gradial
Forward Deployed Engineer
At a Glance
- Location
- Seattle, Washington, United States
- Experience
- 3+ years
- Compensation
- ry range for this position is $130,000 – $210,000 annually . Final compensation
- Posted
- 2026-03-19T11:57:57-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Engineering
- Marketing
Benefits & Perks
g medical, dental & vision insurance, 401K retirement plan, paid time off, p
Requirements
3+ years of software engineering or technical implementation experience, ideally in customer-facing contexts.
Proficiency in programming languages such as TypeScript or similar, with a strong understanding of APIs and systems integration.
Ability to rapidly understand unfamiliar technical ecosystems (CMS, DAM, workflow tools) and build integration paths.
Experience working with enterprise customers; particularly in content, marketing or digital operations.
Familiarity with LLMs, generative AI pipelines and agent-style automation frameworks.
Compensation & Benefits
The salary range for this position is
$130,000 – $210,000 annually
. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs.
You'll thrive here if you...
Learn quickly and actively seek out new challenges.
Embrace AI as a core tool for problem-solving, creativity and scale.
Responsibilities
Forward Deployed Engineer
to lead implementations of our AI platform directly with customers.
This role is ideal for a technically fluent builder who thrives at the intersection of engineering and problem solving; someone who wants to be hands-on with code while shaping how some of the world’s most recognizable brands modernize their content operations.
As an FDE, you’ll own full-stack development for enterprise deployments, working side-by-side with customers to map complex workflows into scalable generative systems.
You’ll move between discovery, prototyping, implementation, and post-launch optimization - translating real-world pain points into elegant technical solutions.