Cresta Solutions Engineer, AI Agent (Enterprise) at Cresta serving as the AI Agent technology expert to support sales and technical discovery. Lead workshops, demos, and API discovery to drive AI Agent opportunities and build business cases.
Responsibilities
As an Enterprise AI Agent Solutions Engineer, you will serve as the dedicated expert on AI Agent technology, a specialist resource who engages early in the sales cycle to drive and support AI Agent opportunities alongside our Core Solutions Engineering team. You bring expertise that Core SE's can pull in at the right moments, owning the AI Agent technical narrative end-to-end: from workshop facilitation and use case design through high-stakes demos and API discovery. You are a force multiplier who makes every AI Agent opportunity stronger.
Be the AI Agent expert. Serve as the go-to internal and external expert on Cresta's AI Agent capabilities, engaging early in the sales process to establish technical credibility and accelerate opportunity velocity.
Work hand-in-hand with Core SEs. Partner closely with Core SEs as the AI Agent specialist, owning the AI Agent technical narrative.
Lead AI Agent workshops. Design and facilitate technical discovery workshops with prospective customers to explore AI Agent use cases, define implementation scope, and align on a path to value, translating business problems into agent-powered solutions.
Own use case and API discovery. Lead deep-dive technical discovery sessions to surface, propose, and refine AI Agent use cases. Evaluate integration requirements and API feasibility to give the deal a solid technical foundation.
Support high-stakes AI Agent demos. You step in to own the most complex and high-stakes AI Agent demonstrations in partnership with the Core SE team.
Engage early as a specialist resource. Enter opportunities early, helping to qualify and shape AI Agent deals before proof-of-value, bringing depth and structure to the technical conversation from the start.
Build the business case. Partner with Sales Directors and Core SEs to translate AI Agent solutions into financial ROI models, contributing to ROI workshops and framing the business case in terms that resonate with economic buyers.
Partner with FDX. Collaborate closely with Forward Deployed PMs and Engineers in both directions, ensuring smooth handoff from pre-sale to deployment and pulling FDX learnings on agent performance, edge cases, and customer outcomes back into pre-sale positioning and discovery.
Close the product feedback loop. Synthesize patterns from AI Agent opportunities and provide structured feedback to Product and Engineering, accelerating Cresta's roadmap to stay ahead of enterprise demand.
Elevate the SE team's AI Agent fluency. Share expertise across the broader SE organization through enablement, playbooks, and informal coaching, raising the team's collective capability.
Qualification
Hands-on experience designingPractical understanding of APIsExperience with Conversational AIHighly organizedAbility to write Python for prototypingFamiliarity with SalesforceYou embody our core values
Required
5+ years in a customer-facing technical role, with at least 3–5 years in pre-sales selling to large enterprises
Hands-on experience designing, building, or selling AI Agents or agentic AI systems, including familiarity with agent frameworks, orchestration patterns, and LLM-based architectures
Practical understanding of APIs, integration patterns, and how enterprise systems connect to AI Agent workflows
Experience with Conversational AI, contact center platforms, or voice/chat automation technologies
Demonstrated ability to make complex AI concepts accessible, translating technical depth into clear business value for both technical and non-technical stakeholders
Natural workshop facilitator and collaborator, equally comfortable whiteboarding with a prospect's engineering team and presenting to a C-suite audience
Highly organized, meticulous in preparation, and relentlessly focused on delivering excellent prospect experiences
Resourceful problem-solver who can navigate ambiguity, rally internal support, and drive complex technical conversations to a clear outcome
Ability to write Python for prototyping, scripting, or demo customization is a plus
Familiarity with Salesforce.com and enterprise contact center technologies is a plus
