Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ 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 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 RoleAs a software engineer on the AI Soltuions team, you will co-lead customer engagements with an AI Solutions Strategist. The Strategist owns business discovery, ROI narrative, stakeholder alignment, and rollout planning. The engineer owns technical discovery, solution design, prototyping, implementation, and production readiness.
This is a deeply client-facing role. You will spend significant time with customers and end users, moving projects from bootcamp and workflow discovery through implementation, launch, and steady production usage.
What You’ll DoTranslate customer goals into clear system requirements and non-functional requirements covering security, privacy, reliability, performance, scalability, and cost.
Partner directly with customers to understand current workflows, constraints, systems, data quality, and adoption blockers.
Create and maintain solution architecture artifacts:
System context and data flow diagrams
Integration plan across Ramp and customer systems
Security model covering permissions, access patterns, and auditability
Evaluation plan covering quality metrics, acceptance tests, and red-teaming
Operational plan covering monitoring, alerting, incident response, and runbooks
Leverage core Ramp primitives to build efficiently, reusing existing product capabilities wherever possible.
Prototype and validate workflows with end users to de-risk the approach and prove product-market fit.
Drive projects from bootcamp and technical discovery through implementation, production launch, and operational handoff.
Ensure deployed workflows are reliable, supportable, measurable, and adopted by customer teams.
Convert deployments into reusable patterns, components, and playbooks for future AI Solutions projects.
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, or similar.
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, flexible based on project needs and client needs
Nice to have: Familiarity with finance operations workflows such as AP, procurement, expenses, close, reconciliation, and reporting.
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 support to NYC or SF (as 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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Fair & Transparent Compensation — Fair & Transparent Compensation: Pay is positioned as competitive or top-of-market in core technical roles, with strong base pay and total compensation ranges cited for engineers and product roles. Compensation is also framed as including meaningful equity alongside salary, making offers feel compelling versus many startup benchmarks.
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Healthcare Strength — Healthcare Strength: Healthcare coverage is described as comprehensive, often including medical, dental, and vision, with additional primary-care access via a One Medical membership. The package is portrayed as above-average on employer coverage for employees, increasing perceived value of the benefits bundle.
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Retirement Support — Retirement Support: A 401(k) with an employer match is consistently included as a core benefit. Immediate or meaningful matching is presented as a concrete financial benefit that goes beyond a basic plan offering.
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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