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Ramp

Runs corporate cards and finance workflows

AI Solutions Strategist

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 4 years of relevant experience.
  • Strong customer empathy and the ability to earn trust quickly with senior stakeholders.
  • Strong problem framing skills, including turning ambiguous workflows into clear systems and priorities.
  • Ability to operate in ambiguity and iterate quickly while maintaining quality.
  • Ability to communicate clearly in writing through briefs, requirements, and postmortems, and verbally through workshops and executive readouts.
  • A builder mindset, with an interest in shipping, learning, and improving systems.
  • Experience in solutions, implementation, product strategy, consulting, or technical program management.
  • Strong grounding in corporate finance and controllership workflows, including accounting close, spend governance and controls, budgeting, procurement, and accounts payable operations.
  • Experience translating finance requirements into system design and configuration, including ERP/accounting, procurement, expense management, or payments systems; integrations, data mapping, and controls.
  • Ability to partner with finance system owners or administrators to drive change management, testing, including user acceptance testing, and successful rollouts.
  • Familiarity with finance operations workflows, including accounts payable, procurement, expenses, cards, and accounting close.
  • Exposure to AI-enabled products, automation, or applied machine learning; machine learning engineering experience is not required.
  • Basic comfort with data concepts and systems integration, including APIs, ETL, SQL, spreadsheets, and data quality.

Responsibilities

  • Run stakeholder interviews and workflow deep dives with Finance, Procurement, Accounts Payable, and IT teams.
  • Map end-to-end processes and identify underlying drivers of pain points, including risk, cost, cycle time, compliance, exception volume, and operational complexity.
  • Translate qualitative customer input into problem statements, success metrics, constraints, acceptance criteria, and deployment plans.
  • Balance speed, safety, and scalability across minimum viable products, iterations, and broader rollouts.
  • Work closely with Ramp engineers and AI builders to design and ship solutions that meet customer workflows.
  • Specify data inputs, integrations, governance needs, policy rules, auditability requirements, and edge cases.
  • Synthesize learnings across customers into reusable patterns and product opportunities.
  • Write briefs for Product and Engineering that explain customer needs, their importance, and what should be built next.
  • Present status, outcomes, and recommendations to customer operators, executives, and internal stakeholders.
  • Quantify impact through time saved, error reduction, improved compliance, faster close, and other business outcomes.
  • Spend time with customers to understand real workflows, including required travel.

About the Company

Ramp

Runs corporate cards and finance workflows

Ramp runs a financial operations platform for businesses and their finance teams, linking corporate cards with expense records and invoice payments. Finance teams use its software to collect receipts, approve spending and send transaction data to their accounting systems, while employees submit expenses through connected apps. Its Router service also directs AI requests across outside model providers, selecting models based on cost and performance. Customers use a free core plan or pay for broader software automation features, with partner banks issuing cards and providing deposit services. Ramp was founded in 2019 and has its headquarters in New York City.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$5.4B
Headquarters
New York City, New York
Founded
2019

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