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Dex

Forward Deployed Engineer (up to $260k)

Mid

Role Description

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.

If you're interested sign up to Dex to apply. Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.

The role This company is building a lightweight runtime that turns AI agents, workflows, and backend services into durable processes. Their core mission is to free engineering teams from failure mechanics, letting them focus on business logic. The runtime is already in production at Fortune 500 enterprises, Tier 1 banks running critical financial workflows, and frontier AI startups. The team is small, founded by experienced leaders from foundational open-source projects and large-scale infrastructure, and backed by leading investors.

This is the founding Forward Deployed Engineer role. You won't just enable PoCs; you'll define the entire function: the playbook, the path-to-production patterns, and the feedback loop into product. You'll own the technical journey from initial PoV through production readiness and deployment, working hands-on with sophisticated customer engineers. This isn't a pure sales engineering role focused on presentations; it's deep technical ownership, building and shaping the product's adoption in critical environments. Expect significant outward-facing surface area and a platform to build a public developer brand.

The work

  • Own the technical path from initial PoV/PoC enablement through production readiness and deployment.
  • Work hands-on with customer engineers and OSS evaluators on integrations, reference implementations, and architecture guidance.
  • Drive the transition from "PoC works" to "production-ready": Kubernetes, cloud setup, observability, networking, security, and operational patterns.
  • Support early discovery workshops, POV planning, and participate in escalation and on-call rotations for critical customer issues.
  • Feed product friction and papercuts directly back into the engineering team, contributing to docs, examples, SDKs, and the core product.

What You Bring

  • Full proficiency in Go or Rust, plus at least one of TypeScript, Java, or Python.
  • Strong Kubernetes skills, deep observability instincts, and hands-on experience with AWS, GCP, or Azure.
  • You have designed and operated real distributed backend systems in production, understanding failure modes from direct experience.
  • Comfortable being the technical face of a product in front of sophisticated customer engineers, including Staff and Principal levels.
  • Eligible to work in Europe or the US.

Why apply through Dex This is a rare founding Forward Deployed Engineer role at a company solving a hard problem in AI infrastructure. Roles like this are often oversubscribed or hard to find, and it's even harder to get the full context before you apply. Sign up to Dex to get properly briefed on this specific opportunity, skip the cold application process, and get matched to other roles like it.

If you're interested, sign up to Dex to apply - https://meetdex.ai/job-listing?job_id=dd008655-3c8f-46c0-b72d-a8bc7ff62ad9&utm_source=linkedin&utm_medium=job_listing&utm_campaign=xml-feed_basic&utm_content=fde

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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.

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