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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 with precision at scale. The company was founded by data infrastructure veterans including a former VP Engineering at Truera and Chief Architect at Visa, plus a former Director of Engineering at LinkedIn who built one of the largest knowledge graphs in production. They are growing and deploying with major enterprises across insurance, travel, and technology.
As a Forward Deployed Engineer, you will own the technical front line of enterprise deals in EMEA. This is a hybrid role combining technical depth with customer-facing responsibility—not a quota-carrying sales position, nor a pure delivery role. You will be the person who walks into a room with a customer's data architects, understands their environment quickly, and demonstrates what becomes possible when their agents can reason over their data. You will run proofs of value, convert them into production proofs of concept, and carry learnings back to the engineering team to improve the product.
You will be one of the first people a customer meets and one of the last to leave before production. Your responsibilities include running technical demos and discovery sessions with enterprise buyers from data platform leads to CIOs; building and owning the pre-sales playbook including demo narratives, discovery frameworks, and reference architectures; owning the competitive landscape and understanding where zaimler wins and loses against Palantir, hyperscalers, and semantic layer vendors; driving proofs of value from scoping through signed proof of concept; translating customer environments into structured product feedback for engineering; partnering with ML and infrastructure engineers on deployments; and serving as the technical voice of the customer internally and zaimler externally. The role requires regular travel to customer sites across the UK and Europe. You will help build the playbook rather than inherit one, working in a small team environment.
REQUIREMENTS:
- 5+ years total experience, including 2–3 years in a hands-on technical or data role before moving into a customer-facing one; you must have built something, not just presented about it
- Enterprise B2B software background; understanding of long cycles, procurement, security review, and multi-stakeholder buying
- Track record converting technical proofs of value into production commitments
- Real fluency in the modern data stack: warehouses, pipelines, and how enterprises actually store and govern data
- Working knowledge of how LLM and agentic systems are deployed in production, with honest judgment about capabilities and limitations
- Credibility to hold a room of senior engineers; ability to be challenged on architecture and push back without losing them
- Strong read on room dynamics: who holds budget, who holds veto, and who becomes your champion
- Comfortable with ambiguity and being the only zaimler person on site
NICE TO HAVES:
- Experience at a field-heavy data or AI company
- Knowledge graphs, semantic layers, ontologies, or entity resolution experience
- Deployments into regulated or air-gapped environments (financial services, insurance, telco, public sector)
- Enough Python or SQL to prototype in front of a customer
- Prior startup or zero-to-one experience where you helped define the motion
- Multilingual or experience selling across multiple European markets
