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Generative Ai Project Manager Jobs in Seattle, WA

Adobe

Sr Applied Scientist, Generative AI/ML

Seattle, WA · On-site

$142K - $270K/yr

The Opportunity Adobe is seeking to add Applied Scientists in Generative AI to our world-class AI ... Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and ...

SnapSoft

IT Project Manager-US based

Seattle, WA · On-site +1

$112K - $132K/yr

Our experienced team holds renowned AWS certifications, including the AWS Generative AI Competency ... Project Management & Execution: Take full responsibility for every stage of the project lifecycle ...

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All JobsGenerative Ai Project JobsGenerative Ai Project Manager JobsGenerative Ai Project Manager Jobs in Seattle, WA

Generative Ai Project Manager information

See Seattle, WA salary details

$43.8K

$116.9K

$184.4K

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

As of Sep 2, 2026, the average yearly pay for generative ai project manager in Seattle, WA is $116,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $140,000.00 per year, depending on experience, location, and employer.

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

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 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.

What are popular job titles related to Generative Ai Project Manager jobs in Seattle, WA?

For Generative Ai Project Manager jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Generative Ai Project Manager jobs in Seattle, WA look for?

The top searched job categories for Generative Ai Project Manager jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Generative Ai Project Manager jobs?

Cities near Seattle, WA with the most Generative Ai Project Manager job openings:

Generative Ai Project Manager jobs near you
Infographic showing various Generative Ai Project Manager job openings in Seattle, WA as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $116,855 per year, or $56.2 per hour.

ML Postdoc Researcher - LLMs & Generative AI

Truveta

Seattle, WA • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. They are seeking a highly motivated Machine Learning Postdoctoral Researcher to join their AI research team and contribute to innovative projects in Large Language Modeling and clinical data analysis.
Responsibilities:
• Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
• Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
• Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
• Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
• Deliver the next generation of innovation in trustworthy healthcare.
Qualifications:
Required:
• Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI
• Strong theoretical and practical background in NLP including experience with state-of-the-art architectures
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI
• Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
• Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems
• Strong communication skills and the ability to work effectively in a collaborative research environment
Preferred:
• Experience with distributed parallel training, large-scale multi-modal foundation and generative models
• Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques
• Familiarity with training multi-modal foundation models
• Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments
• A track record of publications and contributions to the machine learning and natural language processing communities
Company:
Truveta is a healthcare data platform that provides EHR data for scientific research. Founded in 2020, the company is headquartered in Bellevue, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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