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Generative Ai Program Manager Jobs (NOW HIRING)

Australia-Employment

AI Program Manager

The Woodlands, TX · On-site

$140K - $160K/yr

AI Program Manager $140000 - $160000 per year | The Woodlands, TX | On-site | Permanent Own AI-powered platform - Logistics/Route Optimization A bit about us: As a leader in our industry, we serve 40 ...

1 point system

AI Program Manager

Kansas City, MO · On-site

Proven experience managing AI, data, or advanced analytics programs in an agile environment * Highly proactive , self-directed, and comfortable navigating ambiguity * Strong executive presence with ...

Booz Allen Hamilton

AI Program Manager

Norfolk, VA · On-site

$62K - $141K/yr

AI Program Manager The Opportunity: Bring in-depth understanding and expertise to one or more aspects of service or joint missions, processes, and culture. Apply specific functional knowledge ...

Booz Allen Hamilton

AI Program Manager

San Diego, CA · On-site

$62K - $141K/yr

AI Program Manager The Opportunity: Bring in-depth understanding and expertise to one or more aspects of service or joint missions, processes, and culture. Apply specific functional knowledge ...

Booz Allen Hamilton

AI Program Manager

Mclean, VA · On-site

$62K - $141K/yr

AI Program Manager The Opportunity: Bring in-depth understanding and expertise to one or more aspects of service or joint missions, processes, and culture. Apply specific functional knowledge ...

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Generative Ai Program Manager information

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$38.5K

$107.5K

$157K

How much do generative ai program manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for generative ai program manager in the United States is $107,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What does a generative AI program manager do?

A Generative AI Program Manager oversees the planning, development, and implementation of projects that use AI models capable of generating content, such as text, images, or code. They coordinate cross-functional teams, manage project timelines and resources, and ensure that generative AI solutions align with business objectives and compliance standards. This role also involves stakeholder communication, risk management, and monitoring the ethical use of AI. Generative AI Program Managers often work closely with data scientists, engineers, and product managers to deliver innovative AI-driven products and services.

What are the key skills and qualifications needed to thrive as a generative AI program manager?

To thrive as a Generative AI Program Manager, you need expertise in project management, a strong understanding of AI and machine learning concepts, and often a relevant degree in computer science or engineering. Familiarity with cloud platforms, AI development frameworks, and tools like Jira or Asana, as well as certifications such as PMP or Agile Scrum Master, are commonly required. Exceptional communication, strategic thinking, and leadership skills help you coordinate cross-functional teams and manage stakeholder expectations. These abilities ensure successful delivery of AI initiatives, alignment with business goals, and effective risk mitigation in a rapidly evolving field.

How do generative AI program managers typically collaborate with cross-functional teams during project development?

Generative AI Program Managers play a central role in coordinating efforts between data scientists, software engineers, product managers, and stakeholders to ensure project milestones are met. They facilitate communication to align technical requirements with business objectives, manage timelines, and address roadblocks promptly. Regular meetings, progress tracking tools, and clear documentation are commonly used to keep everyone informed and on the same page. This collaborative approach helps ensure that generative AI solutions are both technically robust and aligned with organizational goals.

What is the difference between Generative Ai Program Manager vs Data Scientist?

AspectGenerative Ai Program ManagerData Scientist
Required CredentialsBackground in AI, project management, and sometimes certifications in AI or product managementDegree in Computer Science, Statistics, or related field; often with certifications in data analysis or machine learning
Work EnvironmentLeads cross-functional teams, manages AI projects, collaborates with engineers and stakeholdersAnalyzes data, develops models, and interprets results primarily within data-focused teams
Employer & Industry UsageTech companies, AI startups, and organizations deploying generative AI solutionsTech firms, research institutions, and industries utilizing data analytics and machine learning

While both roles involve AI and data skills, the Generative Ai Program Manager focuses on overseeing AI projects and managing teams, whereas the Data Scientist primarily analyzes data and develops models. The Program Manager ensures project delivery, while the Data Scientist provides technical insights.

What cities are hiring for Generative Ai Program Manager jobs?

Cities with the most Generative Ai Program Manager job openings:

What states have the most Generative Ai Program Manager jobs?

States with the most job openings for Generative Ai Program Manager jobs include:

What are popular job titles related to Generative Ai Program Manager jobs?

For Generative Ai Program Manager jobs, the most frequently searched job titles are:

Infographic showing various Generative Ai Program Manager job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 96% Full Time, and 2% Temporary. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $107,460 per year, or $51.7 per hour.

AI Technical Program Manager

Atlanta, GA • On-site

Purple Drive Technologies LLC
IT Services • 51 - 200 employees
Learn more about Purple Drive Technologies LLCexternal

$124K - $160K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an experienced AI Technical Program Manager to lead the planning, execution, and delivery of AI, Generative AI, and intelligent automation initiatives. The role requires a strong delivery leader who can bridge business and technology teams, manage cross-functional programs, and drive the successful adoption of AI-powered solutions that deliver measurable business value.
The ideal candidate should have proven experience managing and delivering AI-related projects, a working understanding of modern AI technologies, and the ability to leverage AI tools to improve project delivery, productivity, and decision-making.
Key Responsibilities
Lead end-to-end delivery of AI, Generative AI, Analytics, and Intelligent Automation projects from initiation through production deployment.
Define project scope, schedules, budgets, resource plans, milestones, and success metrics.
Collaborate with business, product, data science, engineering, security, and operations teams to ensure successful outcomes.
Manage project risks, dependencies, issues, and stakeholder communications.
Drive adoption of AI-enabled project management practices, including AI-assisted planning, reporting, documentation, risk tracking, and productivity optimization.
Partner with technical teams to integrate AI capabilities throughout the SDLC, including requirements analysis, code generation, testing, documentation, and release planning.
Facilitate business workshops, governance reviews, status reporting, and executive steering committee meetings.
Coordinate user acceptance testing, deployment readiness, change management, and business adoption activities.
Ensure compliance with organizational governance, security, privacy, and Responsible AI requirements.
Driving organizational change and adoption for AI-enabled business processes.
Required Experience & Skills
10-14+ years of experience in Project Management, Program Management, Technology Delivery, or Digital Transformation.
Minimum 2+ years of experience delivering AI, Generative AI, Agentic AI, Data Science, Analytics, or Intelligent Automation projects.
Familiarity with AI-enabled SDLC tools such as GitHub Copilot, Claude Code, Antigravity, AI coding assistants, automated testing, and AI-driven project management tools.
Working knowledge of AI, Machine Learning (ML), Generative AI, Large Language Models (LLMs), AI agents, data platforms, APIs, and cloud-based AI services.
Understanding of LLMOps (optional MLOps), AI evaluation frameworks, model observability, and lifecycle management.
Familiarity with RAG architectures, vector databases, prompt engineering concepts, AI agents, and orchestration frameworks.
Knowledge of AI cost governance (AI FinOps), Responsible AI, Compliance, and enterprise AI operating models.
Proficiency with Jira, Azure DevOps, or similar project management platforms.
Proven track record delivering enterprise-scale technology initiatives involving multiple stakeholders and cross-functional teams.
Strong stakeholder management, communication, leadership, and problem-solving skills.
Experience with Agile, Scrum, or hybrid delivery methodologies.

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