ZipRecruiter

Log In

1

Generative Ai Director Jobs in California (NOW HIRING)

C3 AI

Product Manager - C3 Generative AI

Redwood City, CA · On-site

$132K - $194K/yr

C3 Generative AI is an enterprise application powered by patented agent orchestration technology ... Create product marketing collateral from directed input and develop target persona lists, keyword ...

Writer

Software engineer, generative AI

San Francisco, CA · On-site

$111K - $304K/yr

As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human ... You'll report to an engineering director or a senior engineering manager. * We are open to hiring ...

Visa

Head of Generative AI Research

Foster City, CA · Hybrid

As Head of Generative AI Research, you will shape Visa's GenAI research agenda, collaborate with top academic institutions, publish in premier AI conferences, and work closely with product and ...

TEKsystems

Art Director, Gen AI

San Francisco, CA · On-site

$90 - $100/hr

GenAI Art Director Overview We are seeking an AI-native Art Director to lead the development of ... Generative AI Image Creation & Process Development * Personally generate and prompt engineer ...

next page

Showing results 1-20

All JobsGenerative Ai JobsGenerative Ai Director JobsGenerative Ai Director Jobs in California

Generative Ai Director information

What does a Generative AI Director do?

A Generative AI Director leads teams in developing and deploying artificial intelligence models that create new content, such as text, images, or music. They oversee the strategic vision, project management, and ethical considerations of generative AI initiatives. This role often involves collaborating with data scientists, engineers, and business leaders to ensure AI solutions align with organizational goals and comply with industry standards. Additionally, the Generative AI Director stays up to date with the latest advancements in AI research and guides the integration of cutting-edge technologies into products and services.

What are the key skills and qualifications needed to thrive as a Generative AI Director?

To thrive as a Generative AI Director, you need deep expertise in AI/ML algorithms, experience leading technical teams, and an advanced degree in computer science or a related field. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and familiarity with data privacy standards and relevant certifications (like AWS Certified Machine Learning) are highly valued. Strong leadership, strategic vision, and effective communication skills help drive innovation and align cross-functional teams. These skills are crucial for successfully managing complex AI initiatives, ensuring ethical deployment, and maintaining a competitive edge in a rapidly evolving field.

What are the typical challenges faced by a Generative AI Director when leading cross-functional teams?

As a Generative AI Director, one common challenge is aligning diverse teams—such as data scientists, software engineers, product managers, and designers—toward a unified vision for AI-driven solutions. Balancing innovation with ethical considerations and regulatory compliance is also critical, especially as generative AI evolves rapidly. Additionally, fostering continuous learning while managing stakeholder expectations and resource constraints requires strong leadership, clear communication, and strategic prioritization.

What is the difference between Generative Ai Director vs Data Scientist?

AspectGenerative Ai DirectorData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields; technical skills
Work EnvironmentLeadership roles overseeing AI projects, strategic planning, cross-team collaborationData analysis, model development, statistical modeling, coding
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce, research organizations

While both roles involve AI and data, the Generative Ai Director focuses on leading AI initiatives and strategic oversight, whereas the Data Scientist concentrates on data analysis and model development. The Director role typically requires more leadership experience and a broader understanding of AI applications.

What are the most commonly searched types of Generative Ai jobs in California?

The most popular types of Generative Ai jobs in California are:

What are popular job titles related to Generative Ai Director jobs in California?

For Generative Ai Director jobs in California, the most frequently searched job titles are:

What job categories do people searching Generative Ai Director jobs in California look for?

The top searched job categories for Generative Ai Director jobs in California are:

What cities in California are hiring for Generative Ai Director jobs?

Cities in California with the most Generative Ai Director job openings:

Generative Ai Director jobs near you
Infographic showing various Generative Ai Director job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Product Manager - C3 Generative AI

C3 AI

Redwood City, CA • On-site

$132K - $194K/yr

Full-time

Posted 6 days ago

Job description

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI
C3 AI is seeking a Product Manager to support the development and growth of our C3 Generative AI platform. In this role, you will drive feature-level product strategy, execution, and delivery, focusing on the technical aspects of building and scaling AI solutions. You will work closely with engineering, data science, product marketing, and customer-facing teams to translate market needs into functional software capabilities and deliver high-impact AI products.
About C3 Generative AI:
C3 Generative AI is an enterprise application powered by patented agent orchestration technology that automates complex queries and workflows via natural language. Specialized AI agents analyze omni-modal enterprise data to deliver accurate, domain-specific insights with built-in source validation.
Responsibilities:
  • Product Execution: Drive end-to-end feature development and product deployment, actively problem-solving alongside engineering and data science teams.
  • Requirements & Specifications: Author comprehensive product specifications across multiple features, iterating with the Product Council and cross-functional teams to secure approval.
  • Roadmap & Feature Planning: Identify new feature opportunities for your product area, contributing to long-term product vision and translating high-level plans into structured development phases.
  • Customer Engagement: Engage with prospective and existing customers (Working Team through Mid Management levels) to demonstrate software capabilities, discuss roadmaps, and facilitate technical scoping discussions.
  • Requirements Gathering: Facilitate technical customer discussions for your product area, contribute to Functional Requirements Documents (FRDs), and translate customer needs into clear product specs.
  • Product Marketing & Collateral: Create product marketing collateral from directed input and develop target persona lists, keyword strategies, and demo content to support marketing campaigns.
  • Analyst Relations: Support targeted product demos for industry analysts under the guidance of General Managers and Product VPs.
  • Cross-Functional Collaboration: Build constructive, cross-organizational relationships across engineering, data science, marketing, and sales to ensure successful feature releases

Qualifications:
  • Education: Bachelor's degree in Computer Science, Engineering, or a related technical field; advanced degree preferred.
  • Experience: 2-4+ years of product management experience in enterprise software, AI, or a related technical domain.
  • Domain Knowledge: Strong understanding of at least one core AI/ML or enterprise application area, with a foundational understanding of broader platform capabilities (e.g., Generative AI, data pipelines, model operationalization).
  • Technical & Analytical Skills: Proven ability to structure technical problems, translate user needs into detailed feature requirements, and collaborate directly with engineering teams.
  • Communication: Clear written and verbal communication skills, with the ability to articulate technical concepts concisely in documentation and presentations.
  • Customer-Facing Ability: Comfort presenting software capabilities, conducting product demos, and participating in customer scoping sessions.
  • Execution Focus: Strong organizational skills with the ability to manage competing feature priorities and deliver quality work in a fast-paced environment.

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.
C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
California Base Pay Range
$132,000-$194,000 USD
C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Apply