Enterprise Solutions Engineer

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the role: As an Enterprise Solutions Engineer you will partner with Enterprise Account Executives to showcase the power of Cresta to potential customers. In this role you will provide technical insights and solutioning to stakeholders both internal and external by understanding customers technical requirements. You will conduct product demos, manage technical validation activities ( [... source excerpt omitted ...] ding proof-of-concept exercises and pilots), and ultimately help develop the business case for the prospect during the sales cycle. You also will act as liaison between sales, the customer and Cresta’s technical teams. Responsibilities: Qualify new sales opportunities by understanding customer requirements and converting it to Cresta technical requirements Partner with Enterprise Account Executives to discover and understand the prospect's situation and the challenges that they are experiencing Lead discovery calls with prospective customers & internal cross functional teams to build and deliver product demos. Solving problems for potential customers and demonstrating the val [... source excerpt omitted ...] r goals Run ROI workshops to translate our solution into a financial business case proposal Provide feedback to product management about the successes and failures in the field Qualifications We Value: 4+ years of experience in customer-facing roles, with 3–5 years in a technical pre-sales capacity supporting large enterprise sales cycles Deep hands-on expertise with Conversational AI and CCaaS platforms, helping customers modernize contact center operations Known for a strong work ethic, enthusiasm, and thoughtful engagement with clients and internal teams alike Desire to practice and prepare your presentation (or demo) meticulously, as you always strive for perfection Natural