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Zaimler is building context infrastructure for the agentic era—a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents semantic understanding to operate at scale. Founded by veterans from Truera, Visa, and LinkedIn, the company is deploying with major enterprises across insurance, travel, and technology.
As a Forward Deployed Engineer, you'll own the technical front line of enterprise deals across EMEA. This is a hybrid role combining technical credibility with customer-facing execution—not a quota-carrying sales position, and not pure delivery. You'll walk into customer environments, understand their data architecture faster than expected, and demonstrate what becomes possible when AI agents can reason over their data. You'll run proofs of value, convert them into production POCs, and feed learnings back to the engineering team to improve the product.
You'll be one of the first people customers meet and one of the last before production. Your responsibilities span technical demos, discovery sessions with data platform leads and CIOs, building the pre-sales playbook (demo narratives, discovery frameworks, objection handling, reference architectures), owning competitive positioning against Palantir and hyperscalers, driving POVs from scoping through signed POC, translating customer edge cases into structured product feedback, partnering with ML and infrastructure engineers on deployments, and serving as the technical voice of the customer internally and externally.
Required: 5+ years total experience including 2–3 years in a hands-on technical or data role before moving customer-facing. Enterprise B2B software background with understanding of long cycles, procurement, and multi-stakeholder buying. Track record converting technical proofs into production commitments. Real fluency in the modern data stack (warehouses, pipelines, data governance). Working knowledge of LLM and agentic system production deployments with honest judgment about capabilities and limitations. Credibility to hold a room of senior engineers, push back on architecture, and read room dynamics (budget holders, veto holders, champions).
Nice to haves: field-heavy data or AI company experience, knowledge graphs, semantic layers, ontologies, entity resolution, regulated or air-gapped environment deployments (financial services, insurance, telco, public sector), Python or SQL prototyping, startup or zero-to-one experience, multilingual or multi-market European selling experience.
This is a ground-floor opportunity in EMEA with no pre-sales org to slot into and no inherited playbook. You'll establish the field motion that future hires inherit, work closely with the founding team still writing the roadmap, and move the needle on specific accounts.
