ZipRecruiter

Log In

2

Part Time Generative Ai Product Management Jobs (NOW HIRING)

Stantec

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

... management, evaluation, deployment, and monitoring. * Partner with ML/AI leads and engineering ... Collaborate with product owners, engineering, security, and data teams to design solutions that ...

Stantec

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

... management, evaluation, deployment, and monitoring. * Partner with ML/AI leads and engineering ... Collaborate with product owners, engineering, security, and data teams to design solutions that ...

Stantec

Generative AI Developer

Denver, CO · On-site

$104K - $152K/yr

... management, evaluation, deployment, and monitoring. * Partner with ML/AI leads and engineering ... Collaborate with product owners, engineering, security, and data teams to design solutions that ...

next page

Showing results 1-20

All JobsPart Time Generative Ai Product Management Jobs

Part Time Generative Ai Product Management information

See salary details

$51.5K

$159.4K

$197K

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

As of Jun 17, 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.

How much do AI product managers get paid?

AI product managers typically earn between $100,000 and $160,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in generative AI can command higher salaries, often exceeding $180,000. Compensation may also include bonuses, stock options, and benefits.

Which 3 jobs will survive AI?

Part Time Generative AI Product Management roles are likely to persist because they require strategic oversight, creativity, and understanding of user needs that AI cannot fully replicate. Jobs involving complex problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled trades, are also expected to remain essential despite AI advancements.

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 is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI product managers or executives, which offer compensation packages including salary, bonuses, and stock options. These positions often require extensive experience in AI development, product management, and leadership, along with advanced technical skills and industry knowledge.

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.

Are AI product managers in demand?

AI product managers are in high demand due to the rapid growth of artificial intelligence technologies across industries. Companies seek professionals with skills in AI, machine learning, and product development to lead AI initiatives and manage AI-driven products. This demand is expected to continue as AI becomes integral to business strategies and innovation.
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 June 2026, with employment types broken down into 3% As Needed, 37% Full Time, 52% Part Time, 3% Temporary, and 5% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Generative AI Engineer (Instructor)

Sizanid Staffing

New York, NY • On-site

Part-time

Posted just now

Job description

Position: Generative AI Engineer (Instructor)

About Our Client:

Our client, a forward-thinking technology organization, is seeking an experienced Generative AI Engineer to join their team as an Instructor. This role involves not only developing innovative generative AI models and solutions but also training and mentoring teams or clients on the implementation and best practices of generative AI technologies.

Key Responsibilities:
  • Design, develop, and implement generative AI models and applications using state-of-the-art techniques.
  • Deliver training sessions, workshops, and tutorials on generative AI concepts, tools, and best practices to engineers, data scientists, and other stakeholders.
  • Create comprehensive instructional materials, including manuals, slide decks, and hands-on exercises.
  • Stay current with latest research and advancements in generative AI, NLP, and related technologies.
  • Collaborate with cross-functional teams to integrate generative AI solutions into product pipelines.
  • Provide technical guidance and support to teams adopting generative AI technology.
  • Evaluate and optimize existing AI models for performance, scalability, and robustness.
  • Assist in curriculum development for internal training programs related to AI and machine learning.

Requirements

Qualifications & Skills:

  • Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
  • Bachelors with more 6-8 years experience
  • Proven experience in developing generative AI models using frameworks such as TensorFlow, PyTorch, or similar.
  • Strong knowledge of NLP techniques, transformer architectures (e.g., GPT, BERT), and generative modeling.
  • Experience in instructional design and delivering technical training or workshops.
  • Proficiency in programming languages like Python and relevant AI/ML libraries.
  • Excellent communication and presentation skills, with ability to convey complex technical concepts to diverse audiences.
  • Familiarity with cloud AI platforms (AWS SageMaker, Google AI Platform, Azure ML) is a plus.

Preferred Qualifications:

  • Experience with prompt engineering and fine-tuning large language models.
  • Background in developing AI products or solutions in a commercial environment.
  • Strong teamwork and mentoring abilities.
  • Active contributor to AI research or open-source projects.

Benefits

Part time. Pay depends on experience.

Apply