Forward Deployed Engineer

Warp: We're Building the Platform for Agentic Development

Warp began with the vision of reimagining one of the fundamental dev tools, the terminal, to make it more usable and powerful for all developers. As AI has advanced, Warp has evolved beyond its terminal roots into a full agentic development environment: a workbench for dispatching agents to code, deploy, and debug production software.

Today, we have three products. Warp is the agentic development environment born out of the terminal, built on an orchestration platform for running hundreds of cloud agents in parallel. And Warp Factories is our newest product: infrastructure for engineering teams to build and run their own cloud software factories, where fleets of agents triage, spec, implement, review, and verify code across a company's entire SDLC. Together, these products are creating the scaffolding for developers to build their own workflows for working with agents.

In Warp, you can seamlessly switch between running commands, launching agents, and iterating on code with agents, eliminating the need to jump between a terminal and an IDE. It all works with our built in SOTA agent or top agents like Claude Code, Codex, Gemini CLI, and OpenCode. On the orchestration side, you can build custom agents that are triggered programmatically, tracked centrally, and shared across full teams to run agents across organizations without compromising security or reliability. Continue a cloud agent run locally in Warp or on the web with one click. And with Warp Factories, teams can go a step further and set up entire automated workflows around their SDLC, retaining full control over their data, models, and compute along the way.

With over 1 million active developers at companies including Docker, Ramp, and Peloton, and over half of the Fortune 500, and revenue that grew over 44x last year, Warp is one of the fastest growing startups in the AI development space.

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. For more information on our team and culture, we highly recommend reading our' How We Work' guide.

Why This Role? 

Warp is scaling its enterprise motion around Oz — Warp's programmable agent platform for running and coordinating agents at scale. Oz Cloud Agents are cloud-connected background agents that run from events, schedules, or integrations, giving engineering teams scalable automation with shared observability. Enterprise customers can choose from Warp-hosted execution (where Oz handles everything from sandboxed environments to integrations) to self-hosted execution (where agents run on the customer's own infrastructure while Oz provides orchestration, session management, and visibility).

Every enterprise has different security requirements, internal tooling, and use cases and we need someone to bridge the gap between our platform and their unique environments. As enterprises adopt Oz, they need hands-on technical leadership to deploy production agent workflows: architecting solutions, configuring environments, building integrations, guiding self-hosted deployments, and iterating on prompts and skills until the agents deliver real business value.

As our Founding Forward Deployed Engineer, you'll be the first hire dedicated to making enterprise implementations successful, turning promising pilots into production deployments that drive real results. This role sits at the intersection of engineering, product strategy, and go-to-market — you'll build alongside customers, not just advise them. You'll report to leadership and have direct exposure across every part of the business.

As a Founding Forward Deployed Engineer, you will...

• Own end-to-end enterprise implementations. Lead engagements from first discovery call through production deployment. Run deep discovery on customer engineering environments, define success criteria, architect agent workflows tailored to their stack, and own the outcome end-to-end. 
• Architect agent workflows with customers. Help enterprise engineering teams design agent architectures for their specific use cases: selecting triggers (Slack, Linear, GitHub Actions, webhooks, cron schedules, API calls), configuring sandboxed environments, structuring multi-step agent workflows, and designing integration-driven automation that fits into their existing development lifecycle.
• Build production-grade solutions alongside customers. Write and iterate on agent prompts, skills, and configurations. Set up environments, secrets, MCP servers, and integrations. Debug agent runs using session sharing and observability tools. Ship a working version in days, then harden it over weeks with proper monitoring and iteration based on real usage. 
• Guide self-hosted deployments. For enterprises that need execution on their own infrastructure, help configure managed workers (Docker, Kubernetes, or Direct backend), set up task routing, connect private registries, and validate network connectivity, ensuring they get the same orchestration and observability benefits as Warp-hosted execution.
• Accelerate deals through technical execution. Join customer calls from the very first discovery meeting to understand their technical environment and identify opportunities for Oz cloud agents.
• Develop reusable implementation patterns. Turn what you build into reusable patterns that make the next implementation faster. Document architecture patterns, reference implementations, agent skills, and templates.
• Be the voice of the customer to Product and Engineering. You'll be closer to customer needs than almost anyone else on the team. Surface implementation friction, feature gaps, and common pain points. Translate what you're learning in the field – which integrations should become first-party, what's blocking faster deployments, where the platform needs to evolve – into actionable feedback that shapes the Oz platform roadmap. 

You may be a good fit if...

• 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 n