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Generative Ai Project Manager Jobs in Santa Rosa, CA

... Wajo AI across universities. Qualifications * Program and project management skills, including planning, organizing, and executing campus initiatives. * Relationship-building and stakeholder ...

... Wajo AI across universities. Qualifications * Program and project management skills, including planning, organizing, and executing campus initiatives. * Relationship-building and stakeholder ...

... thousands of projects, and defining curated datasets and predictive models that power AI ... Leverage generative tools and agentic workflows to move faster and work smarter What we're looking ...

... manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers ... working understanding of generative AI architectures - LLMs, RAG systems, and agentic AI ...

... customer's project focused on developing advanced AI-assisted writing tools for clinical ... and appendix management. * Evaluate scientific accuracy in narrative sections such as efficacy ...

About Ema Ema is building the world's leading Agentic AI platform to transform enterprise ... Strong organizational and project management skills. Preferred Skills: * Familiarity with tools ...

... for managing and modeling complex scientific data. Key Responsibilities 1. Develop AI-enabled ... Participating in project meetings and presenting technical progress * Creating clear documentation ...

Showing results 41-60

Generative Ai Project Manager information

See Santa Rosa, CA salary details

$42.1K

$112.3K

$177.1K

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

As of Sep 7, 2026, the average yearly pay for generative ai project manager in Santa Rosa, CA is $112,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $134,500.00 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 Santa Rosa, CA?

For Generative Ai Project Manager jobs in Santa Rosa, CA, the most frequently searched job titles are:

What job categories do people searching Generative Ai Project Manager jobs in Santa Rosa, CA look for?

The top searched job categories for Generative Ai Project Manager jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Generative Ai Project Manager jobs?

Cities near Santa Rosa, CA with the most Generative Ai Project Manager job openings:

Infographic showing various Generative Ai Project Manager job openings in Santa Rosa, CA as of June 2026, with employment types broken down into 72% Full Time, 21% Part Time, and 7% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $112,265 per year, or $54 per hour.

IT Specialist 6 month Register-Direct Hire

US Department of the Treasury

Santa Rosa, CA • On-site

$106K/yr

Full-time

Posted 7 days ago


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

312th of 856 rated public administrative organizations


Job description


WHAT IS Information Technology Division?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • IT -
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIRMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
MINIMUM REQUIREMENTS FOR GRADE 12 LEVEL UP (GS or Equivalent) Applicants must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8)Teamwork and 9) Technical Competence.
SPECIALIZED EXPERIENCE GS-13: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes:
  • Applying IT principles, methods, and engineering practices to develop, implement, integrate, maintain, troubleshoot, or enhance IT systems, cloud services, databases, hardware, software, applications, interfaces, scripts, or related technology environments.
  • Developing, configuring, testing, deploying, documenting, or supporting IT solutions while ensuring compliance with applicable cybersecurity, privacy, accessibility, and regulatory requirements.
  • Collaborating with customers, stakeholders, users, and technical teams to define business or technical requirements, advising on feasible IT approaches, and implementing secure, reliable, scalable IT solutions, including application enhancements where applicable.
  • Evaluating system, service, cloud or application performance, availability, reliability, usability, and operational effectiveness; identifying technical issues, risks, recurring issues, or defects; and recommending or implementing corrective actions consistent with established policies and procedures.
  • Analyzing multiple technical alternatives and advising management or IT specialists on the appropriate technologies, architectures, engineering approaches, or implementation strategies to support organizational objectives.
And
ARTIFICIAL INTELLIGENCE (AI) EXPERIENCE
Experience that includes one or more of the following:
  • Designing, developing, implementing, integrating, or supporting Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Natural Language Processing (NLP), predictive analytics or related technologies within an IT environment
  • Evaluating AI-enabled systems for performance, reliability, security, scalability, or operation effectiveness and recommending technical improvements
  • Applying AI governance, responsible AI, , security, privacy, or risk management during the design, development, deployment, or operation of AI solutions.
Or
CYBERSECURITY EXPERIENCE
Experience that includes one or more of the following:
  • Implementing, configuring, integrating, or supporting cybersecurity technologies, security controls, cloud security, identity management, security monitoring, or enterprise security solutions.
  • Analyzing cybersecurity threats, vulnerabilities, incidents, compliance requirements or operational risks and recommending or implementing mitigation strategies.
  • Evaluating systems, applications, cloud environments, or enterprise architectures to ensure compliance with cybersecurity requirements, security frameworks, or risk management principles.

