Vice President, Developer Enablement

C3 AI

Redwood City, CA

JOB DETAILS
SKILLS
API Documentation, Amazon Web Services (AWS), Artificial Intelligence (AI), Cloud Architecture, Computer Programming, Computer Science, Content Development, Cross-Functional, Data Science, Documentation, Ecosystems, Editing, Educational Technology, GCP (Good Clinical Practices), High Tech Industry, Identify Issues, Information Architecture, Instructional Design, Java, JavaScript, Leadership, Microsoft Windows Azure, Physics, Platform as a Service (PaaS), Product Engineering, Professional Services, Python Programming/Scripting Language, Software as a Service (SaaS), System Integration (SI), Team Building, Team Lead/Manager, Technical Leadership, Technical Writing, Technical/Engineering Design
LOCATION
Redwood City, CA
POSTED
13 days ago

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

We are seeking a Vice President of Developer Enablement to define and execute the strategy for how developers, data scientists, and architects master the C3 AI Platform. This is not a traditional documentation or training role. We need a technical leader who understands that in a complex PaaS environment, content is product.

You will lead the teams responsible for training, documentation, technical tutorials, and training frameworks. You must be hands-on, able to spin up the stack, write code samples, and understand "Model-Driven Architecture" at a fundamental level. Your mandate is to treat technical education as a scalability engine, ensuring that our documentation and training are as world-class and robust as the software itself.

Responsibilities:

• Strategic Leadership: Define the vision for C3 AI’s technical information architecture. Transition the organization from reactive content creation to a proactive, developer-centric enablement framework.

• Content Engineering: Oversee the creation of highly technical documentation, API references, and architecture guides. Ensure content is accurate, testable, and automated where possible.

• Scalable Training Frameworks: Design and implement a certification and training ecosystem that can scale to thousands of external developers and partners.

• Hands-on Validation: Personally validate the "Time to Hello World" and developer journey. If a tutorial breaks, you should have the technical acumen to diagnose why.

• Cross-Functional Alignment: Work in lockstep with Product Management and Engineering to ensure documentation is developed concurrently with new features, not as an afterthought.

• Team Building: Recruit and manage a high-performing team of Technical Writers, Instructional Designers, Technical Trainers, and Developer Advocates who hold themselves to the highest standards of technical accuracy.

Qualifications:

• Bachelor’s or master’s degree in computer science, Engineering, Physics, or a related hard science field.

• 10+ years of experience in technical leadership within enterprise SaaS, PaaS, or deeply technical software companies.

• Technical Fluency: Demonstrated ability to read and write code (Python, JavaScript, Java) and a deep understanding of cloud architectures (AWS, Azure, GCP).

• Proven Enablement Success: Experience building "Center of Excellence" style frameworks that successfully ramped up external developer ecosystems.

• Leadership: Experience managing distributed teams and driving high output in a fast-paced, high-intensity environment.

Preferred Qualifications:

• Demonstrated fluency in creating and editing high-fidelity video tutorials, utilizing video as a critical medium to elevate the technical conversation and visually demonstrate the depth of the C3 AI Platform

• Experience specifically with AI/ML platforms or complex data integration tools.

• Background in professional services or systems integration, providing a deep empathy for the implementation engineer.

• Experience with "Docs-as-Code" workflows.

About the Company

C

C3 AI