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Generative Ai Project Manager Jobs in Bothell, WA

Uber

Senior Product Manager, Generative AI

Seattle, WA · On-site +1

At Uber, Generative AI is becoming a foundational technology across a diverse range of product ... Basic Qualifications**- 5+ years of true technical Product Management experience delivering highly ...

Adobe

Sr Applied Scientist, Generative AI/ML

Seattle, WA

$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 ...

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

Generative Ai Project Manager information

See Bothell, WA salary details

$43K

$114.8K

$181.1K

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

As of Jun 20, 2026, the average yearly pay for generative ai project manager in Bothell, WA is $114,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $137,500.00 per year, depending on experience, location, and employer.

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 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, 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 job categories do people searching Generative Ai Project Manager jobs in Bothell, WA look for? The top searched job categories for Generative Ai Project Manager jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Generative Ai Project Manager jobs? Cities near Bothell, 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 Bothell, WA as of June 2026, with employment types broken down into 71% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $114,787 per year, or $55.2 per hour.
Partner Engineer, Generative AI Integration and Distribution

Partner Engineer, Generative AI Integration and Distribution

Meta

Seattle, WA • Remote

$149K/yr

Full-time

Posted 2 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

We are seeking a Partner Engineer to join Meta’s GenAI Integration and Distribution team, focused on enabling strategic partners to succeed with our generative AI products and platforms. As a GenAI Partner Engineer, you will be a subject matter expert on generative AI and our tool stack, and work closely with external partners to understand their technical requirements, design and ship solutions, and ensure seamless integration with our products. You will be responsible for driving technical engagements, inventing new generative AI assets, building strong relationships with partners, and identifying opportunities to grow partnerships.
Partner Engineer, Generative AI Integration and Distribution Responsibilities:
  • The Partner Engineer role on Meta’s GenAI Integration and Distribution team is a key technical position focused on enabling strategic external partners to successfully leverage Meta's generative AI products and platforms. The person in this role is a subject matter expert in generative AI and Meta's tool stack, responsible for driving technical engagements, understanding partner requirements, and designing and integrating end-to-end AI solutions. This role requires a blend of technical depth, including shipping production-level code and creating technical documentation, and effective interpersonal skills, such as communicating technical concepts to non-technical audiences and aligning cross-functional stakeholders to build productive partner relationships, influence the product roadmap, and resolve complex technical and business challenges. The Partner Engineer will be a core contributor to the Meta AI developer ecosystem, mentoring peers and serving as a domain expert
  • Drive technical engagements with strategic GenAI partners to understand requirements and deliver solutions to complex problems
  • Design, build, and integrate end-to-end generative AI systems and launch-plan strategies to meet the needs of our partners
  • Use a broad range of technical and soft skills to build productive relationships with partners, and independently resolve complex technical and business needs
  • Use expertise and product insight to deliver high-quality project, integration, and partner engagements
  • Work closely with product teams, guide workflow changes, and gain consensus from stakeholders while influencing the product roadmap to meet the business needs
  • Build and manage strong working relationships with partner technical counterparts and internal cross-functional teams
  • Ship production level code, code reviews, and provide constructive feedback while quickly acting on feedback from code reviews conducted on your code
  • Create technical content, tools, and documentation to empower developers and partners
  • Contribute to the Meta AI developer ecosystem, including case studies, online courses, and best practices
  • Influence decision-making through presentation and dissemination of data-centric analyses
  • Serve as a generative AI subject matter expert within the team and provide consultation on domain-level projects
  • Mentor and share knowledge with peers, fostering collaboration and knowledge-sharing within the team
  • Participate in the interviewing and onboarding of new team members

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
  • 5+ years of experience in one or more of the following areas: Software Engineering, Artificial Intelligence, Machine Learning, or a related field
  • Development experience in languages like Python, Java, Go, Rust, C, and C++. (at least one)
  • Experience with generative AI tool stacks including LLMs such as LLaMA, GPT, Claude, etc
  • Experience working with external partners, customers, or stakeholders to understand their technical requirements and deliver solutions
  • Experience with cloud-based technologies, APIs, and data integration
  • Project management experience

Preferred Qualifications:
  • Experience communicating technical concepts to both technical and non-technical stakeholders, and experience analyzing data to inform decisions and solve complex problems
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Knowledge in one or more of the following areas: generative AI, Machine Learning, software development, data processing, programming languages, databases, networking, or operating systems
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$149,000/year to $210,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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