About Ramp
At Ramp, we’re rebuilding how modern finance teams function in the age of AI. We believe AI isn’t just the next big wave. It’s the new foundation for how business gets done. We’re investing in that future — and in the people bold enough to build it.Ramp is a financial operations platform designed to save companies time and money. Our all-in-one solution combines payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping with built-in intelligence to maximize the impact of every dollar and hour spent.
But we’re not just building features powered by AI. We’re building a platform where it’s agents who chase receipts, close books, flag risks, and surface insights. That way, teams can reclaim their time and reinvest in what actually matters.More than 40,000 businesses, from family-owned farms to e-commerce giants to space startups, have saved $10B and 27.5M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over $80 billion in purchases each year.Ramp’s investors include Thrive Capital, Sands Capital, General Catalyst, Founders Fund, Khosla Ventures, Sequoia Capital, Greylock, and Redpoint, as well as over 100 angel investors who were founders or executives of leading companies.
Ramp has been named to Fast Company’sMost Innovative Companies list and LinkedIn’sTop U.S. Startups for more than 3 years, as well as the ForbesCloud 100, CNBCDisruptor 50, and TIME Magazine’s 100Most Influential Companies.
About the Role
We are fundamentally an engineering-driven company, and as we enter our next chapter, we're investing deeply in AI-native products to reshape how software empowers businesses. We believe in building full-stack, vertically integrated solutions that redefine financial workflows through automation, agents, and intelligent interfaces.We’re looking for an experienced AI Product Engineer to join our early efforts in reimagining core Ramp experiences through an AI-first lens. This role is ideal for a builder who thrives at the intersection of AI capabilities and product experience — someone excited to craft intelligent, user-facing features from the ground up and push the boundaries of what’s possible with LLMs and agentic workflows.You’ll work alongside product, engineering, and design to build novel customer-facing products and AI-powered internal tooling.
This is a highly cross-functional role with high ownership, a fast feedback loop, and deep impact on how Ramp’s customers work.Check out our Engineering Blog for more on our tech stack, mission, and values!
What You’ll Do
- Architect and ship new AI-native product experiences across Ramp, from 0→1 prototypes to scaled production systems
- Build LLM-powered agents that autonomously reason through complex workflows
- Contribute to our evolving AI product stack: prompt orchestration, context engineering, evals, embeddings, and retrieval systems
- Develop full-stack product surfaces (backend & frontend) that incorporate AI into user experiences
- Collaborate closely with AI platform, infra, and design to push the capabilities of our internal and external tooling
- Stay on the bleeding edge of the AI ecosystem (tools like Claude Code, Cursor, OpenAI Agent SDK, MCPs, etc.) and identify where and how we can adopt emerging techniques
- Influence Ramp’s broader AI product strategy and technical vision
What You'll Need
- 2+ years of software engineering experience, including time spent building production-grade full-stack systems
- Demonstrated experience building AI-powered product features
- Fluency with modern LLM platforms and AI-assisted engineering tools (e.g., Cursor, Claude Code), with a bias toward rapid experimentation and a working knowledge of prompt engineering, retrieval, and orchestration
- Strong backend fundamentals (Python, Postgres, etc.)
Nice to Haves
- Experience building or scaling AI-native workflows, agents, or dev tooling (e.g., Modal, Turbopuffer, OpenAI Agent SDK)
- Familiarity with the AI development stack (RAG, vector databases, LLM observability, eval pipelines)
- Familiarity with the best AI products and the UX paradigms
- A deep interest in being an early adopter of the best AI products and bringing their learnings into Ramp
- Frontend experience using React/Next.js
- Exposure to Ramp’s backend technologies or interest in learning them: Flask, SQLAlchemy, Postgres, Celery, and Temporal
- Prior startup experience or track record of building 0→1 product experiences in fast-paced environments
Benefits (for U.S.-based full-time employees)
- 100% medical, dental & vision insurance coverage for you
- Partially covered for your dependents
- One Medical annual membership
- 401k (including employer match on contributions made while employed by Ramp)
- Flexible PTO
- Fertility HRA (up to $5,000 per year)
- WFH stipend to support your home office needs
- Wellness stipend
- Parental Leave
- Relocation support to NYC or SF
- Pet insurance
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Ramp Applicant Privacy NoticeCompensation Range: $161.5K - $339.5K
