About Ramp

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. More than 45,000 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 $100 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. 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 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.

Join our growing Ops Engineering team and help build internal tooling and infrastructure that empowers operators at Ramp. As an internal-facing team, you'll work directly with our operations teams to design, implement, and scale tools and systems that enable them to serve our customers more efficiently and effectively. Much of our work involves managing the Retool platform, building custom tooling on top of platforms like Zendesk, developing internal API to support internal operations, and creating operator-facing applications that help our ops teams move faster and deliver better customer experiences.

Ramp is, at its core, an engineering company, and is on a mission to build the best engineering team in the world! The Ops Engineering team is highly cross-functional, working closely with operations, customer support, and other internal stakeholders to solve a wide range of infrastructure and tooling challenges. Our ideal candidate has a strong sense of ownership and enjoys owning projects from inception to scaling them in production. We value people who take pride in their work, and show an aptitude for learning quickly whether they're familiar with our stack or not. You'll be working with a nimble team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture. We are intentionally pushing to use AI to automate workflows end-to-end, reducing manual toil and standardizing patterns across Retool, Zendesk, and our internal APIs.

What You'll Do

• Design and build full-stack internal applications and tools that empower operations teams to work more efficiently and deliver exceptional customer experiences

• Develop robust backend services and APIs that power internal tooling, ensuring scalability, reliability, and performance

• Build integrations with third-party platforms like Retool, Zendesk, and other operational systems to create seamless workflows

• Leverage AI tooling and capabilities to build intelligent automation, enhance operator productivity, and improve decision-making within internal tools

• Create data-driven features and analytics that provide operations teams with actionable insights and improved visibility

• Collaborate closely with operations stakeholders to understand pain points, gather requirements, and iterate on solutions that solve real business problems

• Write clean, maintainable, and well-tested code following software engineering best practices

• Participate in code reviews, mentor team members, and contribute to the growth of engineering culture

• Own features end-to-end from design through deployment, monitoring, and iteration based on user feedback

• Participate in an On Call rotation to resolve critical issues impacting internal users

What You'll Need

• 5+ years of software engineering experience building and shipping production applications

• Strong proficiency in modern programming languages such as Python, TypeScript/Node.js, or similar

• Experience building full-stack applications with modern frameworks (React, Next.js, or similar for frontend)

• Solid understanding of backend architecture, API design, and database systems (PostgreSQL, Redis, etc.)

• Demonstrated aptitude for working with AI technologies, including experience integrating LLMs, building AI-powered features, or applying AI to solve business problems

• Experience building internal tools or working closely with non-technical stakeholders to understand and solve their problems

• Strong product sense and user empathy, with ability to translate business requirements into technical solutions

• Familiarity with cloud infrastructure (AWS preferred) and modern DevOps practices

• Excellent communication skills and ability to work cross-functionally with operations, product, and engineering teams

• Strong sense of ownership and bias toward action, with ability to move quickly and iterate based on feedback

• Experience with platforms like Retool, Zendesk, or similar internal tooling platforms is a plus

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 (as needed)

• 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.

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