Effective communication and prioritization are crucial, as these roles typically require close collaboration with cross-functional teams, including engineers and data scientists, while managing a limited number of weekly hours. Adopting agile workflows and leveraging project management tools can help streamline tasks and maintain project momentum. Regular check-ins and clear documentation ensure everyone is aligned, even when team members work asynchronously.
More about Part Time Generative Ai Product Management jobs
What are the most commonly searched types of Generative Ai Product Management jobs? The most popular types of Generative Ai Product Management jobs are:
What job categories do people searching Part Time Generative Ai Product Management jobs look for? The top searched job categories for Part Time Generative Ai Product Management jobs are:
Part Time Generative Ai Product Management jobs near you
Infographic showing various Part Time 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 $159,405 per year, or $76.6 per hour.
Adjunct Associate Faculty, Applied Generative AI (On-Campus, Fall '26)

Adjunct Associate Faculty, Applied Generative AI (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$2.0K - $3.0K/wk

Part-time

Re-posted 19 days ago

Job description

Company Description
Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.
Job Description
Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Applied Generative AI. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.
The Applied Generative AI course provides students with a comprehensive introduction to a branch of machine learning called generative modeling, focusing on the underlying concepts, theoretical techniques, and practical applications. Students will learn to use, fine-tune, and programmatically interface with high-level APIs and open-source foundational models, allowing them to leverage state-of-the-art tools in Generative AI. Additionally, the course delves into the theory and practice of low-level implementations, empowering students to train their own models on their own data and understand these models from first principles. The course covers various types of generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers with their applications to text, image, audio, and video generation.
Responsibilities
  • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.
  • Evaluate, grade student work and assessments as requested by the course Lecturer.
  • Monitor and address student concerns and inquiries.

Qualifications
Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting.
Requirements
  • Graduate degree in an area related to Machine Learning, Computer Science, Applied Mathematics, or related field.
  • 3+ years of related applied professional experience.

Preferred Skills & Experience
  • Programming experience in Python and experience with major deep learning frameworks such as PyTorch or TensorFlow.
  • Knowledge of deep learning architectures, such as CNNs, VAEs, GANs, and RNNs.
  • Experience with deploying code on cloud platforms such as AWS, GCP, or Azure.
  • Knowledge of Mathematics and Probability concepts used in machine learning, including
  • Optimization, Gradient Descent, Conditional Probability, Bayes Theorem, and Normal Distribution.

Additional Information
Salary range: $2,000 - $3,000 per semester long course
Please submit a resume inclusive of university teaching experience.
All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity Employer / Disability / Veteran

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