Software Engineer; AI-Native

About On Ramp

OnRamp transforms B2B customer onboarding into a revenue driver. Our platform automates workflows, streamlines playbooks, and accelerates time-to-value, helping enterprises reduce onboarding time by up to 70%. Backed by leading investors (we just raised our $15M Series A) and trusted by Fortune 15 companies, we’re redefining how companies bring new customers online.

We’ve built the system of record for post-sale workflows, powering onboarding and expansion for enterprise customers including Fortune 15 companies. Now we’re evolving that foundation into something much bigger: an intelligent system that actually does the work.

We’re building an agentic platform that eliminates friction in the B2B customer relationship.

We’re hiring a software engineer who has figured out what most engineers are still catching up to: how to use AI to build enterprise-grade software dramatically faster — without sacrificing quality.

To be clear about what this is and isn’t: this is not an ML research role, and it’s not a prompt-engineering role. It’s a software engineering role for someone with real fundamentals who has made AI a core part of how they build — someone who directs coding agents, runs parallel work streams, and ships in a week what used to take a team a quarter.

This is a high-impact individual contributor role on a small, elite team, reporting directly to our Head of Engineering. Our whole engineering organization is being built around AI leverage — you won’t be the odd one out fighting for tooling budget. You’ll be a founding example of how we work.

We’re deliberately not posting a checklist of frameworks and years of experience. We care about what you can build and how fast you learn, not what your last title was — we’ll calibrate level, scope, and compensation to you.

• Ship enterprise‑grade features end to end — from ambiguous product problem to production — at a pace that surprises people, with AI in the loop at every step

• Direct coding agents (Claude Code, Cursor, Codex, or whatever wins next) as a force multiplier: parallel work streams, asynchronous agents finishing work while you sleep, and your judgment steering all of it

• Own the quality bar that makes speed sustainable: architecture, code review, testing, and guardrails that keep AI‑generated code enterprise‑ready — our customers include Fortune 15 companies

• Work across the full stack of a modern web platform on AWS, including the agentic AI features inside our product

• Help write the playbook for AI‑augmented development at OnRamp — the workflows, tooling, and standards that make every engineer here faster

• Partner tightly with Product and talk directly with customers, so what you build maps to real value

• A software engineer first. You have strong fundamentals — system design, data modeling, APIs, debugging, testing — because AI amplifies judgment; it doesn’t replace it

• You’ve fully integrated AI into how you build. Not autocomplete — agents doing real, delegated work. You can describe your workflow in detail and it’s clearly ahead of the curve

• You have proof. You can point to production software you shipped with AI leverage — solo output that used to require a team — and explain exactly how you did it

• You know where AI fails. You’ve developed the review discipline, testing habits, and skepticism to catch what agents get wrong before customers do

• Enterprise‑minded: you understand that reliability, security, and data integrity are features, and you build like people’s businesses depend on your code — because they will

• High ownership and product‑minded — you run toward ambiguity, make calls, and measure yourself on outcomes, not tickets

• The entire company is built around this way of working — AI leverage is the engineering strategy, not a side experiment

• A lean team shipping at the impact of a much larger organization, on a real product with real enterprise customers

• You’ll help define what AI‑native engineering looks like — and build a career story very few engineers can tell yet

We’re a Boston‑centered engineering culture — our home base is a top‑floor office in Fort…