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zaimler

AI readiness platform for enterprise data

Forward Deployed Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USANo salary listed

About the Job

Requirements

  • At least 5 years of total experience, including 2 to 3 years in a hands-on technical or data role before moving into a customer-facing role.
  • Enterprise B2B software experience, including familiarity with long sales cycles, procurement, security review, and multi-stakeholder buying.
  • A track record of converting technical proofs of value into production commitments.
  • Fluency in the modern data stack, including warehouses, pipelines, and enterprise data storage and governance.
  • Working knowledge of deploying large language model and agentic systems in production, with sound judgment about their current capabilities and limitations.
  • Ability to engage credibly with senior engineers on architecture and respond to technical challenges.
  • Ability to understand room dynamics, including budget holders, veto holders, and potential champions.
  • Comfort working amid ambiguity and being the only company representative on site.

Responsibilities

  • Run technical demos and discovery sessions with enterprise buyers, from data platform leads to chief information officers.
  • Build and own the pre-sales playbook, including demo narratives, discovery frameworks, objection handling, and reference architectures.
  • Own the competitive landscape, understanding where the company wins and loses against Palantir, hyperscalers, and semantic layer vendors.
  • Drive proofs of value from scoping through signed proof of concept, maintaining ownership of the technical process throughout.
  • Translate customer environments and edge cases into structured product feedback with enough context for engineering to act on.
  • Partner with machine learning and infrastructure engineers on deployments to ensure delivered work matches customer commitments.
  • Act as the technical voice of the customer internally and represent the company credibly in customer engagements.

Desired Qualifications

  • Experience at a field-heavy data or artificial intelligence company.
  • Experience with knowledge graphs, semantic layers, ontologies, or entity resolution.
  • Experience deploying into regulated or air-gapped environments, such as financial services, insurance, telecommunications, or the public sector.
  • Enough Python or SQL proficiency to prototype in front of a customer.
  • Prior startup or zero-to-one experience helping define a go-to-market motion.
  • Multilingual ability or experience selling across multiple European markets.

About the Company

zaimler

AI readiness platform for enterprise data

Zaimler builds an enterprise data platform that makes data AI-ready by simplifying and organizing complex datasets for advanced applications. The platform ingests and structures enterprise data, automates taxonomy creation and knowledge-graph representations, and processes data at scale to prepare datasets for machine learning and business intelligence. Led by veterans from LinkedIn, Meta, and Visa, it targets large enterprises with a focus on automating taxonomies and knowledge graphs, backed by venture funding and early design partnerships in a B2B subscription model. Its goal is to become the standard platform that unlocks the value of enterprise data for AI-driven decision making.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
Not listed

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