> Markdown version of [/jobs/ext/2999151-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/2999151-forward-deployed-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - **Company:** AI AGENTS LLC - **Location:** New York, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Warehousing, Graph Database, Python (Programming Language), SQL Databases, Large Language Models, Multi-Agent Systems, B2b Software, Data Layers - **Published:** September 19, 2026 - **Apply:** https://startup.jobs/forward-deployed-engineer-zaimler-10120682 ## About the Role * 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 ## Description * 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, * 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. ## Related Videos - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [ Your Code Is the Sales Team Now](https://www.wearedevelopers.com/videos/100327-your-code-is-the-sales-team-now) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [How to govern Vibe Coding for the Enterprise](https://www.wearedevelopers.com/videos/100290-how-to-govern-vibe-coding-for-the-enterprise) - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding)