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Generative Ai Project Manager Jobs in Santa Rosa, CA

Experience: 7-12 years+ overall, including time as a Senior Engagement Manager / Project Leader at ... Prior exposure to AI , Generative AI platforms, or data transformation initiatives. * Experience ...

Strategic Project Lead (SPL) $130K - $150K + Meaningful Equity Your Role As a Strategic Project ... leading AI labs, orchestrating complex workflows, managing teams of expert contributors, and ...

Strategic Project Lead (SPL) $130K - $150K + Meaningful Equity Your Role As a Strategic Project ... leading AI labs, orchestrating complex workflows, managing teams of expert contributors, and ...

Senior Backend Engineer - AI Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

Operating at the vanguard of generative AI, distributed systems, and fintech, you will empower WEX ... We provide fleet managers and operators with advanced spend orchestration capabilities ...

Senior Backend Engineer - AI Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

Operating at the vanguard of generative AI, distributed systems, and fintech, you will empower WEX ... We provide fleet managers and operators with advanced spend orchestration capabilities ...

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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 Jul 17, 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 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 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:
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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:

AI Expert Advisor -- Large Language Models & Generative AI (Part Time)

FranklinWH Energy Storage Inc.

Santa Rosa, CA • On-site

Other

Posted 18 days ago


Job description

About FranklinWH

FranklinWH is a leading provider of whole-home energy management and storage solutions, headquartered in San Jose, California. Our system intelligently manages solar, battery, grid, generator, and EV power through the AI-driven smart circuit aGate and high-capacity AC battery aPower. We are rapidly scaling production at our Santa Clara facility and actively integrating AI technology across our entire product and manufacturing pipeline.


Position Overview

We are seeking a highly accomplished and influential expert advisor in the fields of Large Language Models (LLMs) and Generative AI. This role will serve as a strategic advisor and external advocate for FranklinWH's AI initiatives, providing guidance on AI strategy and elevating the company's visibility and credibility in the AI industry.


This is a part-time, contract position.


Key Responsibilities

Strategic Advisory

● Provide strategic counsel to the executive team on LLM and Generative AI trends, opportunities, and risks

● Identify high-value AI application opportunities in energy management, smart home, and storage optimization

● Contribute to the development of the company's AI technology roadmap and long-term planning


Industry Representation

● Represent FranklinWH at industry summits, technology conferences, media interviews, and public events

● Enhance the company's brand presence and thought leadership in the AI + Energy space

● Review and endorse external communications, white papers, and technical publications


Technical Review

● Evaluate current and planned AI initiatives (including LLM, Agentic AI, RAG, and related technologies)

● Provide technical feasibility assessments and architecture recommendations

● Guide internal AI teams on technology selection and best practices


Ecosystem Development

● Leverage personal industry network to connect FranklinWH with top AI talent

● Facilitate introductions to academic institutions, technology partners, and potential investors

● Help establish long-term partnerships with the AI research community


Trend Analysis

● Deliver regular briefings on emerging trends in the LLM and Generative AI landscape

● Provide competitive intelligence and industry benchmarking insights

● Advise on AI regulatory developments, ethics, and compliance matters


Required Qualifications

● Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field

● 10+ years of experience in AI/ML, with at least 3 years focused on Large Language Models (LLMs) or Generative AI

● Recognized authority and broad influence in the California or U.S. AI industry (e.g., senior technical or leadership roles at organizations such as Google, Meta, OpenAI, Apple, NVIDIA, or equivalent)

● Deep expertise in Transformer architectures, large-scale model training and fine-tuning, RAG, Agentic AI, and MLOps

● Track record of keynote speeches, published papers, or thought leadership contributions at major industry conferences and academic journals

● Exceptional communication skills with the ability to articulate complex AI concepts to both technical and non-technical audiences

● Fluent in English with strong public speaking and executive communication skills


Preferred Qualifications

● Experience applying AI in the energy, cleantech, IoT, or smart hardware industries

● Prior experience serving on corporate AI advisory boards or as a technology advisor

● Research or practical experience in AI ethics, responsible AI, or AI governance

● Contributions to open-source projects, technology patents, or widely cited academic publications

● Strong personal brand and following on LinkedIn, Twitter/X, or other professional platforms

● Bilingual in English and Mandarin Chinese is a plus


Why FranklinWH?

● Frontier Opportunity: Help define the AI future of the clean energy industry at the intersection of AI and energy

● High Growth: Partner with a fast-growing, technology-driven energy company scaling rapidly in the U.S. market

● Flexibility: Flexible engagement structure that complements your existing professional commitments

● Unique Impact: Build a distinctive personal brand at the forefront of AI-powered clean energy — a globally significant mission


FranklinWH Energy Storage Inc. is an equal opportunity employer. We welcome candidates from all backgrounds.