GTM Engineer

At Ramp, we’re rethinking 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 agents can chase receipts, close books, flag risks, and surface insights. This enables teams to reclaim their time and reinvest in what matters.

More than 40,000 businesses, from family-owned farms 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, among others, in addition to 100+ angel investors who have been founders or executives of leading companies.

Ramp has been named to Fast Company’s Most Innovative Companies list and LinkedIn’s Top U.S. Startups for more than 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine’s 100 Most Influential Companies.

Ramp is, at its core, an engineering company, and is on a mission to build the best engineering team. We are looking for backend engineers who are excited to be part of our early story and help us build a diverse and vibrant tech community. We hire engineers with a broad set of technical skills, who are highly cross-functional, and eager to solve a wide range of engineering challenges.

The growth engineering team empowers go-to-market teams with reliable data, tools, and automations to accelerate growth. By centralizing data ingestion, building scalable interfaces, and surfacing insights, we enable rapid experimentation, precise targeting, and seamless data activation. As a team at the intersection of engineering, data, and growth strategy, we tackle high-impact problems that form the foundation for efficient growth at Ramp.

Check out our Engineering Blog for more on our tech stack, mission and values!

• Build internal tools and systems to scale sales and marketing through AI assistance and workflow automation

• Partner with channel leads and PMs to prioritize and run high-impact growth experiments (e.g. SEO/AEO hacking with LLMs, web scraping, AI-powered content automation)

• Take projects from 0→1 across a variety of surface areas and tech stacks

• Develop integrations between Ramp’s products, business systems, and third-party platforms

• Operate autonomously in a fast-moving, startup environment with high ownership and low bureaucracy

• Help shape a newly formed, systems-driven Growth Engineering culture focused on long-term impact

• 2–3+ years of software engineering experience with full-stack product development

• AI/LLM experience in production environments

• Comfort working across a range of technologies and problem domains

• A systems mindset—beyond A/B testing—to solve for scalable, compounding growth

• Bias toward ownership, autonomy, and continuous learning

• Experience in early-stage or growth-focused technical roles

• Familiarity with the modern data stack (React, Python, Next.js, Sanity CMS, dbt, Looker, etc.)

• Understanding of sales/marketing automation tools and B2B sales processes

• 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 (as needed)

• Pet insurance

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.

Ramp Applicant Privacy Notice