> Markdown version of [/jobs/ext/4345616-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/4345616-forward-deployed-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Forward Deployed Engineer

- **Company:** Perfect Venue
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Large Language Models, Grafana
- **Published:** October 13, 2026
- **Apply:** https://startup.jobs/forward-deployed-engineer-perfectvenue-com-10413138

## About the Role

* You love working with customers, but also have a technical background
 * You have built products where AI features are core to the user experience
 * You are familiar with LLM observability tools
 * You have been a founder or worked at an early stage startup
 * You have a strong sense of urgency and move quickly
 * Bonus: experience in hospitality, restaurants, or events

## Description

We are hiring a Forward Deployed Engineer to get our AI features working for real venues. We've launched agents that help our customers send messages, build menus, and more. Every venue runs its business differently, and the gap between a feature that works in general and one that works for a specific customer is where you come in.

This role is based in San Francisco, in office 5 days per week so that you can work closely with sales, customer success, and engineering. Expect regular time on-site with customers.

What you'll own
You own AI adoption for our customers end to end.

 * Embed. Work directly with restaurants and venues to learn how they handle inquiries, menus, and follow-up. Find where our AI falls short for them.
 * Customize. Customize the AI features to our customers needs so that they can be successful.
 * Drive adoption. Track and improve customizations so that they drive real outcomes for our customers.
 * Feed the product. Turn patterns across customers into improvements for the core product. Bring engineering the problems worth solving for everyone. Help write evals to improve performance.