Backed by Pear VC.
About the role
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.
What they're looking for
- 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
More about this role
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...
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