Forward Deployed Engineer

Eon

$130K — $180K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of hands-on experience in data engineering, software engineering, solutions engineering, or forward deployed engineering.
  • Strong background in building and operating data pipelines at scale with modern data architectures.
  • Expertise in semantic layers, data modeling, and knowledge graphs for meaningful data interpretation.
  • Experience with Generative AI applications and workflows, including LLMs and agents.
  • An entrepreneurial mindset with a proven track record of taking ownership of projects.

Responsibilities

  • Own the technical relationship with customers from inception to deployment.
  • Convert platform primitives into customer-ready demos and production systems swiftly.
  • Design and implement data and AI solutions using structured and unstructured data.
  • Present technical work to a diverse audience, including engineers and executives.
  • Integrate field insights into Product and Engineering plans to shape the company roadmap.

Benefits

  • Opportunity to work with Fortune 500 companies directly.
  • High-impact role with ownership of real business outcomes.
  • Access to cutting-edge technology solutions in data and AI.
  • Collaborative environment that values product feedback from frontline engineers.
Full Job Description
About the role

Eon's FDEs are the front edge of the company. You embed with some of the world's largest enterprises, take a real business problem, and ship working software on their data, often within days of first meeting them. Your demos close deals. Your prototypes become product. Your solutions run in production at Fortune 500 scale.

This is a builder's role with real ownership: you pick up a problem, you own the outcome, and the whole company sees the result.
What you'll do
  • Own the technical relationship with customers end to end, from first whiteboard session to production deployment.
  • Turn platform primitives into customer-ready solutions in days: live demos, POCs, and production systems on real customer data.
  • Design and build data and AI solutions over structured and unstructured data: semantic layers, analytics, GenAI applications, and agent-facing data products.
  • Present your work to everyone from staff engineers to the C-suite, and hold the room with both.
  • Feed what you learn in the field directly into Product and Engineering. FDEs are the strongest signal in our roadmap.
What we're looking for
  • An entrepreneurial mindset: you find the problem, take ownership of the outcome, and don't wait for permission or perfect requirements. Founding or building something from scratch is a strong plus.
  • 8+ years of hands-on experience across data engineering, software engineering, solutions engineering, or forward deployed engineering.
  • Deep data engineering background: you've built and operated data pipelines and ingestion systems at scale, and you know modern data architectures (lakehouse, open table formats, Iceberg) well enough to know where they break.
  • Experience with semantic layers, data modeling, data cataloging, or knowledge and context graphs: making data meaningful and trustworthy for machines, not just queryable.
  • Hands-on experience with Generative AI: LLM applications, agents, RAG, text-to-SQL, and AI-powered workflows over enterprise data.
You build fast with limited guidance, and you're proud of what you ship.
You communicate like an owner: clear, direct, and credible with executive and C-level stakeholders.
Prior FDE experience is a plus, not a requirement.

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