Forward Deployed Engineer for Enterprise AI in Production (SF)

Digital Waffle; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

On-site in San Francisco

Job summary

Digital Waffle in San Francisco is seeking a Forward Deployed Engineer to work alongside enterprise customers, embedding with partners to understand workflows and ship production features rapidly.

You’ll own end-to-end delivery from initial customer conversations to deployed, instrumented code, using Python, TypeScript, React and Next.js, while leveraging modern AI tooling to accelerate value.

Qualifications

• Strong commercial software engineering experience.
• Track record shipping production code end to end.
• Comfortable in front of enterprise customers, translating business problems into technical solutions.
• Fluent in modern AI tooling (Claude, Cursor, Copilot) and using it to raise output.
• High autonomy and ownership; pragmatic about what good enough looks like.
• Willingness to work 5 days a week in-person with a small, high-intensity team.

Responsibilities

• Embed with enterprise customers to understand workflows, pain points and constraints.
• Build custom integrations, prototypes and production features turning pilots into committed usage.
• Ship end-to-end across Python, TypeScript, React and Next.js.
• Feed field insights back into product and engineering for roadmap shaping.
• Own problems from first customer conversation to deployed, instrumented code.
• Use AI tooling throughout workflow to move fast without compromising quality.
• Partner with founders, product and GTM to turn customer conversations into shipped features.

Skills

Python

TypeScript

React

Next.js

Enterprise customer engagement

Tools

Claude

Cursor

Copilot

Job description

Digital Waffle in San Francisco is seeking a Forward Deployed Engineer to work alongside enterprise customers, embedding with partners to understand workflows and ship production features rapidly.

You’ll own end-to-end delivery from initial customer conversations to deployed, instrumented code, using Python, TypeScript, React and Next.js, while leveraging modern AI tooling to accelerate value.