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FDE Team in San Francisco, CA is hiring Forward Deployed Engineers who blend strong software engineering with direct customer collaboration, embedding with customer teams and ownership from discovery to production.
You will translate ambiguous requirements into practical technical solutions, build AI applications and integrations using Python and TypeScript, and work closely with stakeholders to deliver production-ready systems.
San Francisco, United States | Posted on 09/02/2026
FDE Team builds and deploys Forward Deployed Engineering teams that embed directly into your organization, working inside your systems, your stack, and your workflows from day one. Our engineering pods work across Core Engineering, Sales Ops, Marketing Growth, and Cloud Cost Optimization, helping companies modernize technology, automate operations, and deploy production-ready systems in weeks.
This is an opportunity for engineers who enjoy building from 0→1, solving ambiguous problems, working closely with customers, and shipping production-ready systems in a fast-moving environment.
Backed by SA Technologies, a global technology leader with enterprise delivery expertise across North America, Europe, and Asia Pacific.
Department: Client Delivery / AI Engineering
Employment Type: Full-Time
Location: United States
Work Model: OnsiteSan Francisco, California Travel: Customer travel as required
FDE Team is hiring Forward Deployed Engineers (FDEs) who combine strong software engineering skills with the ability to work directly with customers.
As an FDE, you will embed with customer teams, understand complex business and technical problems, design solutions, write production code, integrate systems and own deployment from initial discovery through production.
This is not a traditional consulting, pre-sales or Solutions Architect position . FDEs are hands-on engineers who build and ship.
That distinction is particularly important because it matches FDE Team's public definition of the role: an FDE combines product, engineering and customer-facing work and owns the deployed outcome.
Preferred: Previous Forward Deployed, founding engineer, customer engineering, solutions engineering or startup experience; hands-on AI/LLM development is highly desirable.