Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the RoleCompanies are adopting AI across more teams, but most still struggle to produce real workflows, measurable outcomes, and efficient spend. Ramp’s AI Solutions team helps customers turn that spend into working systems: agents, automations, and integrations that run real finance operations, built on top of Ramp’s growing AI product stack, including Glass, Inspect, Router, and Token Spend Management.
As a software engineer on AI Solutions, you'll co-lead customer engagements with an AI Solutions Strategist while also helping turn repeated customer needs into platform capabilities across Ramp’s AI product stack. The Strategist owns business discovery, the ROI story, stakeholder alignment, and rollout planning. You own the technical side: discovery, solution design, prototyping, implementation, production readiness, and the product feedback loop back into our platform and AI primitives.
This is a deeply client-facing, hands-on building role based in New York, with occasional travel depending on engagements. You'll take projects from a customer's first workflow-discovery sessions through launch and into steady, measurable production use — then turn what you learned into reusable product patterns the next customer can adopt without starting from zero.
What You'll DoShip production AI workflows for the companies we partner with — agents, automations, and integrations their teams use every day.
Translate customer work into platform work by identifying needs across deployments and helping improve Ramp’s AI primitives.
Make the next deployment easier by turning customer specific work into reusable components, product feedback, reference architectures, and playbooks.
Run technical discovery with customers: current workflows, systems, data quality, constraints, and what's blocking adoption.
Turn customer goals into concrete requirements, including security, privacy, reliability, performance, scalability, and cost.
Prototype fast with end users to de-risk the approach before you build it out.
Own the technical plan end to end: architecture and data flow, integrations across Ramp and customer systems, permissions and auditability, evals and acceptance tests, and monitoring and runbooks.
Measure what you ship — quality, adoption, and cost — and stay with it until it's reliable, supportable, and handed off.
A track record of building from 0 to 1 in ambiguous environments: finding the real problem, shipping a first version quickly, learning from users, and hardening it over time.
Hands-on experience building LLM systems — agents, RAG, evals, and monitoring — and sound judgment on trade-offs like quality, latency, cost, and model choice.
Strong coding ability in Python, TypeScript/JavaScript, Java, Go, or similar.
Comfort working across APIs, integrations, data pipelines, and cloud infrastructure (AWS, GCP, or Azure), and designing systems that are secure and scale.
Experience working directly with customers or end users: you can scope an ambiguous problem with a room of stakeholders and write clear technical docs afterward.
Strong written communication. You can produce technical plans, customer facing explanations, handoff docs, and clearly explain tradeoffs.
Willingness to travel up to ~50%, flexible based on project and customer needs.
Nice to have
Background in forward deployed engineering, solutions architecture, technical consulting, or sales engineering.
Familiarity with finance operations workflows such as AP, procurement, expenses, close, reconciliation, and reporting.
Experience turning repeated customer needs into reusable product primitives, internal tools, or implementation playbooks.
Experience optimizing AI cost or performance, such as model routing, caching, or token spend analysis.
Flexible PTO
Centralized home-office equipment ordering
Health and wellness stipend
Budget for intra-office travel
Weekly coffee stipend
100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
One Medical annual membership
401(k), including employer match on contributions made while employed by Ramp
Fertility HRA (up to $10,000 per year)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
Pet insurance
In-office perks: lunch, snacks, drinks, and more
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
Private medical insurance through Freedom Elite
Virtual GP and at-home care via eMed x Livi
Workplace pension through Penfold, with salary sacrifice option
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
If you are being referred for the role, please contact that person to apply on your behalf.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice
Skills Required
- Experience shipping production software in high-ownership environments
- Ability to work directly with enterprise customers from discovery through production implementation
- Experience in solutions architecture, technical consulting, forward deployed engineering, or pre-sales engineering
- Strong fundamentals in ML/GenAI, including problem decomposition, evaluation, and deployment trade-offs
- Strong coding ability in at least one of: Python, TypeScript/JavaScript, Java, Go
- Ability to design secure, scalable systems and produce clear technical documentation
- Comfort working across APIs, integrations, data pipelines, customer systems, and cloud infrastructure
- Experience with cloud architecture on AWS, GCP, or Azure, and distributed systems patterns
- Experience building LLM systems, including RAG, agents, monitoring, and evals
- Willingness to travel up to ~75% as needed
- Familiarity with finance operations workflows such as AP, procurement, expenses, reconciliation, and reporting
Ramp Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ramp and has not been reviewed or approved by Ramp.
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Pay Growth & Progression — Compensation is often characterized as competitive or high, with meaningful upside in engineering, sales, and other performance-oriented roles. Equity and performance pathways are described as part of total rewards, indicating potential for growth.
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Healthcare Strength — Coverage includes 100% employer-paid medical, dental, and vision for employees along with One Medical membership. These elements point to comprehensive core health benefits.
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Wellbeing & Lifestyle Benefits — Monthly wellness stipends and wellness app memberships, plus WFH, transit, pet-insurance, and relocation support, extend the package beyond basics. These additions suggest strong support for daily wellbeing and remote/hybrid needs.
Ramp Insights
What We Do
Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. More than 10,000 customers cut their expenses by 3.5% per year and closing their books 8x faster by switching to the Ramp platform. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow at an increasingly large scale, more than doubling its revenue run rate in the first half of 2022. Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp was named Fast Company’s most innovative finance company in 2022.
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