Ramp
AI Solutions Engineer
New York, NY (HQ) · Senior · Full-time
Sponsorship not specifiedDetected 9 days ago
SalesProcurementCommunication
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Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Your job is to turn technically complex AI products into closed revenue.
- 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.
- 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.
- Build relationships with champions and decision-makers across Engineering, IT, Security, Finance, Operations, Procurement, and executive leadership.
- Partner with Account Executives and collaborate with Product, Engineering, Security, Marketing, and post-sales teams to remove deployment blockers and deliver a strong customer experience from evaluation through production.
- Turn early customer conversations into repeatable messaging, demonstrations, qualification criteria, value stories, and sales plays as we build this go-to-market motion from the ground up.
Requirements
- 5+ years of experience in Solutions Engineering, Solutions Consulting, technical sales, Solutions Architecture, enterprise software sales, or a related customer-facing role.
Nice to have
- Experience selling AI infrastructure, AI applications or agents, developer tools, data platforms, security products, finance technology, or workflow automation software.
- 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.
- Budget for intra-office travel
- 401(k), including employer match on contributions made while employed by Ramp
- Virtual GP and at-home care via eMed x Livi
- If you are being referred for the role, please contact that person to apply on your behalf.
Compensation
- Fertility HRA (up to $10,000 per year)
Benefits
- Centralized home-office equipment ordering
- Health and wellness stipend
- Weekly coffee stipend
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- Relocation expense coverage to NYC or SF (if needed)
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
Company info
- Help customers identify high-value use cases, set realistic expectations, and establish a credible path from evaluation to production.
- Apply strong commercial judgment to qualify opportunities, create urgency, address objections, identify risk, and keep customers moving toward a decision.
- Lead customers through implementation after purchase, including deployment planning, stakeholder alignment, workflow design, technical coordination, enablement, and adoption.
This listing is sourced directly from Ramp's careers page and normalized into a canonical job model.