---
title: 'Forward Deployed Engineer at zaimler'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-zaimler-london-bmnf4zwdetry'
type: 'job'
last_seen: '2026-09-15'
---

# Forward Deployed Engineer at zaimler

- **Company:** zaimler
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-15
- **Apply:** https://jobs.lever.co/zaimler/d86dd3fc-eba8-4dd0-9aff-8f80de303878

## 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 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.

## 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.

## About zaimler

## Company Overview
- **One-liner**: zaimler provides a unified data context and governance layer that enables enterprises to build deterministic AI agents by curating siloed data into a live, governed ontology.
- **Entity Type**: Private (Seed stage; raised $10M)
- **Headquarters**: San Mateo, California, USA
- **Founded**: 2024
- **Founders**: Not publicly named (described as industry veterans with experience in data infrastructure and ML research)

## Core Business
- **Primary industry/industries**: Data Infrastructure & Analytics, Enterprise AI
- **Target customers**: B2B – large enterprises in insurance, travel, healthcare, and technology sectors
- **Mission or purpose statement**: “Make your data AI ready” – one governed model over existing data, serving every agent, analyst, and application.

## Products & Services
- **Platform**: The context and governance layer for agentic AI. Connects sources (ODS, lakehouses, systems of record), maps a unified model, and serves every workload from one foundation.
- **Ontology**: Auto-inferred by a semantic analyzer, validated by the team. Reduces ontology-building from quarters to days.
- **Explorer**: Natural-language query interface that traces every answer back to its source across all connected systems.
- **Governance**: Single control plane for policy, lineage, and audit. Enforces access policies across every source without moving data.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (Seed stage, raised $10M)
- **Key Metric**: Total funding of $10M (Seed round); signing 7-figure contracts with early enterprise customers.
- **Notable Investors/Partners**: Not explicitly named in available sources; investors are likely venture firms (undisclosed).
- **Growth Signals**: Team grew from 1 to ~12 employees (+150% YoY according to LinkedIn, though likely undercounted); hiring pace of 3 roles per 90 days; has significant traction with large contracts.

## Competitive Advantages
- **Auto-inferred ontology**: Uses semantic analysis to automatically map business concepts, replacing manual, quarter-long ontology builds.
- **Sovereign deployment**: Supports VPC, air-gapped, or on-prem deployments – critical for regulated industries.
- **Real-time context update**: Changes in source systems are reflected live without data movement.
- **Unified governance**: Access policies enforced from a single point of entry across all sources.

## Strategic Focus
- **Current priorities**: Scaling the platform to serve more enterprise workloads; expanding go-to-market in insurance, healthcare, and travel verticals; building out the engineering team (Data Infrastructure Engineer, Forward Deployed Engineer, BI Engineer).
- **Direction**: Becoming the standard infrastructure layer for agentic AI – enabling autonomous agents to reason over fragmented enterprise data with precision and trust.

## Why Work Here
- **Culture**: Lean, high-impact team of 12-50 people with deep expertise in data infrastructure and ML research. Emphasis on solving hard problems for enterprise AI.
- **Remote/Hybrid/Office**: Hybrid and on-site options depending on role:
  - San Mateo, CA – On-site (Data Infrastructure Engineer)
  - London, UK – Hybrid (Forward Deployed Engineer)
  - Bengaluru, India – On-site (BI Engineer)
- **Notable perks**: Not detailed in sources, but working at an early-stage, well-funded AI infrastructure startup with proven founder pedigree and large customer traction offers significant equity upside and ownership.

## Sources
1. [zaimler.ai](https://zaimler.ai/)
2. [jobs.lever.co/zaimler](https://jobs.lever.co/zaimler)
3. [linkedin.com/company/zaimler](https://linkedin.com/company/zaimler)
4. [builtin.com/company/zaimler](https://builtin.com/company/zaimler)
5. [getclera.com/companies/zaimler-ai](https://www.getclera.com/companies/zaimler-ai)

## Other roles at zaimler

- [Data Infrastructure Engineer (Query Engine)](https://feeny.ai/job/data-infrastructure-engineer-query-engine-zaimler-san-mateo-0v41r43srxm3) — San Mateo, CA
- [BI Integration Engineer](https://feeny.ai/job/bi-integration-engineer-zaimler-bengaluru-e17pw5jbaxff) — Bengaluru, India
- [Director of Marketing](https://feeny.ai/job/director-of-marketing-zaimler-san-mateo-nw9fjrradncn) — San Mateo, CA
- [Head of Product](https://feeny.ai/job/head-of-product-zaimler-san-mateo-fm34fzygn69c) — San Mateo, CA
- [Software Engineer in Test](https://feeny.ai/job/software-engineer-in-test-zaimler-bengaluru-vpb8vwf80z2g) — Bengaluru, India
- [Senior Security Engineer](https://feeny.ai/job/senior-security-engineer-zaimler-bengaluru-88fze44c7c21) — Bengaluru, India
- [Full Stack Engineer](https://feeny.ai/job/full-stack-engineer-zaimler-san-mateo-bakhw51wsntp) — San Mateo, CA
- [Backend Engineer](https://feeny.ai/job/backend-engineer-zaimler-bengaluru-ddk4wnsf4vkj) — Bengaluru, India
- [Cloud Infrastructure Engineer](https://feeny.ai/job/cloud-infrastructure-engineer-zaimler-bengaluru-hmf5pzhkerg9) — Bengaluru, India
- [ML Infrastructure Engineer](https://feeny.ai/job/ml-infrastructure-engineer-zaimler-san-mateo-vtjvm5effrqe) — San Mateo, CA