AI Engagement Manager
3 days ago
C3.ai, Inc. (NYSE:AI) is a leading Enterprise AI software provider for accelerating digital transformation. The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement. 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, 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 configuration and deployment at scale, 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, 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 and specifications.
- Turn business requirements into AI application features and capabilities, map use cases to granular team tasks and produce detailed project work plans.
- Lead solution development with a team of engineers, architects, data scientists, product managers, QA and DevOps to deliver successful deployments.
- Work across internal teams to make necessary trade-offs between short-term customer deliverables and long-term product roadmaps items.
- 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)
- 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 business consulting and product or 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.
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