Cresta
Solutions Engineer, AI Agent (Strategic)
$220K–$275K
United States (Remote) +1 · Remote · Full-time · Posted Aug 20, 2026
- Location
- United States (Remote)
US (Remote) - Experience
- 5–7+ years in a customer-facing technical role, with at least 5 years in pre-sales selling to large enterprises; 2+ years of AI sales engineering experience is a bonus.
About the job
Serves as Cresta’s AI Agent specialist in enterprise sales, leading technical discovery, workshops, demos, API exploration, and business-case development with Core Solutions Engineers.
What you'll do
- Lead customer workshops and technical discovery to define AI Agent use cases, implementation scope, and integration/API feasibility.
- Own complex AI Agent demos and technical sales narratives, partnering with Core SEs and Sales Directors to qualify opportunities and develop ROI cases.
- Share opportunity insights with Product and Engineering, coordinate pre-sale handoffs with Forward Deployed teams, and build AI Agent fluency across the SE team.
What they ask for
- 5–7+ years in a customer-facing technical role, including at least 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
- 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
$220,000-$275,000 USD total pay (OTE; variable target compensation; offers equity)
Tools
Python, Salesforce.com, APIs, agent frameworks, orchestration patterns, LLM-based architectures, Conversational AI
AI focus
Supports pre-sales opportunities for AI Agents and agentic AI systems, including use-case design, technical discovery, demonstrations, integration feasibility, and product feedback.
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