Forward Deployed Engineer

About zaimler

AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it.

zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision gine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve.

zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, Linked In), who built one of the largest knowledge graphs in production in the industry 're growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk.

We're looking for a Forward Deployed Engineer to own the technical front line of our enterprise deals in EMEA.

This is not a quota-carrying sales role, and it is not a pure delivery role. You are the person who walks into a room with a customer's data architects, understands their environment faster than they expect you to, and shows them what becomes possible when their agents can actually reason over their data. Then you make it real. You run the proof of value, you convert it into a production proof of concept, and you carry everything you learned back to our engineering team so the product gets better.

You'll be one of the first people a customer meets and one of the last to leave before they're in production. That means the demo, the technical objection, the competitive comparison against our competitors, the architecture whiteboard with a skeptical principal engineer, and the honest read on whether a deal is real. All of it is yours.

We're a small team, so you'll help build the playbook rather than inherit one. This role requires regular travel to customer sites across the UK and Europe.

• Run technical demos and discovery sessions with enterprise buyers, from data platform leads up to CIOs
• Build and own our pre-sales playbook: demo narratives, discovery frameworks, objection handling, and reference architectures
• Own the competitive landscape. Know where we win against Palantir, the hyperscalers, and the semantic layer vendors, and know honestly where we don't
• Drive proofs of value from scoping through to signed proof of concept, holding the technical thread the whole way
• Translate customer environments and edge cases into structured product feedback that reaches engineering with enough context to act on
• Partner with our ML and infrastructure engineers on deployments, so what you promised in the room is what gets built
• Act as the technical voice of the customer internally, and the credible technical voice of zaimler externally

• 5+ years total experience, including 2 to 3 years in a hands‑on technical or data role before moving into a customer‑facing one. You've built something, not just presented about it
• Enterprise B2B software background; you understand 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, and honest judgment about what they can and can't do today
• The credibility to hold a room of senior engineers. You can 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 with being the only zaimler person on site

• You've done this at a field‑heavy data or AI company
• Experience with knowledge graphs, semantic layers, ontologies, or…