Cresta
Solutions Engineer, AI Agent (Enterprise)
$225K–$265K
United States (Remote) +1 · Remote · Full-time · Posted Jul 23, 2026
- Location
- United States (Remote)
US (Remote) - Experience
- 5+ years in a customer-facing technical role, with at least 3–5 years in pre-sales selling to large enterprises; bonus: 2+ years of AI sales engineering experience.
About the job
Owns the AI Agent technical sales narrative for enterprise opportunities, from customer discovery and use-case design through demos, API feasibility, ROI framing, and handoff to deployment.
What you'll do
- Lead AI Agent discovery workshops, use-case design, and API/integration feasibility assessment with prospective customers.
- Partner with Core SEs and Sales Directors on early opportunity qualification, high-stakes demos, and ROI business cases.
- Share customer and deployment learnings with Product and Engineering, support pre-sale-to-deployment handoffs, and build AI Agent fluency across the SE team.
What they ask for
- 5+ years in a customer-facing technical role, including 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 enterprise systems connecting to AI Agent workflows.
- Experience with Conversational AI, contact center platforms, or voice/chat automation technologies.
Nice to have
- Ability to write Python for prototyping, scripting, or demo customization; familiarity with Salesforce.com and enterprise contact center technologies.
- 2+ years of AI sales engineering experience; experience in a high-growth startup environment.
Pay
$225,000-$265,000 USD total pay (OTE; variable and offers equity)
Tools
Python, Salesforce.com, APIs, agent frameworks, LLM-based architectures, Conversational AI
AI focus
Supports enterprise sales of Cresta AI Agents, including agent use-case discovery, technical demonstrations, integration assessment, and customer implementation planning.
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