Senior Software Engineer | GTM Platform, Backend

About Ramp

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ 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.

is the largest top-of-funnel surface at Ramp - over half our inbound SQLs come from it. Web Engineering owns this surface and the tooling marketers use to ship on it. You'll build the platforms that let 9+ marketing teams (Product Marketing, Paid Ads, AEO, Brand, Content, Lifecycle, Communications, Events, Sales) launch campaigns, ship landing pages, run experiments, and update content at speed.

Web Engineering is a lean and scrappy team that owns  end-to-end - the Next.js application, Sanity CMS, in-house A/B experimentation platform, and internal applications that marketers use on top of all of it. Recent shipped projects include Kirby Prototyper (AI-assisted landing page creation), Sanity MCP with guardrails (agent-driven content workflows), an Ad-Agent to programmatically run Meta and Google ads, and AEO infrastructure that enables Ramp to be cited in AI search results.

The next phase is making those platform pieces compound. We’re doubling down on tooling that turns marketing requests into self-serve workflows, and we’re hiring two backend product engineers to drive the roadmap forward.

• Own the end-to-end development of self-serve tooling that converts repeated marketing asks into reusable platform capabilities. Examples on the near-term roadmap: an MCP integrated directly with our design system and Prototyper app that enables marketers to go from idea to content outline to production ready landing page in minutes, AI content writing workflows, self-improving experimentation tooling, and programmatic sales asset creation.

• Be opinionated about agentic and AI-augmented workflows. Most of our compounding leverage comes from tooling that pairs an AI agent with strong guardrails. We expect engineers here to drive direction of the agent layer.

• Partner directly with marketers, designers, and PMs to identify which workflows are highest-leverage to automate. The job is part platform engineer, part product engineer - user research and tight collaboration with non-engineers is an expectation.

• Set the bar for velocity and quality. We're a small team with high stakes (this surface drives half of inbound SQLs). You should be the kind of engineer who ships at high velocity without compromising the brand or breaking the production funnel.

• Reduce the team's ticket burden by making the request unnecessary. Success is measured not in tickets closed but in the percentage of marketing work that ships without you touching it.

• 4+ years of product engineering experience
  , ideally at a high-growth tech company, with a meaningful share of that time on user-facing or platform-tooling work.

• Demonstrated track record of building internal tools or platforms that materially reduced repetitive workflows for non-engineers. We're hiring for force multipliers, not feature implementers. Our FE applications are built with Next.js and Sanity CMS for the marketing site  our backend services use a mix of Python/Type Script.

• Strong product instincts. You can tell the difference between tooling that compounds and tooling that’s busywork. You're comfortable saying no, scoping down, and shipping the right 70% over the wrong 100%.

• Comfort with AI/LLM-augmented engineering. Yo…