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Part Time Generative Ai Product Management Jobs (NOW HIRING)

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 ...

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 ...

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 ...

... managing complex technology solutions. As part of our strategic transformation, Black Box is ... production-ready AI solutions. * Continuously learn and apply best practices in Generative AI, RAG ...

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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 Jul 15, 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:
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.
Generative AI Developer

Generative AI Developer

Stantec

Phoenix, AZ • On-site

$104K - $152K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Stantec rating

8.5

Company rating: 8.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

80th of 369 rated engineering


Job description

At Stantec, we have some of the world's leading professionals passionate about enabling our business to be its best. Our business teams include finance, procurement, human resources, information technology, marketing, corporate development, HSSE, real estate, legal, and practice services. We bring diverse backgrounds, skills, and expertise and create a caring culture where everyone can thrive. Through teamwork and collaboration, we're building a stronger, more resilient Stantec every day.
Your Opportunity
We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence (DCoE). This role will support a growing portfolio of AI initiatives across the organization, focusing on building scalable, secure, and well-governed solutions, including LLM-powered agents, multi-agent systems, retrieval-augmented generation (RAG), and intelligent automation platforms.
You will work closely with data scientists, engineers, enterprise architects, and business stakeholders to define architectural patterns, establish technical standards, and guide the implementation of advanced GenAI capabilities. This position plays a critical role in shaping enterprise AI architecture, ensuring solutions are reliable, compliant, and aligned with Stantec's governance, security, and responsible AI principles.
Your Key Responsibilities
  • Design, build, and deploy end-to-end GenAI solutions and agentic solutions, including model lifecycle management, evaluation, deployment, and monitoring.
  • Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI services into existing and new solution pipelines.
  • Review and advise on infrastructure approaches, including containerization, orchestration, and infrastructure-as-code to ensure scalability, security, and operational readiness.
  • Collaborate with product owners, engineering, security, and data teams to design solutions that meet functional and non-functional requirements (performance, reliability, compliance, and cost).
  • Establish and enforce governance for model usage, prompt and tool management, safety controls, data handling, and lifecycle management.
  • Design integrations with enterprise data platforms, knowledge sources, and APIs, ensuring appropriate access controls and auditability.
  • Document architectural patterns, methodologies, and lessons learned.
  • Evaluate emerging GenAI technologies and recommend adoption strategies based on business value and risk.
  • Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi-agent systems.
  • Design, build, and deploy agentic solutions using Microsoft Copilot Studio, including configuration of topics, actions, integrations, and orchestration logic.

Qualifications
  • Strong background in designing and delivering modern cloud solutions, APIs, and data/AI platforms.
  • Demonstrated knowledge and hands-on experience in building custom AI agents, including development using platforms such as Azure AI Foundry and Microsoft Copilot Studio.
  • Familiarity with security, privacy, and governance practices for enterprise AI solutions.
  • Ability to communicate complex concepts clearly to technical and non-technical audiences, influencing stakeholders through architecture guidance.
  • Experience partnering across disciplines in agile delivery environments.
  • Understanding application deployment, hosting, and scaling within Azure.

Education and Experience
  • Master's degree or higher degree in Computer Science, Engineering, or related field (or equivalent experience).
  • 5+ years of professional experience in AI/ML solution delivery, with recent hands-on GenAI solution experience.
  • Experience deploying AI/GenAI solutions in Azure environments, including familiarity with Azure AI Foundry, would be highly valued.
  • Experience developing AI agents in Microsoft Copilot Studio is highly preferred.

Pay Range:
• Locations in CO, HI, IL, MD & Various CA, NJ Areas-$104,800.00 - $152,000.00 Annually
Pay Transparency: In compliance with pay transparency laws, pay ranges are provided for positions in locations where required. Please note, the final agreed upon compensation is based on individual education, qualifications, experience, and work location. At Stantec certain roles are bonus eligible. Actual compensation for part-time roles will be pro-rated based on the agreed number of working hours per week.
Benefits Summary: Regular full-time and part-time employees (working at least 20 hours per week) have access to medical, dental, and vision plans, a wellness program, health saving accounts, flexible spending accounts, 401(k) plan, employee stock purchase program, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage and paid family leave. Regular full-time and part-time employees will receive ten paid holidays in each calendar year. In addition, employees will be eligible to accrue vacation between 10 and 20 days per year and eligible for paid sick leave (and if more generous, in accordance with state and local law).
Temporary/casual employees have access to 401(k) plans, employee stock purchase program, and paid leave, in accordance with state and local law.
The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements
Primary Location: United States | TX | Austin
Other Locations: United States | AZ | Phoenix
Organization: BC-2259 Innovation-US Digital COE
Employee Status: Regular
Business Justification: Replacement
Travel: No
Schedule: Full time
Job Posting: 15/04/2026 06:04:33
Req ID: 1004649
#additional
Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. At Stantec we are committed to ensuring our recruitment process is accessible to all. If you require reasonable adjustments to be made during the recruitment process then please inform a member of our Talent Acquisition team.

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