Forward Deployed Engineer, Warp

• 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
• So if you’re excited about this role, but your past experience doesn’t align perfectly with every qualification in this job description – we encourage you to apply anyways!

Desirable

• 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
• 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