Z

zaimler

AI readiness platform for enterprise data

Forward Deployed Engineer

Full-Time
No salary listed
Senior
New York, NY, USA
HybridHybrid in New York, with regular travel to customer sites across the UK and Europe.
Solution EngineeringPre-Sales Solution Engineering

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 business-to-business software experience, including understanding of long sales cycles, procurement, security reviews, and multi-stakeholder buying.
  • A track record of converting technical proofs of value into production commitments.
  • Fluency in the modern data stack, including data warehouses, data 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.
  • Credibility to engage senior engineers in architecture discussions and constructively challenge technical decisions.
  • Ability to understand room dynamics, including budget holders, veto holders, and potential champions.
  • Comfort working with ambiguity and being the only company representative on site.
Responsibilities
  • Run technical demonstrations and discovery sessions with enterprise buyers, from data platform leads through 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 the company’s positioning against Palantir, hyperscalers, and semantic layer vendors.
  • Drive proofs of value from scoping through signed proof of concept while maintaining the technical thread throughout.
  • Translate customer environments and edge cases into structured product feedback with sufficient context for engineering to act on.
  • Partner with machine learning and infrastructure engineers on deployments to ensure delivered systems match customer commitments.
  • Act as the technical voice of the customer internally and the company’s credible technical voice externally.
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, including financial services, insurance, telecommunications, or the public sector.
  • Enough Python or SQL experience 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 builds an enterprise data platform that makes data AI-ready by simplifying and organizing complex datasets for advanced applications. The platform ingests and structures data, automates taxonomy creation and knowledge-graph representations, and enables scalable preparation for machine learning and business intelligence. Led by veterans from LinkedIn, Meta, and Visa, Zaimler targets large-scale enterprises with an emphasis on AI readiness and scalable data infrastructure, backed by venture funding and early design partnerships. Its goal is to become the standard platform that lets large organizations unlock the value of their data through AI-ready infrastructure and scalable AI applications.

Company Size

1-10

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

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Simplify's Take

What believers are saying

  • Zaimler says it runs inside regulated enterprises and supports GDPR, HIPAA, and 23 NYCRR 500.
  • PremierAlts lists $35 million raised and a $107 million valuation in February 2026.
  • Hiring across San Mateo, New York, Texas, and Bangalore signals active commercialization.

What critics are saying

  • Context-layer software faces direct competition from Snowflake, Databricks, and hyperscalers adding native features.
  • Enterprise deployments demand deep integrations and governance, dragging sales cycles beyond 2026.
  • If regulated customers delay adoption, Zaimler becomes a feature, not a standalone company.

What makes zaimler unique

  • Sofus Macskassy and Biswajit Das bring LinkedIn, Meta, Visa, and Truera data-platform pedigree.
  • Zaimler auto-infers enterprise ontologies and serves query-time context inside customer VPCs.
  • It unifies SAP, Salesforce, and Snowflake data without migration or zero-copy export.

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Benefits

  • Health Insurance
  • Flexible PTO
  • Company Equity