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Salary: USD 200,000 - 275,000 / annual
Cresta is an AI platform that combines conversational AI agents, real-time human agent augmentation, and conversation intelligence to drive revenue and efficiency across customer service channels. The company has raised over $270M from top-tier investors including a16z, Greylock, and Sequoia, and is led by the former head of Google's Contact Center AI.
As an Enterprise Solutions Engineer, you will be the technical bridge between Cresta's sales team and enterprise prospects. You will partner with Account Executives to understand customer technical requirements, conduct product demonstrations, and manage proof-of-concept exercises and pilots. Your role is to translate prospect use cases into technical solutions, demonstrate ROI, and help develop the business case during the sales cycle.
Key responsibilities include:
- Qualifying sales opportunities by converting customer requirements into Cresta technical requirements
- Leading discovery calls with prospects and internal cross-functional teams to build and deliver compelling product demos
- Providing insights from your experience in contact center and customer experience operations
- Driving adoption during proof-of-value phases by training managers and users on the Cresta solution
- Translating prospect use cases into technical solutions and demonstrating the path to ROI
- Running ROI workshops to develop financial business case proposals
- Providing feedback to product management on field successes and challenges
- Acting as liaison between sales, customers, and Cresta's technical teams
This is a variable target compensation role with potential to exceed target earnings when goals are surpassed. The role includes equity and a comprehensive benefits package.
Qualifications:
- 4+ years of experience in customer-facing roles, with 3–5 years in technical pre-sales supporting large enterprise sales cycles
- Deep hands-on expertise with Conversational AI and CCaaS platforms, with experience helping customers modernize contact center operations
- Strong work ethic, enthusiasm, and thoughtful engagement with clients and internal teams
- Meticulous preparation and presentation skills, always striving for perfection
- Natural problem-solver; resourceful in leveraging internal teams and cross-functional collaboration
- Fast learner with passion for new technology and talent for simplifying complexity for customers
- Experience with Salesforce.com, contact center infrastructure, and enterprise SaaS environments
Bonus qualifications:
- 2+ years of AI sales engineering experience
- Experience in a high-growth startup environment
