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HomeCompaniesGradialSenior Forward Deployed Engineer

Senior Forward Deployed Engineer

Gradial · Seattle, WA · Active · $130,000–$210,000 / year · Greenhouse

Job facts

FieldValue
CompanyGradial
TitleSenior Forward Deployed Engineer
Normalized title-
Department / teamForward Deployed Engineering
LocationSeattle, WA, United States
Work model-
Employment type-
Salary$130,000–$210,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-11 / 2026-05-29
Changed / last seen2026-06-03 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Gradial.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Seattle.Open
Department jobsActive postings in Forward Deployed Engineering.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyGradial
Source434bdac6-a404-416b-b300-3f0cb65f81cb
ATS providerGreenhouse

Description

Gradial helps marketers and creatives move from idea to execution faster. Our platform turns intent into action, automating website updates, design system migrations, and ongoing content optimization while preserving brand integrity across every touchpoint. Backed by leading investors, we’re building software that adapts to the user, not the other way around. We move with urgency, operate with ownership, and solve hard problems from first principles. If you want to do ambitious work, take real responsibility, and help define the future of AI-native content operations, you’ll do your best work here. The Role We’re hiring a Senior Forward Deployed Engineer to lead implementations of our AI platform directly with customers. This role is ideal for an experienced 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 a Senior 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. What You'll Own Lead technical discovery and implementation for new enterprise customers, translating nuanced business processes into robust AI-native solutions. Build, deploy and optimize features that integrate customer systems with Gradial’s LLM driven platform. Develop reusable tools, adapters and configuration layers to support scalable enterprise onboarding. Collaborate with customer stakeholders (mainly within marketing, operations and engineering) to define requirements, surface edge cases and iterate in real time. Work closely with Gradial’s product and engineer teams to incorporate learnings from the field into our core roadmap. Contribute to internal technical documentation and implementation playbooks that accelerate future deployments. Own performance, reliability and maintainability for the solutions you ship, from backend architecture to customer UX. What We're Looking For 5+ years of software engineering or technical implementation experience, ideally in customer-facing contexts. Experienced 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. Excellent communication skills. Confident translating for both technical and non-technical stakeholders. High ownership mindset with comfort operating independently, navigating ambiguity. Demonstrated experience working with enterprise customers; particularly in content, marketing or digital operations. Experience with LLMs, generative AI pipelines and agent-style automation frameworks. Prior consulting, technical solution engineering or internal tools engineering experience. Willingness to travel occasionally ( Compensation 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... Embrace AI as a core tool for problem-solving, creativity and scale. Show a strong work ethic, high ownership and bias toward action. Communicate with clarity and curiosity. Thrive in fast-paced, hyper-growth environments; where building is always better than maintaining the status quo. What we offer Meaningful equity and competitive salary Comprehensive health, dental and vision coverage Fast-paced environment with autonomy and ownership Real impact, zero bureaucracy A front-row seat to building category-defining AI infrastructure AI Literacy & Interviewing Tools As an AI-first company, we prioritize AI literacy as a core competency in our hiring decisions. We’re excited by candidates who thoughtfully apply AI tools in their work, but during interviews we’re focused on you. This is your opportunity to show how you think, communicate, and solve problems. Over-reliance on AI-generated responses during the interview process (especially when it obscures your own voice) will result in disqualification. We want to understand your unique perspective and how you approach challenges, both with and without AI. Privacy Policy By submitting your application to Gradial, you acknowledge that any personal data you provide will be processed in accordance with our Privacy Policy . This includes the collection, use, and storage of your information for the purposes of evaluating your qualifications and communicating with you about your candidacy. We handle applicant data with care and in compliance with applicable data protection laws. If you have any questions about how your information is used, please refer to our Privacy Policy or contact us directly. Applicants who require reasonable accommodation to participate in the application or interview process should contact us at [email protected] to request assistance.

Full job record

Job ID4aa9389b438687e6ca94b1e5d2e0bf456d0fbd09
Org ID8dc68610-512e-41bf-8936-997adb8de548
Source ID434bdac6-a404-416b-b300-3f0cb65f81cb
Board ID434bdac6-a404-416b-b300-3f0cb65f81cb
Providergreenhouse
Provider Job Key4245924009
TitleSenior Forward Deployed Engineer
Normalized Title
Statusactive
Activeyes
Location TextSeattle, WA
DepartmentForward Deployed Engineering
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionWA
CitySeattle
Salary Rawsalary range for this position is $130,000 – $210,000 annually
Salary Min130,000
Salary Max210,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/gradial/jobs/4245924009
Apply URLhttps://job-boards.greenhouse.io/gradial/jobs/4245924009
First Seen At2026-05-29 22:57:49Z
Last Seen At2026-06-06 20:02:55Z
Last Checked At2026-06-06 20:02:55Z
Last Changed At2026-06-03 10:40:49Z
Inactive At
Source Posted At2026-05-11 22:20:50Z
Source Updated At2026-06-02 15:50:40Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=gradial/date=2026-06-06/2026-06-06T20-02-55-579Z-c7c987cb6c713b0f6ac8f9b41a98a4e6ce46553eb80f6584ac1fd34d2b4362d5.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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  },
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  "salary_period": "year",
  "workplace_type": null,
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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      "location": "Seattle, Washington, United States",
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  "metadata": [],
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  "company_name": "Gradial",
  "requisition_id": 4003866009,
  "first_published": "2026-05-11T18:20:50-04:00",
  "application_deadline": null
}
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