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Gradial

Forward Deployed Engineer

Seattle, WA$130k–$210kfull-timemidAdded today

About this role

Gradial seeks a Forward Deployed Engineer to lead enterprise implementations of its AI-native marketing operations platform. You'll own full-stack development and customer integrations, translating complex workflows into scalable solutions while working directly with leading brands.

What you'll do

  • Lead technical discovery and implementation for enterprise customers, mapping business processes into AI-native solutions
  • Build and deploy integrations connecting customer systems with Gradial's LLM-driven platform
  • Develop reusable tools, adapters, and configuration layers to support scalable enterprise onboarding
  • Collaborate with customer stakeholders to define requirements, surface edge cases, and iterate in real time
  • Partner with product and engineering teams to incorporate field learnings into core roadmap
  • Own performance, reliability, and maintainability of deployed solutions end-to-end

What they're looking for

  • TypeScript or similar programming languages
  • APIs and systems integration architecture
  • Enterprise software integration (CMS, DAM, workflow tools)
  • Full-stack development
  • Customer communication and stakeholder management
  • LLMs and generative AI pipelines
  • Problem-solving and independent navigation of ambiguity
  • Technical documentation and knowledge transfer

Benefits

  • Competitive salary with meaningful equity
  • Comprehensive health, dental, and vision coverage
  • 401K retirement plan
  • Paid time off and paid sick leave
  • Employee wellness programs
  • Fast-paced environment with flexibility and real impact
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Gradial

Gradial builds an AI-powered content operations platform that automates workflows for marketers and creatives through generative AI and autonomous agents. The company is hiring Product Engineers for UI/design systems work, Forward Deployed Engineers for enterprise implementations, and Applied AI Engineers to develop AI agent systems.

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Likely interview questions

  • Describe a time you integrated multiple unfamiliar enterprise systems; how did you approach learning their architectures?
  • Walk us through how you'd translate a complex, non-technical business process into an AI-native technical solution.
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