AI Solutions Engineer

Ramp
New York, NY, USA / San Francisco, CA, USA / Canada2026-08-27Hybrid

About the job

Ramp is building a new AI business, and you’ll be one of its first technical sellers. Your job is to turn technically complex AI products into closed revenue. You’ll sell a growing portfolio spanning AI-powered applications and agents for finance teams, as well as infrastructure that helps companies deploy and manage AI with greater control, security, and cost efficiency. This is a product-focused, quota-carrying technical sales role. You’ll help customers evaluate and purchase Ramp’s AI products, translating complex capabilities into clear business value and guiding opportunities from discovery through close.

Responsibilities

- Carry a revenue quota and own the progression of AI product opportunities from initial discovery through purchase, ensuring business value is clear, technical requirements are validated, and obstacles to a decision are resolved.

- Lead discovery with business and technical buyers to understand their goals, workflows, challenges, decision criteria, existing systems, and AI strategy.

- Translate Ramp’s AI applications and infrastructure into compelling solution narratives tied to measurable business outcomes.

- Build ROI and total cost of ownership analyses that quantify the value of Ramp’s AI products and create executive-level justification for investment.

- Deliver tailored demonstrations, technical workshops, and proofs of concept with clear success criteria that establish value and build confidence in a purchase decision.

- Navigate questions related to APIs, integrations, model capabilities and limitations, data flows, architecture, privacy, security, governance, implementation, and tradeoffs among quality, cost, latency, and control.

Qualifications

Minimum

- 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—not only experience delivering demonstrations or supporting post-sale implementation.

- A track record of independently influencing and winning complex B2B sales opportunities with clear revenue accountability.

- Strong discovery and value-selling skills, with the ability 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 across modern AI systems, including applications and agents, model capabilities and limitations, APIs, integrations, data flows, security, governance, and tradeoffs among quality, cost, latency, and control.

Preferred

- Experience selling AI infrastructure, AI applications or agents, developer tools, data platforms, security products, finance technology, or workflow automation software.

- Experience helping launch a new product or develop an early go-to-market motion.

- Familiarity with AI gateways, model routing, usage controls, data governance, or enterprise AI deployment.

- Experience selling to developers, IT, Security, Finance, Operations, Procurement, or executive stakeholders.

- Experience creating reusable sales assets, demonstrations, value frameworks, or enablement programs.