Senior Enterprise AI Sales Engineer

Remote Jobs; Sunnyvale (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

eGain is a leader in AI knowledge management platforms, enabling enterprise AI transformations. The role focuses on partnering with account executives to qualify opportunities and drive enterprise deals, using AI-driven demos and proofs of concept to illustrate business value.

Ideal candidates have 5–10 years in enterprise SaaS sales engineering, strong executive presence, and hands-on API/MCP experience. The position emphasizes AI-first work practices and scalable automation.

Qualifications

• 5-10 years of experience as a sales engineer or solutions consultant in enterprise SaaS.
• Executive presence and AI credibility to engage senior leaders on generative and agentic AI (LLMs, RAG, agents, guardrails, governance).
• Hands-on understanding of APIs, Model Context Protocol (MCP), and integration patterns, with the ability to explain them clearly to any audience.
• AI-first way of working, with a track record of using AI tools to automate and scale sales engineering work.

Responsibilities

• Partner with Account Executives to qualify opportunities, shape deal strategy, and win enterprise deals.
• Lead technical discovery and demonstrate customer use cases with tailored, outcome-driven demos.
• Design and run proofs of concept with clear success criteria to prove business value.
• Use AI tools and automation to speed up research, demo builds, RFP questionnaire responses, and account planning.

Skills

Enterprise SaaS

Sales engineering

Executive presence

AI credibility

APIs

MCP

Integration patterns

Tools

APIs

Model Context Protocol

Job description

eGain is a leader in AI knowledge management platforms, enabling enterprise AI transformations. The role focuses on partnering with account executives to qualify opportunities and drive enterprise deals, using AI-driven demos and proofs of concept to illustrate business value.

Ideal candidates have 5–10 years in enterprise SaaS sales engineering, strong executive presence, and hands-on API/MCP experience. The position emphasizes AI-first work practices and scalable automation.