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Guild.ai is seeking a Forward Deployed Engineer to serve as the technical bridge between our platform and customers. You will own end-to-end engagements, from discovery through deployment, integrating Slack, GitHub, Salesforce, and other tools with our agent-based solutions.
You’ll collaborate with sales and product engineering to translate field learnings into product improvements, shaping scalable, reusable templates and libraries. Hybrid/in-person work in the SF Bay Area is preferred.
Guild is the control plane for AI agents - a platform to build, deploy, govern, and share agents in production. As AI moves from experimentation to real systems, we're building the infrastructure layer that makes it safe, observable, and scalable.
We are building the control plane for AI agents in teams and companies. As a Forward Deployed Engineer (FDE), you are the technical bridge between our platform and our customers' most complex workflows.
This is a high-impact sales engineering role embedded in a customer-facing context. You won't just demo the product; you will get deep into customer environments, understand their underlying systems, and ship production-ready agentic solutions. You will collaborate closely with sales to prove value and with product engineering to ensure the insights you gather in the field shape the future of our infrastructure.
We are looking for someone who is energized by customer partnership and thrives on seeing their code solve tangible business problems in the wild.
You will lead the technical side of customer engagements end-to-end:
We recognize that "Forward Deployed" is a unique profile. You might be a software engineer who loves the "why" behind the code and wants to be closer to the user, or a highly technical product manager or solutions engineer who prefers working closely with customers day-to-day.
San Francisco Bay Area preferred (Hybrid/In‑person) but open to other locations.
Full-time
Occasional travel to customer sites (up to 25-30%) may be required to deepen partnerships and lead on‑site implementations.
You’ll be the person who makes AI agents work for the world’s most innovative teams. You won't just be handing off requirements; you'll be building the future of work, one deployment at a time.
Compensation Range: $180K - $300K