Forward Deployed Engineer
ONE STOP COLLECTIBLE CORP
New York, NY, United States
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+2 more
Entity Resolution
Data Pipelines
Job 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.
Requirements
- 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.
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