- B2B
- Public StagePublicly traded company
- Top InvestorsThis company has received a significant amount of investment from top investors
- +2
AI Engagement Manager / Senior AI Engagement Manager
- Full Time
Not Available
Suzanna Gagnier
About the job
C3 AI is seeking highly skilled individuals with experience managing the creation of complex enterprise AI solutions and a track record of driving tangible business value and outcomes for customers. Expertise and experience in 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, Aerospace and Defense, Oil & Gas, Financial Services, Life Sciences, Healthcare, Telecommunications, and High Tech.
The AI Engagement Manager / Senior AI Engagement Manager collaborates with executive stakeholders to define use cases, transform them into specifications, leads solution development towards launch, drives adoption and ensures realization of business value.
The AI Engagement Manager / Senior AI Engagement Manager also works across internal and external teams to identify product opportunities and expands C3 AI solutions within customers’ organizations. 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 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 (10% 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 -10 years consulting, product and/or delivery management experience with enterprise SaaS solutions.
- Experience leading customer engagements with substantial exposure and involvement with 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.
C3 AI provides a competitive compensation package and excellent benefits.
About the company
C3.ai
- B2B
- Public StagePublicly traded company
- Top InvestorsThis company has received a significant amount of investment from top investors
- 4.8Highly ratedC3.ai is highly rated on Glassdoor, with 4.8 out of 5 stars
- 4.8Strong LeadershipEmployees rate C3.ai 4.8/5 on Glassdoor for faith in leadership