The ad says“Strong grounding in corporate finance / controllership workflows, including accounting close, spend governance/controls, budgeting, procurement, and AP operations”
The ad says“Exposure to AI-enabled products, automation, or applied ML (you do not need to be an ML engineer)”
The ad says“Strong grounding in corporate finance / controllership workflows, including accounting close, spend governance/controls, budgeting, procurement, and AP operations”
The ad says“Basic comfort with data concepts and systems integration (APIs, ETL, SQL, spreadsheets, data quality)”
The ad says“Exposure to AI-enabled products, automation, or applied ML (you do not need to be an ML engineer)”
The ad says“Exposure to AI-enabled products, automation, or applied ML (you do not need to be an ML engineer)”
The ad says“Strong grounding in corporate finance / controllership workflows, including accounting close, spend governance/controls, budgeting, procurement, and AP operations”
The ad says“Experience in solutions, implementation, product strategy, consulting, or technical program management”
The ad says“Experience translating finance requirements into system design and configuration (e.g., ERP/accounting, procurement, expense management, payments), including integrations, data mapping, and controls”
The ad says“Experience translating finance requirements into system design and configuration (e.g., ERP/accounting, procurement, expense management, payments), including integrations, data mapping, and controls”
The ad says“Basic comfort with data concepts and systems integration (APIs, ETL, SQL, spreadsheets, data quality)”
The ad says“Experience translating finance requirements into system design and configuration (e.g., ERP/accounting, procurement, expense management, payments), including integrations, data mapping, and controls”
The ad says“Basic comfort with data concepts and systems integration (APIs, ETL, SQL, spreadsheets, data quality)”
The ad says“Experience translating finance requirements into system design and configuration (e.g., ERP/accounting, procurement, expense management, payments), including integrations, data mapping, and controls”
The ad says“Familiarity with finance operations workflows (AP, procurement, expenses, cards, accounting close)”
The ad says“Experience in solutions, implementation, product strategy, consulting, or technical program management”
The ad says“Experience translating finance requirements into system design and configuration (e.g., ERP/accounting, procurement, expense management, payments), including integrations, data mapping, and controls”
The ad says“Experience translating finance requirements into system design and configuration (e.g., ERP/accounting, procurement, expense management, payments), including integrations, data mapping, and controls”
The ad says“Experience in solutions, implementation, product strategy, consulting, or technical program management”
The ad says“Experience in solutions, implementation, product strategy, consulting, or technical program management”
The ad says“Strong grounding in corporate finance / controllership workflows, including accounting close, spend governance/controls, budgeting, procurement, and AP operations”
The ad says“Basic comfort with data concepts and systems integration (APIs, ETL, SQL, spreadsheets, data quality)”
The ad says“Basic comfort with data concepts and systems integration (APIs, ETL, SQL, spreadsheets, data quality)”
The ad says“Experience in solutions, implementation, product strategy, consulting, or technical program management”
The ad says“Ability to partner with finance system owners/admins to drive change management, testing (UAT), and successful rollouts”
As an AI Solutions Strategist, you will sit at the intersection of customers, AI delivery, and Ramp’s core product teams
You will partner with enterprise/strategic customers to deeply understand their finance workflows—especially corporate finance and controllership priorities like close, controls, and spend governance—identify high-impact opportunities for AI and automation, and translate those needs into clear problem statements, solution designs, and actionable feedback for Ramp’s Product, Engineering, and Go-to-Market teams
This role is for someone who can listen carefully, structure ambiguity, and turn on-the-ground learnings into scalable solutions
This role required high proactivity and bias to action
No two days are the same, but you can expect to:
Discover and diagnose customer needs
Run stakeholder interviews and workflow deep dives with Finance, Procurement, AP, and IT teams
Map end-to-end processes and pinpoint the “why” behind pain points (risk, cost, cycle time, compliance, exceptions)
Identify where AI can create leverage, including intelligent intake, classification, routing, matching, and exception handling
Translate needs into clear solution requirements
Turn qualitative input into crisp requirements: problem statements, success metrics, constraints, and acceptance criteria
Define deployment plans that balance speed, safety, and scalability (MVP → iteration → rollout)
Partner with customer teams to align on change management, operating model updates, and adoption plans
Partner with technical teams to implement AI-powered workflows
Work closely with Ramp Engineers and AI builders to design and ship solutions that meet real customer workflows
Help specify data inputs, integrations, and governance needs (system-of-records, policy rules, auditability)
Support evaluation of models and prompts against customer-specific edge cases and risk tolerance
Drive feedback loops into Ramp’s core product
Synthesize learnings across customers into reusable patterns and product opportunities
Write high-signal briefs for Product and Engineering: what customers need, why it matters, and what to build next
Advocate for scalable solutions that reduce custom work over time
Communicate impact and guide executives
Present status, outcomes, and recommendations to audiences ranging from operators to execs
Quantify impact (time saved, error reduction, improved compliance, faster close) and connect it to business outcomes
Create simple narratives, demos, and artifacts that make AI workflows understandable and trustworthy
Benefits
Comprehensive medical, dental, and vision insurance
One Medical Membership
401(k) including an employer match
Monthly wellness stipend
Parental leave
Unlimited PTO
Pet Insurance
WFH stipend
Relocation support to move to NYC
Preferred experience
Exposure to AI-enabled products, automation, or applied ML (you do not need to be an ML engineer)
Comfort operating in ambiguity and iterating quickly while keeping quality high
Experience in solutions, implementation, product strategy, consulting, or technical program management
Experience translating finance requirements into system design and configuration (e.g., ERP/accounting, procurement, expense management, payments), including integrations, data mapping, and controls
Strong customer empathy and the ability to earn trust quickly with senior stakeholders
Ability to communicate clearly in writing (briefs, requirements, postmortems) and verbally (workshops, exec readouts)
A builder mindset: you like shipping, learning, and improving the system
Basic comfort with data concepts and systems integration (APIs, ETL, SQL, spreadsheets, data quality)
Ability to partner with finance system owners/admins to drive change management, testing (UAT), and successful rollouts
Excellent problem framing: you can turn messy workflows into clear systems and priorities
Strong grounding in corporate finance / controllership workflows, including accounting close, spend governance/controls, budgeting, procurement, and AP operations
