AI Engagement Manager / 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 seeking highly skilled individuals with experience managing the creation and development of complex enterprise AI solutions, and a track record of driving tangible business value and outcomes for customers as a trusted advisor. Expertise and experience in business consulting, the full software development lifecycle, enterprise software, AI/ML, cloud deployments and data integration are required in addition to domain experience in one or more of the following industries: Manufacturing, High Tech, Agribusiness, Public Sector, Financial Services, Life Sciences, Healthcare and Telecommunications. 

The AI Engagement Manager / Director collaborates with executive stakeholders to define use cases, creates specifications, leads solution configuration and deployment at scale, drives adoption and ensures realization of business value. 

The AI Engagement Manager / Director also works across internal and external teams to identify growth opportunities, expands C3 AI solutions within customers’ organizations and influences the C3 AI product roadmap. This position requires a combination of skills including strategy consulting, product management, project management, facilitation/problem solving, stakeholder management, and proficiency in AI/ML methods.

Responsibilities: 

Successful candidates will oversee the entire solution life cycle and will own the following activities: 

• Collaborate with customers to craft compelling AI use cases that drive business value and translate use cases into detailed requirements.
• Turn business requirements into AI application features and capabilities, map use cases to granular team tasks, and produce detailed project work plans.
• Lead dedicated C3 AI teams comprising of Data Science, Application Development, Data Integration, Product Management and DevOps professionals.
• Work across internal teams to make necessary trade-offs between short-term customer deliverables and long-term product roadmaps items.
• Run project governance activities (project plans, weekly status reviews, cross-functional meetings, executive status reviews).
• Anticipate stakeholder needs, remove obstacles, track and address risks before they become issues and manage expectations. 
• Quantify and track value metrics that can be realized from C3 AI solutions.
• Advise executive customer stakeholders on future use case roadmaps and drive customer success and adoption with a focus on customer retention and expansion.
• Develop high quality and polished internal and external communications to influence customer and C3 AI success.
• Communicate effectively and proactively with customers to build trusted relationships.
• Travel to customer sites (20% average)

Qualifications: 

• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Operations Research or similar field; Advanced Engineering degree or MBA preferred. 
• Minimum of 6 - 15 years business consulting and product or 0 – 1 delivery management experience with enterprise SaaS solutions.
• Experience leading customer engagements with substantial exposure and involvement with AI/ML, data science, cloud infrastructure, solution architecture, application development, and data engineering. 
• Credible customer presence. Capable of communicating effectively and stepping into a trusted advisor role. 
• Strong customer orientation with a drive to build intimacy with users and their organizations’ needs.
• Data-driven, analytically oriented, with a commitment to process improvement. 
• Demonstrated ability to navigate between the business and technical domains of a software implementation project while providing leadership in both areas. 
• Excellent presentation and written communication skills with keen attention to detail.

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.