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Zaimler

Forward Deployed Engineer

New York, NYfull timemidAdded today

About this role

zaimler seeks a Forward Deployed Engineer to serve as the technical leader for enterprise AI infrastructure deals across EMEA. You'll bridge sales and engineering by understanding customer data environments, running proofs of value, and guiding customers from evaluation through production deployment while feeding learnings back to the product team.

What you'll do

  • Lead technical discovery and architectural discussions with enterprise customers' data teams
  • Design and execute proofs of value demonstrating AI agent reasoning capabilities over customer data
  • Convert successful POVs into production proof-of-concepts and manage implementation
  • Handle technical objections, competitive comparisons, and architecture whiteboarding with customer engineers
  • Assess deal viability and customer readiness based on technical fit and environment analysis
  • Collect customer feedback and technical insights to inform product improvements

What they're looking for

  • Enterprise data infrastructure and architecture
  • Knowledge graphs and semantic understanding systems
  • AI/ML agent systems and reasoning frameworks
  • Technical sales and customer communication
  • Data integration and systems mapping
  • Proof of concept design and execution
  • Competitive analysis and technical objection handling
  • Travel and customer-facing relationship management
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Zaimler

Zaimler builds a semantic platform powered by advanced AI that transforms raw enterprise data into structured knowledge graphs and embeddings using large language models. The company is hiring Machine Learning Engineers to develop sophisticated algorithms and a Founding Cloud Infrastructure Engineer to establish the foundational cloud systems for their enterprise AI platform.

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Likely interview questions

  • Describe your experience explaining complex data infrastructure concepts to non-technical stakeholders—how do you assess what a customer actually needs versus what they think they need?
  • Walk us through a time you helped a customer move from evaluation to production—what were the biggest technical hurdles and how did you overcome them?
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