Cresta
Solutions Engineer, AI Agent
About this role
Cresta seeks a Principal Solutions Engineer specializing in AI Agent technology to drive enterprise sales opportunities. You'll be the go-to expert on Cresta's AI Agent capabilities, partnering with the core SE team to lead technical discovery, complex demos, and use case design while translating AI solutions into business value for Fortune 500 customers.
What you'll do
- Serve as the primary internal and external AI Agent expert, establishing technical credibility early in the sales cycle
- Design and facilitate technical discovery workshops to identify AI Agent use cases and define implementation scope with prospects
- Lead deep-dive sessions on use case refinement and API feasibility assessment to validate technical viability
- Own high-stakes AI Agent demonstrations in complex, competitive deals alongside the Core SE team
- Build financial ROI models and business cases translating agent solutions into quantified customer value
- Close feedback loops between pre-sales and product/engineering teams to inform roadmap priorities
What they're looking for
- AI Agent design and architecture (frameworks, orchestration, LLM-based systems)
- Enterprise API integration and system connectivity patterns
- Conversational AI and contact center platform expertise
- Technical workshop facilitation and whiteboarding
- Complex technical concept translation for executive and technical audiences
- Python for prototyping and demo customization
- Salesforce.com and enterprise contact center technologies
- ROI modeling and business case development
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Cresta
Cresta builds AI-powered solutions for contact centers, including conversation intelligence, coaching, analytics, and virtual agent capabilities. The company is hiring Strategic Solutions Engineers, GTM Engineers, Demo Engineers, and Customer Engineers to help enterprise clients implement and optimize these AI-driven customer experience platforms.
- Website
- cresta.com
Likely interview questions
- Walk us through a time you sold or architected an AI Agent solution—what was the use case, and how did you position it to the customer?
- How do you approach translating a complex AI Agent architecture into language that resonates with both a prospect's CTO and their CFO?