AI Engagement Manager

As an AI Engagement Manager at EliseAI, your primary responsibilities include leading AI product onboarding and activation, driving business transformation through AI integration, managing strategic relationships with high-value customers, and creating scalable engagement playbooks. You'll also lead strategic business reviews that connect AI performance to client KPIs, while acting as a trusted advisor throughout the client’s journey.

To be considered for the AI Engagement Manager position at EliseAI, candidates should have a minimum of 4 years of experience in consulting or client strategy, preferably within tech or startup environments. A strong executive presence, analytical mindset, and comfort working in a fast-paced environment are vital, along with the ability to manage a substantial book of business exceeding $2.5 million ARR.

EliseAI boasts a dynamic and supportive company culture, especially for its AI Engagement Managers. The environment fosters collaboration and innovation, encouraging employees to think creatively while actively contributing to the company's growth. With open floor plans, company events, and a focus on team support, you will feel encouraged to share ideas and challenge the status quo.

An AI Engagement Manager at EliseAI plays a crucial role in delivering high-impact strategies that enable clients to harness AI for business transformation. By guiding customers through product launches and ensuring quick time-to-value, you'll help them streamline operations and improve overall capabilities, leading to meaningful improvements in their portfolio performance.

Working as an AI Engagement Manager at EliseAI comes with a competitive salary range of $90,000 to $120,000 along with options for equity in the company. Additional benefits include fully covered medical, dental, and vision premiums, unlimited vacation, parental leave, and a robust fitness stipend, in addition to being part of a supportive, growth-focused work culture.

When answering this question, explain the client’s initial challenges, outline the steps you took during the implementation, and emphasize the positive outcomes that resulted from your leadership. Use specific metrics to illustrate the success, and don't forget to mention how you managed client relationships throughout the process.

Discuss your method for gathering insights on client needs and industry trends. Explain how you balance standardized processes with customization, emphasizing collaboration with teams and feedback loops to ensure effectiveness. Highlight a specific example where this approach led to significant client success.

Focus on the key performance indicators (KPIs) you used to track success, such as operational efficiency, cost savings, or enhanced decision-making. Describe how you established these metrics with clients beforehand and the regular review processes you used to evaluate progress and make adjustments.

Share your philosophy on blending technical solutions with business needs. Provide examples of how you identified pain points within organizations and suggested data-driven solutions that integrate AI into daily workflows. Highlight the importance of continuous training and support to ensure that teams are well-equipped to adapt.

Talk about specific change management frameworks you've successfully applied. Describe a situation where you guided a client’s team through a transition, detailing how you helped them embrace new technologies and processes while addressing concerns and building trust.

Use this opportunity to share personal anecdotes about moments that sparked your interest in technology, especially AI. Describe how you see AI shaping industries for the better and your excitement about being part of such a transformative field that can drive real change.

Discuss your strategies for continuous learning, such as attending industry conferences, participating in webinars, following relevant publications, or engaging in professional networks. Highlight any certifications or courses you've completed that reinforce your commitment to staying ahead of trends.

Explain the importance of communication and transparency in building trust. Highlight techniques such as regular check-ins, personalized engagement, and soliciting client feedback. Provide a specific example of how your approach led to a long-term client partnership.

Outline your empathetic approach to addressing client concerns. Discuss how you would educate the client on the benefits of AI, provide case studies of successful implementations, and actively listen to their apprehensions to foster a collaborative dialogue aimed at facilitating their comfort.

Illustrate your process for understanding a client’s specific objectives and needs during initial discussions. Mention how you ensure that every AI integration is tailored to not only improve efficiency but also to enhance overall business strategy, with regular evaluations to ensure alignment.