AI Engagement Manager / Director

The AI Engagement Manager / Director at C3 AI is responsible for overseeing the entire solution lifecycle. This includes collaborating with customers to create compelling AI use cases, converting business requirements into detailed project plans, leading teams across various disciplines, and managing project governance activities to ensure successful deployment and adoption of AI solutions.

C3 AI looks for candidates with a Bachelor’s degree in fields like Computer Science or Engineering, with an Advanced degree or MBA being preferred. Additionally, applicants should have 6 to 15 years of experience in business consulting and product management, particularly with enterprise SaaS solutions, and a solid understanding of AI/ML, data science, and cloud infrastructure.

The AI Engagement Manager / Director is pivotal in driving customer success by employing a customer-centric approach. Their role involves advising stakeholders on future use case roadmaps, enhancing customer retention and expansion, and developing high-quality communications that foster trusted relationships between customers and C3 AI.

Success in the AI Engagement Manager role at C3 AI hinges on a mix of strategic consultancy, product management, and excellent communication skills. Candidates should be able to navigate technical and business realms easily, anticipate and manage stakeholder needs, as well as quantify value metrics from AI solutions.

The AI Engagement Manager / Director role at C3 AI involves an average travel requirement of about 20%. This travel primarily includes visits to customer sites to ensure successful engagement and solution implementation.

When discussing your AI/ML experience, focus on specific projects where you have led the implementation of AI solutions. Mention the technologies you used, the challenges you faced, and the outcomes achieved to demonstrate your capability in delivering tangible results.

In crafting an AI use case, start by understanding the client's business challenges and objectives. Gather data, collaborate with stakeholders, and outline potential solutions. Then, translate these insights into structured use cases that detail the expected business impact.

In such scenarios, it's essential to demonstrate your effective communication and problem-solving skills. Share a specific example, outline the conflict, your approach to understanding differing viewpoints, and how you worked towards a mutually beneficial resolution.

Highlight methodologies like Agile or Scrum that you use for project governance. Discuss how you implement regular status reviews, manage project plans, and maintain clear communication channels to keep stakeholders informed and involved throughout the project lifecycle.

Success metrics can vary, but emphasize the importance of quantifiable KPIs that align with business objectives, such as cost reductions, efficiency improvements, or revenue growth. Discuss how you track these metrics post-implementation to ensure long-term value.

Mention specific project management tools you are proficient in, such as JIRA, Trello, or Asana. Explain how you utilize these tools to plan sprints, track progress, and facilitate collaboration among diverse teams within AI projects.

Discuss your preferred methods for fostering communication, such as regular team meetings, collaborative platforms like Slack or Microsoft Teams, and transparent reporting. Emphasize the importance of an open communication culture in a diverse team environment.

Address common challenges like data quality issues, talent shortages, or changing project scopes. Discuss proactive measures such as thorough data assessments and agile project management practices to navigate these challenges effectively.

Client retention and expansion strategies should include building strong relationships through consistent communication, demonstrating value through measurable outcomes, and seeking feedback to tailor solutions to evolving client needs.

Share your insights on trends like automation, predictive analytics, and customer personalization, and how C3 AI can harness these opportunities to deliver innovative solutions that meet the changing demands of businesses.