Forward Deployed Engineer
Warp · New York, New York · Sales · listed January 6, 2026
The shape of it
Seniority
Not stated
Where
Not stated
Stated pay
$200,000 – $250,000
Requirements listed
5
Length
1,743 words
In the posting’s own words
Our mission has remained the same even as AI has advanced: to empower developers to ship better software more quickly, freeing them to focus on the creative and rewarding aspects of their work. If you want to help define what development looks like in the agentic era at a company where your work reaches hundreds of thousands of engineers every day, we'd love to have you.
What it asks for · 5
- You have FDE-equivalent experience. Ideally, most recently a Forward Deployed Engineer, or you might be an early engineer or founder at a startup where you worked closely with GTM and did pilot implementations for enterprises. The key signal: you've built custom technical solutions for customers, not just internal products.
- You have strong infrastructure fundamentals. You're comfortable with Docker, CI/CD pipelines, cloud infrastructure (AWS, GCP, Azure), container orchestration, and Linux. You understand how enterprise engineering environments work and can navigate them confidently.
- You're familiar with AI/LLM concepts. You understand prompt engineering, agent architectures, tool use, and how to evaluate non-deterministic systems. You've built or deployed AI-powered workflows, not just prototypes, but systems that run in production.
- You're an excellent communicator who can articulate the vision. You can hold your own with senior engineers and executives alike. You need to articulate Warp's vision for Oz cloud agents in a way that gets enterprise engineering teams and leadership excited.
- You have high EQ and can navigate enterprise relationships. Working with other companies' engineers requires a different approach than internal collaboration. You know how to be amenable, patient, and constructive even when things aren't set up the way you'd prefer.
Also a plus
- Experience building or deploying AI agents in production (LangChain, custom agent frameworks, or similar)
- Experience with GitHub Actions, webhooks, and event-driven automation
- Familiarity with enterprise security and compliance requirements (SOC 2, self-hosted deployments, network boundary constraints)
- Experience with APIs/SDKs in a customer-facing capacity (building integrations, writing client libraries, or doing technical enablement)
- Experience with terminal applications, shell scripting, or command-line tooling
- Experience with Rust or Go
Tools and skills named
Cloud & infra
- Docker3×
- Observability3×
- GitHub Actions2×
- AWS
- Azure
- CI/CD
- GCP
- Kubernetes
- Linux
Languages
- Rust2×
- Bash
- Go
Security & compliance
- Security3×
- SOC 2
Go to market
- Go-to-market2×
Models & research
- LLM
- Prompt engineering
Product & design
- Product strategy
- Roadmap
Ways of working
- Slack
Words the posting leans on
- agents29×
- enterprise13×
- customer10×
- engineer8×
- engineering8×
- experience7×
- implementations7×
- run7×
- deployments6×
- development6×
- integrations6×
- platform6×
- product6×
- production6×
- build5×
- building5×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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