What does a Forward Deployed Engineer do at Smart Apply Test Company?

Forward Deployed Engineers at Smart Apply Test Company are embedded directly with enterprise customers to implement and customize the platform, build integrations, and solve technical problems in real-world client environments. They combine software engineering skills with direct customer interaction, writing production code while also serving as the primary technical point of contact.

What skills are required for this Forward Deployed Engineer — Dev Tools / Testing AI role?

The Forward Deployed Engineer — Dev Tools / Testing AI role at Smart Apply Test Company typically requires strong software engineering skills (Python, TypeScript, SQL), experience with APIs and system integration, comfort with cloud platforms, and the ability to communicate complex technical topics to non-technical stakeholders. Most FDE roles require 3-7 years of engineering experience.

Is this Forward Deployed Engineer position at Smart Apply Test Company remote?

Remote availability varies by Smart Apply Test Company FDE role. Some positions are fully remote, others require travel to customer sites, and some are hybrid. Check the full job description above for the specific location requirements for this posting.

Smart Apply Test Company

Forward Deployed Engineer — Dev Tools / Testing AI

$200K - $400K San Francisco, CA, US Mid Posted July 17, 2026

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Role Description

Forward Deployed Engineer

Snapshot: $200K–$400K base + significant equity · San Francisco · On-site (5 days) · No visa sponsorship (H1B/TN transfers OK) · 3–8 yrs technical engineering

THE OPPORTUNITY

Our client is a venture-backed AI company (~20 people, founded 2024–era, $20M raised) whose platform auto-generates and auto-maintains visual frontend browser tests — coverage unattainable with manual testing. As the first Forward Deployed Engineer in San Francisco, you'll establish the US FDE presence and define how the function operates from the ground up, working with AI-driven companies to deploy solutions.

WHAT YOU'LL DO

Architect and deploy solutions at scale across customer systems. Evolve core product features (including deep work on deterministic browser technology) to enable customer success. Own technical relationships with engineering leadership (VPs, Staff+ engineers). Guide product direction from field insights. Establish processes, tooling, and best practices for the growing FDE function.

WHAT SUCCESS LOOKS LIKE

First 90 days: deploy with early customers and build credibility with engineering leaders. First year: establish the US FDE function, its playbook, and repeatable deployment practices.

MUST-HAVES

3–8 years in demanding technical engineering roles, ideally customer-facing; strong JavaScript/TypeScript, browser internals, CI/CD, web APIs, and testing infrastructure; ability to write code one day and present to engineering VPs the next.

NICE-TO-HAVES

Prior FDE / solutions-engineering experience; developer-tools or testing-infrastructure background.

COMPENSATION & BENEFITS

$200K–$400K base (USD) plus significant equity.

LOCATION & WORK MODEL

On-site 5 days/week in San Francisco. Open to H1B/TN transfers.

HIRING PROCESS

Our team will walk you through the full interview process when we connect.

ABOUT THIS SEARCH

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About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.