Implementation Engineer
About the role
Why this role?
Warp is scaling its enterprise motion around Oz Cloud Agents — cloud-connected background agents that run from events, schedules, or integrations, giving teams scalable automation with shared observability. As enterprises adopt Oz, they need hands-on technical guidance to deploy production agents — configuring environments, designing agent workflows, setting up self-hosted infrastructure, and iterating on prompts and skills. We're hiring an Implementation Engineer to be the dedicated technical lead for these engagements.
This person will run our structured Implementation Support program, working directly with customer engineering teams from use case selection through production deployment. You'll sit at the intersection of engineering and enterprise GTM; building alongside customers, not just advising. You'll architect agent workflows, configure Docker environments, write skills and prompts, debug integrations, and guide self-hosted deployments. You'll also work closely with Product and Engineering to translate field learnings into product improvements, shaping the platform based on what you see in the field.
As an Implementation Engineer, you will...
- Lead implementation engagements end-to-end. Run our multi-week implementation support program — from kickoff (requirements gathering, use case selection, success criteria definition) through weekly implementation sessions to wrap-up (outcome review, ROI validation, expansion planning).
- Architect agent workflows with customers. Help enterprise teams design agent architectures for their specific use cases — selecting agent triggers, configuring sandboxed environments, and structuring multi-step agent workflows.
- Build 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.
- Guide self-hosted deployments. Work with customers to deploy Oz agents in their own cloud accounts, troubleshooting Docker, Kubernetes, and network configurations.