SPECIALIZED EXPERIENCE GS-14: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes:
  • Leading or serving as the technical authority for complex IT projects, enterprise applications, cloud services, cybersecurity initiatives, systems integration efforts, or modernization programs affecting multiple organizations or business functions. Applying advanced IT principles, to evaluate requirements, resolve complex technical issues, guide architecture and design decisions, and ensure compliance with cybersecurity, privacy, accessibility, and federal requirements.
  • Leading collaboration among customers, stakeholders, users, product or business owners, and technical teams to define business or technical requirements, communicate technical impacts, and guide delivery of secure, reliable, scalable IT solutions.
  • Evaluating system, service, or application performance, availability, reliability, security controls, usability, and operational effectiveness; identifying risks, issues, defects, or gaps; and leading corrective actions or modernization efforts.
  • Analyzing competing technical approaches and providing authoritative recommendations to management, stakeholders, or IT specialists regarding enterprise architectures, technologies, cloud services, cybersecurity controls, engineering standards, or implementation strategies with organizational impact.
And
ARTIFICIAL INTELLIGENCE (AI) EXPERIENCE
Experience that includes one or more of the following:
  • Leading or providing technical direction for AI, machine learning, or Generative AI solutions supporting enterprise business operations.
  • Evaluating AI technologies, architecture, models, infrastructure or implementation strategies and recommend solutions or improvements.
  • Developing or implementing technical approaches for AI governance, security, privacy, explainability, risk management, reliability, or responsible AI practices.
Or
CYBERSECURITY EXPERIENCE
Experience that includes one or more of the following:
  • Leading technical direction for the development, implementation , assessment, or improvement of cybersecurity programs, architectures, controls or solutions within an IT environment.
  • Evaluating enterprise cybersecurity risks, threats, vulnerabilities, cloud security architectures, and technical requirements to develop or recommend risk mitigation strategies.
  • Developing enterprise cybersecurity standards, technical guidance, security architectures or engineering solutions supporting secure IT operations.

Please refer to EDUCATION for remaining Qualifications
For more information on qualifications please refer to OPM's Qualifications Standards.Education:QUALIFICATIONS CONTINUED
SPECIALIZED EXPERIENCE GS-15: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-14 grade level in Federal service. Specialized experience for this position includes:
  • Directing, overseeing, or providing strategic guidance for major IT programs, enterprise-level projects, technology modernization efforts, or high-visibility initiatives with broad organizational, agency-wide, or mission impact.
  • Applying IT principles, to evaluate requirements, resolve complex technical issues, guide architecture and design decisions, and ensure compliance with cybersecurity, privacy, accessibility, and federal requirements..
  • Collaborating with executives, senior leaders, customers, stakeholders, program or product leaders, and technical organizations to define mission needs, set priorities, and direct implementation of secure, resilient, scalable, and mission-effective IT solutions.
  • Overseeing enterprise technology governance, risk management, modernization planning, and implementation efforts across multiple organizations. Evaluating competing technical, operational, software, and strategic approaches and advising senior leadership or executive stakeholders on decisions, tradeoffs, policies, standards, governance, and resolution of IT challenges that affect mission delivery.
And
ARTIFICIAL INTELLIGENCE EXPERIENCE
Experience that includes one or more of the following:
  • Leading enterprise AI strategies or directing the design, development, integration, or implementation of Artificial Intelligence, Machine Learning, Generative AI, Natural Language Processing, or related technologies.
  • Establishing enterprise AI architectures, governance, technical standards, security requirements, or modernization strategies.
  • Advising executive leadership regarding AI strategy, responsible AI implementation, enterprise data architecture, vendor capabilities, or AI-enabled modernization initiatives.
Or
CYBERSECURITY EXPERIENCE
Experience that includes one or more of the following:
  • Providing executive-level technical leadership for enterprise cybersecurity, cloud security, Zero Trust, identity management, enterprise risk management, or infrastructure protection initiatives.
  • Developing enterprise cybersecurity architectures, modernization strategies, technical standards, or risk management frameworks.
  • Advising executive leadership regarding enterprise cybersecurity strategy, emerging threats, modernization priorities, technology investments, or government-wide cybersecurity initiatives.


    You must also meet the following requirements

  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education.

EDUCATION
A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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