Demand Generation Marketing & Analytics Director

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 looking for a hands-on demand generation leader to build and run the programs that create qualified pipeline. This is a player-coach role — you set the strategy and stay close to the execution, shipping campaigns yourself and owning the number they produce. Success is measured by the qualified pipeline and revenue your programs generate.

You will decide what qualifies as a marketing-qualified lead, own the handoff and follow-up that turn those leads into opportunities, and build the analytics practice that shows what is working and where to spend next. Increasingly that means putting AI to work across the engine, from campaign production to how enterprise buyers discover C3 AI through AI-driven search. You will partner daily across Sales and Business Development, Product Marketing, Alliances and Field Marketing, Communications and Content, Marketing Operations, and Web.

It is a foundational role for someone who wants to build and shape a function in a fast-moving, high-growth environment.

Responsibilities:

• Manage Demand Gen. Manage the demand generation metrics, budget, return on spend and any agency or media partners, and move investment toward what converts.
• Put campaigns into market, and keep improving them. Build, launch, and run integrated campaigns across the channels that reach C3 AI's buyers, then read the results, test, and adjust creative, targeting, and spend on a regular cadence.
• Define the MQL and own the motion after it. Set the qualification and scoring model for a marketing-qualified lead with Sales as a shared agreement, and own the lifecycle that follows — nurture, routing, follow-up, and conversion through to opportunity.
• Stand up an analytics-driven practice. Build the measurement layer — attribution, funnel and channel reporting, and a regular operating rhythm — and report performance and insight to Marketing and company leadership.
• Put AI to work in the engine. Use AI tools to scale campaign production, analysis, and personalization, and help C3 AI stay visible as enterprise buyers increasingly research through AI search and assistants.
• Work across the company. Partner with Sales, Product Marketing, Alliances, Communications, and Web to turn shared goals into coordinated programs, support major events and announcements, and mentor the team as it grows.