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Generative Ai Project Manager Jobs in Santa Rosa, CA

People In AI

Principal AI Engineer

Santa Rosa, CA · On-site

$275K - $300K/yr

Lead AI projects from early experimentation through deployment, measurement, and ongoing ... A high-ownership approach and the ability to lead technically without relying on formal management ...

Block

Product Manager, GTM Automation

Bodega Bay, CA · On-site

Afterpay is transforming the way customers manage their spending over time. TIDAL is a music ... Hands-on experience with LLMs, multimodal models, or applied generative AI Highly Preferred

Procore

Principal Product Manager, Data

Bodega Bay, CA · On-site

... 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 ...

Block

Staff Data Scientist, Pricing

Bodega Bay, CA · On-site

... 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 ...

AI Fabrik

Technical Program Manager

Santa Rosa, CA · On-site

$170K - $240K/yr

About AI Fabrik AI Fabrik builds an edge inference delivery network for high-performance tokens ... Familiarity with project and program management tools (Jira, Confluence, Linear, or equivalent)

AI Fabrik

Technical Program Manager

Sonoma, CA · On-site

$170K - $240K/yr

About AI Fabrik AI Fabrik builds an edge inference delivery network for high-performance tokens ... Familiarity with project and program management tools (Jira, Confluence, Linear, or equivalent)

SuperOps

Senior Product Manager

Sonoma, CA · On-site

$141K - $187K/yr

Practical experience on AI projects to understand and build a portfolio.(e.g., Machine Learning ... Management, and the AI Builder are hard, consequential product problems that most product leaders ...

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All JobsGenerative Ai Project JobsGenerative Ai Project Manager JobsGenerative Ai Project Manager Jobs in Santa Rosa, CA

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 2, 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:

Generative Ai Project Manager jobs near you
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.

Principal AI Engineer

People In AI

Santa Rosa, CA • On-site

$275K - $300K/yr

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Principal AI Engineer (AI Platform, Evals & Production Systems)

$275k–$300k base plus equity

San Francisco Hybrid (2 days a week)


The Company

A high-growth, venture-backed SaaS company is building AI-powered products for complex, knowledge-intensive workflows. The business has established market traction and is making a significant investment in the infrastructure required to deliver reliable applied AI at scale.


The Opportunity

This is a principal-level opportunity to help define how production AI systems are designed, evaluated, monitored, and scaled across the company. You will have broad technical ownership and direct influence over a platform that is central to the next phase of the product roadmap.


The Role

You will architect and build the infrastructure behind production LLM applications, with a focus on evaluation, ingestion, observability, retrieval, and operational reliability. You will combine hands-on engineering with technical leadership, setting standards and helping multidisciplinary teams move from prototypes to durable customer-facing systems.


What You’ll Do

  • Architect and scale the company’s core AI platform and supporting infrastructure.
  • Build evaluation frameworks, monitoring systems, ingestion pipelines, and observability tooling for production AI applications.
  • Design and improve retrieval, embedding, prompting, and model-interaction workflows.
  • Lead AI projects from early experimentation through deployment, measurement, and ongoing optimization.
  • Establish engineering standards for testing, versioning, quality control, and system reliability.
  • Partner with product, design, engineering, and domain specialists to translate complex workflows into effective AI products.
  • Provide technical direction and raise the quality of AI engineering across the wider organization.


What You’ll Bring

  • Deep software engineering experience across backend systems, infrastructure, distributed systems, or platform engineering.
  • A track record of shipping AI or machine learning systems into production.
  • Strong Python skills and the ability to perform well in rigorous coding and system design discussions.
  • Experience with areas such as LLMs, retrieval systems, agents, NLP, evaluations, observability, or data ingestion.
  • The judgement to balance experimentation, delivery speed, technical quality, and long-term maintainability.
  • A high-ownership approach and the ability to lead technically without relying on formal management authority.
  • Clear communication skills and confidence working across engineering, product, design, and business teams.


What This Role Requires

  • Production experience building or operating AI-enabled software systems.
  • Strong backend or platform engineering fundamentals.
  • Advanced Python development experience.
  • Ability to design and own complex systems from initial architecture through production operation.
  • Willingness to work on-site in San Francisco.


Why Join

  • Own a strategically important AI platform with company-wide product impact.
  • Solve complex production challenges across evaluation, reliability, retrieval, data, and infrastructure.
  • Join during a major scaling phase with strong compensation, equity, and meaningful technical influence.


About People in AI

People in AI is a specialist recruitment partner connecting exceptional AI, machine learning, data, and engineering talent with some of the most ambitious technology companies in the world. We work closely with founders, technical leaders, and hiring teams to represent opportunities accurately and help candidates assess genuine fit.

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