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Generative Ai Project Manager Jobs (NOW HIRING)

Sales-Hub

AI Project Manager

Chino Hills, CA · On-site

The AI Project Manager will oversee AI-related projects, ensuring successful implementation and integration of AI tools to enhance sales processes and drive business growth. Company : Sales-Hub ...

Elliot Partnership

Generative AI Developer

New York, NY · On-site

Highly competitive compensation package Are you passionate about Generative AI (GAI) and eager to work on groundbreaking projects? A leading technology-driven firm is seeking a Software Developer to ...

University of Minnesota

AI Project Manager

Minneapolis, MN · Hybrid

$36.06 - $40.39/hr

AI Project Manager Job code: 8422PM (CO Pro 2-Proj Mgmt-Non IT) Employee Group: Civil Service Full/Part Time (FTE): Full time (1 FTE) About the Job: The Project Manager provides support and expertise ...

Deloitte

Oracle Generative AI Manager

Atlanta, GA · On-site

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Scout Motors Inc.

IT Project Manager, AI

Charlotte, NC · On-site

$96.20K - $113.80K/yr

... generative AI assistants), and emerging technologies. • Ability to identify opportunities for AI integration, automation, and ethical use of AI in project delivery. • Demonstrated success in ...

Deloitte

Oracle Generative AI Manager

Austin, TX · On-site

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Spruce Infotech

AI Project Manager

Lincolnshire, IL · On-site

Manage end-to-end delivery of multiple AI-related projects and initiatives * Develop and maintain project plans, timelines, and resource allocations * Coordinate cross-functional teams including ...

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

As of May 30, 2026, the average yearly pay for generative ai project manager in the United States is $102,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $123,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.

What are some unique challenges faced by Generative AI Project Managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What does a Generative AI Project Manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

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

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

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What cities are hiring for Generative Ai Project Manager jobs? Cities with the most Generative Ai Project Manager job openings:
What states have the most Generative Ai Project Manager jobs? States with the most job openings for Generative Ai Project Manager jobs include:
What job categories do people searching Generative Ai Project Manager jobs look for? The top searched job categories for Generative Ai Project Manager jobs are:
Generative Ai Project Manager jobs near you
Infographic showing various Generative Ai Project Manager job openings in the United States as of May 2026, with employment types broken down into 6% Internship, 76% Full Time, 6% Part Time, and 12% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $102,682 per year, or $49.4 per hour.
Director, Generative AI Enablement

Director, Generative AI Enablement

Hearst

Manhattan, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Hearst rating

6.7

Company rating: 6.7 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

48th of 64 rated media

Job description

Job Description
Hearst Technology Services is hiring a Director, Generative AI Enablement to help our organization achieve its technology vision. In this role, you will develop and deliver AI "as-a-service" capabilities that empower our 360+ business brands on an opt-in basis. As the Director, Generative AI Enablement, you will work in a fast-paced environment and be responsible for orchestrating cross-functional teams of technical specialists and performing hands-on work to build AI solutions that drive productivity, efficiencies, and revenue growth across our businesses. You will have strong opinions and thought leadership on AI best practices and remain focused on serving the needs of our central IT department and operating companies.
Key Responsibilities:
  • AI Service Development: Build and manage a portfolio of AI services and platforms (e.g. generative AI models, automation tools) that business units can opt into, by leveraging distributed engineering and data resources across the organization. Ensure these services are easily accessible, scalable, and secure, allowing our companies to leverage AI on demand for their specific and diverse needs.
  • Cross-Functional Leadership: Lead and coordinate agile, cross-functional teams through a matrixed operating model. Influence priorities, align stakeholders, and drive execution from concept to production. Work collaboratively with business unit stakeholders in an iterative process to ensure solutions address real-world problems and are adopted successfully.
  • Generative & Agentic AI Expertise: Provide technical direction in cutting-edge AI areas, including large language models (GPT), retrieval-augmented generation (RAG), and autonomous AI "agents." Guide the team in selecting the right approaches and tools for each project, and contribute hands-on to model development, validation, and integration when needed.
  • Partner Integration: Collaborate with external service providers and vendors to augment our capabilities and coordinate internal and external resources in a blended delivery model. Evaluate and onboard third-party AI solutions or consulting partners where appropriate, managing these relationships to complement internal efforts and accelerate delivery of AI initiatives.
  • Governance & Best Practices: Implement AI governance and best practices across projects by coordinating the establishment of standards adoption across decentralized teams. This includes establishing guidelines for responsible and ethical AI usage (managing risks, bias, and accuracy), defining operational and support processes for AI solutions post-deployment, and ensuring compliance with data privacy and security standards.
  • Operational & Engagement Models: Define clear engagement processes for business units to access AI services. Develop chargeback or funding models for central AI offerings, ensuring transparency of costs. Continuously refine how the central AI team works with divisions including defining roles, responsibilities, and engagement expectations in a matrixed model where delivery resources sit within business units or Hearst Technology Services (e.g. consulting, joint development, or self-service models) to maximize value and satisfaction.
  • Performance Measurement: Monitor and report on the impact of AI solutions. Track key success metrics such as efficiency gains, error reduction, revenue uplift, and user satisfaction. Use these insights to improve services and demonstrate the business value of AI initiatives.
  • Stakeholder Communication: Act as the primary liaison for AI initiatives between Hearst Technology Services and business unit leaders. Communicate progress, gather feedback, and ensure alignment with each unit's goals and secure commitment of shared resources and priorities across competing initiatives. Champion an AI-driven innovation mindset while always prioritizing the needs and strategies of the businesses we serve.

