Senior Forward Deployed Engineer - Customer AI Implementations

Factory; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Factory is seeking a Forward Deployed Engineer to lead end-to-end implementations of our platform for enterprise customers. You will work directly with customer teams to design robust workflows, champion rapid product adoption, and drive long-term partnerships.

This role sits at the intersection of engineering, product strategy, and customer success, reporting to the CEO. Ideal candidates have 3–10 years in AI/engineering, can navigate a broad tech stack, and communicate effectively with both

Qualifications

• 3-10 years of experience, with AI/software engineering background.
• Ability to quickly grasp new technologies and languages.
• Proficiency across a broad tech stack and ability to modify various parts of the codebase.
• Excellent communication and collaboration with technical and non-technical stakeholders.

Responsibilities

• Lead end-to-end implementation and integration of Factory’s platform into customer environments.
• Serve as the CEO's primary technical lead on customer engagements; travel on-site as needed.
• Lead special engineering projects expanding product capabilities and roadmap alignment.
• Respond rapidly to customer needs; troubleshoot and fix issues across diverse codebases.
• Understand customer use cases and develop tooling/documentation to support growth at scale.
• Collaborate with Product, Engineering, Sales, and Operations to translate feedback into product improvements.
• Stay updated on software development practices to keep Factory at the forefront of automation and AI.

Skills

3-10 years exp

AI & software eng

Broad tech stack

Customer-facing

Job description

Factory is seeking a Forward Deployed Engineer to lead end-to-end implementations of our platform for enterprise customers. You will work directly with customer teams to design robust workflows, champion rapid product adoption, and drive long-term partnerships.

This role sits at the intersection of engineering, product strategy, and customer success, reporting to the CEO. Ideal candidates have 3–10 years in AI/engineering, can navigate a broad tech stack, and communicate effectively with both