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# Forward Deployed Engineer

- **Company:** ONE STOP COLLECTIBLE CORP
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Architecture, Data Governance, Extract Transform Load (ETL), Data Warehousing, Graph Database, Python (Programming Language), Machine Learning, Standard Sql, AI Infrastructure, Large Language Models, B2b Software, Data Layers, Entity Resolution, Data Pipelines
- **Published:** October 11, 2026
- **Apply:** https://startup.jobs/senior-forward-deployed-engineer-clera-10376504

## About the Role

* At least 5 years of professional experience, including 2 to 3 years in a hands-on technical or data role.
 * A track record of converting technical proofs of value into production commitments in enterprise B2B software.
 * Strong knowledge of data warehouses, ETL/ELT pipelines, data governance, and enterprise data architecture.
 * Working knowledge of production LLM and agentic systems, including their capabilities and limitations.
 * Experience leading technical discovery, demonstrations, and end-to-end proofs of concept with enterprise stakeholders.
 * Python or SQL skills sufficient to prototype with customers; experience with knowledge graphs, semantic layers, ontologies, or entity resolution is a plus.
 * Experience in regulated or air-gapped environments, data or AI infrastructure, or an early-stage company is valuable.
 * Ability to travel regularly to customer sites across the UK and Europe.

## Description

* Lead customer discovery to understand data architecture, technical constraints, and business needs.
 * Scope and deliver proofs of value, from technical validation through production commitments.
 * Run product demonstrations, answer technical objections, and lead architecture discussions with senior stakeholders.
 * Develop reusable discovery frameworks, demo narratives, objection handling, and reference architectures.
 * Translate customer edge cases into actionable feedback for product and engineering teams.
 * Partner with machine learning and infrastructure teams to deliver deployments that meet customer requirements.
 * Navigate enterprise security reviews, procurement processes, and multi-stakeholder buying decisions.