This role pays more than
94%
of similar roles. Most pay
$148,875–$222,000
— the shaded band above.
At the midpoint, this role pays about
$258k
versus about
$185k
for comparable roles.
Based on 240 similar postings.
Employer
About Ramp
Ramp is a corporate spend management platform providing corporate cards, expense management, and accounts payable automation tools to help businesses control spending and operate more efficiently. Industry: Financial Technology & Corporate Spend Management
Ramp currently has
34 open roles
on FindRole.
Listed pay typically runs
$168,000–$297,330
across 34 roles with salary data.
As an AI Solutions Engineer, you will join a new business unit as one of the first technical sellers focused on converting complex AI products into closed revenue. You will manage the full sales cycle for a portfolio of AI-powered applications, agents, and infrastructure designed to help finance teams manage spend with better security and cost efficiency. Your daily responsibilities include leading discovery sessions, building executive-level business cases involving ROI and total cost of ownership, delivering tailored demonstrations, and navigating technical hurdles regarding APIs, data governance, and model routing. You must possess technical fluency in modern AI systems, including an understanding of trade-offs between quality, cost, and latency. This role requires strong commercial judgment to translate complex capabilities into measurable business outcomes while building the go-to-market playbook for these emerging technologies.
Manage a revenue quota by leading AI product opportunities from initial discovery through final purchase.
Conduct deep discovery with technical and business stakeholders to identify goals, workflows, and pain points.
Translate complex AI infrastructure and applications into compelling narratives tied to measurable business outcomes.
Build executive-level business cases including ROI and total cost of ownership analyses to justify investments.
Deliver tailored demonstrations, technical workshops, and proofs of concept with clear success criteria.
Navigate technical discussions regarding APIs, data governance, security, and model capabilities with engineering and IT teams.
Create reusable sales plays, messaging, and assets to build the go-to-market motion for new products.
Provide structured market feedback to internal product and engineering teams to improve the customer experience.
What we're looking for
5+ years of experience in Solutions Engineering, Solutions Consulting, technical sales, Solutions Architecture, enterprise software sales, or a related customer-facing role.
Direct quota-carrying or deal-closing ownership of the pre-sale cycle.
A track record of independently influencing and winning complex B2B sales opportunities with clear revenue accountability.
Strong discovery and value-selling skills to connect technical capabilities to measurable business outcomes.
Demonstrated ability to build executive-level business cases, including ROI and total cost of ownership analyses.
Technical fluency in modern AI systems, including model capabilities, APIs, integrations, data flows, security, governance, and performance tradeoffs.
Excellent executive communication and presentation skills to explain complex concepts to diverse audiences.
Experience selling AI infrastructure, applications, developer tools, or finance technology (preferred); experience launching new products or developing go-to-market motions (preferred).
Generative AI
LLM
Retrieval-Augmented Generation
Agentic Workflows
API Integration
JSON
ChatGPT
Claude
Gemini
Microsoft Copilot
Model Context Protocol
Prompt Design
SOC2
ISO 27001
GDPR
Artificial Intelligence
Large Language Models
Natural Language Processing
AI Agents
Machine Learning
Computer Vision
Edge AI
Python
C#
Java
JavaScript
C++
Azure
AWS
OCR
SDLC
Agile
DevOps
Data Pipelines