AI Engagement Manager/Senior AI Engagement Manager - Energy (Portuguese Spe at C3.ai

Houston, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Mar, 26

Salary

0.0

Posted On

13 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engagement, Enterprise AI, Cross-Functional Team Leadership, Customer Engagement, Project Management, Technical Specifications, Business Acumen, Communication Skills, Analytical Skills, AI Innovation, Risk Management, Product Roadmap, Data Science, Engineering, DevOps, Sales Collaboration

Industry

Software Development

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 looking for an AI Engagement Manager to drive the successful delivery of Enterprise AI solutions for the world’s largest organizations. As an AI Engagement Manager, you’ll own the end-to-end solution lifecycle—designing, deploying, and scaling AI applications that deliver measurable business impact. You’ll collaborate with C-suite executives, lead cross-functional teams, and shape AI strategies that transform entire industries. Expect regular customer interaction and travel to client sites (up to weekly). AI Engagement Managers work on highly impactful projects. Examples include: Generative AI to streamline global manufacturing planning for one of the world’s largest manufacturers. AI/ML to optimize agricultural yields for a leading global sugar producer. Predictive maintenance to maximize uptime for a top building materials company. Forecasting and raw-material optimization for a major process manufacturer. Responsibilities: Define High-Value Use Cases by partnering with senior executives at Fortune 500 companies to identify and scope impactful AI opportunities. Deliver Measurable Value by establishing and tracking economic impact metrics to ensure success. Advise on future AI roadmaps and partner with Sales to grow customer adoption. Translate complex business requirements into technical specifications and detailed project plans. Manage multi-disciplinary teams (Data Science, Engineering, Product, DevOps) to deliver cutting-edge AI applications. Anticipate risks, remove obstacles, and ensure smooth execution. Shape the Product Roadmap by gathering Insights from these strategic customer engagements and directly influence C3 AI’s long-term product strategy, driving innovation and scalability across the platform. Run project governance, status reviews, and executive updates. Qualifications: Bachelor’s in Computer Science, Engineering, Math, or related field; advanced degree (MBA or technical Master’s) preferred. 4+ years in consulting, product delivery, or enterprise transformation with exposure to AI/ML. Strong business acumen and technical fluency. Proven ability to lead customer engagements and cross-functional teams. Exceptional communication and presentation skills. Familiarity with sectors like tech, energy, finance, healthcare, manufacturing, or public sector. Analytical, customer-focused, and passionate about AI innovation. C3 AI provides excellent benefits and a competitive compensation package. Candidates must be authorized to work in the United States without the need for current or future company sponsorship. 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.

Responsibilities

The AI Engagement Manager will define high-value use cases and deliver measurable value by tracking economic impact metrics. They will manage multi-disciplinary teams to deliver AI applications and shape the product roadmap based on customer insights.