Startups · AI

Forward-Deployed Engineer

Kilvin · New York, NY, US / Philadelphia, PA, US / Denver, CO, US / Remote (US) · Remote

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About Kilvin

Custom software for your business. Backed by Y Combinator.

About the role

Our clients are operators, not engineers. What makes Kilvin work well is the tight loop between understanding what a client actually needs and shipping software that does it - quickly. As a Forward-Deployed Engineer, you'll own that loop end to end.

What they're looking for

  • 3+ years building and shipping production software, ideally full-stack
  • Experience with client-facing work. You’ve worked directly with clients to identify product requirements and deliver them in end-to-end engagements
  • Excellent written and verbal communication. You can explain a technical tradeoff to an office manager and a schema decision to an engineer
  • Experience with (or strong enthusiasm for) AI-assisted development workflows. Our delivery speed depends on them
  • A bias toward shipping. You're energized by a fast build–test–iterate loop and real users, not by long specs
More about this role

Kilvin is an AI-native software agency that builds custom internal tools for non-technical teams. We deliver everything through our platform : a shared workspace for our clients to access and interact with their software. We believe strongly in the principle of personal software : technology purpose-built for the individual, and that AI-enabled software generation provides the greatest opportunity to bring personal software to the masses.

Founded by Chris and Jorrie - MIT CS grads and former Googlers.

Our clients are operators, not engineers. What makes Kilvin work well is the tight loop between understanding what a client actually needs and shipping software that does it - quickly. As a Forward-Deployed Engineer, you'll own that loop end to end.

You'll be the face of Kilvin for a portfolio of clients: running discovery, extracting real requirements from messy workflows, and translating them into working software through a rapid prototype → feedback → implement cycle. You'll build with our AI-assisted development pipeline, demo early and often, and stay with your clients after launch - owning ongoing managed services that keep their tools running and improving.

This is a hybrid...

Read the full posting on Kilvin's site ↗

Engineering

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