Job description

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 at scale. Imagine 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, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We'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. About the Job We're looking for a Forward Deployed Engineer to own the technical front line of our enterprise deals in NAMER (East Coast). 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. What You Will Be Doing 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 Prior Experience 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 Nice to Haves You've done this at a field-heavy data or AI company Experience with knowledge graphs, semantic layers, ontologies, or entity resolution Deployments into regulated or air-gapped environments (financial services, insurance, telco, public sector) Enough Python or SQL to prototype in front of a customer rather than promising to follow up Prior startup or zero-to-one experience where you helped define the motion, not just execute it Multilingual, or experience selling across multiple European markets Why Join zaimler You'd be early. Real enterprise deployments already running, no pre-sales org to slot into, no playbook to inherit. How zaimler runs a technical evaluation in EMEA will mostly be how you decide to do it. The problem is genuinely unsolved. Most of enterprise AI right now is a wrapper. We're building the layer underneath. You'll be explaining something hard to people who will know if you're bluffing. You're building the region, not joining it. You'll be first on the ground in Europe, and the field motion you establish is the one the team we hire after you will inherit. Close to the people building it. What you hear in the room goes straight to a founding team still writing the roadmap, not into a request queue. Small enough that you move the number. You'll be able to point at specific accounts and know they went our way because of you. We value builders over résumés. If this role excites you but you don't check every box, we still want to hear from you. zaimler is an equal opportunity employer.

Requirements

Must-haves

We're looking for a Forward Deployed Engineer to own the technical front line of our enterprise deals in NAMER (East Coast).
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.
What You Will Be Doing
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
Prior Experience
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

Nice-to-haves

You've done this at a field-heavy data or AI company
Experience with knowledge graphs, semantic layers, ontologies, or entity resolution
Deployments into regulated or air-gapped environments (financial services, insurance, telco, public sector)
Enough Python or SQL to prototype in front of a customer rather than promising to follow up
Prior startup or zero-to-one experience where you helped define the motion, not just execute it
Multilingual, or experience selling across multiple European markets
Why Join zaimler
You'd be early. Real enterprise deployments already running, no pre-sales org to slot into, no playbook to inherit. How zaimler runs a technical evaluation in EMEA will mostly be how you decide to do it.
The problem is genuinely unsolved. Most of enterprise AI right now is a wrapper. We're building the layer underneath. You'll be explaining something hard to people who will know if you're bluffing.
You're building the region, not joining it. You'll be first on the ground in Europe, and the field motion you establish is the one the team we hire after you will inherit.
Close to the people building it. What you hear in the room goes straight to a founding team still writing the roadmap, not into a request queue.
Small enough that you move the number. You'll be able to point at specific accounts and know they went our way because of you.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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