Forward Deployed Engineer

Recruiting from Scratch LLC; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Recruiting from Scratch LLC is seeking a highly technical, customer-facing engineer to support enterprise customers from onboarding to production deployment. You will work with developers and engineering teams to understand architectures, integration needs, and reproduce complex issues across APIs, SDKs, and sandbox infrastructure.

You will partner with core engineering to drive fixes into production, support CI/CD pipelines and AI development workflows, and help customers design reliable

Qualifications

• 3+ years in Forward Deployed Engineering or related customer-facing technical role
• From a developer tools, cloud infra, or platform engineering background
• Strong programming ability in at least one language and production-grade code debugging
• Hands-on with REST APIs, SDKs, and CLI tooling
• Solid understanding of containerization, Docker, compute environments and cloud infra
• Experience working with engineering teams at customers to integrate products into production
• Strong written and verbal English communication skills
• Able to manage multiple customer engagements and inquiries simultaneously
• Familiarity with modern AI development workflows and agented systems

Responsibilities

• Serve as primary technical partner for enterprise customers from onboarding to production deployment
• Collaborate with developers and engineering teams to map architecture and integration needs
• Reproduce, triage, and resolve customer issues across APIs, SDKs, and sandbox infra
• Build minimal reproduction cases to isolate root causes in production
• Coordinate with core engineering to drive fixes into production
• Support CI/CD pipelines, agent workflows, AI coding environments, and developer infra
• Help customers design reliable implementations using APIs and tooling
• Translate complex infrastructure behavior into clear guidance for technical and non-technical stakeholders
• Participate in technical discovery and scoping with prospective customers with GTM
• Identify recurring issues and feature gaps, feeding feedback to Product/Engineering
• Improve documentation, debugging workflows, and support tooling as the customer base grows
• Manage multiple enterprise engagements with clear prioritization and follow-through

Skills

Forward Deployed Engineering

Solutions Engineering

Developer Advocacy

REST APIs

SDKs

CLI tools

Docker

Kubernetes

English communication

Multi-customer management

Tools

Docker

Kubernetes

PostgreSQL

Job description

Company Stage of Funding: Series A

Office Type: Onsite

Company Description

We're representing a rapidly growing infrastructure company building the compute layer for AI agents. Its platform provides secure, isolated, instantly available sandboxes where AI agents can execute code, interact with computers, and run training and developer workloads.

Following its Series A, the company has already grown 10x and supports agent workloads, reinforcement learning, and development environments for some of the world's largest AI companies. As adoption grows, the team is expanding its customer-facing engineering organization to help developers and enterprises successfully integrate, operate, and scale on the platform.

This is a highly technical, customer-facing engineering role for someone who enjoys moving between customer conversations, debugging production systems, and writing code.

What You Will Do

• Serve as a primary technical partner for enterprise customers in your region, supporting them from initial onboarding through production deployment and expansion.
• Work directly with developers and engineering organizations to understand their architecture, workflows, and integration requirements.
• Reproduce, investigate, and triage customer-reported issues across APIs, SDKs, CLI tooling, and sandbox infrastructure.
• Build minimal reproduction cases and dig into production behavior to isolate root causes.
• Partner directly with core engineering teams to resolve complex technical issues and drive fixes into production.
• Support integrations involving CI/CD pipelines, agentic workflows, AI coding environments, and developer infrastructure.
• Help customers design reliable implementations using the company's APIs and developer tooling.
• Translate complex infrastructure behavior into clear, actionable guidance for both technical and non-technical stakeholders.
• Participate in technical discovery and scoping conversations with prospective enterprise customers alongside the go-to-market team.
• Identify recurring customer issues, integration friction, and feature gaps and translate those insights into actionable feedback for Product and Engineering.
• Help improve documentation, debugging workflows, support tooling, and technical resources as the customer base scales.
• Manage multiple enterprise customer engagements simultaneously while maintaining clear prioritization and follow-through.

Ideal Background

• 3+ years of experience in Forward Deployed Engineering, Field Engineering, Solutions Engineering, Developer Advocacy, technical support engineering, or a similar customer-facing technical role.
• Ideally comes from a developer tools, cloud infrastructure, DevOps, platform engineering, or infrastructure software company.
• Strong programming ability in at least one language and comfortable reading, writing, and debugging production-grade code.
• Hands-on experience working with REST APIs, SDKs, and CLI tools.
• Strong debugging skills with the ability to reproduce customer issues and isolate root causes across unfamiliar environments.
• Solid understanding of containerization, Docker, compute environments, sandboxing, and general cloud infrastructure concepts.
• Experience working directly with engineering teams at customers to integrate technical products into production environments.
• Strong written and verbal English communication skills.
• Comfortable explaining highly technical concepts to audiences with varying levels of technical depth.
• Able to balance several customer engagements and technical investigations simultaneously.
• Comfortable working in a distributed environment with significant asynchronous communication.
• Familiarity with modern AI development workflows and coding agents such as Claude Code, Cursor, OpenCode, or similar.
• High ownership mentality—you don't simply route support tickets but actively drive technical problems toward resolution.

Preferred

• Production experience with Go, Python, or TypeScript.
• Familiarity with Kubernetes and cloud-native infrastructure.
• Experience debugging containerized or distributed production environments.
• PostgreSQL experience, particularly diagnosing database-related performance or reliability issues.
• Experience with observability tooling across logs, traces, metrics, and production monitoring.
• Background at an early-stage or growth-stage developer tools or infrastructure company.
• Experience with developer relations, open-source communities, or technical writing.
• Experience supporting AI infrastructure, agentic systems, or AI developer tooling.
• Familiarity with CI/CD systems and developer workflows.
• Experience supporting enterprise customers with complex technical environments.
• Knowledge of GDPR and EU data residency requirements for enterprise software deployments.
• Experience working alongside Sales or GTM teams on technical discovery, solution design, or pre-sales engineering.

Compensation and Benefits

• Full-time position within the Engineering / Support organization.
• Join shortly after the company's Series A during a period of rapid growth, with the platform already having grown approximately 10x.
• Work directly with developers and engineering organizations using infrastructure for AI agents, coding environments, and other emerging workloads.
• Highly visible role spanning Engineering, Product, Customer Success, Developer Relations, and GTM.
• Opportunity to remain hands-on technically while developing deep customer and product expertise.
• Work within a small, senior organization where customer feedback can directly influence the platform's technical roadmap.