Qualifications:
  • Education: Bachelor's degree in Computer Science, Data Science, or related field; Master's degree preferred.
  • Experience: 10+ years of experience in technology roles with at least 5 years in AI/ML or data science leadership. Proven track record of delivering AI/ML solutions in production (experience with Generative AI projects highly desired). 5+ years of managing teams or projects in a complex, cross-functional environment.
  • Technical Skills: Deep knowledge of AI/ML techniques, including natural language processing, machine learning frameworks, and cloud-based AI services. Hands-on experience with GPT or other large language models, and familiarity with RPA and other automation technologies. Strong understanding of MLOps, data pipelines, and deploying models at scale.
  • Business Acumen: Demonstrated ability to identify business process improvements and translate them into AI opportunities. Consulting mindset with excellent analytical and problem-solving skills to ensure AI initiatives have clear ROI and fit business objectives.
  • Leadership & Communication: Strong leadership and team-building skills. Demonstrated ability to lead, influence, and mentor cross-functional teams in a matrixed environment without direct authority. Proven success driving alignment and delivery across distributed teams. Excellent presentation and interpersonal skills, with the ability to influence and build consensus across diverse teams.
  • Service-Oriented Mindset: Passion for enabling and supporting internal "customers." High level of empathy and a collaborative approach to working with different business units. Ability to balance assertive recommendations with a flexible, listening attitude to meet each stakeholder's needs.
  • Innovation & Adaptability: Up-to-date with the latest AI trends and technologies. Creative thinker who can introduce new ideas and adapt strategies based on emerging best practices in AI and feedback from business stakeholders.

In accordance with applicable law, Hearst is required to include a reasonable estimate of the compensation for this role if hired in New York City. The reasonable estimate, if hired in New York City, is $200,000 to $220,000. Please note this information is specific to those hired in New York City. For candidates outside New York City, the salary range will be aligned with the specific location. A final decision on the successful candidate's starting salary will be based on a number of permissible, non-discriminatory factors, including but not limited to skills, experience, training, certifications, and education. Hearst provides a competitive benefits package, including medical, dental, vision, disability, and life insurance, 401(k), paid holidays and paid time off, employee assistance programs, and more.
About Us
Hearst is a leading global, diversified information, services, and media company dedicated to innovating, informing audiences and leading with purpose, integrity and a culture of care.
Our portfolio includes more than 360 businesses worldwide. On the consumer side, we operate 35 television stations, 28 daily newspapers and publish more than 200 magazine editions featuring many of the most iconic brands in media. We also hold ownership stakes in leading cable networks such as A&E, HISTORY, Lifetime and ESPN. On the business-to-business side, our companies include Fitch Group, a global leader in financial information and analytics; Hearst Health, which provides intelligence and software that improve care outcomes; and Hearst Transportation, which delivers data and software for aviation, automotive and trucking.
Our strength lies in our people. We value the diverse perspectives that move us forward. We are an Equal Opportunity Employer and makes employment decisions without regard to race, color, religion, national origin, sex or gender, sexual orientation, gender identity, gender expression, age, disability, military or veteran status or any other status protected by federal, state, or local law. We also provide reasonable accommodations to applicants and employees consistent with applicable law.
About the Team
Our Corporate Teams deliver essential programs and services that support the entire Hearst enterprise. Spanning communications, employee benefits, finance, learning and development, legal, technology, and more, these teams lead initiatives that advance Hearst's mission to inform and inspire. Here, you'll find opportunities to grow, collaborate and make a lasting impact.

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